Binary_Matrix.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Running-Machine-ML23-2/problem_2/blob/main/Binary_Matrix.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xD3K3AaWE-1Q"
      },
      "source": [
        "# 데이터 불러오기"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G4sWIuUm76sS"
      },
      "source": [
        "Thanks for 서현, 데이터를 불러올 수 있도록 여러 개로 균등/랜덤하게 나눈 것을 불러옵니다."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I09DpoEfBPCd",
        "outputId": "dbde91c1-b432-4f4f-da01-4439e2e2c5fb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "gO3-Hn0zExkx"
      },
      "outputs": [],
      "source": [
        "import pickle\n",
        "import numpy as np\n",
        "from collections import Counter\n",
        "\n",
        "# Load the subsetted pickle file  9500개임\n",
        "subset_pickle_path = '/content/drive/MyDrive/dataset_/mon_data_sub1.pkl'\n",
        "with open(subset_pickle_path, 'rb') as f:\n",
        "    X1, X2, y = pickle.load(f)\n",
        "\n",
        "# Convert tuples to lists\n",
        "X1_mon = list(X1) # Array for timestamps\n",
        "X2_mon = list(X2) # Array for packetsize\n",
        "y = list(y) # label\n",
        "\n",
        "outgoing_packets_fraction = []  # Array to store the outgoing packets fraction for unmonitored data\n",
        "std_outgoing_packet_ordering = []  # Array to store the standard deviation of outgoing packet ordering for unmonitored data\n",
        "\n",
        "for i in range(len(X1_mon)):\n",
        "    outgoing_packets = 0\n",
        "    packet_ordering = []\n",
        "    for j in range(len(X1_mon[i])):\n",
        "        if X2_mon[i][j] > 0:\n",
        "            outgoing_packets += 1\n",
        "            packet_ordering.append(X1_mon[i][j])\n",
        "    outgoing_packets_fraction.append(outgoing_packets / len(X1_mon[i]))\n",
        "    std_outgoing_packet_ordering.append(np.std(packet_ordering))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1GFylnIp8qzI",
        "outputId": "badf6ae0-7911-422f-91c4-7df264357885"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Loading datafile...\n"
          ]
        }
      ],
      "source": [
        "import pickle\n",
        "import numpy as np\n",
        "\n",
        "TOTAL_URLS = 3000  # total number in the dataset\n",
        "\n",
        "print(\"Loading datafile...\")\n",
        "with open('./drive/MyDrive/dataset_/unmon_data_sub1.pkl', 'rb') as f:  # Path to unmon_standard10.pkl in Colab\n",
        "    x = pickle.load(f)\n",
        "\n",
        "X1_unmon = [] # Array to store instances (timestamps) - 10,000 instances, e.g., [[0.0, 0.5, 3.4, ...], [0.0, 4.5, ...], [0.0, 1.5, ...], ... [... ,45.8]]\n",
        "X2_unmon = [] # Array to store instances (direction*size) - size information\n",
        "outgoing_packets_fraction_un = []  # Array to store the outgoing packets fraction for unmonitored data\n",
        "std_outgoing_packet_ordering_un = []  # Array to store the standard deviation of outgoing packet ordering for unmonitored data\n",
        "\n",
        "for i in range(TOTAL_URLS):\n",
        "    size_seq = []\n",
        "    time_seq = []\n",
        "    outgoing_packets = 0\n",
        "    packet_ordering = []\n",
        "    for c in x[i]:\n",
        "        dr = 1 if c > 0 else -1\n",
        "        time_seq.append(abs(c))\n",
        "        size_seq.append(dr * 512)  # In the pickle file, there is no size information, so the conversion code is set to multiply by 512 uniformly.\n",
        "        if dr == 1:\n",
        "            outgoing_packets += 1\n",
        "            packet_ordering.append(abs(c))\n",
        "    X1_unmon.append(time_seq)\n",
        "    X2_unmon.append(size_seq)\n",
        "    outgoing_packets_fraction_un.append(outgoing_packets / len(x[i]))\n",
        "    std_outgoing_packet_ordering_un.append(np.std(packet_ordering))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "QVilwVNBud-2"
      },
      "outputs": [],
      "source": [
        "#Categorical features-3\n",
        "def cat3_feat(X2):\n",
        "  in_packet_of_total_packet=[]\n",
        "  for i in range(len(X2)):\n",
        "    num_in_pack=0\n",
        "    for j in range(len(X2[i])):\n",
        "      if X2[i][j] == -512:\n",
        "        num_in_pack+=1\n",
        "    in_packet_of_total_packet.append(num_in_pack/len(X2[i]))\n",
        "  return in_packet_of_total_packet\n",
        "\n",
        "# 5.number of outgoing packets\n",
        "def cat5_feat(X2_mon):\n",
        "  out_sum=[0]*len(X2_mon)\n",
        "  for i in range(len(X2_mon)):\n",
        "    sum=0\n",
        "    for j in X2_mon[i]:\n",
        "      if j > 0:\n",
        "        sum+=1\n",
        "    out_sum[i]=sum\n",
        "  return out_sum\n",
        "\n",
        "cat5_result=cat5_feat(X2_mon)\n",
        "\n",
        "MAX_SEQUENCE_LENGTH = 100  # 시퀀스의 최대 길이\n",
        "\n",
        "def pad_sequence(seq, max_length):\n",
        "    if len(seq) < max_length:\n",
        "        seq += [0] * (max_length - len(seq))  # 패딩\n",
        "    else:\n",
        "        seq = seq[:max_length]  # 잘라냄\n",
        "    return seq\n",
        "\n",
        "def compute_bursts(sequence):\n",
        "    bursts = []\n",
        "    current_burst = sequence[0]\n",
        "\n",
        "    for size in sequence[1:]:\n",
        "        if np.sign(size) == np.sign(current_burst):\n",
        "            current_burst += size\n",
        "        else:\n",
        "            bursts.append(current_burst)\n",
        "            current_burst = size\n",
        "    bursts.append(current_burst)\n",
        "    return bursts\n",
        "\n",
        "X2_all = X2_mon + X2_unmon\n",
        "\n",
        "X1_all= X1_mon + X1_unmon\n",
        "\n",
        "X2_all = [pad_sequence(x, MAX_SEQUENCE_LENGTH) for x in X2_all]\n",
        "X1_all = [pad_sequence(x, MAX_SEQUENCE_LENGTH) for x in X1_all]\n",
        "\n",
        "X_mon_bursts = [pad_sequence(compute_bursts(x), MAX_SEQUENCE_LENGTH) for x in X2_mon]\n",
        "X_unmon_bursts = [pad_sequence(compute_bursts(x), MAX_SEQUENCE_LENGTH) for x in X2_unmon]\n",
        "X_bursts_all = X_mon_bursts+X_unmon_bursts\n",
        "\n",
        "X_mon_cumsum = [pad_sequence(np.cumsum(x).tolist(), MAX_SEQUENCE_LENGTH) for x in X2_mon]\n",
        "X_unmon_cumsum = [pad_sequence(np.cumsum(x).tolist(), MAX_SEQUENCE_LENGTH) for x in X2_unmon]\n",
        "X_cumsum_all = X_mon_cumsum + X_unmon_cumsum\n",
        "\n",
        "num_packets = [sum(1 for size in instance_sizes if size < 0) for instance_sizes in X2_mon]\n",
        "num_packets_un = [sum(1 for size in instance_sizes if size < 0) for instance_sizes in X2_unmon]\n",
        "X_CAT1 = num_packets+num_packets_un\n",
        "X_CAT2 = outgoing_packets_fraction+outgoing_packets_fraction_un\n",
        "X_CAT3 = cat3_feat(X2_mon)+cat3_feat(X2_unmon)\n",
        "X_CAT4 = std_outgoing_packet_ordering + std_outgoing_packet_ordering_un\n",
        "X_CAT5 = cat5_feat(X2_mon)+cat5_feat(X2_unmon)\n",
        "\n",
        "X_CAT1 = np.array(X_CAT1).reshape(-1, 1)\n",
        "X_CAT2 = np.array(X_CAT2).reshape(-1, 1)\n",
        "X_CAT3 = np.array(X_CAT3).reshape(-1, 1)\n",
        "X_CAT4 = np.array(X_CAT4).reshape(-1, 1)\n",
        "X_CAT5 = np.array(X_CAT5).reshape(-1, 1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "euIF3d1hukRM"
      },
      "outputs": [],
      "source": [
        "y = y + [-1] * 3000"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vMoQinTqtjO_"
      },
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-0632wQEwdKK",
        "outputId": "5cc19eb7-32bf-4130-e4c9-b590b3f011bd"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Features:  ('X2_all',)\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all',)\n",
            "Accuracy: 0.964\n",
            "Features:  ('X_bursts_all',)\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_cumsum_all',)\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_CAT1',)\n",
            "Accuracy: 0.765\n",
            "Features:  ('X_CAT2',)\n",
            "Accuracy: 0.769\n",
            "Features:  ('X_CAT4',)\n",
            "Accuracy: 0.769\n",
            "Features:  ('X_CAT3',)\n",
            "Accuracy: 0.770\n",
            "Features:  ('X_CAT5',)\n",
            "Accuracy: 0.769\n",
            "Features:  ('X2_all', 'X1_all')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_cumsum_all')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_CAT1')\n",
            "Accuracy: 0.964\n",
            "Features:  ('X1_all', 'X_CAT2')\n",
            "Accuracy: 0.965\n",
            "Features:  ('X1_all', 'X_CAT4')\n",
            "Accuracy: 0.968\n",
            "Features:  ('X1_all', 'X_CAT3')\n",
            "Accuracy: 0.965\n",
            "Features:  ('X1_all', 'X_CAT5')\n",
            "Accuracy: 0.964\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_cumsum_all', 'X_CAT1')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_CAT1', 'X_CAT2')\n",
            "Accuracy: 0.766\n",
            "Features:  ('X_CAT1', 'X_CAT4')\n",
            "Accuracy: 0.770\n",
            "Features:  ('X_CAT1', 'X_CAT3')\n",
            "Accuracy: 0.772\n",
            "Features:  ('X_CAT1', 'X_CAT5')\n",
            "Accuracy: 0.772\n",
            "Features:  ('X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.766\n",
            "Features:  ('X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.772\n",
            "Features:  ('X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.773\n",
            "Features:  ('X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.770\n",
            "Features:  ('X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.770\n",
            "Features:  ('X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.773\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 0.965\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 0.968\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 0.963\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 0.964\n",
            "Features:  ('X1_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.968\n",
            "Features:  ('X1_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.965\n",
            "Features:  ('X1_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.965\n",
            "Features:  ('X1_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.968\n",
            "Features:  ('X1_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.968\n",
            "Features:  ('X1_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.965\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.771\n",
            "Features:  ('X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.772\n",
            "Features:  ('X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.773\n",
            "Features:  ('X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.771\n",
            "Features:  ('X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.771\n",
            "Features:  ('X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.776\n",
            "Features:  ('X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.772\n",
            "Features:  ('X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.769\n",
            "Features:  ('X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.773\n",
            "Features:  ('X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.772\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.967\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.965\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.965\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.968\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.968\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.963\n",
            "Features:  ('X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.968\n",
            "Features:  ('X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.968\n",
            "Features:  ('X1_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.965\n",
            "Features:  ('X1_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.968\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.769\n",
            "Features:  ('X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.772\n",
            "Features:  ('X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.775\n",
            "Features:  ('X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.774\n",
            "Features:  ('X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.770\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.967\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.967\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.965\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.968\n",
            "Features:  ('X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.968\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.774\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.967\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 0.999\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n"
          ]
        }
      ],
      "source": [
        "from sklearn.ensemble import AdaBoostClassifier\n",
        "from sklearn.metrics import accuracy_score\n",
        "from itertools import combinations\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.model_selection import train_test_split\n",
        "import numpy as np\n",
        "\n",
        "# 피처 목록\n",
        "features = [X2_all, X1_all, X_bursts_all, X_cumsum_all, X_CAT1, X_CAT2, X_CAT4,X_CAT3,X_CAT5]\n",
        "feature_names = ['X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4','X_CAT3','X_CAT5']\n",
        "\n",
        "# 결과를 저장할 딕셔너리\n",
        "results = {}\n",
        "high_acc_models = {}  # 정확도가 0.99 이상인 모델을 저장할 딕셔너리\n",
        "\n",
        "# 레이블 재할당\n",
        "y = [1]*len(X1_mon) + [-1]*len(X1_unmon)\n",
        "\n",
        "# 가능한 모든 조합에 대해\n",
        "for r in range(1, len(features) + 1):\n",
        "    for subset_indices in combinations(range(len(features)), r):\n",
        "        subset = [features[i] for i in subset_indices]\n",
        "        subset_names = [feature_names[i] for i in subset_indices]\n",
        "\n",
        "        # 피처를 합칩니다\n",
        "        X = np.concatenate([np.array(feature) for feature in subset], axis=1)\n",
        "        X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "\n",
        "        # 모델 초기화\n",
        "        clf = AdaBoostClassifier(n_estimators=100,random_state=42)\n",
        "\n",
        "        # 모델 학습\n",
        "        clf.fit(X_train, y_train)\n",
        "\n",
        "        # 예측\n",
        "        y_pred = clf.predict(X_test)\n",
        "\n",
        "        # 성능 평가\n",
        "        accuracy = accuracy_score(y_test, y_pred)\n",
        "\n",
        "        # 결과 저장\n",
        "        results[tuple(subset_names)] = accuracy\n",
        "\n",
        "        # 정확도가 0.99 이상인 경우에만 모델 저장\n",
        "        if accuracy >= 0.98:\n",
        "            high_acc_models[tuple(subset_names)] = clf\n",
        "\n",
        "# 결과 출력\n",
        "for subset, accuracy in results.items():\n",
        "    print(\"Features: \", subset)\n",
        "    print(\"Accuracy: {:.3f}\".format(accuracy))\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "spEPlRmpls82"
      },
      "source": [
        "# Confusion Matrix"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RsMAuETilsXB",
        "outputId": "d8860ebf-0395-4d7d-9df0-523b273c9f40"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Accuracy: 1.000\n",
            "Confusion Matrix: \n",
            "[[ 579    0]\n",
            " [   1 1920]]\n"
          ]
        }
      ],
      "source": [
        "from sklearn.metrics import confusion_matrix\n",
        "\n",
        "# Confusion matrix 계산\n",
        "cm = confusion_matrix(y_test, y_pred)\n",
        "\n",
        "# 결과 및 Confusion matrix 출력\n",
        "print(\"Confusion Matrix: \")\n",
        "print(cm)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 619
        },
        "id": "Kt5U3muf02UB",
        "outputId": "509a523a-43ad-48c6-88d2-e1c84a97637b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1000x700 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.metrics import confusion_matrix\n",
        "\n",
        "# Confusion matrix 생성\n",
        "cm = confusion_matrix(y_test, y_pred)\n",
        "\n",
        "# Confusion matrix 시각화\n",
        "plt.figure(figsize=(10,7))\n",
        "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n",
        "plt.xlabel('Predicted')\n",
        "plt.ylabel('Truth')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l83w-HrgCJ5k"
      },
      "source": [
        "# Binary Classification Cross Validation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P9DDqR__CQXH"
      },
      "source": [
        "cross_val_score 함수를 사용\n",
        "\n",
        "5-fold cross-validation을 수행, cv=5 옵션으로 설정"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CfayJwGWCMVC",
        "outputId": "96bbf5f7-765f-4b2c-ad4c-7e27298f415e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Feature Combination:  ['X2_all']\n",
            "Cross-validation scores:  [0.9996 0.9996 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X1_all']\n",
            "Cross-validation scores:  [0.9588 0.9616 0.962  0.9604 0.952 ]\n",
            "Feature Combination:  ['X_bursts_all']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_cumsum_all']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X_CAT1']\n",
            "Cross-validation scores:  [0.7632 0.7604 0.76   0.7628 0.7584]\n",
            "Feature Combination:  ['X_CAT2']\n",
            "Cross-validation scores:  [0.7612 0.7596 0.7596 0.7608 0.7592]\n",
            "Feature Combination:  ['X_CAT4']\n",
            "Cross-validation scores:  [0.758  0.7592 0.76   0.76   0.7608]\n",
            "Feature Combination:  ['X_CAT3']\n",
            "Cross-validation scores:  [0.7648 0.762  0.7604 0.766  0.7568]\n",
            "Feature Combination:  ['X_CAT5']\n",
            "Cross-validation scores:  [0.76   0.7596 0.7604 0.7596 0.7604]\n",
            "Feature Combination:  ['X2_all', 'X1_all']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9992]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT2']\n",
            "Cross-validation scores:  [0.9996 0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9996 0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_CAT1']\n",
            "Cross-validation scores:  [0.9588 0.9624 0.9608 0.9604 0.952 ]\n",
            "Feature Combination:  ['X1_all', 'X_CAT2']\n",
            "Cross-validation scores:  [0.9632 0.9592 0.9624 0.958  0.9532]\n",
            "Feature Combination:  ['X1_all', 'X_CAT4']\n",
            "Cross-validation scores:  [0.966  0.9628 0.9648 0.9616 0.9616]\n",
            "Feature Combination:  ['X1_all', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9632 0.9608 0.9604 0.9604 0.9572]\n",
            "Feature Combination:  ['X1_all', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9588 0.9612 0.9608 0.9604 0.952 ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT2']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT4']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [0.7644 0.7616 0.7648 0.7644 0.758 ]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [0.7632 0.7604 0.76   0.7632 0.7604]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [0.7628 0.7608 0.7644 0.7684 0.7576]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [0.7628 0.7608 0.7624 0.7636 0.7596]\n",
            "Feature Combination:  ['X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [0.7596 0.758  0.76   0.7604 0.76  ]\n",
            "Feature Combination:  ['X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [0.7624 0.7644 0.762  0.7636 0.756 ]\n",
            "Feature Combination:  ['X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [0.7656 0.7632 0.7608 0.7596 0.76  ]\n",
            "Feature Combination:  ['X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [0.7592 0.758  0.7588 0.7652 0.7572]\n",
            "Feature Combination:  ['X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [0.762  0.7608 0.7604 0.7612 0.7608]\n",
            "Feature Combination:  ['X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [0.7628 0.7612 0.7604 0.7628 0.7596]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT2']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT4']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9996 0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_cumsum_all']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 0.9996 1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [0.9632 0.9596 0.9616 0.962  0.9532]\n",
            "Feature Combination:  ['X1_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [0.9652 0.9628 0.968  0.9608 0.9616]\n",
            "Feature Combination:  ['X1_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [0.962  0.9596 0.9616 0.962  0.9572]\n",
            "Feature Combination:  ['X1_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9588 0.962  0.9604 0.9604 0.952 ]\n",
            "Feature Combination:  ['X1_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [0.9664 0.9628 0.9648 0.9616 0.9592]\n",
            "Feature Combination:  ['X1_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9632 0.9608 0.962  0.9604 0.9532]\n",
            "Feature Combination:  ['X1_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9632 0.9552 0.958  0.958  0.9532]\n",
            "Feature Combination:  ['X1_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9644 0.9628 0.9648 0.9612 0.9616]\n",
            "Feature Combination:  ['X1_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [0.966  0.9628 0.9648 0.9616 0.9616]\n",
            "Feature Combination:  ['X1_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9616 0.9552 0.958  0.9604 0.9572]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [0.7608 0.7648 0.7664 0.7624 0.76  ]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [0.7632 0.7608 0.764  0.7668 0.758 ]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [0.7648 0.7608 0.764  0.7684 0.7596]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [0.7616 0.7624 0.7624 0.7664 0.7608]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [0.76   0.7612 0.7592 0.764  0.7632]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [0.7632 0.7596 0.762  0.7656 0.7608]\n",
            "Feature Combination:  ['X_CAT2', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [0.7608 0.76   0.7596 0.76   0.7564]\n",
            "Feature Combination:  ['X_CAT2', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [0.7628 0.7612 0.7612 0.7596 0.7608]\n",
            "Feature Combination:  ['X_CAT2', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [0.7636 0.7616 0.7616 0.7636 0.76  ]\n",
            "Feature Combination:  ['X_CAT4', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [0.7624 0.7632 0.7604 0.7624 0.7588]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9992]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9992]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9992]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9992]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9992]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9992]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9992]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT2', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT2', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT2', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT4', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 0.9996 1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 0.9996 1.    ]\n",
            "Feature Combination:  ['X1_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [0.9664 0.9628 0.968  0.9608 0.9592]\n",
            "Feature Combination:  ['X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9632 0.9596 0.9616 0.962  0.9532]\n",
            "Feature Combination:  ['X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9632 0.9596 0.9616 0.962  0.9532]\n",
            "Feature Combination:  ['X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9644 0.9628 0.968  0.9608 0.9616]\n",
            "Feature Combination:  ['X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9656 0.9628 0.968  0.9608 0.9616]\n",
            "Feature Combination:  ['X1_all', 'X_CAT1', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [0.962  0.9596 0.9616 0.962  0.9572]\n",
            "Feature Combination:  ['X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9664 0.9628 0.9648 0.9612 0.9592]\n",
            "Feature Combination:  ['X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9664 0.9628 0.9648 0.9616 0.9592]\n",
            "Feature Combination:  ['X1_all', 'X_CAT2', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9632 0.9552 0.958  0.9604 0.9532]\n",
            "Feature Combination:  ['X1_all', 'X_CAT4', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9644 0.9628 0.9648 0.9612 0.9616]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT1', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT2', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X_bursts_all', 'X_CAT4', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 0.9996 0.9996]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [0.76   0.7616 0.7628 0.7636 0.7596]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [0.7584 0.7612 0.7628 0.7624 0.756 ]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [0.7624 0.76   0.7628 0.7664 0.7608]\n",
            "Feature Combination:  ['X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [0.7616 0.7632 0.7632 0.7664 0.7608]\n",
            "Feature Combination:  ['X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [0.7616 0.764  0.7604 0.7616 0.76  ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_bursts_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT1', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT2', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X1_all', 'X_CAT4', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 1.    ]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 0.9996 0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [0.9996 0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9992 1.     0.9992]\n",
            "Feature Combination:  ['X2_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9992 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9992 1.     0.9996]\n",
            "Feature Combination:  ['X2_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n",
            "Feature Combination:  ['X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2']\n",
            "Cross-validation scores:  [1.     0.9996 0.9988 1.     0.9996]\n"
          ]
        }
      ],
      "source": [
        "from sklearn.ensemble import AdaBoostClassifier\n",
        "from sklearn.metrics import accuracy_score\n",
        "from itertools import combinations\n",
        "from sklearn.model_selection import cross_val_score, train_test_split\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "# 피처 목록\n",
        "features = [X2_all, X1_all, X_bursts_all, X_cumsum_all, X_CAT1, X_CAT2, X_CAT4,X_CAT3,X_CAT5]\n",
        "feature_names = ['X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4','X_CAT3','X_CAT5']\n",
        "\n",
        "# 결과를 저장할 딕셔너리\n",
        "results = {}\n",
        "best_model = None\n",
        "best_accuracy = 0\n",
        "best_features = None\n",
        "\n",
        "# 가능한 모든 조합에 대해\n",
        "for r in range(1, len(features) + 1):\n",
        "    for subset_indices in combinations(range(len(features)), r):\n",
        "        subset = [features[i] for i in subset_indices]\n",
        "        subset_names = [feature_names[i] for i in subset_indices]\n",
        "\n",
        "        # 피처를 합칩니다\n",
        "        X = np.concatenate([np.array(feature) for feature in subset], axis=1)\n",
        "        X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "\n",
        "        # 모델 초기화\n",
        "        clf = AdaBoostClassifier(n_estimators=100,random_state=42)\n",
        "\n",
        "        # 모델 학습\n",
        "        clf.fit(X_train, y_train)\n",
        "\n",
        "        # 예측\n",
        "        y_pred = clf.predict(X_test)\n",
        "\n",
        "        # 성능 평가\n",
        "        accuracy = accuracy_score(y_test, y_pred)\n",
        "\n",
        "        # 교차 검증\n",
        "        scores = cross_val_score(clf, X, y, cv=5)  # 5-fold cross-validation\n",
        "        print(\"Feature Combination: \", subset_names)  # 피처 조합 출력\n",
        "        print(\"Cross-validation scores: \", scores)\n",
        "\n",
        "        # 결과 저장\n",
        "        results[tuple(subset_names)] = accuracy\n",
        "\n",
        "        # 가장 높은 정확도를 갖는 모델 저장\n",
        "        if accuracy > best_accuracy:\n",
        "            best_accuracy = accuracy\n",
        "            best_model = clf\n",
        "            best_features = subset_names\n",
        "\n",
        "# 가장 높은 정확도를 갖는 피처 조합의 피처 중요도 계산\n",
        "importances = best_model.feature_importances_\n",
        "print(\"Best Features: \", best_features)\n",
        "print(\"Best Accuracy: {:.3f}\".format(best_accuracy))\n",
        "print(\"Importances: \", importances)\n",
        "indices = np.argsort(importances)\n",
        "plt.figure(figsize=(12, 8))\n",
        "plt.title('Feature Importances')\n",
        "plt.barh(range(len(indices)), importances[indices], color='b', align='center')\n",
        "plt.yticks(range(len(indices)), [best_features[i] for i in indices])\n",
        "plt.xlabel('Relative Importance')\n",
        "plt.show()\n",
        "\n",
        "# 결과 출력\n",
        "for subset, accuracy in results.items():\n",
        "    print(\"Features: \", subset)\n",
        "    print(\"Accuracy: {:.3f}\".format(accuracy))\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Us8hIIX9uH-z"
      },
      "source": [
        "# ROC"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rKnWQGeYuHTE",
        "outputId": "aea326f9-0fbc-464d-bd5b-e0a180574d73"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ROC AUC:  [0.0]\n",
            "Precision: 0.500\n",
            "Recall: 0.116\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ]
        }
      ],
      "source": [
        "from sklearn.metrics import roc_curve, auc, precision_score, recall_score, confusion_matrix\n",
        "from sklearn.preprocessing import label_binarize\n",
        "from sklearn.multiclass import OneVsRestClassifier\n",
        "\n",
        "y_bin = label_binarize(y, classes=[-1, 1])\n",
        "n_classes = y_bin.shape[1]\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y_bin, test_size=0.2, random_state=42)\n",
        "\n",
        "clf = OneVsRestClassifier(AdaBoostClassifier(n_estimators=100, random_state=0))\n",
        "y_score = clf.fit(X_train, y_train).predict_proba(X_test)\n",
        "\n",
        "# 각 클래스에 대해 ROC AUC를 계산합니다.\n",
        "roc_auc = []\n",
        "for i in range(n_classes):\n",
        "    fpr, tpr, _ = roc_curve(y_test[:, i], y_score[:, i])\n",
        "    roc_auc.append(auc(fpr, tpr))\n",
        "\n",
        "# Precision과 Recall을 계산합니다.\n",
        "y_test_multiclass = y_test.argmax(axis=1)\n",
        "y_pred_multiclass = y_score.argmax(axis=1)\n",
        "\n",
        "precision = precision_score(y_test_multiclass, y_pred_multiclass, average='macro')\n",
        "recall = recall_score(y_test_multiclass, y_pred_multiclass, average='macro')\n",
        "\n",
        "print(\"ROC AUC: \", roc_auc)\n",
        "print(\"Precision: {:.3f}\".format(precision))\n",
        "print(\"Recall: {:.3f}\".format(recall))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 927
        },
        "id": "jThGdMxdyNib",
        "outputId": "bb41e3d3-0dd0-40da-b393-d02a21b71a47"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from sklearn.metrics import roc_curve, auc, precision_recall_curve\n",
        "\n",
        "# ROC curve를 그립니다.\n",
        "for i in range(n_classes):\n",
        "    fpr, tpr, _ = roc_curve(y_test[:, i], y_score[:, i])\n",
        "    roc_auc = auc(fpr, tpr)\n",
        "    plt.plot(fpr, tpr, label='Class {} (area = {:.2f})'.format(i, roc_auc))\n",
        "\n",
        "plt.plot([0, 1], [0, 1], 'k--')\n",
        "plt.xlim([0.0, 1.0])\n",
        "plt.ylim([0.0, 1.05])\n",
        "plt.xlabel('False Positive Rate')\n",
        "plt.ylabel('True Positive Rate')\n",
        "plt.title('Receiver Operating Characteristic')\n",
        "plt.legend(loc=\"lower right\")\n",
        "plt.show()\n",
        "\n",
        "# Precision-Recall curve를 그립니다.\n",
        "for i in range(n_classes):\n",
        "    precision, recall, _ = precision_recall_curve(y_test[:, i], y_score[:, i])\n",
        "    plt.plot(recall, precision, label='Class {}'.format(i))\n",
        "\n",
        "plt.xlim([0.0, 1.0])\n",
        "plt.ylim([0.0, 1.05])\n",
        "plt.xlabel('Recall')\n",
        "plt.ylabel('Precision')\n",
        "plt.title('Precision-Recall curve')\n",
        "plt.legend(loc=\"lower right\")\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zQ8gPP5AA6W4"
      },
      "source": [
        "# Feature importance 정리"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "72LKr-YpsK7P",
        "outputId": "d759b2ce-4de4-45ba-8452-5c6e5057a86e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43m스트리밍 출력 내용이 길어서 마지막 5000줄이 삭제되었습니다.\u001b[0m\n",
            " 0.03 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.06\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.02 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.04 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.1  0.15 0.   0.01 0.\n",
            " 0.01 0.   0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.03 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.05\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.13 0.   0.03 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.02 0.02 0.01 0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.1  0.1  0.01 0.01 0.01\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.02\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.09\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.06 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.02 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.04 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.02 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.08 0.15 0.   0.01 0.\n",
            " 0.01 0.   0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.03 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.06\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.03 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.05 0.17 0.02 0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.02 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.06\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.15 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.02 0.07 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.19 0.05 0.01 0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.01 0.   0.01 0.02 0.   0.   0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.01 0.02 0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.01 0.02 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.01 0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.14 0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.04 0.   0.01 0.02 0.   0.   0.   0.\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.21 0.03 0.01 0.02 0.01\n",
            " 0.   0.   0.01 0.01 0.01 0.01 0.01 0.01 0.02 0.   0.   0.01 0.   0.01\n",
            " 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.01\n",
            " 0.   0.   0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.03 0.   0.01 0.01 0.02 0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.01 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.18 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.02 0.07 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.16 0.05 0.01 0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.01 0.   0.01 0.02 0.   0.   0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.01 0.02 0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.01 0.02 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.01 0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.16 0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.06 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.18 0.05 0.01 0.02 0.01\n",
            " 0.   0.   0.01 0.   0.01 0.02 0.01 0.01 0.   0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.01 0.01 0.   0.01 0.   0.01\n",
            " 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.01 0.   0.02 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.06 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.13 0.05 0.01 0.02 0.02\n",
            " 0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.   0.01 0.   0.   0.01 0.02\n",
            " 0.   0.   0.01 0.01 0.   0.   0.02 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.02 0.   0.   0.   0.   0.01 0.   0.01\n",
            " 0.01 0.   0.01 0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.02 0.03]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.15 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.02 0.07 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.18 0.07 0.01 0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.02 0.01 0.01 0.   0.01 0.02 0.   0.   0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.01\n",
            " 0.   0.   0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.01 0.01 0.01 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.01 0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.18 0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.05 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.16 0.05 0.01 0.02 0.01\n",
            " 0.   0.   0.01 0.   0.   0.01 0.01 0.   0.   0.   0.02 0.   0.01 0.01\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.02 0.\n",
            " 0.02 0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.17 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.07 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.16 0.06 0.01 0.02 0.02\n",
            " 0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.   0.01 0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.02 0.   0.   0.01 0.01 0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.01 0.02 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.01 0.   0.01 0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.23 0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.02 0.   0.01 0.02 0.   0.   0.   0.01\n",
            " 0.01 0.   0.02 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.14 0.07 0.   0.02 0.01\n",
            " 0.   0.   0.02 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.02\n",
            " 0.01 0.   0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.01 0.   0.\n",
            " 0.02 0.   0.01 0.02 0.01 0.   0.02 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.05 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.14 0.05 0.01 0.02 0.01\n",
            " 0.   0.   0.01 0.   0.   0.01 0.01 0.   0.   0.   0.02 0.   0.01 0.01\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.02 0.\n",
            " 0.02 0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.21 0.   0.12 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.01 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.01 0.02 0.   0.01 0.04 0.08 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.18 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.02 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.19 0.02 0.04 0.03 0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.03 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.03 0.01 0.01 0.   0.02 0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.\n",
            " 0.   0.   0.03 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.02 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.07 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.04]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.19 0.   0.12 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.01 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.01 0.02 0.   0.01 0.04 0.08 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.02 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.15 0.02 0.02 0.03 0.02 0.02 0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.   0.   0.03 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.06 0.04 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.01 0.01 0.01 0.02 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.19 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.04 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.07]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.19 0.02 0.06 0.03 0.01 0.01 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.02 0.01 0.   0.01 0.01 0.01 0.   0.\n",
            " 0.01 0.02 0.03 0.01 0.   0.02 0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.11 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.24 0.   0.14 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.02 0.03 0.03 0.01 0.01 0.08 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.17 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.17 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.2  0.01 0.02 0.04 0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.03 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.05 0.07 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.02 0.01 0.02 0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.14 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.04 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.06]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.2  0.03 0.03 0.03 0.02 0.01 0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.02 0.02 0.01 0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.03 0.03 0.   0.   0.01 0.02 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.15 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.06 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.04]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.25 0.   0.12 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.04 0.03 0.01 0.01 0.06 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.16 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.15 0.03 0.02 0.04 0.01 0.03 0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.05 0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.02 0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.19 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.04 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.07]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.34 0.   0.02 0.02 0.01 0.02 0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.07 0.06 0.   0.01 0.02 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.07 0.02 0.08]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.31 0.   0.01 0.02 0.01 0.01 0.\n",
            " 0.   0.01 0.   0.   0.01 0.02 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.06 0.09 0.   0.02 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.01 0.02 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.11 0.02 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.33 0.   0.02 0.02 0.01 0.   0.01\n",
            " 0.   0.01 0.   0.01 0.   0.01 0.   0.01 0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.01 0.01 0.   0.01\n",
            " 0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.06 0.03 0.   0.01 0.01 0.01 0.   0.   0.01\n",
            " 0.01 0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.02 0.03 0.1 ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.34 0.   0.02 0.02 0.01 0.02 0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.07 0.06 0.   0.01 0.02 0.   0.   0.   0.\n",
            " 0.02 0.   0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.07 0.08 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.33 0.   0.02 0.02 0.02 0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.02\n",
            " 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.02 0.07 0.04 0.   0.01 0.02 0.   0.   0.   0.01\n",
            " 0.01 0.01 0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.04 0.07]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.31 0.   0.02 0.03 0.01 0.   0.01\n",
            " 0.   0.   0.   0.01 0.   0.01 0.   0.01 0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.01 0.01 0.   0.01\n",
            " 0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.05 0.03 0.   0.01 0.01 0.01 0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.01 0.04 0.13]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.34 0.   0.02 0.01 0.01 0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.01 0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.01\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.06 0.06 0.01 0.01 0.01 0.   0.   0.   0.02\n",
            " 0.02 0.   0.01 0.   0.01 0.01 0.02 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.09 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.35 0.   0.02 0.03 0.01 0.   0.01\n",
            " 0.   0.   0.   0.01 0.   0.02 0.01 0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.09 0.04 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.01 0.   0.03 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.02 0.03 0.04]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.34 0.   0.03 0.03 0.01 0.01 0.01\n",
            " 0.01 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.01 0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.01 0.01 0.   0.01\n",
            " 0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.05 0.03 0.   0.02 0.02 0.   0.   0.   0.\n",
            " 0.   0.01 0.02 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.02 0.01 0.1 ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.33 0.   0.02 0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.01 0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.01\n",
            " 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.06 0.05 0.   0.01 0.02 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.08 0.03 0.03]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.08 0.13 0.02 0.02 0.   0.02 0.\n",
            " 0.02 0.01 0.   0.02 0.   0.01 0.   0.   0.01 0.   0.01 0.01 0.   0.\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.01 0.01 0.   0.01 0.   0.03 0.01 0.01 0.01 0.   0.   0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.   0.   0.01 0.01 0.01 0.01 0.03 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.04]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.01 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.04 0.16 0.02 0.02 0.01 0.02 0.\n",
            " 0.02 0.   0.01 0.01 0.01 0.02 0.   0.01 0.02 0.   0.01 0.02 0.   0.\n",
            " 0.01 0.01 0.01 0.   0.01 0.01 0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.03 0.   0.   0.   0.02 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.02 0.   0.   0.   0.   0.   0.01 0.01 0.01 0.01 0.04 0.\n",
            " 0.   0.   0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.05 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.05 0.22 0.01 0.03 0.01 0.03 0.\n",
            " 0.02 0.01 0.   0.02 0.   0.01 0.   0.01 0.03 0.   0.01 0.01 0.01 0.\n",
            " 0.   0.01 0.   0.   0.02 0.01 0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.01\n",
            " 0.01 0.01 0.03 0.   0.01 0.   0.   0.   0.01 0.   0.01 0.   0.04 0.\n",
            " 0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.01 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.05 0.15 0.01 0.03 0.   0.02 0.\n",
            " 0.02 0.01 0.   0.02 0.   0.01 0.   0.01 0.01 0.01 0.02 0.01 0.01 0.\n",
            " 0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.01 0.01 0.   0.   0.02 0.   0.01 0.01 0.01 0.01 0.01 0.   0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.   0.   0.01 0.01 0.01 0.01 0.04 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.06 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.08 0.23 0.02 0.02 0.   0.02 0.\n",
            " 0.02 0.01 0.01 0.01 0.01 0.02 0.   0.   0.03 0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.02 0.   0.01 0.01 0.01 0.01 0.   0.01 0.   0.\n",
            " 0.01 0.02 0.02 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.04 0.\n",
            " 0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.01 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.07 0.14 0.01 0.03 0.01 0.02 0.\n",
            " 0.01 0.   0.   0.02 0.   0.01 0.   0.   0.   0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.02 0.01 0.   0.   0.01 0.   0.01 0.01 0.01 0.01 0.01 0.   0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.01 0.   0.01 0.01 0.02 0.01 0.04 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.02 0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.06 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.06 0.13 0.02 0.03 0.01 0.02 0.\n",
            " 0.02 0.01 0.   0.02 0.   0.01 0.   0.   0.   0.   0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.02 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.03 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.06 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.04 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.1  0.23 0.02 0.02 0.   0.02 0.\n",
            " 0.02 0.01 0.01 0.01 0.01 0.02 0.   0.   0.03 0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.02 0.   0.01 0.01 0.01 0.01 0.   0.01 0.   0.\n",
            " 0.01 0.02 0.02 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.04 0.\n",
            " 0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.06 0.14 0.02 0.02 0.01 0.02 0.\n",
            " 0.02 0.01 0.   0.02 0.01 0.01 0.   0.01 0.02 0.01 0.01 0.02 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.02 0.   0.01 0.   0.01 0.01 0.01 0.01 0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.   0.   0.01 0.01 0.01 0.01 0.03 0.01\n",
            " 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.04 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.05 0.13 0.02 0.03 0.01 0.02 0.\n",
            " 0.02 0.01 0.   0.02 0.   0.01 0.   0.   0.   0.   0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.02 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.03 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.2  0.04 0.02 0.03 0.01 0.01 0.\n",
            " 0.01 0.   0.01 0.01 0.01 0.01 0.01 0.01 0.04 0.01 0.01 0.01 0.02 0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.01 0.01 0.   0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.02 0.03]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.21 0.05 0.02 0.02 0.01 0.01 0.\n",
            " 0.01 0.   0.01 0.01 0.   0.   0.   0.01 0.04 0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.   0.01 0.02 0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.02 0.   0.01 0.01 0.02 0.   0.   0.01 0.01 0.01 0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.03 0.01\n",
            " 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.01 0.02 0.  ]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.16 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.17 0.03 0.01 0.03 0.01 0.01 0.\n",
            " 0.02 0.   0.01 0.01 0.   0.01 0.   0.01 0.04 0.   0.01 0.02 0.02 0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.02 0.01 0.01 0.   0.02 0.   0.01 0.01 0.01 0.01 0.01 0.01 0.   0.\n",
            " 0.   0.01 0.01 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.14 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.17 0.04 0.02 0.03 0.01 0.01 0.\n",
            " 0.01 0.   0.01 0.01 0.01 0.01 0.01 0.01 0.04 0.01 0.01 0.01 0.02 0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.01 0.01 0.   0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.03 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.15 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.16 0.05 0.02 0.02 0.01 0.02 0.\n",
            " 0.01 0.   0.01 0.01 0.02 0.01 0.01 0.01 0.   0.01 0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.02 0.01 0.   0.01\n",
            " 0.02 0.01 0.01 0.01 0.01 0.   0.01 0.   0.   0.01 0.   0.01 0.01 0.\n",
            " 0.02 0.01 0.02 0.   0.01 0.   0.01 0.   0.01 0.   0.01 0.01 0.02 0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.03]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.16 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.17 0.03 0.01 0.03 0.01 0.01 0.\n",
            " 0.02 0.   0.01 0.01 0.   0.01 0.   0.01 0.04 0.   0.01 0.02 0.02 0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.02 0.01 0.01 0.   0.02 0.   0.01 0.01 0.01 0.01 0.01 0.01 0.   0.\n",
            " 0.   0.01 0.01 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.17 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.15 0.04 0.02 0.03 0.   0.02 0.\n",
            " 0.01 0.   0.01 0.01 0.   0.01 0.01 0.01 0.02 0.01 0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.02 0.01 0.   0.01 0.01 0.   0.   0.   0.01 0.   0.01 0.01 0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.01 0.   0.01 0.01 0.01 0.01 0.03 0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.02 0.01 0.  ]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.14 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.18 0.05 0.02 0.02 0.01 0.02 0.\n",
            " 0.01 0.   0.   0.01 0.01 0.01 0.01 0.01 0.04 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.02 0.01 0.   0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.02 0.02 0.04]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.14 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.18 0.04 0.02 0.02 0.01 0.01 0.\n",
            " 0.02 0.   0.01 0.01 0.01 0.   0.   0.01 0.06 0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.01 0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.01 0.01 0.01 0.   0.\n",
            " 0.01 0.   0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.03 0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.03]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.16 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.16 0.05 0.02 0.02 0.01 0.02 0.\n",
            " 0.01 0.   0.   0.01 0.01 0.01 0.01 0.01 0.04 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.02 0.01 0.   0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.02 0.02 0.04]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.09 0.02 0.01 0.03 0.01 0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.18 0.17 0.15]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.11 0.02 0.01 0.01 0.01 0.02 0.\n",
            " 0.   0.   0.   0.01 0.01 0.02 0.01 0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.03 0.   0.03 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.23 0.11 0.11]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.13 0.01 0.01 0.01 0.01 0.01 0.\n",
            " 0.   0.01 0.   0.01 0.01 0.02 0.01 0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.16 0.16 0.14]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.13 0.02 0.01 0.03 0.01 0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.18 0.15 0.17]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.08 0.01 0.01 0.02 0.01 0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.14 0.   0.   0.   0.\n",
            " 0.02 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.01 0.14 0.21 0.15]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.14 0.01 0.01 0.01 0.01 0.01 0.\n",
            " 0.   0.01 0.   0.01 0.01 0.02 0.01 0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.16 0.16 0.14]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.12 0.02 0.01 0.01 0.01 0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.01 0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.16 0.27 0.1 ]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.11 0.01 0.01 0.01 0.02 0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.   0.01 0.01 0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.02 0.07 0.28 0.15]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.11 0.02 0.01 0.02 0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.03 0.01 0.01 0.01 0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.01 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.   0.   0.\n",
            " 0.02 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.01 0.1  0.12 0.23]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.07 0.01 0.01 0.01 0.02 0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.15 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.   0.01 0.01 0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.02 0.28 0.07 0.15]\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.28 0.   0.01 0.02 0.01 0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.16 0.12 0.15 0.07]\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.27 0.   0.01 0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.01 0.01 0.   0.   0.   0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.01 0.   0.01 0.01 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.13 0.13 0.09]\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.28 0.   0.01 0.03 0.01 0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.02 0.01 0.   0.01 0.   0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.01 0.   0.01 0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.1  0.08 0.13]\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.27 0.   0.01 0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.01 0.01 0.   0.   0.   0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.01 0.   0.01 0.01 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.13 0.13 0.09]\n",
            "Features:  ('X2_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.28 0.   0.01 0.02 0.01 0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.11 0.15 0.06 0.16]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2')\n",
            "Importances:  [0.   0.01 0.   0.02 0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.2  0.1  0.   0.01 0.01 0.01 0.\n",
            " 0.03 0.   0.   0.02 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.   0.   0.01 0.   0.01 0.01 0.   0.01 0.   0.01 0.01 0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.   0.01 0.\n",
            " 0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.02 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.09 0.19 0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.02 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3')\n",
            "Importances:  [0.   0.01 0.   0.02 0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.02 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.15 0.1  0.   0.01 0.01 0.01 0.\n",
            " 0.03 0.   0.   0.02 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.   0.   0.01 0.   0.01 0.01 0.   0.01 0.   0.01 0.01 0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.   0.01 0.\n",
            " 0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.17 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.03 0.   0.01 0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.18 0.09 0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.19 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.07 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.09 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.1  0.19 0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.02 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.02]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.01 0.   0.02 0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.02 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.16 0.1  0.   0.01 0.01 0.01 0.\n",
            " 0.03 0.   0.   0.02 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.   0.   0.01 0.   0.01 0.01 0.   0.01 0.   0.01 0.01 0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.   0.01 0.\n",
            " 0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.16 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.02\n",
            " 0.02 0.   0.04 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.19 0.09 0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.18 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.07 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.09 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.02\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.09 0.19 0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.02 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.01 0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.12 0.15 0.02 0.01 0.01 0.01 0.01\n",
            " 0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.02 0.01 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.03 0.   0.   0.01 0.   0.   0.01 0.   0.01 0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.13 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.02\n",
            " 0.02 0.   0.02 0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.18 0.09 0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.19 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.07 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.09 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.02 0.05 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.02 0.   0.35 0.05 0.01 0.02 0.01 0.01 0.\n",
            " 0.01 0.   0.   0.02 0.   0.   0.   0.01 0.   0.   0.01 0.02 0.   0.\n",
            " 0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.02]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.01 0.   0.02 0.03 0.   0.01 0.   0.   0.   0.02 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.01 0.35 0.06 0.01 0.02 0.01 0.   0.\n",
            " 0.02 0.   0.01 0.02 0.01 0.   0.   0.01 0.   0.   0.01 0.02 0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.01 0.   0.03 0.01\n",
            " 0.01 0.02 0.   0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.  ]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.02 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.34 0.08 0.01 0.02 0.01 0.   0.\n",
            " 0.   0.01 0.01 0.01 0.02 0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.01 0.01 0.   0.   0.02 0.   0.01 0.   0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.02 0.\n",
            " 0.01 0.02 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.02 0.05 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.01 0.35 0.05 0.01 0.02 0.01 0.01 0.\n",
            " 0.01 0.   0.   0.02 0.   0.   0.   0.01 0.   0.   0.01 0.02 0.   0.\n",
            " 0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.02 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.04 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.02 0.37 0.06 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.   0.01 0.02 0.01 0.   0.   0.01 0.   0.01 0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.   0.   0.01 0.01 0.01 0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.03 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.02 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.02 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.34 0.08 0.01 0.02 0.01 0.   0.\n",
            " 0.   0.01 0.01 0.01 0.02 0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.01 0.01 0.   0.   0.02 0.   0.01 0.   0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.02 0.\n",
            " 0.01 0.02 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.01 0.02 0.02 0.05 0.   0.   0.01 0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.34 0.06 0.01 0.02 0.01 0.   0.\n",
            " 0.   0.01 0.01 0.02 0.   0.01 0.   0.   0.02 0.   0.01 0.02 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.02 0.01 0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.02 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.04 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.02 0.01 0.37 0.06 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.   0.01 0.02 0.01 0.   0.   0.01 0.   0.01 0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.   0.   0.01 0.01 0.01 0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.03 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.02 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.02 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.34 0.08 0.01 0.02 0.01 0.   0.\n",
            " 0.   0.01 0.01 0.01 0.02 0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.01 0.01 0.   0.   0.02 0.   0.01 0.   0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.02 0.\n",
            " 0.01 0.02 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.04 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.02 0.37 0.06 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.   0.01 0.02 0.01 0.   0.   0.01 0.   0.01 0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.   0.   0.01 0.01 0.01 0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.03 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.02 0.   0.01]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.01 0.   0.05 0.04 0.   0.   0.01 0.   0.   0.   0.   0.   0.04\n",
            " 0.02 0.   0.01 0.01 0.02 0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.4  0.   0.   0.   0.\n",
            " 0.05 0.01 0.   0.06 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.01 0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.08 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.02 0.01 0.02]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.02 0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.02 0.02 0.02 0.04 0.05 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.39 0.   0.   0.   0.\n",
            " 0.03 0.01 0.   0.12 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.13 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.02 0.01 0.01]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.03 0.01 0.04 0.07 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.02 0.02 0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.35 0.   0.   0.   0.\n",
            " 0.04 0.01 0.01 0.07 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.03 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.01 0.\n",
            " 0.1  0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.01 0.   0.05 0.04 0.   0.   0.01 0.   0.   0.   0.   0.01 0.02\n",
            " 0.03 0.   0.01 0.   0.03 0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.4  0.   0.   0.   0.\n",
            " 0.05 0.01 0.   0.06 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.01 0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.08 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.02 0.02 0.01]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.03 0.02\n",
            " 0.02 0.02 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.38 0.   0.   0.   0.\n",
            " 0.03 0.01 0.   0.11 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.15 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.03 0.01]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.02 0.02 0.04 0.07 0.   0.   0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.02 0.02 0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.35 0.   0.   0.   0.\n",
            " 0.04 0.01 0.01 0.07 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.03 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.01 0.\n",
            " 0.1  0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.02\n",
            " 0.01 0.03 0.   0.01 0.09 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.42 0.   0.   0.   0.\n",
            " 0.03 0.   0.   0.15 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.17 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.  ]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.02 0.02 0.   0.01 0.01 0.   0.   0.   0.   0.01 0.01\n",
            " 0.01 0.03 0.01 0.03 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.38 0.   0.   0.   0.\n",
            " 0.04 0.01 0.01 0.09 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.11 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.04 0.03 0.02]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.03 0.01 0.04 0.07 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.02 0.02 0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.35 0.   0.   0.   0.\n",
            " 0.04 0.01 0.01 0.07 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.03 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.01 0.\n",
            " 0.1  0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.02 0.02 0.   0.01 0.01 0.   0.   0.   0.   0.01 0.01\n",
            " 0.01 0.   0.02 0.02 0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.4  0.   0.   0.   0.\n",
            " 0.04 0.01 0.01 0.09 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.1  0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.03 0.03 0.02]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.11 0.16 0.01 0.02 0.   0.02 0.   0.02 0.01\n",
            " 0.01 0.01 0.   0.01 0.   0.   0.03 0.01 0.01 0.01 0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.02 0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.01 0.01 0.01 0.   0.   0.02 0.01 0.01 0.01\n",
            " 0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.   0.03 0.   0.02 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.13 0.15 0.02 0.02 0.   0.02 0.   0.01 0.01\n",
            " 0.01 0.02 0.   0.01 0.   0.01 0.07 0.   0.02 0.01 0.   0.   0.   0.02\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.01 0.01 0.01\n",
            " 0.   0.01 0.02 0.   0.   0.01 0.   0.01 0.01 0.01 0.01 0.01 0.01 0.01\n",
            " 0.02 0.   0.01 0.   0.   0.   0.   0.   0.02 0.01 0.03 0.01 0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.12 0.14 0.01 0.03 0.   0.02 0.   0.02 0.01\n",
            " 0.01 0.02 0.   0.01 0.   0.   0.04 0.   0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.01 0.01 0.01 0.01 0.   0.01 0.01 0.01 0.01\n",
            " 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.02 0.01 0.03 0.01 0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.01]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.11 0.16 0.01 0.02 0.   0.02 0.   0.02 0.01\n",
            " 0.01 0.01 0.   0.01 0.   0.   0.03 0.01 0.01 0.01 0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.02 0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.01 0.01 0.01 0.   0.   0.02 0.01 0.01 0.01\n",
            " 0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.   0.03 0.   0.02 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.17 0.14 0.02 0.03 0.01 0.02 0.   0.02 0.01\n",
            " 0.   0.02 0.   0.01 0.   0.01 0.02 0.01 0.02 0.01 0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.01 0.   0.01 0.01 0.   0.   0.01 0.01 0.02 0.01\n",
            " 0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.02 0.01 0.   0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.14 0.14 0.01 0.03 0.   0.02 0.   0.02 0.01\n",
            " 0.01 0.02 0.   0.01 0.   0.   0.04 0.   0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.01 0.01 0.01 0.01 0.   0.01 0.01 0.01 0.01\n",
            " 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.02 0.01 0.03 0.01 0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.01]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.12 0.16 0.01 0.02 0.   0.02 0.   0.02 0.01\n",
            " 0.01 0.01 0.   0.01 0.   0.   0.03 0.01 0.01 0.01 0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.02 0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.01 0.01 0.01 0.   0.   0.02 0.01 0.01 0.01\n",
            " 0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.   0.03 0.   0.02 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.12 0.17 0.02 0.03 0.   0.02 0.   0.03 0.01\n",
            " 0.01 0.02 0.   0.02 0.   0.   0.   0.   0.02 0.01 0.   0.   0.01 0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01\n",
            " 0.01 0.   0.01 0.01 0.01 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.01\n",
            " 0.01 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.04 0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.02]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.14 0.14 0.01 0.03 0.   0.02 0.   0.02 0.01\n",
            " 0.01 0.02 0.   0.01 0.   0.   0.04 0.   0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.01 0.01 0.01 0.01 0.   0.01 0.01 0.01 0.01\n",
            " 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.02 0.01 0.03 0.01 0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.09 0.17 0.02 0.03 0.   0.02 0.   0.03 0.01\n",
            " 0.01 0.02 0.   0.02 0.   0.   0.   0.   0.02 0.01 0.   0.   0.01 0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01\n",
            " 0.01 0.   0.01 0.01 0.01 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.01\n",
            " 0.01 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.04 0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.02]\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.01 0.   0.33 0.04 0.02 0.03 0.01 0.01 0.   0.01 0.\n",
            " 0.01 0.01 0.   0.01 0.   0.01 0.05 0.   0.02 0.01 0.   0.   0.01 0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.01 0.01 0.01\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.   0.01 0.01 0.01 0.01 0.01 0.01 0.01\n",
            " 0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.   0.02 0.01 0.01 0.\n",
            " 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.01 0.   0.01 0.01 0.02 0.01]\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.01 0.32 0.04 0.01 0.03 0.   0.02 0.   0.01 0.01\n",
            " 0.01 0.01 0.01 0.01 0.01 0.02 0.05 0.01 0.01 0.01 0.   0.   0.   0.01\n",
            " 0.   0.01 0.01 0.02 0.01 0.   0.   0.01 0.   0.01 0.   0.01 0.02 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.01 0.\n",
            " 0.02 0.   0.   0.   0.01 0.   0.   0.   0.01 0.01 0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.05 0.03]\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.01 0.32 0.07 0.02 0.03 0.01 0.01 0.   0.01 0.\n",
            " 0.01 0.02 0.   0.01 0.01 0.01 0.02 0.   0.01 0.01 0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.01 0.02 0.\n",
            " 0.01 0.   0.02 0.   0.   0.   0.   0.   0.01 0.01 0.01 0.   0.02 0.\n",
            " 0.02 0.   0.01 0.   0.   0.   0.01 0.01 0.01 0.01 0.04 0.01 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.02 0.   0.   0.\n",
            " 0.01 0.   0.   0.02 0.01 0.02]\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.01 0.32 0.04 0.01 0.03 0.   0.02 0.   0.01 0.01\n",
            " 0.01 0.01 0.01 0.01 0.01 0.02 0.05 0.01 0.01 0.01 0.   0.   0.   0.01\n",
            " 0.   0.01 0.01 0.02 0.01 0.   0.   0.01 0.   0.01 0.   0.01 0.02 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.01 0.\n",
            " 0.02 0.   0.   0.   0.01 0.   0.   0.   0.01 0.01 0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.05 0.01 0.03]\n",
            "Features:  ('X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.01 0.32 0.04 0.01 0.03 0.   0.02 0.   0.01 0.01\n",
            " 0.01 0.01 0.01 0.01 0.01 0.02 0.05 0.01 0.01 0.01 0.   0.   0.   0.01\n",
            " 0.   0.01 0.01 0.02 0.01 0.   0.   0.01 0.   0.01 0.   0.01 0.02 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.01 0.\n",
            " 0.02 0.   0.   0.   0.01 0.   0.   0.   0.01 0.01 0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.05 0.01 0.03]\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.23 0.   0.   0.   0.   0.03 0.\n",
            " 0.   0.04 0.   0.   0.   0.02 0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.04 0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.13 0.04 0.36 0.04]\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.23 0.   0.   0.   0.   0.04 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.03 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.02 0.13 0.21 0.16 0.07]\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.21 0.   0.   0.   0.   0.02 0.01\n",
            " 0.02 0.01 0.01 0.   0.   0.01 0.02 0.01 0.03 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.03 0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.02 0.22 0.09 0.1  0.13]\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.23 0.   0.   0.   0.   0.04 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.03 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.02 0.13 0.16 0.21 0.07]\n",
            "Features:  ('X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.23 0.   0.   0.   0.   0.04 0.01\n",
            " 0.   0.02 0.   0.   0.   0.02 0.01 0.01 0.03 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.03 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.01 0.05 0.31 0.06 0.09]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.02 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.04 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.03 0.   0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.09 0.15 0.   0.01 0.\n",
            " 0.01 0.   0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.03 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.07\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.03 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.03 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.01 0.02 0.   0.02 0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.11 0.1  0.01 0.01 0.01\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.02\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.1\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.06 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.02 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.04 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.04 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.1  0.15 0.   0.01 0.\n",
            " 0.01 0.   0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.03 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.05\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.08 0.17 0.02 0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.02 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.05\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.03 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.02 0.02 0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.1  0.1  0.01 0.01 0.01\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.02\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.1\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.06 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.02 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.04 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.1  0.15 0.   0.01 0.\n",
            " 0.01 0.   0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.03 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.05\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.08 0.17 0.02 0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.02 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.14 0.   0.03 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.03 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.02 0.02 0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.07 0.1  0.01 0.01 0.01\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.02\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.11\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.06 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.05 0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.04 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.08 0.2  0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.02 0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.02 0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.06\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.07 0.17 0.02 0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.02 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.06\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.19 0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.04 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.16 0.04 0.01 0.02 0.01\n",
            " 0.   0.   0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.02 0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.02 0.   0.01 0.01 0.   0.   0.02 0.   0.01 0.   0.   0.01 0.01 0.\n",
            " 0.02 0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.01 0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.14 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.02 0.07 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.2  0.05 0.01 0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.01 0.   0.01 0.02 0.   0.   0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.01 0.02 0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.01 0.02 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.01 0.   0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.17 0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.05 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.17 0.05 0.01 0.02 0.01\n",
            " 0.   0.   0.01 0.   0.   0.01 0.01 0.   0.   0.   0.02 0.   0.01 0.01\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.02 0.\n",
            " 0.02 0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.15 0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.04 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.02 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.2  0.04 0.01 0.02 0.01\n",
            " 0.   0.   0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.02 0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.02 0.   0.01 0.01 0.   0.   0.02 0.   0.01 0.   0.   0.01 0.01 0.\n",
            " 0.02 0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.01 0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.17 0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.02 0.   0.01 0.02 0.   0.   0.01 0.\n",
            " 0.01 0.   0.02 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.2  0.07 0.   0.02 0.01\n",
            " 0.   0.   0.02 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.02\n",
            " 0.01 0.   0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.01 0.   0.\n",
            " 0.02 0.   0.01 0.02 0.01 0.   0.02 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.05 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.14 0.05 0.01 0.02 0.01\n",
            " 0.   0.   0.01 0.   0.   0.01 0.01 0.   0.   0.   0.02 0.   0.01 0.01\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.02 0.\n",
            " 0.02 0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.18 0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.06 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.15 0.05 0.01 0.02 0.02\n",
            " 0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.   0.01 0.   0.   0.01 0.02\n",
            " 0.   0.   0.01 0.01 0.   0.   0.02 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.02 0.   0.   0.   0.   0.01 0.   0.01\n",
            " 0.01 0.   0.01 0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.02 0.03 0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.16 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.02 0.07 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.2  0.06 0.01 0.02 0.01\n",
            " 0.   0.   0.   0.   0.   0.02 0.01 0.01 0.   0.01 0.   0.   0.01 0.02\n",
            " 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.01 0.\n",
            " 0.02 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.19 0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.05 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.15 0.05 0.01 0.02 0.01\n",
            " 0.   0.   0.01 0.   0.   0.01 0.01 0.   0.   0.   0.02 0.   0.01 0.01\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.02 0.\n",
            " 0.02 0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.02 0.07 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.16 0.06 0.01 0.02 0.01\n",
            " 0.   0.   0.   0.   0.   0.02 0.01 0.01 0.   0.01 0.   0.   0.01 0.02\n",
            " 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.01 0.\n",
            " 0.02 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.17 0.01 0.05 0.02 0.   0.02 0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.03 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.01 0.02 0.01 0.01 0.   0.04 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.22 0.   0.\n",
            " 0.   0.   0.03 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.   0.   0.   0.   0.02 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.09 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01 0.03]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.14 0.   0.12 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.01 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.02 0.   0.03 0.02 0.08 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.25 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.02 0.01 0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.17 0.01 0.02 0.04 0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.03 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.05 0.07 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.02 0.01 0.   0.01 0.02 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.17 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.04 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02 0.06]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.18 0.01 0.05 0.02 0.   0.02 0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.03 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.02 0.01 0.   0.02 0.   0.04 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.21 0.   0.\n",
            " 0.   0.   0.03 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.   0.   0.   0.   0.02 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.09 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.03 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.18 0.   0.12 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.02 0.03 0.03 0.   0.01 0.07 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.23 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.13 0.02 0.01 0.04 0.01 0.03 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.03 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.05 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.03 0.01 0.   0.   0.04 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.19 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.04 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.02 0.06]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.21 0.02 0.06 0.03 0.01 0.01 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.02 0.01 0.   0.01 0.01 0.01 0.   0.\n",
            " 0.01 0.02 0.03 0.   0.   0.02 0.02 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.18 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.11 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01 0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.21 0.   0.12 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.04 0.04 0.   0.   0.07 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.19 0.01 0.02 0.04 0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.03 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.05 0.07 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.02 0.01 0.02 0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.15 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.04 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.   0.06]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.19 0.   0.12 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.02 0.03 0.03 0.   0.   0.08 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.22 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.01 0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.34 0.   0.02 0.02 0.01 0.02 0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.07 0.06 0.   0.01 0.02 0.   0.   0.   0.\n",
            " 0.01 0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.07 0.02 0.08 0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.35 0.   0.02 0.03 0.01 0.   0.01\n",
            " 0.   0.   0.   0.01 0.   0.02 0.01 0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.09 0.04 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.02 0.03 0.04]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.33 0.   0.02 0.02 0.01 0.   0.01\n",
            " 0.   0.01 0.   0.01 0.   0.01 0.   0.01 0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.01 0.01 0.   0.01\n",
            " 0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.06 0.03 0.   0.01 0.01 0.01 0.   0.   0.01\n",
            " 0.01 0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.02 0.02 0.01 0.1 ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.33 0.   0.02 0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.01 0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.01\n",
            " 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.06 0.05 0.   0.01 0.02 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.08 0.03 0.03]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.35 0.   0.02 0.03 0.01 0.   0.01\n",
            " 0.   0.   0.   0.01 0.   0.02 0.01 0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.09 0.04 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.01 0.   0.03 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.03 0.01 0.04]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.06 0.16 0.01 0.03 0.   0.01 0.\n",
            " 0.02 0.   0.01 0.01 0.01 0.01 0.   0.   0.04 0.   0.02 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.02 0.   0.   0.   0.   0.01 0.   0.01\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.   0.   0.01 0.   0.01 0.01 0.03 0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.06 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.09 0.13 0.02 0.02 0.   0.02 0.\n",
            " 0.02 0.01 0.   0.02 0.   0.01 0.   0.   0.01 0.   0.01 0.01 0.   0.\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.01 0.01 0.   0.01 0.   0.03 0.01 0.01 0.01 0.   0.   0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.   0.   0.01 0.01 0.01 0.01 0.03 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.02 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.06 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.06 0.13 0.02 0.03 0.01 0.02 0.\n",
            " 0.02 0.01 0.   0.02 0.   0.01 0.   0.   0.   0.   0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.02 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.03 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.04 0.16 0.01 0.03 0.   0.01 0.\n",
            " 0.02 0.   0.01 0.01 0.01 0.01 0.   0.   0.04 0.   0.02 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.02 0.   0.   0.   0.   0.01 0.   0.01\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.   0.   0.01 0.   0.01 0.01 0.03 0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.1  0.13 0.03 0.02 0.01 0.02 0.\n",
            " 0.02 0.   0.   0.02 0.   0.01 0.   0.   0.02 0.01 0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.01\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.   0.   0.01 0.01 0.01 0.01 0.03 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.06 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.02 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.04 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.1  0.13 0.02 0.03 0.01 0.02 0.\n",
            " 0.02 0.01 0.   0.02 0.   0.01 0.   0.   0.   0.   0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.02 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.03 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.04 0.23 0.02 0.02 0.   0.02 0.\n",
            " 0.02 0.01 0.01 0.01 0.01 0.02 0.   0.   0.03 0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.02 0.   0.01 0.01 0.01 0.01 0.   0.01 0.   0.\n",
            " 0.01 0.02 0.02 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.04 0.\n",
            " 0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.03 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.01 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.06 0.12 0.01 0.02 0.   0.02 0.\n",
            " 0.02 0.   0.01 0.02 0.   0.01 0.   0.01 0.02 0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.01 0.   0.   0.01 0.02 0.   0.   0.   0.   0.01 0.01 0.01 0.   0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.03 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.02 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.05 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.08 0.13 0.02 0.03 0.01 0.02 0.\n",
            " 0.02 0.01 0.   0.02 0.   0.01 0.   0.   0.   0.   0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.02 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.03 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.01 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.1  0.12 0.01 0.02 0.   0.02 0.\n",
            " 0.02 0.   0.01 0.02 0.   0.01 0.   0.01 0.02 0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.01 0.   0.   0.01 0.02 0.   0.   0.   0.   0.01 0.01 0.01 0.   0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.03 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.02 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.16 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.15 0.04 0.02 0.03 0.01 0.01 0.\n",
            " 0.01 0.   0.01 0.01 0.01 0.01 0.01 0.01 0.04 0.01 0.01 0.01 0.02 0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.01 0.01 0.   0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.02 0.03 0.  ]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.14 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.18 0.05 0.02 0.02 0.01 0.02 0.\n",
            " 0.01 0.   0.   0.01 0.01 0.01 0.01 0.01 0.04 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.02 0.01 0.   0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.02 0.02 0.04]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.21 0.03 0.01 0.03 0.01 0.01 0.\n",
            " 0.02 0.   0.01 0.01 0.   0.01 0.   0.01 0.04 0.   0.01 0.02 0.02 0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.02 0.01 0.01 0.   0.02 0.   0.01 0.01 0.01 0.01 0.01 0.01 0.   0.\n",
            " 0.   0.01 0.01 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.15 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.17 0.05 0.02 0.02 0.01 0.02 0.\n",
            " 0.01 0.   0.   0.01 0.01 0.01 0.01 0.01 0.04 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.02 0.01 0.   0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.02 0.02 0.04]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.15 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.17 0.05 0.02 0.02 0.01 0.02 0.\n",
            " 0.01 0.   0.   0.01 0.01 0.01 0.01 0.01 0.04 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.02 0.01 0.   0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.01 0.02 0.01 0.04]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.09 0.02 0.01 0.03 0.01 0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.18 0.1  0.15 0.07]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.09 0.01 0.01 0.01 0.01 0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.01 0.01 0.01 0.02 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.   0.   0.\n",
            " 0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.01 0.14 0.09 0.15 0.13]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.12 0.01 0.01 0.01 0.01 0.01 0.\n",
            " 0.   0.01 0.   0.01 0.01 0.02 0.01 0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.16 0.1  0.06 0.14]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.1  0.01 0.01 0.01 0.01 0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.01 0.01 0.01 0.02 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.   0.   0.\n",
            " 0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.01 0.14 0.15 0.09 0.13]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.09 0.01 0.01 0.01 0.02 0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.13 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.   0.01 0.01 0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.02 0.03 0.28 0.04 0.15]\n",
            "Features:  ('X2_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.27 0.   0.01 0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.01 0.01 0.   0.   0.   0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.01 0.   0.01 0.01 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.1  0.13 0.03 0.09]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.07 0.19 0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.02 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.13 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.02]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.01 0.   0.02 0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.01 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.11 0.1  0.   0.01 0.01 0.01 0.\n",
            " 0.03 0.   0.   0.02 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.   0.   0.01 0.   0.01 0.01 0.   0.01 0.   0.01 0.01 0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.   0.01 0.\n",
            " 0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.21 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.02\n",
            " 0.01 0.   0.02 0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.2  0.09 0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.17 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.07 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.09 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.08 0.19 0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.02 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.02\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.15 0.15 0.02 0.01 0.01 0.01 0.01\n",
            " 0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.02 0.01 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.03 0.   0.   0.01 0.   0.   0.01 0.   0.01 0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.01\n",
            " 0.02 0.01 0.04 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.15 0.09 0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.22 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.07 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.09 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.09 0.19 0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.02 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.03 0.01 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.17 0.12 0.01 0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.13 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.03 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.03 0.   0.02 0.   0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.17 0.09 0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.07 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.09 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.02\n",
            " 0.02 0.01 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.18 0.12 0.01 0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.03 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.02 0.05 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.01 0.35 0.05 0.01 0.02 0.01 0.01 0.\n",
            " 0.01 0.   0.   0.02 0.   0.   0.   0.01 0.   0.   0.01 0.02 0.   0.\n",
            " 0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.02 0.  ]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.04 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.02 0.01 0.37 0.06 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.   0.01 0.02 0.01 0.   0.   0.01 0.   0.01 0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.   0.   0.01 0.01 0.01 0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.03 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.02 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.02 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.34 0.08 0.01 0.02 0.01 0.   0.\n",
            " 0.   0.01 0.01 0.01 0.02 0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.01 0.01 0.   0.   0.02 0.   0.01 0.   0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.01 0.   0.   0.02 0.\n",
            " 0.01 0.02 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.04 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.02 0.37 0.06 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.   0.01 0.02 0.01 0.   0.   0.01 0.   0.01 0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.   0.   0.01 0.01 0.01 0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.03 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.02 0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.04 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.02 0.37 0.06 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.   0.01 0.02 0.01 0.   0.   0.01 0.   0.01 0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.   0.   0.01 0.01 0.01 0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.03 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.02 0.   0.01]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.01 0.   0.05 0.04 0.   0.   0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.04 0.   0.02 0.01 0.02 0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.4  0.   0.   0.   0.\n",
            " 0.05 0.01 0.   0.06 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.01 0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.08 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.02 0.01 0.02 0.  ]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.02 0.02 0.   0.01 0.   0.   0.   0.   0.   0.01 0.03\n",
            " 0.01 0.01 0.02 0.   0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.38 0.   0.   0.   0.\n",
            " 0.04 0.01 0.01 0.09 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.11 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.03 0.03 0.02]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.03 0.01 0.04 0.07 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.02 0.01 0.02 0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.35 0.   0.   0.   0.\n",
            " 0.04 0.01 0.01 0.07 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.03 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.01 0.\n",
            " 0.1  0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.02 0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.02 0.01 0.01 0.02 0.05 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.38 0.   0.   0.   0.\n",
            " 0.04 0.01 0.01 0.09 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.11 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.03 0.03 0.02]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.02 0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.02 0.04 0.02 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.38 0.   0.   0.   0.\n",
            " 0.04 0.01 0.01 0.09 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.11 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.03 0.03 0.01 0.02]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.1  0.16 0.01 0.02 0.   0.02 0.   0.02 0.01\n",
            " 0.01 0.01 0.   0.01 0.   0.   0.03 0.01 0.01 0.01 0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.01 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.02 0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.01 0.01 0.01 0.   0.   0.02 0.01 0.01 0.01\n",
            " 0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.   0.03 0.   0.02 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.14 0.17 0.02 0.03 0.   0.02 0.   0.03 0.01\n",
            " 0.01 0.02 0.   0.02 0.   0.   0.   0.   0.02 0.01 0.   0.   0.01 0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01\n",
            " 0.01 0.   0.01 0.01 0.01 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.01\n",
            " 0.01 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.04 0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.02]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.12 0.14 0.01 0.03 0.   0.02 0.   0.02 0.01\n",
            " 0.01 0.02 0.   0.01 0.   0.   0.04 0.   0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.01 0.01 0.01 0.01 0.   0.01 0.01 0.01 0.01\n",
            " 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.02 0.01 0.03 0.01 0.01 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.11 0.17 0.02 0.03 0.   0.02 0.   0.03 0.01\n",
            " 0.01 0.02 0.   0.02 0.   0.   0.   0.   0.02 0.01 0.   0.   0.01 0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01\n",
            " 0.01 0.   0.01 0.01 0.01 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.01\n",
            " 0.01 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.04 0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.02]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.1  0.17 0.02 0.03 0.   0.02 0.   0.03 0.01\n",
            " 0.01 0.02 0.   0.02 0.   0.   0.   0.   0.02 0.01 0.   0.   0.01 0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01\n",
            " 0.01 0.   0.01 0.01 0.01 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.01\n",
            " 0.01 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.04 0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.02]\n",
            "Features:  ('X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.01 0.   0.32 0.04 0.01 0.03 0.   0.02 0.   0.01 0.01\n",
            " 0.01 0.01 0.01 0.01 0.01 0.02 0.05 0.01 0.01 0.01 0.   0.   0.   0.01\n",
            " 0.   0.01 0.01 0.02 0.01 0.   0.   0.01 0.   0.01 0.   0.01 0.02 0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.01 0.01 0.01 0.\n",
            " 0.02 0.   0.   0.   0.01 0.   0.   0.   0.01 0.01 0.02 0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.05 0.01 0.03]\n",
            "Features:  ('X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.23 0.   0.   0.   0.   0.04 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.03 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.02 0.13 0.11 0.16 0.1  0.07]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.03 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.03 0.01 0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.11 0.1  0.01 0.01 0.01\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.02\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.12\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.06 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.02 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.04 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.01 0.04 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.09 0.15 0.   0.01 0.\n",
            " 0.01 0.   0.01 0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.03 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.08\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.04 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.03 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.09 0.17 0.02 0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.02 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.04\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.16 0.   0.03 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.02 0.02 0.01 0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.08 0.1  0.01 0.01 0.01\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.02\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.08\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.06 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.04 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.06 0.2  0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.02 0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.02 0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.03 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.09 0.17 0.02 0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.02 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.06\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.17 0.   0.03 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.03 0.01 0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.06 0.1  0.01 0.01 0.01\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.02\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.09\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.06 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.04 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.07 0.2  0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.02 0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.02 0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.03 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.08 0.17 0.02 0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.02 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.04 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.08 0.2  0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.02 0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.02 0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.04\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.04 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.02 0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.15 0.04 0.01 0.02 0.01\n",
            " 0.   0.   0.01 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.02 0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.02 0.   0.01 0.01 0.   0.   0.02 0.   0.01 0.   0.   0.01 0.01 0.\n",
            " 0.02 0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.01 0.01 0.02 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.02 0.07 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.16 0.06 0.01 0.02 0.01\n",
            " 0.   0.   0.   0.   0.   0.02 0.01 0.01 0.   0.01 0.   0.   0.01 0.02\n",
            " 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.01 0.\n",
            " 0.02 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.13 0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.05 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.21 0.05 0.01 0.02 0.01\n",
            " 0.   0.   0.01 0.   0.   0.01 0.01 0.   0.   0.   0.02 0.   0.01 0.01\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.01 0.01 0.   0.   0.01 0.   0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.   0.02 0.\n",
            " 0.02 0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.19 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.02 0.07 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.17 0.06 0.01 0.02 0.01\n",
            " 0.   0.   0.   0.   0.   0.02 0.01 0.01 0.   0.01 0.   0.   0.01 0.02\n",
            " 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.01 0.\n",
            " 0.02 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.16 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.02 0.07 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.2  0.06 0.01 0.02 0.01\n",
            " 0.   0.   0.   0.   0.   0.02 0.01 0.01 0.   0.01 0.   0.   0.01 0.02\n",
            " 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.01 0.\n",
            " 0.02 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.2  0.01 0.05 0.02 0.   0.02 0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.03 0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.01 0.02 0.02 0.   0.02 0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.19 0.   0.\n",
            " 0.   0.   0.03 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.   0.   0.   0.   0.02 0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.09 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01 0.03 0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.24 0.   0.12 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.03 0.03 0.03 0.   0.01 0.06 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.17 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.22 0.01 0.02 0.04 0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.03 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.05 0.07 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.02 0.01 0.01 0.02 0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.12 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.04 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.06]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.12 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.05 0.03 0.02 0.   0.06 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.21 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.26 0.   0.12 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.03 0.02 0.03 0.02 0.   0.07 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.15 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.35 0.   0.02 0.03 0.01 0.   0.01\n",
            " 0.   0.   0.   0.01 0.   0.02 0.01 0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.09 0.04 0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.02 0.03 0.   0.04]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.05 0.16 0.01 0.03 0.   0.01 0.\n",
            " 0.02 0.   0.01 0.01 0.01 0.01 0.   0.   0.04 0.   0.02 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.02 0.   0.   0.   0.   0.01 0.   0.01\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.   0.   0.01 0.   0.01 0.01 0.03 0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.04 0.14 0.02 0.03 0.01 0.02 0.\n",
            " 0.02 0.01 0.   0.01 0.01 0.01 0.   0.01 0.06 0.   0.03 0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.   0.   0.   0.   0.01 0.01 0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.01 0.01 0.03 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.04 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.12 0.13 0.02 0.03 0.01 0.02 0.\n",
            " 0.02 0.01 0.   0.02 0.   0.01 0.   0.   0.   0.   0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.02 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.03 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.08 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.06 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.07 0.14 0.02 0.03 0.01 0.02 0.\n",
            " 0.02 0.01 0.   0.01 0.01 0.01 0.   0.01 0.06 0.   0.03 0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.   0.   0.   0.   0.01 0.01 0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.06 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.01 0.03 0.01 0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.01 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.09 0.12 0.01 0.02 0.   0.02 0.\n",
            " 0.02 0.   0.01 0.02 0.   0.01 0.   0.01 0.02 0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.01\n",
            " 0.01 0.   0.   0.01 0.02 0.   0.   0.   0.   0.01 0.01 0.01 0.   0.01\n",
            " 0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.03 0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.02 0.   0.02]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.11 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.21 0.05 0.02 0.02 0.01 0.02 0.\n",
            " 0.01 0.   0.   0.01 0.01 0.01 0.01 0.01 0.04 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01\n",
            " 0.02 0.01 0.   0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.01 0.02 0.   0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.02 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.02 0.02 0.04]\n",
            "Features:  ('X2_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.12 0.01 0.01 0.01 0.01 0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.01 0.01 0.01 0.02 0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.   0.   0.\n",
            " 0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.01 0.01 0.14 0.05 0.15 0.04 0.13]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.1  0.19 0.   0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.02 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.01 0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.1  0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.02 0.\n",
            " 0.02 0.01 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.14 0.12 0.01 0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.16 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.03 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.02 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.05 0.01 0.01 0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.22 0.09 0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.02 0.   0.   0.02 0.   0.   0.   0.   0.   0.01 0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.15 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.07 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.09 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.02 0.\n",
            " 0.02 0.01 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.15 0.12 0.01 0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.15 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.03 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.03 0.\n",
            " 0.01 0.01 0.01 0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.14 0.12 0.01 0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.16 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.03 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.01 0.   0.04 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.02 0.37 0.06 0.01 0.02 0.01 0.   0.\n",
            " 0.01 0.   0.01 0.02 0.01 0.   0.   0.01 0.   0.01 0.01 0.01 0.02 0.\n",
            " 0.   0.01 0.   0.   0.01 0.01 0.01 0.01 0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.03 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.02 0.   0.01]\n",
            "Features:  ('X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.02 0.02 0.   0.01 0.01 0.   0.   0.   0.   0.   0.01\n",
            " 0.02 0.   0.03 0.   0.05 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.38 0.   0.   0.   0.\n",
            " 0.04 0.01 0.01 0.09 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.11 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.01 0.02 0.03 0.01 0.02]\n",
            "Features:  ('X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.12 0.17 0.02 0.03 0.   0.02 0.   0.03 0.01\n",
            " 0.01 0.02 0.   0.02 0.   0.   0.   0.   0.02 0.01 0.   0.   0.01 0.01\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01\n",
            " 0.01 0.   0.01 0.01 0.01 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.01\n",
            " 0.01 0.   0.01 0.   0.01 0.   0.   0.01 0.01 0.01 0.04 0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.01 0.01 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.13 0.   0.03 0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.01 0.03 0.01 0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.1  0.1  0.01 0.01 0.01\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.02\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.01 0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.09\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.02 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.06 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.  ]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.04 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.05 0.2  0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.02 0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.02 0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.03 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.02 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.06 0.17 0.02 0.01 0.\n",
            " 0.01 0.   0.01 0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.   0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.   0.   0.01 0.   0.01 0.   0.01 0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.01 0.   0.   0.02 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.08\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.02 0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.04 0.01 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.05 0.2  0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.02 0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.02 0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.09 0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.04 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.05 0.2  0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.02 0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.02 0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.05\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.02]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.21 0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.02 0.07 0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.01 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.15 0.06 0.01 0.02 0.01\n",
            " 0.   0.   0.   0.   0.   0.02 0.01 0.01 0.   0.01 0.   0.   0.01 0.02\n",
            " 0.   0.   0.   0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.02 0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.01 0.\n",
            " 0.02 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.02 0.   0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.2  0.   0.12 0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.01 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.02 0.02 0.01 0.05 0.   0.   0.07 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.21 0.   0.\n",
            " 0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.14 0.01 0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.01]\n",
            "Features:  ('X2_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.04 0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.08 0.14 0.02 0.03 0.01 0.02 0.\n",
            " 0.02 0.01 0.   0.01 0.01 0.01 0.   0.01 0.06 0.   0.03 0.   0.   0.\n",
            " 0.01 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.   0.   0.   0.01\n",
            " 0.01 0.   0.   0.01 0.01 0.01 0.   0.   0.   0.01 0.   0.   0.   0.01\n",
            " 0.01 0.01 0.02 0.   0.01 0.   0.   0.   0.   0.   0.01 0.01 0.02 0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.07 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.01 0.01 0.03 0.   0.02]\n",
            "Features:  ('X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.01 0.03 0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.01 0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.01 0.   0.   0.   0.   0.   0.16 0.12 0.01 0.01 0.01 0.01 0.\n",
            " 0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.   0.   0.01 0.01 0.01 0.\n",
            " 0.   0.01 0.01 0.   0.01 0.   0.02 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.01 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.01 0.   0.01 0.01\n",
            " 0.01 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.14 0.   0.\n",
            " 0.   0.   0.01 0.   0.   0.03 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.   0.   0.03 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.01 0.01 0.01]\n",
            "Features:  ('X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4', 'X_CAT3', 'X_CAT5')\n",
            "Importances:  [0.   0.   0.   0.   0.   0.   0.   0.06 0.   0.01 0.   0.   0.02 0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.01 0.   0.   0.   0.01 0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.02 0.02 0.   0.01 0.   0.   0.   0.   0.\n",
            " 0.   0.   0.05 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.09 0.2  0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.01 0.01 0.01 0.   0.   0.02 0.   0.01 0.\n",
            " 0.   0.   0.   0.01 0.   0.   0.   0.   0.02 0.   0.   0.   0.01 0.01\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.01 0.   0.\n",
            " 0.   0.   0.   0.02 0.01 0.   0.01 0.   0.   0.   0.   0.   0.01 0.\n",
            " 0.02 0.   0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.01 0.01 0.   0.   0.01 0.01 0.   0.   0.   0.   0.   0.\n",
            " 0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.04\n",
            " 0.   0.   0.   0.   0.02 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.01 0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.\n",
            " 0.   0.   0.   0.   0.   0.   0.   0.   0.   0.   0.02 0.   0.02]\n"
          ]
        }
      ],
      "source": [
        "from sklearn.ensemble import AdaBoostClassifier\n",
        "from sklearn.metrics import accuracy_score\n",
        "from itertools import combinations\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.model_selection import train_test_split\n",
        "import numpy as np\n",
        "\n",
        "# 피처 목록\n",
        "features = [X2_all, X1_all, X_bursts_all, X_cumsum_all, X_CAT1, X_CAT2, X_CAT4,X_CAT3,X_CAT5]\n",
        "feature_names = ['X2_all', 'X1_all', 'X_bursts_all', 'X_cumsum_all', 'X_CAT1', 'X_CAT2', 'X_CAT4','X_CAT3','X_CAT5']\n",
        "\n",
        "# 결과를 저장할 딕셔너리\n",
        "results = {}\n",
        "high_acc_models = {}  # 정확도가 0.99 이상인 모델을 저장할 딕셔너리\n",
        "\n",
        "# 레이블 재할당\n",
        "y = [1]*len(X1_mon) + [-1]*len(X1_unmon)\n",
        "\n",
        "# 가능한 모든 조합에 대해\n",
        "for r in range(1, len(features) + 1):\n",
        "    for subset_indices in combinations(range(len(features)), r):\n",
        "        subset = [features[i] for i in subset_indices]\n",
        "        subset_names = [feature_names[i] for i in subset_indices]\n",
        "\n",
        "        # 피처를 합칩니다\n",
        "        X = np.concatenate([np.array(feature) for feature in subset], axis=1)\n",
        "        X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "\n",
        "        # 모델 초기화\n",
        "        clf = AdaBoostClassifier(n_estimators=100,random_state=42)\n",
        "\n",
        "        # 모델 학습\n",
        "        clf.fit(X_train, y_train)\n",
        "\n",
        "        # 예측\n",
        "        y_pred = clf.predict(X_test)\n",
        "\n",
        "        # 성능 평가\n",
        "        accuracy = accuracy_score(y_test, y_pred)\n",
        "\n",
        "        # 결과 저장\n",
        "        results[tuple(subset_names)] = accuracy\n",
        "\n",
        "        # 정확도가 0.99 이상인 경우에만 모델 저장\n",
        "        if accuracy >= 0.98:\n",
        "            high_acc_models[tuple(subset_names)] = clf\n",
        "\n",
        "# 결과 출력\n",
        "for subset, accuracy in results.items():\n",
        "    print(\"Features: \", subset)\n",
        "    print(\"Accuracy: {:.3f}\".format(accuracy))\n",
        "\n",
        "\n",
        "# 정확도가 0.99 이상인 모델의 피처 중요도 출력\n",
        "for subset, model in high_acc_models.items():\n",
        "    importances = model.feature_importances_\n",
        "    print(\"Features: \", subset)\n",
        "    print(\"Importances: \", importances)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8XBNtQOv29Bb",
        "outputId": "eec06484-aa11-493a-96f2-4655b4f6c44c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Feature:  X2_all\n",
            "Importance:  0.13999999999999999\n",
            "Feature:  X1_all\n",
            "Importance:  0.13\n",
            "Feature:  X_bursts_all\n",
            "Importance:  0.62\n",
            "Feature:  X_cumsum_all\n",
            "Importance:  0.07\n",
            "Feature:  X_CAT1\n",
            "Importance:  0.0\n",
            "Feature:  X_CAT2\n",
            "Importance:  0.0\n",
            "Feature:  X_CAT4\n",
            "Importance:  0.02\n",
            "Feature:  X_CAT3\n",
            "Importance:  0.0\n",
            "Feature:  X_CAT5\n",
            "Importance:  0.02\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "\n",
        "# 각 메인 피처를 넘파이 배열로 변환합니다\n",
        "features = [np.array(feature) for feature in features]\n",
        "\n",
        "# 각 메인 피처의 크기를 계산합니다\n",
        "feature_sizes = [feature.shape[1] for feature in features]\n",
        "\n",
        "# 각 메인 피처의 시작 인덱스를 계산합니다\n",
        "feature_start_indices = np.cumsum([0] + feature_sizes[:-1])\n",
        "\n",
        "# 각 메인 피처의 중요도를 계산합니다\n",
        "feature_importances = [np.sum(importances[start_index:start_index+size])\n",
        "                       for start_index, size in zip(feature_start_indices, feature_sizes)]\n",
        "\n",
        "# 각 메인 피처의 중요도를 출력합니다\n",
        "for feature_name, importance in zip(feature_names, feature_importances):\n",
        "    print(\"Feature: \", feature_name)\n",
        "    print(\"Importance: \", importance)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VGDr289r3q_u",
        "outputId": "a877e164-cd1b-4cb9-d27b-af4bdd419360"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Sum of importances:  1.0\n"
          ]
        }
      ],
      "source": [
        "# 중요도의 합을 계산합니다\n",
        "importance_sum = np.sum(feature_importances)\n",
        "\n",
        "print(\"Sum of importances: \", importance_sum)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 553
        },
        "id": "4GXdekED3pk1",
        "outputId": "225e8838-a809-4dd5-9a80-efa9b5a1f008"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# 피처 중요도를 바 플롯으로 그립니다\n",
        "plt.figure(figsize=(10,5))\n",
        "plt.title(\"Feature Importance\")\n",
        "plt.bar(feature_names, feature_importances)\n",
        "plt.xticks(rotation='vertical')\n",
        "plt.show()\n"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNf2krioF9AYpOrMXDVnkUS",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}