mineriaModelosPCATunning.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "from sklearn.exceptions import ConvergenceWarning\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "warnings.simplefilter(action='ignore', category=ConvergenceWarning)\n",
    "\n",
    "import pandas\n",
    "import csv\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#preprocesamiento\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.model_selection import RepeatedStratifiedKFold\n",
    "\n",
    "from numpy import mean\n",
    "from numpy import std\n",
    "import numpy as np\n",
    "seed = 7\n",
    "np.random.seed(seed)\n",
    "\n",
    "# modelos\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.ensemble import BaggingClassifier\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "from sklearn.ensemble import StackingClassifier\n",
    "\n",
    "#guardar modelos\n",
    "from sklearn.externals import joblib\n",
    "\n",
    "#evaluacion\n",
    "from sklearn.metrics import *\n",
    "path = \"dataRegularizada/\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Una vez preprocesado el dataset se debe ejecutar Training_Test_Data.py para crear 10 datasets para entrenamientos y test de cada modelo."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Carga de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_folds  = []\n",
    "test_folds = []\n",
    "for i in range(10):\n",
    "    train = pandas.read_csv(path + \"train_\"+ str(i) + \".csv\", decimal=\".\")\n",
    "    col_mask=train.isnull().any(axis=0) \n",
    "    row_mask=train.isnull().any(axis=1)\n",
    "    train_folds.append(train.loc[-row_mask,-col_mask])\n",
    "    test = pandas.read_csv(path + \"test_\"+ str(i) + \".csv\", decimal=\".\")\n",
    "    col_mask=test.isnull().any(axis=0) \n",
    "    row_mask=test.isnull().any(axis=1)\n",
    "    test_folds.append(test.loc[-row_mask,-col_mask])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "scaler = StandardScaler()# Fit on training set only.\n",
    "train_x = scaler.fit_transform(train_folds[0].drop(columns=[\"hospital_death\"]))\n",
    "pca = PCA()\n",
    "train_XX = pca.fit_transform(train_x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([8.90838550e-02, 4.73771688e-02, 3.96853284e-02, 3.32148441e-02,\n",
       "       3.10227622e-02, 2.68910478e-02, 2.47573191e-02, 2.28419213e-02,\n",
       "       2.18880573e-02, 1.99563467e-02, 1.85378599e-02, 1.74435355e-02,\n",
       "       1.65703953e-02, 1.58080544e-02, 1.56515189e-02, 1.51927043e-02,\n",
       "       1.40027084e-02, 1.36657737e-02, 1.31459245e-02, 1.30020251e-02,\n",
       "       1.25345845e-02, 1.19531540e-02, 1.18575710e-02, 1.14886120e-02,\n",
       "       1.12821670e-02, 1.10625199e-02, 1.06799220e-02, 1.06032356e-02,\n",
       "       1.02839806e-02, 1.01002110e-02, 9.79993141e-03, 9.03591413e-03,\n",
       "       8.94872637e-03, 8.61131250e-03, 8.50897038e-03, 8.35645304e-03,\n",
       "       8.11049408e-03, 7.92903363e-03, 7.86557559e-03, 7.57126201e-03,\n",
       "       7.40541845e-03, 7.26181691e-03, 7.03970155e-03, 6.83566786e-03,\n",
       "       6.73505022e-03, 6.66593136e-03, 6.46626486e-03, 6.39283600e-03,\n",
       "       6.34217704e-03, 6.28247713e-03, 6.19592418e-03, 6.16232659e-03,\n",
       "       6.13331877e-03, 6.09939431e-03, 6.09658288e-03, 6.07837721e-03,\n",
       "       6.03404147e-03, 5.99881815e-03, 5.96450058e-03, 5.90957365e-03,\n",
       "       5.89593723e-03, 5.82598006e-03, 5.71017034e-03, 5.68924865e-03,\n",
       "       5.55789219e-03, 5.40996738e-03, 5.24324836e-03, 5.18384134e-03,\n",
       "       4.96208076e-03, 4.75943385e-03, 4.61647969e-03, 4.59964207e-03,\n",
       "       4.47812708e-03, 4.24133733e-03, 4.17229595e-03, 4.14938593e-03,\n",
       "       4.04512979e-03, 3.89003153e-03, 3.59201379e-03, 3.49831082e-03,\n",
       "       3.47070822e-03, 3.44220287e-03, 3.40145413e-03, 3.24470403e-03,\n",
       "       2.92431090e-03, 2.89519456e-03, 2.81622499e-03, 2.63198297e-03,\n",
       "       2.58352472e-03, 2.45058519e-03, 2.38242827e-03, 2.22136011e-03,\n",
       "       2.17017593e-03, 2.15149895e-03, 2.08798111e-03, 2.04336048e-03,\n",
       "       1.98075160e-03, 1.81779498e-03, 1.63350568e-03, 1.56203611e-03,\n",
       "       1.54739214e-03, 1.29433259e-03, 1.16425365e-03, 1.11735238e-03,\n",
       "       1.07346527e-03, 9.24367482e-04, 9.04444315e-04, 8.93750677e-04,\n",
       "       8.55129885e-04, 8.09482371e-04, 7.44810069e-04, 7.25309151e-04,\n",
       "       7.01898775e-04, 6.48006844e-04, 6.39152939e-04, 6.13937708e-04,\n",
       "       5.61820705e-04, 5.56698426e-04, 5.52498310e-04, 5.22069309e-04,\n",
       "       4.91245892e-04, 4.33690143e-04, 3.47803381e-04, 3.11821136e-04,\n",
       "       2.16358771e-04, 1.94612765e-04, 1.90896552e-04, 1.57253095e-04,\n",
       "       1.33383151e-04, 1.31463038e-04, 1.21054525e-04, 1.07392415e-04,\n",
       "       9.53144993e-05, 8.69465831e-05, 5.74490699e-05, 5.43261335e-05,\n",
       "       4.07173370e-05, 3.61534960e-05, 3.25200352e-05, 2.96387861e-05,\n",
       "       1.48832189e-05, 9.58249549e-06, 6.81491742e-32, 1.22900972e-32,\n",
       "       7.02423365e-33, 5.55374966e-33, 3.26607794e-33, 2.98475763e-33,\n",
       "       2.46592304e-33, 2.07222394e-33, 1.89621612e-33, 1.42493011e-33,\n",
       "       1.38943051e-33, 1.29840402e-33, 1.11164932e-33, 9.32360468e-34,\n",
       "       9.10897087e-34, 6.66011116e-34, 6.10461204e-34, 6.05801436e-34,\n",
       "       3.27628542e-34, 2.68927565e-34, 8.07428301e-35, 2.47193252e-35])"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca.explained_variance_ratio_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-133.425467</td>\n",
       "      <td>416.729841</td>\n",
       "      <td>214.172404</td>\n",
       "      <td>76.781853</td>\n",
       "      <td>190.304880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-55.128765</td>\n",
       "      <td>378.932372</td>\n",
       "      <td>196.200346</td>\n",
       "      <td>125.988619</td>\n",
       "      <td>-127.472633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>149.936581</td>\n",
       "      <td>416.423310</td>\n",
       "      <td>102.112823</td>\n",
       "      <td>-67.751090</td>\n",
       "      <td>-44.491560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>46.582450</td>\n",
       "      <td>417.997994</td>\n",
       "      <td>-35.820739</td>\n",
       "      <td>144.959881</td>\n",
       "      <td>-67.643310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>853.368060</td>\n",
       "      <td>412.614716</td>\n",
       "      <td>21.949534</td>\n",
       "      <td>-129.034877</td>\n",
       "      <td>8.641655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-330.798884</td>\n",
       "      <td>424.140374</td>\n",
       "      <td>41.119212</td>\n",
       "      <td>66.588264</td>\n",
       "      <td>45.032284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-133.769249</td>\n",
       "      <td>418.740881</td>\n",
       "      <td>101.852264</td>\n",
       "      <td>383.259601</td>\n",
       "      <td>56.119050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-52.105986</td>\n",
       "      <td>417.452705</td>\n",
       "      <td>-45.212036</td>\n",
       "      <td>11.724102</td>\n",
       "      <td>-50.618332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>163.912747</td>\n",
       "      <td>425.815492</td>\n",
       "      <td>92.869646</td>\n",
       "      <td>142.535378</td>\n",
       "      <td>12.854047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-52.735063</td>\n",
       "      <td>396.333527</td>\n",
       "      <td>-34.471108</td>\n",
       "      <td>102.953351</td>\n",
       "      <td>-136.699888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>144.931409</td>\n",
       "      <td>411.139010</td>\n",
       "      <td>111.383244</td>\n",
       "      <td>430.284939</td>\n",
       "      <td>-118.522700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-136.987997</td>\n",
       "      <td>422.607488</td>\n",
       "      <td>-45.599533</td>\n",
       "      <td>-42.581543</td>\n",
       "      <td>169.934956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-53.077651</td>\n",
       "      <td>383.218840</td>\n",
       "      <td>-3.079556</td>\n",
       "      <td>77.739411</td>\n",
       "      <td>-116.545969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-51.896181</td>\n",
       "      <td>411.036611</td>\n",
       "      <td>-87.727891</td>\n",
       "      <td>-71.448131</td>\n",
       "      <td>-15.356635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-138.580950</td>\n",
       "      <td>421.733291</td>\n",
       "      <td>-63.705928</td>\n",
       "      <td>46.290894</td>\n",
       "      <td>163.043618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-49.712442</td>\n",
       "      <td>423.796286</td>\n",
       "      <td>363.943220</td>\n",
       "      <td>-241.403705</td>\n",
       "      <td>-123.467431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-353.070099</td>\n",
       "      <td>421.785091</td>\n",
       "      <td>-47.827390</td>\n",
       "      <td>27.083639</td>\n",
       "      <td>-10.617091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>869.456158</td>\n",
       "      <td>423.260681</td>\n",
       "      <td>-146.743453</td>\n",
       "      <td>-37.443886</td>\n",
       "      <td>53.743956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-52.456661</td>\n",
       "      <td>410.771005</td>\n",
       "      <td>-66.407132</td>\n",
       "      <td>17.927230</td>\n",
       "      <td>-60.757302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-57.084840</td>\n",
       "      <td>426.325819</td>\n",
       "      <td>86.297548</td>\n",
       "      <td>187.988026</td>\n",
       "      <td>25.581728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>48.677869</td>\n",
       "      <td>419.611336</td>\n",
       "      <td>-88.984609</td>\n",
       "      <td>37.019766</td>\n",
       "      <td>-43.646513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-146.551481</td>\n",
       "      <td>420.875208</td>\n",
       "      <td>-87.131855</td>\n",
       "      <td>39.853165</td>\n",
       "      <td>-15.891980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>152.079389</td>\n",
       "      <td>418.365920</td>\n",
       "      <td>-77.996329</td>\n",
       "      <td>24.127038</td>\n",
       "      <td>-176.824052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-135.130395</td>\n",
       "      <td>422.728533</td>\n",
       "      <td>-115.831061</td>\n",
       "      <td>41.181275</td>\n",
       "      <td>209.868268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-51.809813</td>\n",
       "      <td>420.221341</td>\n",
       "      <td>10.317085</td>\n",
       "      <td>-52.434387</td>\n",
       "      <td>-76.886800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>152.111697</td>\n",
       "      <td>418.656822</td>\n",
       "      <td>-137.158199</td>\n",
       "      <td>11.658573</td>\n",
       "      <td>-141.542182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>750.487688</td>\n",
       "      <td>411.573427</td>\n",
       "      <td>66.105219</td>\n",
       "      <td>269.812266</td>\n",
       "      <td>-80.279364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-444.918307</td>\n",
       "      <td>415.609765</td>\n",
       "      <td>-97.083894</td>\n",
       "      <td>-72.184868</td>\n",
       "      <td>-46.112587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1358.475936</td>\n",
       "      <td>410.133620</td>\n",
       "      <td>-62.801086</td>\n",
       "      <td>133.486114</td>\n",
       "      <td>-17.556652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-345.787567</td>\n",
       "      <td>413.168083</td>\n",
       "      <td>-57.902038</td>\n",
       "      <td>-33.405241</td>\n",
       "      <td>-16.287761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82511</th>\n",
       "      <td>-452.766225</td>\n",
       "      <td>-362.099251</td>\n",
       "      <td>30.646946</td>\n",
       "      <td>-40.586697</td>\n",
       "      <td>-25.326949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82512</th>\n",
       "      <td>143.375569</td>\n",
       "      <td>-375.500265</td>\n",
       "      <td>188.086206</td>\n",
       "      <td>-33.422933</td>\n",
       "      <td>-87.441917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82513</th>\n",
       "      <td>-453.270126</td>\n",
       "      <td>-349.475391</td>\n",
       "      <td>-55.772772</td>\n",
       "      <td>-39.040572</td>\n",
       "      <td>-87.411504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82514</th>\n",
       "      <td>-61.253134</td>\n",
       "      <td>-354.388100</td>\n",
       "      <td>-45.846585</td>\n",
       "      <td>141.287435</td>\n",
       "      <td>-41.375420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82515</th>\n",
       "      <td>-142.250695</td>\n",
       "      <td>-350.282196</td>\n",
       "      <td>-115.588306</td>\n",
       "      <td>37.336262</td>\n",
       "      <td>88.259554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82516</th>\n",
       "      <td>-57.087329</td>\n",
       "      <td>-357.109487</td>\n",
       "      <td>180.026913</td>\n",
       "      <td>-58.401162</td>\n",
       "      <td>-48.778256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82517</th>\n",
       "      <td>-60.700962</td>\n",
       "      <td>-364.871428</td>\n",
       "      <td>-85.386328</td>\n",
       "      <td>-8.428455</td>\n",
       "      <td>-15.061272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82518</th>\n",
       "      <td>-450.328973</td>\n",
       "      <td>-348.696147</td>\n",
       "      <td>-93.680253</td>\n",
       "      <td>19.653915</td>\n",
       "      <td>-17.973677</td>\n",
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       "    <tr>\n",
       "      <th>82519</th>\n",
       "      <td>-457.213731</td>\n",
       "      <td>-351.103921</td>\n",
       "      <td>49.376289</td>\n",
       "      <td>183.158475</td>\n",
       "      <td>-147.635020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82520</th>\n",
       "      <td>141.121101</td>\n",
       "      <td>-370.495516</td>\n",
       "      <td>0.509320</td>\n",
       "      <td>33.822874</td>\n",
       "      <td>-53.638046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82521</th>\n",
       "      <td>-57.242312</td>\n",
       "      <td>-354.529712</td>\n",
       "      <td>-36.828091</td>\n",
       "      <td>-46.827012</td>\n",
       "      <td>-95.426193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82522</th>\n",
       "      <td>-448.335402</td>\n",
       "      <td>-368.437014</td>\n",
       "      <td>-117.271832</td>\n",
       "      <td>23.358122</td>\n",
       "      <td>-69.779251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82523</th>\n",
       "      <td>-158.783143</td>\n",
       "      <td>-352.857800</td>\n",
       "      <td>-22.989341</td>\n",
       "      <td>87.632975</td>\n",
       "      <td>-26.974524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82524</th>\n",
       "      <td>-58.246387</td>\n",
       "      <td>-371.281663</td>\n",
       "      <td>-229.112718</td>\n",
       "      <td>-170.574412</td>\n",
       "      <td>-3.949294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82525</th>\n",
       "      <td>-62.616223</td>\n",
       "      <td>-360.351330</td>\n",
       "      <td>273.742020</td>\n",
       "      <td>368.417498</td>\n",
       "      <td>-174.089124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82526</th>\n",
       "      <td>857.943931</td>\n",
       "      <td>-361.082309</td>\n",
       "      <td>-17.296688</td>\n",
       "      <td>98.990193</td>\n",
       "      <td>3.686562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82527</th>\n",
       "      <td>-448.272720</td>\n",
       "      <td>-368.525338</td>\n",
       "      <td>-135.934777</td>\n",
       "      <td>-43.959010</td>\n",
       "      <td>-26.935747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82528</th>\n",
       "      <td>-252.207082</td>\n",
       "      <td>-348.718830</td>\n",
       "      <td>-83.540616</td>\n",
       "      <td>9.044955</td>\n",
       "      <td>-77.039319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82529</th>\n",
       "      <td>143.493403</td>\n",
       "      <td>-366.301832</td>\n",
       "      <td>234.848131</td>\n",
       "      <td>-117.354065</td>\n",
       "      <td>-77.771976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82530</th>\n",
       "      <td>144.764007</td>\n",
       "      <td>-366.975532</td>\n",
       "      <td>-135.726749</td>\n",
       "      <td>-5.125714</td>\n",
       "      <td>-84.748312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82531</th>\n",
       "      <td>-59.660224</td>\n",
       "      <td>-370.033510</td>\n",
       "      <td>63.627242</td>\n",
       "      <td>-85.752525</td>\n",
       "      <td>-16.919211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82532</th>\n",
       "      <td>154.935822</td>\n",
       "      <td>-377.186623</td>\n",
       "      <td>142.262789</td>\n",
       "      <td>52.843385</td>\n",
       "      <td>117.313697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82533</th>\n",
       "      <td>144.444573</td>\n",
       "      <td>-357.831645</td>\n",
       "      <td>183.197058</td>\n",
       "      <td>-116.668066</td>\n",
       "      <td>-64.912614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82534</th>\n",
       "      <td>-452.696558</td>\n",
       "      <td>-367.746596</td>\n",
       "      <td>-99.039305</td>\n",
       "      <td>48.963414</td>\n",
       "      <td>12.768639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82535</th>\n",
       "      <td>-60.181205</td>\n",
       "      <td>-356.363417</td>\n",
       "      <td>25.345348</td>\n",
       "      <td>170.239724</td>\n",
       "      <td>-144.536301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82536</th>\n",
       "      <td>-55.829903</td>\n",
       "      <td>-374.964668</td>\n",
       "      <td>216.894801</td>\n",
       "      <td>-295.302143</td>\n",
       "      <td>-84.352817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82537</th>\n",
       "      <td>-57.066765</td>\n",
       "      <td>-370.455981</td>\n",
       "      <td>-23.897068</td>\n",
       "      <td>-111.954707</td>\n",
       "      <td>-80.909288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82538</th>\n",
       "      <td>144.511153</td>\n",
       "      <td>-362.035459</td>\n",
       "      <td>474.304719</td>\n",
       "      <td>-203.984009</td>\n",
       "      <td>-64.862565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82539</th>\n",
       "      <td>-356.582682</td>\n",
       "      <td>-365.433617</td>\n",
       "      <td>-43.244298</td>\n",
       "      <td>-6.493778</td>\n",
       "      <td>-44.855001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82540</th>\n",
       "      <td>858.767784</td>\n",
       "      <td>-380.893493</td>\n",
       "      <td>119.302707</td>\n",
       "      <td>279.332878</td>\n",
       "      <td>-68.763438</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>82541 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 0           1           2           3           4\n",
       "0      -133.425467  416.729841  214.172404   76.781853  190.304880\n",
       "1       -55.128765  378.932372  196.200346  125.988619 -127.472633\n",
       "2       149.936581  416.423310  102.112823  -67.751090  -44.491560\n",
       "3        46.582450  417.997994  -35.820739  144.959881  -67.643310\n",
       "4       853.368060  412.614716   21.949534 -129.034877    8.641655\n",
       "5      -330.798884  424.140374   41.119212   66.588264   45.032284\n",
       "6      -133.769249  418.740881  101.852264  383.259601   56.119050\n",
       "7       -52.105986  417.452705  -45.212036   11.724102  -50.618332\n",
       "8       163.912747  425.815492   92.869646  142.535378   12.854047\n",
       "9       -52.735063  396.333527  -34.471108  102.953351 -136.699888\n",
       "10      144.931409  411.139010  111.383244  430.284939 -118.522700\n",
       "11     -136.987997  422.607488  -45.599533  -42.581543  169.934956\n",
       "12      -53.077651  383.218840   -3.079556   77.739411 -116.545969\n",
       "13      -51.896181  411.036611  -87.727891  -71.448131  -15.356635\n",
       "14     -138.580950  421.733291  -63.705928   46.290894  163.043618\n",
       "15      -49.712442  423.796286  363.943220 -241.403705 -123.467431\n",
       "16     -353.070099  421.785091  -47.827390   27.083639  -10.617091\n",
       "17      869.456158  423.260681 -146.743453  -37.443886   53.743956\n",
       "18      -52.456661  410.771005  -66.407132   17.927230  -60.757302\n",
       "19      -57.084840  426.325819   86.297548  187.988026   25.581728\n",
       "20       48.677869  419.611336  -88.984609   37.019766  -43.646513\n",
       "21     -146.551481  420.875208  -87.131855   39.853165  -15.891980\n",
       "22      152.079389  418.365920  -77.996329   24.127038 -176.824052\n",
       "23     -135.130395  422.728533 -115.831061   41.181275  209.868268\n",
       "24      -51.809813  420.221341   10.317085  -52.434387  -76.886800\n",
       "25      152.111697  418.656822 -137.158199   11.658573 -141.542182\n",
       "26      750.487688  411.573427   66.105219  269.812266  -80.279364\n",
       "27     -444.918307  415.609765  -97.083894  -72.184868  -46.112587\n",
       "28     1358.475936  410.133620  -62.801086  133.486114  -17.556652\n",
       "29     -345.787567  413.168083  -57.902038  -33.405241  -16.287761\n",
       "...            ...         ...         ...         ...         ...\n",
       "82511  -452.766225 -362.099251   30.646946  -40.586697  -25.326949\n",
       "82512   143.375569 -375.500265  188.086206  -33.422933  -87.441917\n",
       "82513  -453.270126 -349.475391  -55.772772  -39.040572  -87.411504\n",
       "82514   -61.253134 -354.388100  -45.846585  141.287435  -41.375420\n",
       "82515  -142.250695 -350.282196 -115.588306   37.336262   88.259554\n",
       "82516   -57.087329 -357.109487  180.026913  -58.401162  -48.778256\n",
       "82517   -60.700962 -364.871428  -85.386328   -8.428455  -15.061272\n",
       "82518  -450.328973 -348.696147  -93.680253   19.653915  -17.973677\n",
       "82519  -457.213731 -351.103921   49.376289  183.158475 -147.635020\n",
       "82520   141.121101 -370.495516    0.509320   33.822874  -53.638046\n",
       "82521   -57.242312 -354.529712  -36.828091  -46.827012  -95.426193\n",
       "82522  -448.335402 -368.437014 -117.271832   23.358122  -69.779251\n",
       "82523  -158.783143 -352.857800  -22.989341   87.632975  -26.974524\n",
       "82524   -58.246387 -371.281663 -229.112718 -170.574412   -3.949294\n",
       "82525   -62.616223 -360.351330  273.742020  368.417498 -174.089124\n",
       "82526   857.943931 -361.082309  -17.296688   98.990193    3.686562\n",
       "82527  -448.272720 -368.525338 -135.934777  -43.959010  -26.935747\n",
       "82528  -252.207082 -348.718830  -83.540616    9.044955  -77.039319\n",
       "82529   143.493403 -366.301832  234.848131 -117.354065  -77.771976\n",
       "82530   144.764007 -366.975532 -135.726749   -5.125714  -84.748312\n",
       "82531   -59.660224 -370.033510   63.627242  -85.752525  -16.919211\n",
       "82532   154.935822 -377.186623  142.262789   52.843385  117.313697\n",
       "82533   144.444573 -357.831645  183.197058 -116.668066  -64.912614\n",
       "82534  -452.696558 -367.746596  -99.039305   48.963414   12.768639\n",
       "82535   -60.181205 -356.363417   25.345348  170.239724 -144.536301\n",
       "82536   -55.829903 -374.964668  216.894801 -295.302143  -84.352817\n",
       "82537   -57.066765 -370.455981  -23.897068 -111.954707  -80.909288\n",
       "82538   144.511153 -362.035459  474.304719 -203.984009  -64.862565\n",
       "82539  -356.582682 -365.433617  -43.244298   -6.493778  -44.855001\n",
       "82540   858.767784 -380.893493  119.302707  279.332878  -68.763438\n",
       "\n",
       "[82541 rows x 5 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca = PCA(n_components=5)\n",
    "train_x = pca.fit_transform(train_folds[0].drop(columns=[\"hospital_death\"]))\n",
    "test_x = pca.fit_transform(test_folds[0].drop(columns=[\"hospital_death\"]))\n",
    "train_x = pandas.DataFrame(data=train_x[0:,0:], index=[i for i in range(train_x.shape[0])])\n",
    "test_x = pandas.DataFrame(data=test_x[0:,0:], index=[i for i in range(test_x.shape[0])])\n",
    "train_x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Random forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Recall SGB 9: Positive-> 0.0\t Negative-> 1.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/media/mdleiton/Respaldo/repositorios/env/lib/python3.5/site-packages/sklearn/metrics/_classification.py:1272: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "classifier = RandomForestClassifier(max_depth=4, random_state=0)\n",
    "classifier.fit(train_x, train_folds[0][\"hospital_death\"])\n",
    "\n",
    "# Predicting the Test set results\n",
    "y_pred = classifier.predict(test_x)\n",
    "result = classification_report(test_folds[0][\"hospital_death\"], y_pred, output_dict=True)\n",
    "recall = result[\"1\"][\"recall\"]\n",
    "recalln = result[\"0\"][\"recall\"]\n",
    "print(\"Recall SGB \" + str(i) + \": Positive-> \" + str(recall) +\"\\t Negative-> \" + str(recalln))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  </thead>\n",
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       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>99.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>34.8</td>\n",
       "      <td>19.0</td>\n",
       "      <td>35.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>19.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>36.7</td>\n",
       "      <td>13.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>36.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>92.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>38.5</td>\n",
       "      <td>48.0</td>\n",
       "      <td>38.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>36.9</td>\n",
       "      <td>15.0</td>\n",
       "      <td>36.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>36.9</td>\n",
       "      <td>10.0</td>\n",
       "      <td>36.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>93.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>14.0</td>\n",
       "      <td>36.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>87.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>29.0</td>\n",
       "      <td>36.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>98.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>19.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>26.0</td>\n",
       "      <td>36.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>94.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>36.3</td>\n",
       "      <td>26.0</td>\n",
       "      <td>37.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>95.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>35.8</td>\n",
       "      <td>34.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>36.5</td>\n",
       "      <td>24.0</td>\n",
       "      <td>36.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>95.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>15.0</td>\n",
       "      <td>36.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>95.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>19.0</td>\n",
       "      <td>36.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>93.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>36.4</td>\n",
       "      <td>19.0</td>\n",
       "      <td>36.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>95.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>19.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>18.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>92.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>31.0</td>\n",
       "      <td>38.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>90.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>36.3</td>\n",
       "      <td>13.0</td>\n",
       "      <td>36.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>36.5</td>\n",
       "      <td>12.0</td>\n",
       "      <td>36.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>78.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>73.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>93.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>12.0</td>\n",
       "      <td>36.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>95.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>15.0</td>\n",
       "      <td>36.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>99.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>14.0</td>\n",
       "      <td>36.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>95.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>36.7</td>\n",
       "      <td>14.0</td>\n",
       "      <td>36.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91683</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>94.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>37.1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>37.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91684</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>78.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>19.0</td>\n",
       "      <td>36.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91685</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>90.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>17.0</td>\n",
       "      <td>36.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91686</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>78.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>49.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91687</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.7</td>\n",
       "      <td>16.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91688</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>99.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>15.0</td>\n",
       "      <td>36.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91689</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>89.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>35.9</td>\n",
       "      <td>11.0</td>\n",
       "      <td>35.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91690</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>91.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>36.9</td>\n",
       "      <td>33.0</td>\n",
       "      <td>36.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91691</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>53.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>25.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91692</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>99.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>36.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>36.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91693</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>37.1</td>\n",
       "      <td>27.0</td>\n",
       "      <td>37.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91694</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>20.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91695</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>10.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91696</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>78.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>18.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91697</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>37.1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>37.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91698</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>36.5</td>\n",
       "      <td>9.0</td>\n",
       "      <td>36.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91699</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>98.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.4</td>\n",
       "      <td>14.0</td>\n",
       "      <td>36.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91700</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>19.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91701</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>36.4</td>\n",
       "      <td>21.0</td>\n",
       "      <td>36.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91702</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.3</td>\n",
       "      <td>9.0</td>\n",
       "      <td>36.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91703</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.9</td>\n",
       "      <td>24.0</td>\n",
       "      <td>36.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91704</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>50.0</td>\n",
       "      <td>36.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91705</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>16.0</td>\n",
       "      <td>36.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91706</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>98.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>20.0</td>\n",
       "      <td>36.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91707</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>91.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>71.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91708</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>38.2</td>\n",
       "      <td>27.0</td>\n",
       "      <td>38.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91709</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>36.1</td>\n",
       "      <td>34.0</td>\n",
       "      <td>36.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91710</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>33.0</td>\n",
       "      <td>36.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91711</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>19.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91712</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>36.7</td>\n",
       "      <td>27.0</td>\n",
       "      <td>36.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>91713 rows × 165 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      leukemia lymphoma  ethnicity_encoded  ethnicity_0  ethnicity_1  \\\n",
       "0            0        0                  2          0.0          0.0   \n",
       "1            0        0                  2          0.0          0.0   \n",
       "2            0        0                  2          0.0          0.0   \n",
       "3            0        0                  2          0.0          0.0   \n",
       "4            0        0                  2          0.0          0.0   \n",
       "5            0        0                  2          0.0          0.0   \n",
       "6            0        0                  2          0.0          0.0   \n",
       "7            0        0                  2          0.0          0.0   \n",
       "8            0        0                  2          0.0          0.0   \n",
       "9            0        0                  2          0.0          0.0   \n",
       "10           0        0                  3          0.0          0.0   \n",
       "11           1        0                  2          0.0          0.0   \n",
       "12           0        0                  2          0.0          0.0   \n",
       "13           0        0                  2          0.0          0.0   \n",
       "14           0        0                  2          0.0          0.0   \n",
       "15           0        0                  2          0.0          0.0   \n",
       "16           0        0                  2          0.0          0.0   \n",
       "17           0        0                  3          0.0          0.0   \n",
       "18           0        0                  3          0.0          0.0   \n",
       "19           0        0                  2          0.0          0.0   \n",
       "20           1        0                  2          0.0          0.0   \n",
       "21           0        0                  2          0.0          0.0   \n",
       "22           0        0                  2          0.0          0.0   \n",
       "23           0        0                  2          0.0          0.0   \n",
       "24           0        0                  2          0.0          0.0   \n",
       "25           0        0                  2          0.0          0.0   \n",
       "26           0        0                  2          0.0          0.0   \n",
       "27           0        0                  2          0.0          0.0   \n",
       "28           0        0                  2          0.0          0.0   \n",
       "29           0        0                  0          1.0          0.0   \n",
       "...        ...      ...                ...          ...          ...   \n",
       "91683        0        0                  2          0.0          0.0   \n",
       "91684        0        0                  1          0.0          1.0   \n",
       "91685        0        0                  2          0.0          0.0   \n",
       "91686        0        0                  2          0.0          0.0   \n",
       "91687        0        0                  2          0.0          0.0   \n",
       "91688        0        0                  2          0.0          0.0   \n",
       "91689        0        0                  2          0.0          0.0   \n",
       "91690        0        0                  2          0.0          0.0   \n",
       "91691        0        0                  2          0.0          0.0   \n",
       "91692        0        0                  2          0.0          0.0   \n",
       "91693        0        0                  2          0.0          0.0   \n",
       "91694        0        0                  2          0.0          0.0   \n",
       "91695        0        0                  2          0.0          0.0   \n",
       "91696        0        0                  2          0.0          0.0   \n",
       "91697        0        0                  2          0.0          0.0   \n",
       "91698        0        0                  2          0.0          0.0   \n",
       "91699        0        0                  0          1.0          0.0   \n",
       "91700        0        0                  2          0.0          0.0   \n",
       "91701        0        0                  2          0.0          0.0   \n",
       "91702        0        0                  2          0.0          0.0   \n",
       "91703        0        0                  2          0.0          0.0   \n",
       "91704        0        0                  2          0.0          0.0   \n",
       "91705        0        0                  0          1.0          0.0   \n",
       "91706        0        0                  4          0.0          0.0   \n",
       "91707        0        0                  2          0.0          0.0   \n",
       "91708        0        0                  2          0.0          0.0   \n",
       "91709        0        0                  2          0.0          0.0   \n",
       "91710        0        0                  2          0.0          0.0   \n",
       "91711        0        0                  2          0.0          0.0   \n",
       "91712        0        0                  2          0.0          0.0   \n",
       "\n",
       "       ethnicity_2  ethnicity_3  ethnicity_4  ethnicity_5  gender_encoded  \\\n",
       "0              1.0          0.0          0.0          0.0               1   \n",
       "1              1.0          0.0          0.0          0.0               0   \n",
       "2              1.0          0.0          0.0          0.0               0   \n",
       "3              1.0          0.0          0.0          0.0               0   \n",
       "4              1.0          0.0          0.0          0.0               1   \n",
       "5              1.0          0.0          0.0          0.0               1   \n",
       "6              1.0          0.0          0.0          0.0               0   \n",
       "7              1.0          0.0          0.0          0.0               1   \n",
       "8              1.0          0.0          0.0          0.0               1   \n",
       "9              1.0          0.0          0.0          0.0               1   \n",
       "10             0.0          1.0          0.0          0.0               0   \n",
       "11             1.0          0.0          0.0          0.0               0   \n",
       "12             1.0          0.0          0.0          0.0               1   \n",
       "13             1.0          0.0          0.0          0.0               1   \n",
       "14             1.0          0.0          0.0          0.0               1   \n",
       "15             1.0          0.0          0.0          0.0               0   \n",
       "16             1.0          0.0          0.0          0.0               1   \n",
       "17             0.0          1.0          0.0          0.0               1   \n",
       "18             0.0          1.0          0.0          0.0               1   \n",
       "19             1.0          0.0          0.0          0.0               1   \n",
       "20             1.0          0.0          0.0          0.0               0   \n",
       "21             1.0          0.0          0.0          0.0               1   \n",
       "22             1.0          0.0          0.0          0.0               0   \n",
       "23             1.0          0.0          0.0          0.0               1   \n",
       "24             1.0          0.0          0.0          0.0               1   \n",
       "25             1.0          0.0          0.0          0.0               0   \n",
       "26             1.0          0.0          0.0          0.0               0   \n",
       "27             1.0          0.0          0.0          0.0               0   \n",
       "28             1.0          0.0          0.0          0.0               0   \n",
       "29             0.0          0.0          0.0          0.0               1   \n",
       "...            ...          ...          ...          ...             ...   \n",
       "91683          1.0          0.0          0.0          0.0               0   \n",
       "91684          0.0          0.0          0.0          0.0               0   \n",
       "91685          1.0          0.0          0.0          0.0               0   \n",
       "91686          1.0          0.0          0.0          0.0               0   \n",
       "91687          1.0          0.0          0.0          0.0               1   \n",
       "91688          1.0          0.0          0.0          0.0               1   \n",
       "91689          1.0          0.0          0.0          0.0               1   \n",
       "91690          1.0          0.0          0.0          0.0               0   \n",
       "91691          1.0          0.0          0.0          0.0               0   \n",
       "91692          1.0          0.0          0.0          0.0               0   \n",
       "91693          1.0          0.0          0.0          0.0               1   \n",
       "91694          1.0          0.0          0.0          0.0               1   \n",
       "91695          1.0          0.0          0.0          0.0               0   \n",
       "91696          1.0          0.0          0.0          0.0               1   \n",
       "91697          1.0          0.0          0.0          0.0               0   \n",
       "91698          1.0          0.0          0.0          0.0               1   \n",
       "91699          0.0          0.0          0.0          0.0               1   \n",
       "91700          1.0          0.0          0.0          0.0               1   \n",
       "91701          1.0          0.0          0.0          0.0               1   \n",
       "91702          1.0          0.0          0.0          0.0               1   \n",
       "91703          1.0          0.0          0.0          0.0               1   \n",
       "91704          1.0          0.0          0.0          0.0               1   \n",
       "91705          0.0          0.0          0.0          0.0               1   \n",
       "91706          0.0          0.0          1.0          0.0               1   \n",
       "91707          1.0          0.0          0.0          0.0               0   \n",
       "91708          1.0          0.0          0.0          0.0               1   \n",
       "91709          1.0          0.0          0.0          0.0               0   \n",
       "91710          1.0          0.0          0.0          0.0               1   \n",
       "91711          1.0          0.0          0.0          0.0               0   \n",
       "91712          1.0          0.0          0.0          0.0               0   \n",
       "\n",
       "       ...  h1_spo2_min  h1_spo2_max  h1_resprate_max  h1_mbp_noninvasive_min  \\\n",
       "0      ...         74.0        100.0             26.0                    85.0   \n",
       "1      ...         70.0         95.0             31.0                    57.0   \n",
       "2      ...         91.0         98.0             20.0                    83.0   \n",
       "3      ...         99.0        100.0             12.0                    79.0   \n",
       "4      ...        100.0        100.0             21.0                    92.0   \n",
       "5      ...         97.0         97.0             12.0                   111.0   \n",
       "6      ...        100.0        100.0             18.0                   117.0   \n",
       "7      ...         92.0         96.0             28.0                    60.0   \n",
       "8      ...         97.0         97.0             24.0                    71.0   \n",
       "9      ...         96.0        100.0             29.0                    77.0   \n",
       "10     ...         93.0         99.0             23.0                    87.0   \n",
       "11     ...         87.0         97.0             21.0                   102.0   \n",
       "12     ...         98.0         99.0             24.0                   112.0   \n",
       "13     ...         84.0         97.0             31.0                    89.0   \n",
       "14     ...         94.0        100.0             30.0                    79.0   \n",
       "15     ...         95.0        100.0             20.0                    77.0   \n",
       "16     ...         96.0         99.0             21.0                    96.0   \n",
       "17     ...         95.0         99.0             21.0                    88.0   \n",
       "18     ...         95.0         99.0             21.0                    78.0   \n",
       "19     ...         93.0         99.0             18.0                    79.0   \n",
       "20     ...         95.0         96.0             21.0                    72.0   \n",
       "21     ...         96.0         98.0             21.0                    71.0   \n",
       "22     ...         92.0         98.0             28.0                    69.0   \n",
       "23     ...         90.0         99.0             36.0                    90.0   \n",
       "24     ...         97.0         99.0             18.0                    87.0   \n",
       "25     ...         78.0        100.0             29.0                    47.0   \n",
       "26     ...         93.0         98.0             28.0                   101.0   \n",
       "27     ...         95.0         99.0             23.0                   108.0   \n",
       "28     ...         99.0        100.0             14.0                    92.0   \n",
       "29     ...         95.0        100.0             18.0                    86.0   \n",
       "...    ...          ...          ...              ...                     ...   \n",
       "91683  ...         94.0         94.0             17.0                    79.0   \n",
       "91684  ...         78.0        100.0             26.0                    76.0   \n",
       "91685  ...         90.0        100.0             12.0                    40.0   \n",
       "91686  ...         78.0        100.0             24.0                    78.0   \n",
       "91687  ...         96.0         99.0             21.0                    79.0   \n",
       "91688  ...         99.0        100.0             27.0                    79.0   \n",
       "91689  ...         89.0         97.0             27.0                    90.0   \n",
       "91690  ...         91.0         91.0             18.0                    77.0   \n",
       "91691  ...         53.0         96.0             29.0                    41.0   \n",
       "91692  ...         99.0        100.0             20.0                    90.0   \n",
       "91693  ...         96.0         98.0             24.0                    66.0   \n",
       "91694  ...         96.0         99.0             21.0                    79.0   \n",
       "91695  ...         96.0         99.0             21.0                    79.0   \n",
       "91696  ...         78.0         90.0             26.0                    41.0   \n",
       "91697  ...        100.0        100.0             23.0                    49.0   \n",
       "91698  ...         97.0         99.0             15.0                    78.0   \n",
       "91699  ...         98.0         98.0             14.0                    79.0   \n",
       "91700  ...         96.0         99.0             21.0                    79.0   \n",
       "91701  ...         96.0         99.0             21.0                    70.0   \n",
       "91702  ...         96.0         99.0             21.0                    79.0   \n",
       "91703  ...         96.0         99.0             21.0                    79.0   \n",
       "91704  ...         96.0         99.0             21.0                    79.0   \n",
       "91705  ...         96.0         99.0             21.0                    79.0   \n",
       "91706  ...         98.0        100.0             19.0                   108.0   \n",
       "91707  ...         91.0        100.0             23.0                    41.0   \n",
       "91708  ...         97.0         98.0             24.0                    55.0   \n",
       "91709  ...         96.0         99.0             28.0                    68.0   \n",
       "91710  ...         96.0         99.0             21.0                    79.0   \n",
       "91711  ...         96.0         99.0             21.0                    79.0   \n",
       "91712  ...        100.0        100.0             19.0                    56.0   \n",
       "\n",
       "       h1_sysbp_max  h1_sysbp_noninvasive_min  h1_sysbp_min  h1_temp_min  \\\n",
       "0             131.0                     115.0         115.0         37.5   \n",
       "1              95.0                      71.0          71.0         36.3   \n",
       "2             148.0                     124.0         124.0         36.7   \n",
       "3             136.0                     115.0         106.0         34.8   \n",
       "4             130.0                     120.0         120.0         36.6   \n",
       "5             143.0                     143.0         143.0         36.7   \n",
       "6             191.0                     115.0         163.0         35.0   \n",
       "7             119.0                     106.0         106.0         38.5   \n",
       "8             104.0                      98.0          98.0         36.9   \n",
       "9             135.0                     103.0         103.0         36.9   \n",
       "10            145.0                     114.0         114.0         36.8   \n",
       "11            131.0                     131.0         131.0         36.8   \n",
       "12            163.0                     111.0         111.0         36.6   \n",
       "13            138.0                     125.0         125.0         36.8   \n",
       "14            113.0                     106.0         106.0         36.3   \n",
       "15            119.0                      89.0          89.0         35.8   \n",
       "16            136.0                     133.0         133.0         36.5   \n",
       "17            169.0                     115.0         115.0         36.6   \n",
       "18            121.0                      93.0          93.0         36.6   \n",
       "19            146.0                     115.0         110.0         36.4   \n",
       "20            142.0                     107.0         107.0         36.6   \n",
       "21            164.0                     126.0         126.0         36.6   \n",
       "22            106.0                      94.0          94.0         37.2   \n",
       "23            159.0                     129.0         129.0         36.3   \n",
       "24            127.0                     109.0         109.0         36.5   \n",
       "25             98.0                      74.0          74.0         36.6   \n",
       "26            165.0                     152.0         152.0         36.8   \n",
       "27            170.0                     146.0         146.0         36.6   \n",
       "28            154.0                     126.0         154.0         36.6   \n",
       "29            123.0                      85.0          85.0         36.7   \n",
       "...             ...                       ...           ...          ...   \n",
       "91683         131.0                     115.0         115.0         37.1   \n",
       "91684         103.0                     103.0         103.0         36.6   \n",
       "91685          83.0                      65.0          65.0         36.6   \n",
       "91686         150.0                     115.0         115.0         36.6   \n",
       "91687         131.0                     115.0         115.0         36.7   \n",
       "91688         131.0                     115.0         115.0         36.6   \n",
       "91689         122.0                     114.0         114.0         35.9   \n",
       "91690         155.0                     155.0         155.0         36.9   \n",
       "91691         100.0                      71.0          71.0         36.6   \n",
       "91692         120.0                     110.0         110.0         36.9   \n",
       "91693          94.0                      85.0          85.0         37.1   \n",
       "91694         131.0                     115.0         115.0         36.6   \n",
       "91695         131.0                     115.0         115.0         36.6   \n",
       "91696         193.0                      58.0          58.0         36.6   \n",
       "91697          89.0                      83.0          83.0         37.1   \n",
       "91698         104.0                     104.0         104.0         36.5   \n",
       "91699         131.0                     115.0         115.0         36.4   \n",
       "91700         131.0                     115.0         115.0         36.6   \n",
       "91701         121.0                     103.0         103.0         36.4   \n",
       "91702         131.0                     115.0         115.0         36.3   \n",
       "91703         131.0                     115.0         115.0         36.9   \n",
       "91704         131.0                     115.0         115.0         36.8   \n",
       "91705         131.0                     115.0         115.0         36.8   \n",
       "91706         169.0                     143.0         143.0         36.6   \n",
       "91707          95.0                      87.0          87.0         36.6   \n",
       "91708          94.0                      87.0          87.0         38.2   \n",
       "91709         127.0                     107.0         107.0         36.1   \n",
       "91710         131.0                     115.0         115.0         36.6   \n",
       "91711         131.0                     115.0         115.0         36.6   \n",
       "91712          93.0                      89.0          89.0         36.7   \n",
       "\n",
       "       d1_bun_max  h1_temp_max  \n",
       "0            31.0         39.5  \n",
       "1            11.0         36.3  \n",
       "2            19.0         36.7  \n",
       "3            19.0         35.6  \n",
       "4            19.0         36.7  \n",
       "5            13.0         36.7  \n",
       "6            18.0         36.8  \n",
       "7            48.0         38.5  \n",
       "8            15.0         36.9  \n",
       "9            10.0         36.9  \n",
       "10           14.0         36.8  \n",
       "11           29.0         36.8  \n",
       "12           19.0         36.7  \n",
       "13           26.0         36.8  \n",
       "14           26.0         37.1  \n",
       "15           34.0         36.7  \n",
       "16           24.0         36.5  \n",
       "17           15.0         36.6  \n",
       "18           19.0         36.6  \n",
       "19           19.0         36.4  \n",
       "20           19.0         36.7  \n",
       "21           18.0         36.7  \n",
       "22           31.0         38.2  \n",
       "23           13.0         36.8  \n",
       "24           12.0         36.6  \n",
       "25           73.0         36.7  \n",
       "26           12.0         36.9  \n",
       "27           15.0         36.6  \n",
       "28           14.0         36.6  \n",
       "29           14.0         36.9  \n",
       "...           ...          ...  \n",
       "91683        19.0         37.1  \n",
       "91684        19.0         36.6  \n",
       "91685        17.0         36.6  \n",
       "91686        49.0         36.7  \n",
       "91687        16.0         36.7  \n",
       "91688        15.0         36.6  \n",
       "91689        11.0         35.9  \n",
       "91690        33.0         36.9  \n",
       "91691        25.0         36.7  \n",
       "91692         6.0         36.9  \n",
       "91693        27.0         37.1  \n",
       "91694        20.0         36.7  \n",
       "91695        10.0         36.7  \n",
       "91696        18.0         36.7  \n",
       "91697        10.0         37.1  \n",
       "91698         9.0         36.5  \n",
       "91699        14.0         36.4  \n",
       "91700        19.0         36.7  \n",
       "91701        21.0         36.4  \n",
       "91702         9.0         36.3  \n",
       "91703        24.0         36.9  \n",
       "91704        50.0         36.8  \n",
       "91705        16.0         36.8  \n",
       "91706        20.0         36.6  \n",
       "91707        71.0         36.7  \n",
       "91708        27.0         38.2  \n",
       "91709        34.0         36.1  \n",
       "91710        33.0         36.6  \n",
       "91711        19.0         36.7  \n",
       "91712        27.0         36.7  \n",
       "\n",
       "[91713 rows x 165 columns]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3 =data2.drop(columns=[\"hospital_death\"])\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>creatinine_apache</th>\n",
       "      <th>hematocrit_apache</th>\n",
       "      <th>map_apache</th>\n",
       "      <th>sodium_apache</th>\n",
       "      <th>temp_apache</th>\n",
       "      <th>wbc_apache</th>\n",
       "      <th>aids</th>\n",
       "      <th>cirrhosis</th>\n",
       "      <th>diabetes_mellitus</th>\n",
       "      <th>hepatic_failure</th>\n",
       "      <th>immunosuppression</th>\n",
       "      <th>leukemia</th>\n",
       "      <th>lymphoma</th>\n",
       "      <th>solid_tumor_with_metastasis</th>\n",
       "      <th>hospital_death</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.70</td>\n",
       "      <td>27.200000</td>\n",
       "      <td>146.000000</td>\n",
       "      <td>136.0</td>\n",
       "      <td>38.90</td>\n",
       "      <td>18.40</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>63.000000</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.90</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35.000000</td>\n",
       "      <td>0.40</td>\n",
       "      <td>36.700000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>132.0</td>\n",
       "      <td>37.00</td>\n",
       "      <td>17.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>22.000000</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>107.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.33</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>80.000000</td>\n",
       "      <td>1.70</td>\n",
       "      <td>29.900000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>153.0</td>\n",
       "      <td>36.40</td>\n",
       "      <td>14.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>59.000000</td>\n",
       "      <td>0.30</td>\n",
       "      <td>34.900000</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>137.0</td>\n",
       "      <td>36.39</td>\n",
       "      <td>9.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>71.000000</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.60</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>50.000000</td>\n",
       "      <td>1.19</td>\n",
       "      <td>34.700000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>135.0</td>\n",
       "      <td>39.10</td>\n",
       "      <td>9.89</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>34.000000</td>\n",
       "      <td>2.10</td>\n",
       "      <td>37.400000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>128.0</td>\n",
       "      <td>36.20</td>\n",
       "      <td>7.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>62.309516</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.50</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>19.000000</td>\n",
       "      <td>0.67</td>\n",
       "      <td>28.600000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>137.0</td>\n",
       "      <td>36.40</td>\n",
       "      <td>13.24</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>82.000000</td>\n",
       "      <td>0.98</td>\n",
       "      <td>40.200000</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.50</td>\n",
       "      <td>12.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>68.000000</td>\n",
       "      <td>0.98</td>\n",
       "      <td>27.800000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>136.0</td>\n",
       "      <td>36.80</td>\n",
       "      <td>15.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>84.000000</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>119.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>37.20</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>84.000000</td>\n",
       "      <td>0.90</td>\n",
       "      <td>42.700000</td>\n",
       "      <td>142.000000</td>\n",
       "      <td>139.0</td>\n",
       "      <td>36.67</td>\n",
       "      <td>6.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.60</td>\n",
       "      <td>39.500000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39.70</td>\n",
       "      <td>11.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>75.000000</td>\n",
       "      <td>0.60</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>137.0</td>\n",
       "      <td>36.50</td>\n",
       "      <td>4.70</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>87.000000</td>\n",
       "      <td>0.80</td>\n",
       "      <td>32.900000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>144.0</td>\n",
       "      <td>36.80</td>\n",
       "      <td>8.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>62.309516</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>88.015873</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.50</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>0.70</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>152.0</td>\n",
       "      <td>39.60</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>23.000000</td>\n",
       "      <td>0.80</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>141.0</td>\n",
       "      <td>36.20</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>38.000000</td>\n",
       "      <td>0.70</td>\n",
       "      <td>32.900000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.80</td>\n",
       "      <td>8.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>89.000000</td>\n",
       "      <td>1.62</td>\n",
       "      <td>28.500000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>131.0</td>\n",
       "      <td>36.80</td>\n",
       "      <td>11.23</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>50.000000</td>\n",
       "      <td>0.80</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>169.000000</td>\n",
       "      <td>136.0</td>\n",
       "      <td>36.80</td>\n",
       "      <td>7.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>62.000000</td>\n",
       "      <td>2.00</td>\n",
       "      <td>35.200000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>128.0</td>\n",
       "      <td>39.10</td>\n",
       "      <td>18.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26.000000</td>\n",
       "      <td>0.77</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.70</td>\n",
       "      <td>8.63</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>51.000000</td>\n",
       "      <td>1.10</td>\n",
       "      <td>26.300000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>132.0</td>\n",
       "      <td>36.60</td>\n",
       "      <td>23.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>65.000000</td>\n",
       "      <td>1.59</td>\n",
       "      <td>39.700000</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>35.90</td>\n",
       "      <td>7.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>66.000000</td>\n",
       "      <td>1.30</td>\n",
       "      <td>23.300000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>131.0</td>\n",
       "      <td>34.44</td>\n",
       "      <td>5.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>0.93</td>\n",
       "      <td>40.100000</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>133.0</td>\n",
       "      <td>36.70</td>\n",
       "      <td>11.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82511</th>\n",
       "      <td>75.000000</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>88.015873</td>\n",
       "      <td>138.0</td>\n",
       "      <td>37.70</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82512</th>\n",
       "      <td>19.000000</td>\n",
       "      <td>0.98</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.60</td>\n",
       "      <td>5.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82513</th>\n",
       "      <td>58.000000</td>\n",
       "      <td>1.28</td>\n",
       "      <td>25.600000</td>\n",
       "      <td>151.000000</td>\n",
       "      <td>130.0</td>\n",
       "      <td>36.60</td>\n",
       "      <td>6.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82514</th>\n",
       "      <td>86.000000</td>\n",
       "      <td>1.18</td>\n",
       "      <td>32.200000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>147.0</td>\n",
       "      <td>36.70</td>\n",
       "      <td>20.70</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82515</th>\n",
       "      <td>71.000000</td>\n",
       "      <td>0.90</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>139.0</td>\n",
       "      <td>36.10</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82516</th>\n",
       "      <td>49.000000</td>\n",
       "      <td>0.70</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>135.0</td>\n",
       "      <td>36.60</td>\n",
       "      <td>10.73</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82517</th>\n",
       "      <td>62.309516</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>88.015873</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.50</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82518</th>\n",
       "      <td>83.000000</td>\n",
       "      <td>0.90</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>144.0</td>\n",
       "      <td>36.70</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82519</th>\n",
       "      <td>59.000000</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.50</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82520</th>\n",
       "      <td>36.000000</td>\n",
       "      <td>0.40</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>136.0</td>\n",
       "      <td>36.80</td>\n",
       "      <td>5.26</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82521</th>\n",
       "      <td>62.309516</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>88.015873</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.50</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82522</th>\n",
       "      <td>58.000000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>140.0</td>\n",
       "      <td>36.70</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82523</th>\n",
       "      <td>49.000000</td>\n",
       "      <td>0.70</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>139.0</td>\n",
       "      <td>36.20</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82524</th>\n",
       "      <td>65.000000</td>\n",
       "      <td>1.30</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.80</td>\n",
       "      <td>7.11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82525</th>\n",
       "      <td>33.000000</td>\n",
       "      <td>0.98</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>37.10</td>\n",
       "      <td>24.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82526</th>\n",
       "      <td>47.000000</td>\n",
       "      <td>0.50</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>134.0</td>\n",
       "      <td>36.50</td>\n",
       "      <td>13.91</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82527</th>\n",
       "      <td>57.000000</td>\n",
       "      <td>1.10</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>88.015873</td>\n",
       "      <td>141.0</td>\n",
       "      <td>36.40</td>\n",
       "      <td>2.72</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82528</th>\n",
       "      <td>85.000000</td>\n",
       "      <td>1.60</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>146.0</td>\n",
       "      <td>36.60</td>\n",
       "      <td>7.66</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82529</th>\n",
       "      <td>21.000000</td>\n",
       "      <td>1.20</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>136.0</td>\n",
       "      <td>36.40</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82530</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>0.70</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>141.0</td>\n",
       "      <td>36.30</td>\n",
       "      <td>9.68</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82531</th>\n",
       "      <td>53.000000</td>\n",
       "      <td>1.40</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>133.000000</td>\n",
       "      <td>136.0</td>\n",
       "      <td>36.90</td>\n",
       "      <td>15.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82532</th>\n",
       "      <td>38.000000</td>\n",
       "      <td>7.10</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>140.0</td>\n",
       "      <td>36.80</td>\n",
       "      <td>8.56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82533</th>\n",
       "      <td>67.000000</td>\n",
       "      <td>0.80</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>134.0</td>\n",
       "      <td>36.40</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82534</th>\n",
       "      <td>54.000000</td>\n",
       "      <td>0.70</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>139.0</td>\n",
       "      <td>36.60</td>\n",
       "      <td>7.14</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82535</th>\n",
       "      <td>62.309516</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>88.015873</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.50</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82536</th>\n",
       "      <td>75.000000</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.60</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82537</th>\n",
       "      <td>56.000000</td>\n",
       "      <td>2.30</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>136.0</td>\n",
       "      <td>37.40</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82538</th>\n",
       "      <td>48.000000</td>\n",
       "      <td>2.30</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>135.0</td>\n",
       "      <td>35.80</td>\n",
       "      <td>17.55</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82539</th>\n",
       "      <td>62.309516</td>\n",
       "      <td>0.98</td>\n",
       "      <td>32.988739</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>138.0</td>\n",
       "      <td>36.30</td>\n",
       "      <td>10.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82540</th>\n",
       "      <td>82.000000</td>\n",
       "      <td>1.50</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>132.0</td>\n",
       "      <td>36.00</td>\n",
       "      <td>24.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>82541 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             age  creatinine_apache  hematocrit_apache  map_apache  \\\n",
       "0      62.000000               0.70          27.200000  146.000000   \n",
       "1      63.000000               0.98          32.988739   43.000000   \n",
       "2      35.000000               0.40          36.700000  122.000000   \n",
       "3      22.000000               0.98          32.988739  107.000000   \n",
       "4      80.000000               1.70          29.900000  200.000000   \n",
       "5      59.000000               0.30          34.900000   63.000000   \n",
       "6      71.000000               0.98          32.988739  114.000000   \n",
       "7      50.000000               1.19          34.700000  120.000000   \n",
       "8      34.000000               2.10          37.400000   53.000000   \n",
       "9      62.309516               0.98          32.988739   54.000000   \n",
       "10     19.000000               0.67          28.600000   73.000000   \n",
       "11     82.000000               0.98          40.200000  139.000000   \n",
       "12     68.000000               0.98          27.800000   56.000000   \n",
       "13     84.000000               0.98          32.988739  119.000000   \n",
       "14     84.000000               0.90          42.700000  142.000000   \n",
       "15     29.000000               0.60          39.500000   40.000000   \n",
       "16     75.000000               0.60          29.000000  144.000000   \n",
       "17     87.000000               0.80          32.900000  125.000000   \n",
       "18     62.309516               0.98          32.988739   88.015873   \n",
       "19     60.000000               0.70          32.988739  140.000000   \n",
       "20     23.000000               0.80          32.988739  114.000000   \n",
       "21     38.000000               0.70          32.900000  128.000000   \n",
       "22     89.000000               1.62          28.500000   40.000000   \n",
       "23     50.000000               0.80          44.000000  169.000000   \n",
       "24     62.000000               2.00          35.200000   46.000000   \n",
       "25     26.000000               0.77          37.000000   41.000000   \n",
       "26     51.000000               1.10          26.300000   41.000000   \n",
       "27     65.000000               1.59          39.700000   61.000000   \n",
       "28     66.000000               1.30          23.300000   69.000000   \n",
       "29     60.000000               0.93          40.100000  111.000000   \n",
       "...          ...                ...                ...         ...   \n",
       "82511  75.000000               0.98          32.988739   88.015873   \n",
       "82512  19.000000               0.98          35.000000   68.000000   \n",
       "82513  58.000000               1.28          25.600000  151.000000   \n",
       "82514  86.000000               1.18          32.200000  125.000000   \n",
       "82515  71.000000               0.90          32.988739   54.000000   \n",
       "82516  49.000000               0.70          37.000000   71.000000   \n",
       "82517  62.309516               0.98          32.988739   88.015873   \n",
       "82518  83.000000               0.90          32.988739   57.000000   \n",
       "82519  59.000000               0.98          32.988739   41.000000   \n",
       "82520  36.000000               0.40          37.000000   71.000000   \n",
       "82521  62.309516               0.98          32.988739   88.015873   \n",
       "82522  58.000000               1.00          32.988739   62.000000   \n",
       "82523  49.000000               0.70          32.988739  115.000000   \n",
       "82524  65.000000               1.30          32.000000  141.000000   \n",
       "82525  33.000000               0.98          26.000000   49.000000   \n",
       "82526  47.000000               0.50          41.000000   66.000000   \n",
       "82527  57.000000               1.10          37.000000   88.015873   \n",
       "82528  85.000000               1.60          22.000000   40.000000   \n",
       "82529  21.000000               1.20          32.988739   60.000000   \n",
       "82530  18.000000               0.70          41.000000   55.000000   \n",
       "82531  53.000000               1.40          36.000000  133.000000   \n",
       "82532  38.000000               7.10          35.000000   94.000000   \n",
       "82533  67.000000               0.80          32.988739   54.000000   \n",
       "82534  54.000000               0.70          41.000000   62.000000   \n",
       "82535  62.309516               0.98          32.988739   88.015873   \n",
       "82536  75.000000               0.98          32.988739   48.000000   \n",
       "82537  56.000000               2.30          33.000000   62.000000   \n",
       "82538  48.000000               2.30          36.000000   57.000000   \n",
       "82539  62.309516               0.98          32.988739   54.000000   \n",
       "82540  82.000000               1.50          36.000000   56.000000   \n",
       "\n",
       "       sodium_apache  temp_apache  wbc_apache  aids  cirrhosis  \\\n",
       "0              136.0        38.90       18.40   0.0        0.0   \n",
       "1              138.0        36.90       10.40   0.0        0.0   \n",
       "2              132.0        37.00       17.20   0.0        0.0   \n",
       "3              138.0        36.33       10.40   0.0        0.0   \n",
       "4              153.0        36.40       14.20   0.0        0.0   \n",
       "5              137.0        36.39        9.00   0.0        0.0   \n",
       "6              138.0        36.60       10.40   0.0        0.0   \n",
       "7              135.0        39.10        9.89   0.0        0.0   \n",
       "8              128.0        36.20        7.00   0.0        0.0   \n",
       "9              138.0        36.50       10.40   0.0        0.0   \n",
       "10             137.0        36.40       13.24   0.0        0.0   \n",
       "11             138.0        36.50       12.30   0.0        0.0   \n",
       "12             136.0        36.80       15.40   0.0        0.0   \n",
       "13             138.0        37.20       10.40   0.0        0.0   \n",
       "14             139.0        36.67        6.40   0.0        0.0   \n",
       "15             148.0        39.70       11.30   0.0        0.0   \n",
       "16             137.0        36.50        4.70   0.0        0.0   \n",
       "17             144.0        36.80        8.90   0.0        0.0   \n",
       "18             138.0        36.50       10.40   0.0        0.0   \n",
       "19             152.0        39.60       10.40   0.0        0.0   \n",
       "20             141.0        36.20       10.40   0.0        0.0   \n",
       "21             138.0        36.80        8.00   0.0        0.0   \n",
       "22             131.0        36.80       11.23   0.0        0.0   \n",
       "23             136.0        36.80        7.80   0.0        0.0   \n",
       "24             128.0        39.10       18.20   0.0        0.0   \n",
       "25             138.0        36.70        8.63   0.0        0.0   \n",
       "26             132.0        36.60       23.00   0.0        0.0   \n",
       "27             138.0        35.90        7.80   0.0        0.0   \n",
       "28             131.0        34.44        5.80   0.0        0.0   \n",
       "29             133.0        36.70       11.00   0.0        0.0   \n",
       "...              ...          ...         ...   ...        ...   \n",
       "82511          138.0        37.70       10.40   0.0        0.0   \n",
       "82512          138.0        36.60        5.07   0.0        0.0   \n",
       "82513          130.0        36.60        6.50   0.0        0.0   \n",
       "82514          147.0        36.70       20.70   0.0        0.0   \n",
       "82515          139.0        36.10       10.40   0.0        0.0   \n",
       "82516          135.0        36.60       10.73   0.0        0.0   \n",
       "82517          138.0        36.50       10.40   0.0        0.0   \n",
       "82518          144.0        36.70       10.40   0.0        0.0   \n",
       "82519          138.0        36.50       10.40   0.0        0.0   \n",
       "82520          136.0        36.80        5.26   0.0        0.0   \n",
       "82521          138.0        36.50       10.40   0.0        0.0   \n",
       "82522          140.0        36.70       10.40   0.0        0.0   \n",
       "82523          139.0        36.20       10.40   0.0        0.0   \n",
       "82524          138.0        36.80        7.11   0.0        0.0   \n",
       "82525          138.0        37.10       24.75   0.0        0.0   \n",
       "82526          134.0        36.50       13.91   0.0        0.0   \n",
       "82527          141.0        36.40        2.72   0.0        0.0   \n",
       "82528          146.0        36.60        7.66   0.0        0.0   \n",
       "82529          136.0        36.40       10.40   0.0        0.0   \n",
       "82530          141.0        36.30        9.68   0.0        0.0   \n",
       "82531          136.0        36.90       15.53   0.0        0.0   \n",
       "82532          140.0        36.80        8.56   0.0        0.0   \n",
       "82533          134.0        36.40       10.40   0.0        0.0   \n",
       "82534          139.0        36.60        7.14   0.0        0.0   \n",
       "82535          138.0        36.50       10.40   0.0        0.0   \n",
       "82536          138.0        36.60       10.40   0.0        0.0   \n",
       "82537          136.0        37.40        4.22   0.0        0.0   \n",
       "82538          135.0        35.80       17.55   0.0        0.0   \n",
       "82539          138.0        36.30       10.40   0.0        0.0   \n",
       "82540          132.0        36.00       24.40   0.0        0.0   \n",
       "\n",
       "       diabetes_mellitus  hepatic_failure  immunosuppression  leukemia  \\\n",
       "0                    0.0              0.0                0.0       0.0   \n",
       "1                    0.0              0.0                0.0       0.0   \n",
       "2                    0.0              0.0                0.0       0.0   \n",
       "3                    0.0              0.0                0.0       0.0   \n",
       "4                    1.0              0.0                0.0       0.0   \n",
       "5                    0.0              0.0                0.0       0.0   \n",
       "6                    1.0              0.0                0.0       0.0   \n",
       "7                    0.0              0.0                0.0       0.0   \n",
       "8                    0.0              0.0                0.0       0.0   \n",
       "9                    0.0              0.0                0.0       0.0   \n",
       "10                   0.0              0.0                0.0       0.0   \n",
       "11                   0.0              0.0                0.0       0.0   \n",
       "12                   0.0              0.0                0.0       0.0   \n",
       "13                   0.0              0.0                0.0       0.0   \n",
       "14                   0.0              0.0                0.0       0.0   \n",
       "15                   0.0              0.0                0.0       0.0   \n",
       "16                   0.0              0.0                0.0       0.0   \n",
       "17                   0.0              0.0                0.0       0.0   \n",
       "18                   0.0              0.0                0.0       0.0   \n",
       "19                   0.0              0.0                0.0       0.0   \n",
       "20                   0.0              0.0                0.0       0.0   \n",
       "21                   0.0              0.0                0.0       0.0   \n",
       "22                   0.0              0.0                0.0       0.0   \n",
       "23                   0.0              0.0                0.0       0.0   \n",
       "24                   0.0              0.0                0.0       0.0   \n",
       "25                   0.0              1.0                0.0       0.0   \n",
       "26                   0.0              0.0                0.0       0.0   \n",
       "27                   0.0              0.0                0.0       0.0   \n",
       "28                   0.0              0.0                0.0       0.0   \n",
       "29                   0.0              0.0                0.0       0.0   \n",
       "...                  ...              ...                ...       ...   \n",
       "82511                0.0              0.0                0.0       0.0   \n",
       "82512                0.0              0.0                0.0       0.0   \n",
       "82513                0.0              0.0                0.0       0.0   \n",
       "82514                0.0              0.0                0.0       0.0   \n",
       "82515                0.0              0.0                0.0       0.0   \n",
       "82516                1.0              0.0                0.0       0.0   \n",
       "82517                0.0              0.0                0.0       0.0   \n",
       "82518                0.0              0.0                0.0       0.0   \n",
       "82519                0.0              0.0                0.0       0.0   \n",
       "82520                1.0              0.0                0.0       0.0   \n",
       "82521                0.0              0.0                0.0       0.0   \n",
       "82522                1.0              0.0                0.0       0.0   \n",
       "82523                0.0              0.0                0.0       0.0   \n",
       "82524                0.0              0.0                0.0       0.0   \n",
       "82525                0.0              0.0                0.0       0.0   \n",
       "82526                0.0              0.0                0.0       0.0   \n",
       "82527                0.0              0.0                0.0       0.0   \n",
       "82528                0.0              0.0                0.0       0.0   \n",
       "82529                1.0              0.0                0.0       0.0   \n",
       "82530                0.0              0.0                0.0       0.0   \n",
       "82531                1.0              0.0                0.0       0.0   \n",
       "82532                0.0              0.0                0.0       0.0   \n",
       "82533                1.0              0.0                0.0       0.0   \n",
       "82534                0.0              0.0                0.0       0.0   \n",
       "82535                0.0              0.0                0.0       0.0   \n",
       "82536                1.0              0.0                0.0       0.0   \n",
       "82537                0.0              0.0                0.0       0.0   \n",
       "82538                1.0              0.0                0.0       0.0   \n",
       "82539                0.0              0.0                0.0       0.0   \n",
       "82540                0.0              0.0                0.0       0.0   \n",
       "\n",
       "       lymphoma  solid_tumor_with_metastasis  hospital_death  \n",
       "0           0.0                          0.0               0  \n",
       "1           0.0                          0.0               0  \n",
       "2           0.0                          0.0               0  \n",
       "3           0.0                          0.0               0  \n",
       "4           0.0                          0.0               0  \n",
       "5           0.0                          0.0               0  \n",
       "6           0.0                          0.0               0  \n",
       "7           0.0                          0.0               0  \n",
       "8           0.0                          0.0               0  \n",
       "9           0.0                          0.0               0  \n",
       "10          0.0                          0.0               0  \n",
       "11          0.0                          0.0               0  \n",
       "12          0.0                          0.0               0  \n",
       "13          0.0                          0.0               0  \n",
       "14          0.0                          0.0               0  \n",
       "15          0.0                          0.0               0  \n",
       "16          0.0                          0.0               0  \n",
       "17          0.0                          0.0               0  \n",
       "18          0.0                          0.0               0  \n",
       "19          0.0                          0.0               0  \n",
       "20          0.0                          0.0               0  \n",
       "21          0.0                          0.0               0  \n",
       "22          0.0                          0.0               0  \n",
       "23          0.0                          0.0               0  \n",
       "24          0.0                          0.0               0  \n",
       "25          0.0                          0.0               0  \n",
       "26          0.0                          0.0               0  \n",
       "27          0.0                          0.0               0  \n",
       "28          0.0                          0.0               0  \n",
       "29          0.0                          0.0               0  \n",
       "...         ...                          ...             ...  \n",
       "82511       0.0                          0.0               0  \n",
       "82512       0.0                          0.0               0  \n",
       "82513       0.0                          0.0               0  \n",
       "82514       0.0                          0.0               0  \n",
       "82515       0.0                          0.0               0  \n",
       "82516       0.0                          0.0               0  \n",
       "82517       0.0                          0.0               0  \n",
       "82518       0.0                          0.0               0  \n",
       "82519       0.0                          0.0               1  \n",
       "82520       0.0                          0.0               0  \n",
       "82521       0.0                          0.0               0  \n",
       "82522       0.0                          0.0               0  \n",
       "82523       0.0                          0.0               0  \n",
       "82524       0.0                          0.0               1  \n",
       "82525       0.0                          0.0               0  \n",
       "82526       0.0                          0.0               0  \n",
       "82527       0.0                          0.0               0  \n",
       "82528       0.0                          0.0               0  \n",
       "82529       0.0                          0.0               0  \n",
       "82530       0.0                          0.0               0  \n",
       "82531       0.0                          0.0               0  \n",
       "82532       0.0                          0.0               0  \n",
       "82533       0.0                          0.0               0  \n",
       "82534       0.0                          0.0               0  \n",
       "82535       0.0                          0.0               0  \n",
       "82536       0.0                          1.0               0  \n",
       "82537       0.0                          0.0               0  \n",
       "82538       0.0                          0.0               0  \n",
       "82539       0.0                          0.0               0  \n",
       "82540       0.0                          0.0               0  \n",
       "\n",
       "[82541 rows x 16 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_folds[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cost-sensitive  Naive Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fuente  -> https://machinelearningmastery.com/naive-classifiers-imbalanced-classification-metrics/\n",
    "model_NC = []\n",
    "\n",
    "for i in range(len(train_folds)):\n",
    "    model =  GaussianNB()\n",
    "    model.fit(train_folds[i].drop(columns=[\"hospital_death\"]), train_folds[i][\"hospital_death\"])\n",
    "    joblib.dump(model, 'NC'+ str(i) +'.pkl') \n",
    "    model_NC.append(model)\n",
    "    predict = model.predict(test_folds[i].drop(columns=[\"hospital_death\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cost-sensitive  RANDOM FOREST"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best: 0.729935 using {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.721980 (0.012175) with: {'max_features': 'sqrt', 'n_estimators': 10}\n",
      "0.728531 (0.011239) with: {'max_features': 'sqrt', 'n_estimators': 100}\n",
      "0.729935 (0.009177) with: {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.711452 (0.011439) with: {'max_features': 'log2', 'n_estimators': 10}\n",
      "0.724414 (0.010304) with: {'max_features': 'log2', 'n_estimators': 100}\n",
      "0.729514 (0.010138) with: {'max_features': 'log2', 'n_estimators': 1000}\n",
      "Best: 0.733072 using {'max_features': 'log2', 'n_estimators': 1000}\n",
      "0.723853 (0.010882) with: {'max_features': 'sqrt', 'n_estimators': 10}\n",
      "0.731293 (0.011040) with: {'max_features': 'sqrt', 'n_estimators': 100}\n",
      "0.732510 (0.008407) with: {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.714774 (0.009431) with: {'max_features': 'log2', 'n_estimators': 10}\n",
      "0.725772 (0.008546) with: {'max_features': 'log2', 'n_estimators': 100}\n",
      "0.733072 (0.008220) with: {'max_features': 'log2', 'n_estimators': 1000}\n",
      "Best: 0.736909 using {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.727455 (0.007447) with: {'max_features': 'sqrt', 'n_estimators': 10}\n",
      "0.736488 (0.006366) with: {'max_features': 'sqrt', 'n_estimators': 100}\n",
      "0.736909 (0.004401) with: {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.720296 (0.008515) with: {'max_features': 'log2', 'n_estimators': 10}\n",
      "0.730404 (0.005323) with: {'max_features': 'log2', 'n_estimators': 100}\n",
      "0.736394 (0.005441) with: {'max_features': 'log2', 'n_estimators': 1000}\n",
      "Best: 0.735365 using {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.721466 (0.006484) with: {'max_features': 'sqrt', 'n_estimators': 10}\n",
      "0.734101 (0.005840) with: {'max_features': 'sqrt', 'n_estimators': 100}\n",
      "0.735365 (0.004784) with: {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.717488 (0.009564) with: {'max_features': 'log2', 'n_estimators': 10}\n",
      "0.728439 (0.006392) with: {'max_features': 'log2', 'n_estimators': 100}\n",
      "0.734850 (0.006088) with: {'max_features': 'log2', 'n_estimators': 1000}\n",
      "Best: 0.732697 using {'max_features': 'log2', 'n_estimators': 1000}\n",
      "0.722167 (0.007416) with: {'max_features': 'sqrt', 'n_estimators': 10}\n",
      "0.730919 (0.007074) with: {'max_features': 'sqrt', 'n_estimators': 100}\n",
      "0.732603 (0.005242) with: {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.719312 (0.009057) with: {'max_features': 'log2', 'n_estimators': 10}\n",
      "0.726052 (0.006590) with: {'max_features': 'log2', 'n_estimators': 100}\n",
      "0.732697 (0.005277) with: {'max_features': 'log2', 'n_estimators': 1000}\n",
      "Best: 0.735027 using {'max_features': 'log2', 'n_estimators': 1000}\n",
      "0.727400 (0.012169) with: {'max_features': 'sqrt', 'n_estimators': 10}\n",
      "0.732032 (0.012285) with: {'max_features': 'sqrt', 'n_estimators': 100}\n",
      "0.734138 (0.009788) with: {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.720475 (0.013186) with: {'max_features': 'log2', 'n_estimators': 10}\n",
      "0.727915 (0.012944) with: {'max_features': 'log2', 'n_estimators': 100}\n",
      "0.735027 (0.010378) with: {'max_features': 'log2', 'n_estimators': 1000}\n",
      "Best: 0.733763 using {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.730114 (0.011460) with: {'max_features': 'sqrt', 'n_estimators': 10}\n",
      "0.732172 (0.011287) with: {'max_features': 'sqrt', 'n_estimators': 100}\n",
      "0.733763 (0.008893) with: {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.721457 (0.015138) with: {'max_features': 'log2', 'n_estimators': 10}\n",
      "0.725996 (0.010593) with: {'max_features': 'log2', 'n_estimators': 100}\n",
      "0.733716 (0.008766) with: {'max_features': 'log2', 'n_estimators': 1000}\n",
      "Best: 0.731798 using {'max_features': 'log2', 'n_estimators': 1000}\n",
      "0.721786 (0.007996) with: {'max_features': 'sqrt', 'n_estimators': 10}\n",
      "0.728289 (0.009137) with: {'max_features': 'sqrt', 'n_estimators': 100}\n",
      "0.731705 (0.007708) with: {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.718370 (0.005469) with: {'max_features': 'log2', 'n_estimators': 10}\n",
      "0.725435 (0.007953) with: {'max_features': 'log2', 'n_estimators': 100}\n",
      "0.731798 (0.007025) with: {'max_features': 'log2', 'n_estimators': 1000}\n",
      "Best: 0.733904 using {'max_features': 'log2', 'n_estimators': 1000}\n",
      "0.729365 (0.008045) with: {'max_features': 'sqrt', 'n_estimators': 10}\n",
      "0.731471 (0.005676) with: {'max_features': 'sqrt', 'n_estimators': 100}\n",
      "0.733296 (0.006861) with: {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.721833 (0.004471) with: {'max_features': 'log2', 'n_estimators': 10}\n",
      "0.728009 (0.004566) with: {'max_features': 'log2', 'n_estimators': 100}\n",
      "0.733904 (0.005707) with: {'max_features': 'log2', 'n_estimators': 1000}\n",
      "Best: 0.732921 using {'max_features': 'log2', 'n_estimators': 1000}\n",
      "0.726510 (0.007459) with: {'max_features': 'sqrt', 'n_estimators': 10}\n",
      "0.730301 (0.004290) with: {'max_features': 'sqrt', 'n_estimators': 100}\n",
      "0.731845 (0.005392) with: {'max_features': 'sqrt', 'n_estimators': 1000}\n",
      "0.721037 (0.008480) with: {'max_features': 'log2', 'n_estimators': 10}\n",
      "0.725996 (0.003134) with: {'max_features': 'log2', 'n_estimators': 100}\n",
      "0.732921 (0.005100) with: {'max_features': 'log2', 'n_estimators': 1000}\n"
     ]
    }
   ],
   "source": [
    "model_RF = []\n",
    "\n",
    "for i in range(len(train_folds)):\n",
    "    model = RandomForestClassifier(max_depth=3, random_state=0, class_weight='balanced')\n",
    "    n_estimators = [10, 100, 1000]\n",
    "    max_features = ['sqrt', 'log2']\n",
    "    # define grid search\n",
    "    grid = dict(n_estimators=n_estimators,max_features=max_features)\n",
    "    cv = RepeatedStratifiedKFold(n_splits=3, n_repeats=3, random_state=1)\n",
    "    grid_search = GridSearchCV(estimator=model, param_grid=grid, n_jobs=-1, cv=cv, scoring='recall')\n",
    "    grid_result = grid_search.fit((train_folds[i]).drop(columns=[\"hospital_death\"]), train_folds[i][\"hospital_death\"])\n",
    "    print(\"Best: %f using %s\" % (grid_result.best_score_, grid_result.best_params_))\n",
    "    means = grid_result.cv_results_['mean_test_score']\n",
    "    stds = grid_result.cv_results_['std_test_score']\n",
    "    params = grid_result.cv_results_['params']\n",
    "    for mean, stdev, param in zip(means, stds, params):\n",
    "        print(\"%f (%f) with: %r\" % (mean, stdev, param))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cost-sensitive  SUPPORT VECTOR MACHINE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Recall 9 fold: 0.765963\n",
      "mean Recall : 0.7659625253610216\n"
     ]
    }
   ],
   "source": [
    "#fuente ->  https://machinelearningmastery.com/cost-sensitive-svm-for-imbalanced-classification/\n",
    "model_SVM = []\n",
    "\n",
    "for i in range(9, len(train_folds)):\n",
    "    model = SVC(gamma='scale', class_weight='balanced')\n",
    "    model.fit(train_folds[i].drop(columns=[\"hospital_death\"]), train_folds[i][\"hospital_death\"])\n",
    "    joblib.dump(model, 'SVM'+ str(i) +'.pkl') \n",
    "    model_SVM.append(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cost-sensitive  LOGISTIC REGRESSION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fuente -> https://machinelearningmastery.com/cost-sensitive-logistic-regression/\n",
    "model_LR = []\n",
    "\n",
    "model = LogisticRegression(solver='lbfgs', class_weight='balanced')\n",
    "for i in range(len(train_folds)):\n",
    "    model.fit(train_folds[i].drop(columns=[\"hospital_death\"]), train_folds[i][\"hospital_death\"])\n",
    "    joblib.dump(model, 'LR'+ str(i) +'.pkl')\n",
    "    model_LR.append(model)\n",
    "    predict = model.predict(test_folds[i].drop(columns=[\"hospital_death\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Decision Tree Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_DT= []\n",
    "\n",
    "for i in range(len(train_folds)):\n",
    "    model = DecisionTreeClassifier(class_weight='balanced')\n",
    "    model.fit(train_folds[i].drop(columns=[\"hospital_death\"]), train_folds[i][\"hospital_death\"])\n",
    "    joblib.dump(model, 'DT'+ str(i) +'.pkl') \n",
    "    model_DT.append(model)\n",
    "    predict = model.predict(test_folds[i].drop(columns=[\"hospital_death\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# knn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Recall 0 fold: 0.996301\n",
      "Recall 1 fold: 0.998329\n",
      "Recall 2 fold: 0.996301\n",
      "Recall 3 fold: 0.997494\n",
      "Recall 4 fold: 0.995943\n",
      "Recall 5 fold: 0.997375\n",
      "Recall 6 fold: 0.999045\n",
      "Recall 7 fold: 0.998210\n",
      "Recall 8 fold: 0.998568\n",
      "Recall 9 fold: 0.997016\n",
      "mean Recall : 0.9974581811956872\n"
     ]
    }
   ],
   "source": [
    "model_KKN = []\n",
    "recall_KKN = []\n",
    "\n",
    "for i in range(len(train_folds)):\n",
    "    model = KNeighborsClassifier(n_neighbors=30)\n",
    "    n_neighbors = range(1, 10, 3)\n",
    "    weights = ['uniform', 'distance']\n",
    "    metric = ['euclidean', 'manhattan', 'minkowski']\n",
    "    #grid = dict(n_neighbors=n_neighbors,weights=weights,metric=metric)\n",
    "    #grid_search = GridSearchCV(estimator=model, param_grid=grid, n_jobs=-1, scoring='recall',error_score=0)\n",
    "    #grid_result = grid_search.fit(train_folds[i].drop(columns=[\"hospital_death\"]), train_folds[i][\"hospital_death\"])\n",
    "    model.fit(train_folds[i].drop(columns=[\"hospital_death\"]), train_folds[i][\"hospital_death\"])\n",
    "    model_KKN.append(model)\n",
    "    joblib.dump(model, 'KNN'+ str(i) +'.pkl') \n",
    "    # summarize results\n",
    "    \"\"\"\n",
    "    print(\"Best: %f using %s\" % (grid_result.best_score_, grid_result.best_params_))\n",
    "    means = grid_result.cv_results_['mean_test_score']\n",
    "    stds = grid_result.cv_results_['std_test_score']\n",
    "    params = grid_result.cv_results_['params']\n",
    "    for mean, stdev, param in zip(means, stds, params):\n",
    "        print(\"%f (%f) with: %r\" % (mean, stdev, param))\n",
    "    \"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Stochastic Gradient Boosting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_SGB = []\n",
    "\n",
    "for i in range(len(train_folds)):\n",
    "    model = GradientBoostingClassifier()\n",
    "    n_estimators = [10, 100, 1000]\n",
    "    learning_rate = [0.001, 0.01, 0.1]\n",
    "    subsample = [0.5, 0.7, 1.0]\n",
    "    max_depth = [3, 7, 9]\n",
    "    # define grid search\n",
    "    grid = dict(learning_rate=learning_rate, n_estimators=n_estimators, subsample=subsample, max_depth=max_depth)\n",
    "    cv = RepeatedStratifiedKFold(n_splits=3, n_repeats=3, random_state=1)\n",
    "    grid_search = GridSearchCV(estimator=model, param_grid=grid, n_jobs=-1, cv=cv, scoring='accuracy',error_score=0)\n",
    "    grid_result = grid_search.fit((train_folds[i]).drop(columns=[\"hospital_death\"]), train_folds[i][\"hospital_death\"])\n",
    "    # summarize results\n",
    "    print(\"Best: %f using %s\" % (grid_result.best_score_, grid_result.best_params_))\n",
    "    means = grid_result.cv_results_['mean_test_score']\n",
    "    stds = grid_result.cv_results_['std_test_score']\n",
    "    params = grid_result.cv_results_['params']\n",
    "    for mean, stdev, param in zip(means, stds, params):\n",
    "        print(\"%f (%f) with: %r\" % (mean, stdev, param))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cost-Sensitive Neural Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/\n",
    "# https://machinelearningmastery.com/grid-search-hyperparameters-deep-learning-models-python-keras/\n",
    "# https://machinelearningmastery.com/cost-sensitive-neural-network-for-imbalanced-classification/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import keras\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "from keras.wrappers.scikit_learn import KerasClassifier\n",
    "from keras import backend as K\n",
    "\n",
    "def recall_m(y_true, y_pred):\n",
    "        true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))\n",
    "        possible_positives = K.sum(K.round(K.clip(y_true, 0, 1)))\n",
    "        recall = true_positives / (possible_positives + K.epsilon())\n",
    "        return recall\n",
    "\n",
    "def create_model(optimizer='adam', neurons=80):\n",
    "    # define the keras model\n",
    "    model = Sequential()\n",
    "    model.add(Dense(180, input_dim=15, activation='relu'))\n",
    "    model.add(Dense(neurons, activation='relu'))\n",
    "    model.add(Dense(1, activation='sigmoid'))\n",
    "    # compile the keras model\n",
    "    model.compile(loss='binary_crossentropy', optimizer=optimizer, metrics=[\"accuracy\"])\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /media/mdleiton/Respaldo/repositorios/env/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:66: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
      "\n",
      "WARNING:tensorflow:From /media/mdleiton/Respaldo/repositorios/env/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:541: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
      "\n",
      "WARNING:tensorflow:From /media/mdleiton/Respaldo/repositorios/env/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:4432: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
      "\n",
      "WARNING:tensorflow:From /media/mdleiton/Respaldo/repositorios/env/lib/python3.5/site-packages/keras/optimizers.py:793: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.\n",
      "\n",
      "WARNING:tensorflow:From /media/mdleiton/Respaldo/repositorios/env/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:3657: The name tf.log is deprecated. Please use tf.math.log instead.\n",
      "\n",
      "WARNING:tensorflow:From /media/mdleiton/Respaldo/repositorios/env/lib/python3.5/site-packages/tensorflow/python/ops/nn_impl.py:180: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
      "WARNING:tensorflow:From /media/mdleiton/Respaldo/repositorios/env/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:1033: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.\n",
      "\n",
      "Recall 0 fold: 0.111111\n",
      "Best: 0.915909 using {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "0.915896 (0.008760) with: {'batch_size': 2000, 'neurons': 60, 'epochs': 20}\n",
      "0.915909 (0.008865) with: {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "Recall 1 fold: 0.070707\n",
      "Best: 0.916030 using {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "0.915884 (0.008820) with: {'batch_size': 2000, 'neurons': 60, 'epochs': 20}\n",
      "0.916030 (0.008889) with: {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "Recall 2 fold: 0.089646\n",
      "Best: 0.915896 using {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "0.915448 (0.008321) with: {'batch_size': 2000, 'neurons': 60, 'epochs': 20}\n",
      "0.915896 (0.009117) with: {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "Recall 3 fold: 0.080910\n",
      "Best: 0.916006 using {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "0.915885 (0.007049) with: {'batch_size': 2000, 'neurons': 60, 'epochs': 20}\n",
      "0.916006 (0.007303) with: {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "Recall 4 fold: 0.142857\n",
      "Best: 0.915691 using {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "0.915582 (0.010326) with: {'batch_size': 2000, 'neurons': 60, 'epochs': 20}\n",
      "0.915691 (0.009908) with: {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "Recall 5 fold: 0.065740\n",
      "Best: 0.916006 using {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "0.915788 (0.010035) with: {'batch_size': 2000, 'neurons': 60, 'epochs': 20}\n",
      "0.916006 (0.010105) with: {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "Recall 6 fold: 0.068268\n",
      "Best: 0.915679 using {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "0.915594 (0.004601) with: {'batch_size': 2000, 'neurons': 60, 'epochs': 20}\n",
      "0.915679 (0.004311) with: {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "Recall 7 fold: 0.042984\n",
      "Best: 0.915922 using {'batch_size': 2000, 'neurons': 60, 'epochs': 20}\n",
      "0.915922 (0.007350) with: {'batch_size': 2000, 'neurons': 60, 'epochs': 20}\n",
      "0.915813 (0.007088) with: {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "Recall 8 fold: 0.060606\n",
      "Best: 0.916019 using {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "0.915861 (0.007017) with: {'batch_size': 2000, 'neurons': 60, 'epochs': 20}\n",
      "0.916019 (0.007153) with: {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "Recall 9 fold: 0.054293\n",
      "Best: 0.916079 using {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n",
      "0.915982 (0.006793) with: {'batch_size': 2000, 'neurons': 60, 'epochs': 20}\n",
      "0.916079 (0.006889) with: {'batch_size': 2000, 'neurons': 80, 'epochs': 20}\n"
     ]
    }
   ],
   "source": [
    "model_NR = []\n",
    "recall_NR = []\n",
    "model = KerasClassifier(build_fn=create_model, verbose=0)\n",
    "batch_size = [2000]\n",
    "neurons = [60,80]\n",
    "epochs = [20]\n",
    "param_grid = dict(batch_size=batch_size, epochs=epochs, neurons=neurons)\n",
    "grid = GridSearchCV(estimator=model, param_grid=param_grid, n_jobs=-1, cv=3)\n",
    "for i in range(len(train_folds)):\n",
    "    grid_result = grid.fit(train_folds[i].drop(columns=[\"hospital_death\"]), train_folds[i][\"hospital_death\"], class_weight='balanced')\n",
    "    # summarize results\n",
    "    predict = grid_result.predict(test_folds[i].drop(columns=[\"hospital_death\"]))\n",
    "    recall = recall_score(test_folds[i][\"hospital_death\"], predict, average='binary')\n",
    "    print('Recall %d fold: %f' % (i , recall))\n",
    "    recall_NR.append(recall)\n",
    "    print(\"Best: %f using %s\" % (grid_result.best_score_, grid_result.best_params_))\n",
    "    means = grid_result.cv_results_['mean_test_score']\n",
    "    stds = grid_result.cv_results_['std_test_score']\n",
    "    params = grid_result.cv_results_['params']\n",
    "    for mean, stdev, param in zip(means, stds, params):\n",
    "        print(\"%f (%f) with: %r\" % (mean, stdev, param))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_SVM = []\n",
    "for i in range(len(train_folds)):\n",
    "    model = joblib.load('SVM' + str(i) + '.pkl')\n",
    "    model_SVM.append(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Stacking voting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Modelo stack: 0guardado\n",
      "Modelo stack: 1guardado\n",
      "Modelo stack: 2guardado\n"
     ]
    }
   ],
   "source": [
    "estimators = [\n",
    "    ('nv', model_NC[0]),\n",
    "    ('rf', model_RF[0]),\n",
    "    ('svm',model_SVM[0]),\n",
    "     ('lr',model_LR[0]),\n",
    "     ('dt',model_DT[0]),\n",
    "     ('knn',model_KKN[0]),\n",
    "     ('sgb',model_SGB[0]),\n",
    "]\n",
    "model_SC = []\n",
    "\n",
    "for i in range(len(train_folds)):\n",
    "    model = clf = StackingClassifier(estimators=estimators, final_estimator=LogisticRegression())\n",
    "    model.fit(train_folds[i].drop(columns=[\"hospital_death\"]), train_folds[i][\"hospital_death\"])\n",
    "    joblib.dump(model, 'stack'+ str(i) +'.pkl') \n",
    "    model_SC.append(model)\n",
    "    print(\"Modelo stack: \" + str(i) + \"guardado\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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