XGB.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.preprocessing import LabelEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('tripadvisor.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>User country</th>\n",
       "      <th>Nr. reviews</th>\n",
       "      <th>Nr. hotel reviews</th>\n",
       "      <th>Helpful votes</th>\n",
       "      <th>Score</th>\n",
       "      <th>Period of stay</th>\n",
       "      <th>Traveler type</th>\n",
       "      <th>Swimming Pool</th>\n",
       "      <th>Exercise Room</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Yoga Classes</th>\n",
       "      <th>Club</th>\n",
       "      <th>Free Wifi</th>\n",
       "      <th>Hotel name</th>\n",
       "      <th>Hotel stars</th>\n",
       "      <th>Nr. rooms</th>\n",
       "      <th>User continent</th>\n",
       "      <th>Member years</th>\n",
       "      <th>Review month</th>\n",
       "      <th>Review weekday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>USA</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>Dec-Feb</td>\n",
       "      <td>Friends</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Circus Circus Hotel &amp; Casino Las Vegas</td>\n",
       "      <td>3</td>\n",
       "      <td>3773</td>\n",
       "      <td>North America</td>\n",
       "      <td>9</td>\n",
       "      <td>January</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>USA</td>\n",
       "      <td>119</td>\n",
       "      <td>21</td>\n",
       "      <td>75</td>\n",
       "      <td>3</td>\n",
       "      <td>Dec-Feb</td>\n",
       "      <td>Business</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Circus Circus Hotel &amp; Casino Las Vegas</td>\n",
       "      <td>3</td>\n",
       "      <td>3773</td>\n",
       "      <td>North America</td>\n",
       "      <td>3</td>\n",
       "      <td>January</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>USA</td>\n",
       "      <td>36</td>\n",
       "      <td>9</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>Mar-May</td>\n",
       "      <td>Families</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Circus Circus Hotel &amp; Casino Las Vegas</td>\n",
       "      <td>3</td>\n",
       "      <td>3773</td>\n",
       "      <td>North America</td>\n",
       "      <td>2</td>\n",
       "      <td>February</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>UK</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "      <td>Mar-May</td>\n",
       "      <td>Friends</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Circus Circus Hotel &amp; Casino Las Vegas</td>\n",
       "      <td>3</td>\n",
       "      <td>3773</td>\n",
       "      <td>Europe</td>\n",
       "      <td>6</td>\n",
       "      <td>February</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Canada</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>Mar-May</td>\n",
       "      <td>Solo</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Circus Circus Hotel &amp; Casino Las Vegas</td>\n",
       "      <td>3</td>\n",
       "      <td>3773</td>\n",
       "      <td>North America</td>\n",
       "      <td>7</td>\n",
       "      <td>March</td>\n",
       "      <td>Tuesday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  User country  Nr. reviews  Nr. hotel reviews  Helpful votes  Score  \\\n",
       "0          USA           11                  4             13      5   \n",
       "1          USA          119                 21             75      3   \n",
       "2          USA           36                  9             25      5   \n",
       "3           UK           14                  7             14      4   \n",
       "4       Canada            5                  5              2      4   \n",
       "\n",
       "  Period of stay Traveler type Swimming Pool Exercise Room Basketball Court  \\\n",
       "0        Dec-Feb       Friends            NO           YES               NO   \n",
       "1        Dec-Feb      Business            NO           YES               NO   \n",
       "2        Mar-May      Families            NO           YES               NO   \n",
       "3        Mar-May       Friends            NO           YES               NO   \n",
       "4        Mar-May          Solo            NO           YES               NO   \n",
       "\n",
       "  Yoga Classes Club Free Wifi                              Hotel name  \\\n",
       "0           NO  YES       YES  Circus Circus Hotel & Casino Las Vegas   \n",
       "1           NO  YES       YES  Circus Circus Hotel & Casino Las Vegas   \n",
       "2           NO  YES       YES  Circus Circus Hotel & Casino Las Vegas   \n",
       "3           NO  YES       YES  Circus Circus Hotel & Casino Las Vegas   \n",
       "4           NO  YES       YES  Circus Circus Hotel & Casino Las Vegas   \n",
       "\n",
       "  Hotel stars  Nr. rooms User continent  Member years Review month  \\\n",
       "0           3       3773  North America             9      January   \n",
       "1           3       3773  North America             3      January   \n",
       "2           3       3773  North America             2     February   \n",
       "3           3       3773         Europe             6     February   \n",
       "4           3       3773  North America             7        March   \n",
       "\n",
       "  Review weekday  \n",
       "0       Thursday  \n",
       "1         Friday  \n",
       "2       Saturday  \n",
       "3         Friday  \n",
       "4        Tuesday  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 504 entries, 0 to 503\n",
      "Data columns (total 20 columns):\n",
      "User country         504 non-null object\n",
      "Nr. reviews          504 non-null int64\n",
      "Nr. hotel reviews    504 non-null int64\n",
      "Helpful votes        504 non-null int64\n",
      "Score                504 non-null int64\n",
      "Period of stay       504 non-null object\n",
      "Traveler type        504 non-null object\n",
      "Swimming Pool        504 non-null object\n",
      "Exercise Room        504 non-null object\n",
      "Basketball Court     504 non-null object\n",
      "Yoga Classes         504 non-null object\n",
      "Club                 504 non-null object\n",
      "Free Wifi            504 non-null object\n",
      "Hotel name           504 non-null object\n",
      "Hotel stars          504 non-null object\n",
      "Nr. rooms            504 non-null int64\n",
      "User continent       504 non-null object\n",
      "Member years         504 non-null int64\n",
      "Review month         504 non-null object\n",
      "Review weekday       504 non-null object\n",
      "dtypes: int64(6), object(14)\n",
      "memory usage: 78.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Nr. reviews</th>\n",
       "      <th>Nr. hotel reviews</th>\n",
       "      <th>Helpful votes</th>\n",
       "      <th>Score</th>\n",
       "      <th>Nr. rooms</th>\n",
       "      <th>Member years</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>504.000000</td>\n",
       "      <td>504.000000</td>\n",
       "      <td>504.000000</td>\n",
       "      <td>504.000000</td>\n",
       "      <td>504.000000</td>\n",
       "      <td>504.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>48.130952</td>\n",
       "      <td>16.023810</td>\n",
       "      <td>31.751984</td>\n",
       "      <td>4.123016</td>\n",
       "      <td>2196.380952</td>\n",
       "      <td>0.767857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>74.996426</td>\n",
       "      <td>23.957953</td>\n",
       "      <td>48.520783</td>\n",
       "      <td>1.007302</td>\n",
       "      <td>1285.476807</td>\n",
       "      <td>80.692897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>188.000000</td>\n",
       "      <td>-1806.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>826.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>23.500000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2700.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>54.250000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3025.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>775.000000</td>\n",
       "      <td>263.000000</td>\n",
       "      <td>365.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4027.000000</td>\n",
       "      <td>13.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Nr. reviews  Nr. hotel reviews  Helpful votes       Score    Nr. rooms  \\\n",
       "count   504.000000         504.000000     504.000000  504.000000   504.000000   \n",
       "mean     48.130952          16.023810      31.751984    4.123016  2196.380952   \n",
       "std      74.996426          23.957953      48.520783    1.007302  1285.476807   \n",
       "min       1.000000           0.000000       0.000000    1.000000   188.000000   \n",
       "25%      12.000000           5.000000       8.000000    4.000000   826.000000   \n",
       "50%      23.500000           9.000000      16.000000    4.000000  2700.000000   \n",
       "75%      54.250000          18.000000      35.000000    5.000000  3025.000000   \n",
       "max     775.000000         263.000000     365.000000    5.000000  4027.000000   \n",
       "\n",
       "       Member years  \n",
       "count    504.000000  \n",
       "mean       0.767857  \n",
       "std       80.692897  \n",
       "min    -1806.000000  \n",
       "25%        2.000000  \n",
       "50%        4.000000  \n",
       "75%        6.000000  \n",
       "max       13.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# As we know member years cannot be less than 0 so,\n",
    "df=df[df['Member years']>=0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Nr. reviews</th>\n",
       "      <th>Nr. hotel reviews</th>\n",
       "      <th>Helpful votes</th>\n",
       "      <th>Score</th>\n",
       "      <th>Nr. rooms</th>\n",
       "      <th>Member years</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>503.000000</td>\n",
       "      <td>503.000000</td>\n",
       "      <td>503.000000</td>\n",
       "      <td>503.000000</td>\n",
       "      <td>503.000000</td>\n",
       "      <td>503.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>48.192843</td>\n",
       "      <td>16.037773</td>\n",
       "      <td>31.783300</td>\n",
       "      <td>4.121272</td>\n",
       "      <td>2195.013917</td>\n",
       "      <td>4.359841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>75.058202</td>\n",
       "      <td>23.979751</td>\n",
       "      <td>48.563988</td>\n",
       "      <td>1.007544</td>\n",
       "      <td>1286.389759</td>\n",
       "      <td>2.928725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>188.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>826.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>24.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2700.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>54.500000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3025.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>775.000000</td>\n",
       "      <td>263.000000</td>\n",
       "      <td>365.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4027.000000</td>\n",
       "      <td>13.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Nr. reviews  Nr. hotel reviews  Helpful votes       Score    Nr. rooms  \\\n",
       "count   503.000000         503.000000     503.000000  503.000000   503.000000   \n",
       "mean     48.192843          16.037773      31.783300    4.121272  2195.013917   \n",
       "std      75.058202          23.979751      48.563988    1.007544  1286.389759   \n",
       "min       1.000000           0.000000       0.000000    1.000000   188.000000   \n",
       "25%      12.000000           5.000000       8.000000    4.000000   826.000000   \n",
       "50%      24.000000           9.000000      16.000000    4.000000  2700.000000   \n",
       "75%      54.500000          18.000000      35.000000    5.000000  3025.000000   \n",
       "max     775.000000         263.000000     365.000000    5.000000  4027.000000   \n",
       "\n",
       "       Member years  \n",
       "count    503.000000  \n",
       "mean       4.359841  \n",
       "std        2.928725  \n",
       "min        0.000000  \n",
       "25%        2.000000  \n",
       "50%        4.000000  \n",
       "75%        6.000000  \n",
       "max       13.000000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1122.38x1080 with 42 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df, hue='Score',size=2.5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "y=df.Score\n",
    "X=df.drop(['Score','Hotel name'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=pd.get_dummies(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "import xgboost as xgb\n",
    "from sklearn.model_selection import GridSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X,y, test_size=0.3, random_state=1234)\n",
    "dtrain = xgb.DMatrix(X_train,label=y_train)\n",
    "dtest = xgb.DMatrix(X_test,label=y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/khandalaryan/anaconda3/lib/python3.6/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.\n",
      "  if diff:\n",
      "/home/khandalaryan/anaconda3/lib/python3.6/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.\n",
      "  if diff:\n",
      "/home/khandalaryan/anaconda3/lib/python3.6/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.\n",
      "  if diff:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=None, error_score='raise',\n",
       "       estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
       "       colsample_bytree=1, early_stopping_rounds=10, gamma=0,\n",
       "       learning_rate=0.1, max_delta_step=0, max_depth=3,\n",
       "       metrics=['mlogloss'], min_child_weight=1, missing=None,\n",
       "       n_estimators=100, n_jobs=1, nthread=None, num_boost_round=20,\n",
       "       objective='multi:softmax', random_state=0, reg_alpha=0,\n",
       "       reg_lambda=1, scale_pos_weight=1, seed=None, silent=True,\n",
       "       subsample=1),\n",
       "       fit_params=None, iid=True, n_jobs=1,\n",
       "       param_grid={'n_estimators': array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), 'max_depth': array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), 'learning_rate': [0.01], 'colsample_bytree': array([0.1, 0.2, 0.3, 0.4])},\n",
       "       pre_dispatch='2*n_jobs', refit=True, return_train_score='warn',\n",
       "       scoring=None, verbose=0)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params={\n",
    "    'n_estimators':np.arange(0,10,1),\n",
    "    'max_depth':np.arange(0,10,1),\n",
    "    'learning_rate':[0.01],\n",
    "    'colsample_bytree':np.arange(0.1,0.5,0.1)\n",
    "}\n",
    "\n",
    "clf = xgb.XGBClassifier(objective='multi:softmax',early_stopping_rounds=10,num_boost_round=20,metrics=['mlogloss'])\n",
    "gridser = GridSearchCV(clf,params)\n",
    "gridser.fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'colsample_bytree': 0.2,\n",
       " 'learning_rate': 0.01,\n",
       " 'max_depth': 3,\n",
       " 'n_estimators': 7}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gridser.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 0 pruned nodes, max_depth=0\n",
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      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 16 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 0 pruned nodes, max_depth=0\n",
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      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 24 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 16 extra nodes, 0 pruned nodes, max_depth=4\n",
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      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 6 extra nodes, 0 pruned nodes, max_depth=3\n",
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      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 16 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 16 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 22 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 0 pruned nodes, max_depth=0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 4 extra nodes, 0 pruned nodes, max_depth=2\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 24 extra nodes, 0 pruned nodes, max_depth=4\n",
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      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 14 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 20 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 24 extra nodes, 0 pruned nodes, max_depth=4\n",
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      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 20 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 0 pruned nodes, max_depth=0\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 16 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 20 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 20 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 0 pruned nodes, max_depth=0\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 18 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 12 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 22 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 24 extra nodes, 0 pruned nodes, max_depth=4\n",
      "[20:13:10] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 20 extra nodes, 0 pruned nodes, max_depth=4\n"
     ]
    }
   ],
   "source": [
    "params={'colsample_bytree': 0.2,\n",
    " 'learning_rate': 0.01,\n",
    " 'max_depth': 4,\n",
    " 'n_estimators': 3,\n",
    " 'objective':'multi:softmax',\n",
    " 'early_stopping_rounds':10,\n",
    " 'num_boost_round':20,\n",
    " 'metrics':'mlogloss',\n",
    "       'num_class':6}\n",
    "bst = xgb.train(params,dtrain,20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "preds=bst.predict(dtest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "pr=(np.array(preds).reshape(-1,1))\n",
    "te=(np.array(y_test).reshape(-1,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "l=0\n",
    "for i in range(len(preds)):\n",
    "    if(pr[i]==te[i]):\n",
    "        l=l+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.4900662251655629\n"
     ]
    }
   ],
   "source": [
    "print(l/151)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "code_show_err=false; \n",
       "function code_toggle_err() {\n",
       " if (code_show_err){\n",
       " $('div.output_stderr').hide();\n",
       " } else {\n",
       " $('div.output_stderr').show();\n",
       " }\n",
       " code_show_err = !code_show_err\n",
       "} \n",
       "$( document ).ready(code_toggle_err);\n",
       "</script>\n",
       ""
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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