8_catboost.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd \n",
    "import seaborn as sns\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "\n",
    "data = pd.read_csv('./train.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>ClientPeriod</th>\n",
       "      <th>MonthlySpending</th>\n",
       "      <th>TotalSpent</th>\n",
       "      <th>Sex</th>\n",
       "      <th>IsSeniorCitizen</th>\n",
       "      <th>HasPartner</th>\n",
       "      <th>HasChild</th>\n",
       "      <th>HasPhoneService</th>\n",
       "      <th>HasMultiplePhoneNumbers</th>\n",
       "      <th>HasInternetService</th>\n",
       "      <th>HasOnlineSecurityService</th>\n",
       "      <th>HasOnlineBackup</th>\n",
       "      <th>HasDeviceProtection</th>\n",
       "      <th>HasTechSupportAccess</th>\n",
       "      <th>HasOnlineTV</th>\n",
       "      <th>HasMovieSubscription</th>\n",
       "      <th>HasContractPhone</th>\n",
       "      <th>IsBillingPaperless</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>22</td>\n",
       "      <td>19.05</td>\n",
       "      <td>454.05</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>47</td>\n",
       "      <td>78.90</td>\n",
       "      <td>3650.35</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4623</th>\n",
       "      <td>37</td>\n",
       "      <td>104.50</td>\n",
       "      <td>3778</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>29</td>\n",
       "      <td>98.60</td>\n",
       "      <td>2933.2</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4449</th>\n",
       "      <td>19</td>\n",
       "      <td>100.95</td>\n",
       "      <td>1875.55</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2921</th>\n",
       "      <td>1</td>\n",
       "      <td>54.50</td>\n",
       "      <td>54.5</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4579</th>\n",
       "      <td>1</td>\n",
       "      <td>19.25</td>\n",
       "      <td>19.25</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1186</th>\n",
       "      <td>63</td>\n",
       "      <td>104.75</td>\n",
       "      <td>6536.5</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4894</th>\n",
       "      <td>72</td>\n",
       "      <td>110.90</td>\n",
       "      <td>7922.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>No</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4778</th>\n",
       "      <td>37</td>\n",
       "      <td>92.50</td>\n",
       "      <td>3473.4</td>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ClientPeriod  MonthlySpending TotalSpent     Sex  IsSeniorCitizen  \\\n",
       "490             22            19.05     454.05  Female                0   \n",
       "289             47            78.90    3650.35    Male                0   \n",
       "4623            37           104.50       3778    Male                0   \n",
       "324             29            98.60     2933.2  Female                0   \n",
       "4449            19           100.95    1875.55    Male                0   \n",
       "2921             1            54.50       54.5  Female                0   \n",
       "4579             1            19.25      19.25  Female                0   \n",
       "1186            63           104.75     6536.5    Male                0   \n",
       "4894            72           110.90    7922.75    Male                0   \n",
       "4778            37            92.50     3473.4    Male                1   \n",
       "\n",
       "     HasPartner HasChild HasPhoneService HasMultiplePhoneNumbers  \\\n",
       "490         Yes      Yes             Yes                      No   \n",
       "289         Yes       No             Yes                     Yes   \n",
       "4623         No       No             Yes                     Yes   \n",
       "324          No       No             Yes                     Yes   \n",
       "4449        Yes      Yes             Yes                     Yes   \n",
       "2921         No      Yes             Yes                      No   \n",
       "4579        Yes      Yes             Yes                      No   \n",
       "1186         No       No             Yes                     Yes   \n",
       "4894        Yes      Yes             Yes                     Yes   \n",
       "4778        Yes       No             Yes                     Yes   \n",
       "\n",
       "     HasInternetService HasOnlineSecurityService      HasOnlineBackup  \\\n",
       "490                  No      No internet service  No internet service   \n",
       "289         Fiber optic                       No                  Yes   \n",
       "4623        Fiber optic                       No                  Yes   \n",
       "324         Fiber optic                       No                   No   \n",
       "4449        Fiber optic                       No                   No   \n",
       "2921                DSL                      Yes                   No   \n",
       "4579                 No      No internet service  No internet service   \n",
       "1186        Fiber optic                       No                  Yes   \n",
       "4894        Fiber optic                       No                  Yes   \n",
       "4778        Fiber optic                       No                   No   \n",
       "\n",
       "      HasDeviceProtection HasTechSupportAccess          HasOnlineTV  \\\n",
       "490   No internet service  No internet service  No internet service   \n",
       "289                    No                   No                   No   \n",
       "4623                   No                  Yes                  Yes   \n",
       "324                   Yes                   No                  Yes   \n",
       "4449                   No                  Yes                  Yes   \n",
       "2921                   No                  Yes                   No   \n",
       "4579  No internet service  No internet service  No internet service   \n",
       "1186                  Yes                   No                  Yes   \n",
       "4894                  Yes                  Yes                  Yes   \n",
       "4778                   No                   No                  Yes   \n",
       "\n",
       "     HasMovieSubscription HasContractPhone IsBillingPaperless  \\\n",
       "490   No internet service   Month-to-month                 No   \n",
       "289                    No         One year                Yes   \n",
       "4623                  Yes         One year                Yes   \n",
       "324                   Yes   Month-to-month                Yes   \n",
       "4449                  Yes         One year                Yes   \n",
       "2921                   No   Month-to-month                 No   \n",
       "4579  No internet service   Month-to-month                 No   \n",
       "1186                  Yes         Two year                Yes   \n",
       "4894                  Yes         Two year                 No   \n",
       "4778                  Yes   Month-to-month                Yes   \n",
       "\n",
       "                  PaymentMethod  Churn  \n",
       "490   Bank transfer (automatic)      0  \n",
       "289            Electronic check      0  \n",
       "4623    Credit card (automatic)      0  \n",
       "324     Credit card (automatic)      1  \n",
       "4449           Electronic check      1  \n",
       "2921           Electronic check      0  \n",
       "4579           Electronic check      0  \n",
       "1186  Bank transfer (automatic)      0  \n",
       "4894    Credit card (automatic)      0  \n",
       "4778           Electronic check      1  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sample(n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5282, 20)\n"
     ]
    }
   ],
   "source": [
    "print(data.shape)\n",
    "data.head()\n",
    "y=data['Churn']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ClientPeriod                0\n",
       "MonthlySpending             0\n",
       "TotalSpent                  0\n",
       "Sex                         0\n",
       "IsSeniorCitizen             0\n",
       "HasPartner                  0\n",
       "HasChild                    0\n",
       "HasPhoneService             0\n",
       "HasMultiplePhoneNumbers     0\n",
       "HasInternetService          0\n",
       "HasOnlineSecurityService    0\n",
       "HasOnlineBackup             0\n",
       "HasDeviceProtection         0\n",
       "HasTechSupportAccess        0\n",
       "HasOnlineTV                 0\n",
       "HasMovieSubscription        0\n",
       "HasContractPhone            0\n",
       "IsBillingPaperless          0\n",
       "PaymentMethod               0\n",
       "Churn                       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5282, 20)\n"
     ]
    }
   ],
   "source": [
    "data = data.replace('?', np.nan)\n",
    "data = data.dropna()\n",
    "\n",
    "print(data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ClientPeriod         int64\n",
       "MonthlySpending    float64\n",
       "TotalSpent          object\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Для вашего удобства списки с именами разных колонок\n",
    "\n",
    "# Числовые признаки\n",
    "num_cols = [\n",
    "    'ClientPeriod',\n",
    "    'MonthlySpending',\n",
    "    'TotalSpent'\n",
    "]\n",
    "\n",
    "columns = ('ClientPeriod MonthlySpending TotalSpent Sex IsSeniorCitizen IsSeniorCitizen HasPartner HasChild HasPhoneService HasMultiplePhoneNumbers HasInternetService HasOnlineSecurityService HasOnlineBackup HasDeviceProtection HasTechSupportAccess HasOnlineTV HasMovieSubscription HasContractPhone IsBillingPaperless PaymentMethod') \n",
    "# Категориальные признаки\n",
    "cat_cols = [\n",
    "    'Sex',\n",
    "    'IsSeniorCitizen',\n",
    "    'HasPartner',\n",
    "    'HasChild',\n",
    "    'HasPhoneService',\n",
    "    'HasMultiplePhoneNumbers',\n",
    "    'HasInternetService',\n",
    "    'HasOnlineSecurityService',\n",
    "    'HasOnlineBackup',\n",
    "    'HasDeviceProtection',\n",
    "    'HasTechSupportAccess',\n",
    "    'HasOnlineTV',\n",
    "    'HasMovieSubscription',\n",
    "    'HasContractPhone',\n",
    "    'IsBillingPaperless',\n",
    "    'PaymentMethod'\n",
    "]\n",
    "\n",
    "feature_cols = num_cols + cat_cols\n",
    "target_col = 'Churn'\n",
    "\n",
    "data[num_cols].dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def prepare_data(dataset):\n",
    "    data = dataset.copy()\n",
    "    data.TotalSpent.replace(to_replace=' ', value=0, inplace=True)\n",
    "    data.TotalSpent = data.TotalSpent.astype(float)\n",
    "    data['TotalSpent'] = data['TotalSpent'].dropna()\n",
    "    data['IsSeniorCitizen'] = data['IsSeniorCitizen'].astype('object')\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=prepare_data(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ClientPeriod                  int64\n",
       "MonthlySpending             float64\n",
       "TotalSpent                  float64\n",
       "Sex                          object\n",
       "IsSeniorCitizen              object\n",
       "HasPartner                   object\n",
       "HasChild                     object\n",
       "HasPhoneService              object\n",
       "HasMultiplePhoneNumbers      object\n",
       "HasInternetService           object\n",
       "HasOnlineSecurityService     object\n",
       "HasOnlineBackup              object\n",
       "HasDeviceProtection          object\n",
       "HasTechSupportAccess         object\n",
       "HasOnlineTV                  object\n",
       "HasMovieSubscription         object\n",
       "HasContractPhone             object\n",
       "IsBillingPaperless           object\n",
       "PaymentMethod                object\n",
       "Churn                         int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 582.375x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data[num_cols + [target_col]], hue='Churn');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18, 18))\n",
    "fig.subplots_adjust(hspace=0.8, wspace=0.4)\n",
    "for i, feat in enumerate(cat_cols):\n",
    "    ax = fig.add_subplot(4, 4, i+1)\n",
    "    g = sns.countplot(x=data[feat], ax=ax)\n",
    "    g.set_xticklabels(g.get_xticklabels(), rotation=30, horizontalalignment='right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\t0.74 - rate of 0\n",
      "    \t0.26 - rate of 1\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "types, frequency = np.unique(data['Churn'], return_counts=True)\n",
    "print(f\"\\t{round(frequency[0] / data['Churn'].shape[0], 2)} - rate of {types[0]}\\n\\\n",
    "    \\t{round(frequency[1] / data['Churn'].shape[0], 2)} - rate of {types[1]}\")\n",
    "\n",
    "data['Churn'].plot(kind='hist');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression, LogisticRegressionCV\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV, RandomizedSearchCV\n",
    "from sklearn.preprocessing import StandardScaler, RobustScaler, LabelEncoder, OneHotEncoder\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.metrics import roc_auc_score, make_scorer\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.compose import ColumnTransformer\n",
    "\n",
    "from sklearn import set_config\n",
    "set_config(display='diagram')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 0 ns\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "num_tranformer = StandardScaler() # нормировка\n",
    "cat_tranformer = OneHotEncoder() # кодирование категориальных признаков\n",
    "\n",
    "preprocessor = ColumnTransformer(\n",
    "    transformers=[\n",
    "        ('num', num_tranformer, num_cols),\n",
    "        ('cat', cat_tranformer, cat_cols)\n",
    "    ]\n",
    ")\n",
    "\n",
    "pipe = make_pipeline(\n",
    "    preprocessor,\n",
    "    LogisticRegression(solver='saga')\n",
    ")\n",
    "\n",
    "params = {\n",
    "    'logisticregression__C': np.logspace(-3, 7, num=20),\n",
    "    'logisticregression__penalty': ['l1', 'l2'] # добавим выбор регуляризатора\n",
    "#     \"classifier__C\": (100, 10, 1, 0.1, 0.01, 0.001),\n",
    "#     \"classifier__penalty\": [\"l1\",\"l2\"],\n",
    "}\n",
    "logit_searcher = GridSearchCV(estimator=pipe, param_grid=params, scoring='roc_auc', n_jobs=-1, cv=5, verbose=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = data[feature_cols]\n",
    "y_train = data[target_col]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 40 candidates, totalling 200 fits\n",
      "Wall time: 7.35 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\python\\python38\\lib\\site-packages\\sklearn\\linear_model\\_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\"The max_iter was reached which means \"\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>div.sk-top-container {color: black;background-color: white;}div.sk-toggleable {background-color: white;}label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.2em 0.3em;box-sizing: border-box;text-align: center;}div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}div.sk-estimator {font-family: monospace;background-color: #f0f8ff;margin: 0.25em 0.25em;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;}div.sk-estimator:hover {background-color: #d4ebff;}div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;}div.sk-item {z-index: 1;}div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;}div.sk-parallel-item {display: flex;flex-direction: column;position: relative;background-color: white;}div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}div.sk-parallel-item:only-child::after {width: 0;}div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0.2em;box-sizing: border-box;padding-bottom: 0.1em;background-color: white;position: relative;}div.sk-label label {font-family: monospace;font-weight: bold;background-color: white;display: inline-block;line-height: 1.2em;}div.sk-label-container {position: relative;z-index: 2;text-align: center;}div.sk-container {display: inline-block;position: relative;}</style><div class=\"sk-top-container\"><div class=\"sk-container\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"73baa3b3-3d68-45c7-8232-33c738e99fd3\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"73baa3b3-3d68-45c7-8232-33c738e99fd3\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=5,\n",
       "             estimator=Pipeline(steps=[('columntransformer',\n",
       "                                        ColumnTransformer(transformers=[('num',\n",
       "                                                                         StandardScaler(),\n",
       "                                                                         ['ClientPeriod',\n",
       "                                                                          'MonthlySpending',\n",
       "                                                                          'TotalSpent']),\n",
       "                                                                        ('cat',\n",
       "                                                                         OneHotEncoder(),\n",
       "                                                                         ['Sex',\n",
       "                                                                          'IsSeniorCitizen',\n",
       "                                                                          'HasPartner',\n",
       "                                                                          'HasChild',\n",
       "                                                                          'HasPhoneService',\n",
       "                                                                          'HasMultiplePhoneNumbers',\n",
       "                                                                          'HasInternetService',\n",
       "                                                                          'HasOnlineSecurityService',\n",
       "                                                                          'HasOnlineBackup...\n",
       "             param_grid={'logisticregression__C': array([1.00000000e-03, 3.35981829e-03, 1.12883789e-02, 3.79269019e-02,\n",
       "       1.27427499e-01, 4.28133240e-01, 1.43844989e+00, 4.83293024e+00,\n",
       "       1.62377674e+01, 5.45559478e+01, 1.83298071e+02, 6.15848211e+02,\n",
       "       2.06913808e+03, 6.95192796e+03, 2.33572147e+04, 7.84759970e+04,\n",
       "       2.63665090e+05, 8.85866790e+05, 2.97635144e+06, 1.00000000e+07]),\n",
       "                         'logisticregression__penalty': ['l1', 'l2']},\n",
       "             scoring='roc_auc', verbose=3)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"994c3c3e-ab2c-4ccc-a1f3-badc65dbd339\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"994c3c3e-ab2c-4ccc-a1f3-badc65dbd339\">columntransformer: ColumnTransformer</label><div class=\"sk-toggleable__content\"><pre>ColumnTransformer(transformers=[('num', StandardScaler(),\n",
       "                                 ['ClientPeriod', 'MonthlySpending',\n",
       "                                  'TotalSpent']),\n",
       "                                ('cat', OneHotEncoder(),\n",
       "                                 ['Sex', 'IsSeniorCitizen', 'HasPartner',\n",
       "                                  'HasChild', 'HasPhoneService',\n",
       "                                  'HasMultiplePhoneNumbers',\n",
       "                                  'HasInternetService',\n",
       "                                  'HasOnlineSecurityService', 'HasOnlineBackup',\n",
       "                                  'HasDeviceProtection', 'HasTechSupportAccess',\n",
       "                                  'HasOnlineTV', 'HasMovieSubscription',\n",
       "                                  'HasContractPhone', 'IsBillingPaperless',\n",
       "                                  'PaymentMethod'])])</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"d12890a2-00b8-4362-964d-9ce3c5eb33a0\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"d12890a2-00b8-4362-964d-9ce3c5eb33a0\">num</label><div class=\"sk-toggleable__content\"><pre>['ClientPeriod', 'MonthlySpending', 'TotalSpent']</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"19380746-76f9-4832-9c7c-cbdd03347bba\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"19380746-76f9-4832-9c7c-cbdd03347bba\">StandardScaler</label><div class=\"sk-toggleable__content\"><pre>StandardScaler()</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"d2d0c7ef-ef58-4741-a64a-9b007598304f\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"d2d0c7ef-ef58-4741-a64a-9b007598304f\">cat</label><div class=\"sk-toggleable__content\"><pre>['Sex', 'IsSeniorCitizen', 'HasPartner', 'HasChild', 'HasPhoneService', 'HasMultiplePhoneNumbers', 'HasInternetService', 'HasOnlineSecurityService', 'HasOnlineBackup', 'HasDeviceProtection', 'HasTechSupportAccess', 'HasOnlineTV', 'HasMovieSubscription', 'HasContractPhone', 'IsBillingPaperless', 'PaymentMethod']</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"7e977ca2-9526-40d0-9863-1685bcc90cb0\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"7e977ca2-9526-40d0-9863-1685bcc90cb0\">OneHotEncoder</label><div class=\"sk-toggleable__content\"><pre>OneHotEncoder()</pre></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"3fd7824b-7273-4bbc-ab7b-d345f03c1b68\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"3fd7824b-7273-4bbc-ab7b-d345f03c1b68\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(solver='saga')</pre></div></div></div></div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "GridSearchCV(cv=5,\n",
       "             estimator=Pipeline(steps=[('columntransformer',\n",
       "                                        ColumnTransformer(transformers=[('num',\n",
       "                                                                         StandardScaler(),\n",
       "                                                                         ['ClientPeriod',\n",
       "                                                                          'MonthlySpending',\n",
       "                                                                          'TotalSpent']),\n",
       "                                                                        ('cat',\n",
       "                                                                         OneHotEncoder(),\n",
       "                                                                         ['Sex',\n",
       "                                                                          'IsSeniorCitizen',\n",
       "                                                                          'HasPartner',\n",
       "                                                                          'HasChild',\n",
       "                                                                          'HasPhoneService',\n",
       "                                                                          'HasMultiplePhoneNumbers',\n",
       "                                                                          'HasInternetService',\n",
       "                                                                          'HasOnlineSecurityService',\n",
       "                                                                          'HasOnlineBackup...\n",
       "             param_grid={'logisticregression__C': array([1.00000000e-03, 3.35981829e-03, 1.12883789e-02, 3.79269019e-02,\n",
       "       1.27427499e-01, 4.28133240e-01, 1.43844989e+00, 4.83293024e+00,\n",
       "       1.62377674e+01, 5.45559478e+01, 1.83298071e+02, 6.15848211e+02,\n",
       "       2.06913808e+03, 6.95192796e+03, 2.33572147e+04, 7.84759970e+04,\n",
       "       2.63665090e+05, 8.85866790e+05, 2.97635144e+06, 1.00000000e+07]),\n",
       "                         'logisticregression__penalty': ['l1', 'l2']},\n",
       "             scoring='roc_auc', verbose=3)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "logit_searcher.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 0 ns\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(0.8451315975852554,\n",
       " {'logisticregression__C': 54.555947811685144,\n",
       "  'logisticregression__penalty': 'l2'})"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "logit_searcher.best_score_, logit_searcher.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from catboost import CatBoostClassifier, Pool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(data[feature_cols], data[target_col], test_size=0.1, shuffle=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<timed exec>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\python38\\lib\\site-packages\\catboost\\core.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, X, y, cat_features, text_features, embedding_features, sample_weight, baseline, use_best_model, eval_set, verbose, logging_level, plot, column_description, verbose_eval, metric_period, silent, early_stopping_rounds, save_snapshot, snapshot_file, snapshot_interval, init_model)\u001b[0m\n\u001b[0;32m   4300\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_check_is_classification_objective\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparams\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'loss_function'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4301\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 4302\u001b[1;33m         self._fit(X, y, cat_features, text_features, embedding_features, None, sample_weight, None, None, None, None, baseline, use_best_model,\n\u001b[0m\u001b[0;32m   4303\u001b[0m                   \u001b[0meval_set\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mverbose\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlogging_level\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mplot\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumn_description\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mverbose_eval\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmetric_period\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4304\u001b[0m                   silent, early_stopping_rounds, save_snapshot, snapshot_file, snapshot_interval, init_model)\n",
      "\u001b[1;32mc:\\python\\python38\\lib\\site-packages\\catboost\\core.py\u001b[0m in \u001b[0;36m_fit\u001b[1;34m(self, X, y, cat_features, text_features, embedding_features, pairs, sample_weight, group_id, group_weight, subgroup_id, pairs_weight, baseline, use_best_model, eval_set, verbose, logging_level, plot, column_description, verbose_eval, metric_period, silent, early_stopping_rounds, save_snapshot, snapshot_file, snapshot_interval, init_model)\u001b[0m\n\u001b[0;32m   1804\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1805\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0mlog_fixup\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mplot_wrapper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0m_get_train_dir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_params\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1806\u001b[1;33m             self._train(\n\u001b[0m\u001b[0;32m   1807\u001b[0m                 \u001b[0mtrain_pool\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1808\u001b[0m                 \u001b[0mtrain_params\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"eval_sets\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\python\\python38\\lib\\site-packages\\catboost\\core.py\u001b[0m in \u001b[0;36m_train\u001b[1;34m(self, train_pool, test_pool, params, allow_clear_pool, init_model)\u001b[0m\n\u001b[0;32m   1256\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1257\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_train\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtrain_pool\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtest_pool\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mallow_clear_pool\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minit_model\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1258\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_object\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_train\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrain_pool\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtest_pool\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mallow_clear_pool\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minit_model\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_object\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0minit_model\u001b[0m \u001b[1;32melse\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1259\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_set_trained_model_attributes\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1260\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m_catboost.pyx\u001b[0m in \u001b[0;36m_catboost._CatBoost._train\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32m_catboost.pyx\u001b[0m in \u001b[0;36m_catboost._CatBoost._train\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "%%time\n",
    "catboost_clf_default = CatBoostClassifier(silent=True,\n",
    "                                             cat_features=cat_cols,\n",
    "                                             task_type='GPU')\n",
    "\n",
    "catboost_clf_default.fit(X_train, y_train)\n",
    "\n",
    "y_train_predicted = catboost_clf_default.predict_proba(X_train)[:, 1]\n",
    "y_test_predicted = catboost_clf_default.predict_proba(X_test)[:, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default, ROC AUC на обучающей выборке: 0.868907713079702\n",
      "deafault, ROC AUC на валидационной выборке: 0.8549178317390238\n",
      "Wall time: 4 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "train_auc = roc_auc_score(y_train, y_train_predicted)\n",
    "test_auc = roc_auc_score(y_test, y_test_predicted)\n",
    "print(f'default, ROC AUC на обучающей выборке: {train_auc}')\n",
    "print(f'deafault, ROC AUC на валидационной выборке: {test_auc}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'nan_mode': 'Min',\n",
       " 'gpu_ram_part': 0.95,\n",
       " 'eval_metric': 'Logloss',\n",
       " 'combinations_ctr': ['Borders:CtrBorderCount=15:CtrBorderType=Uniform:TargetBorderCount=1:TargetBorderType=MinEntropy:Prior=0/1:Prior=0.5/1:Prior=1/1',\n",
       "  'FeatureFreq:CtrBorderCount=15:CtrBorderType=Median:Prior=0/1'],\n",
       " 'iterations': 1000,\n",
       " 'fold_permutation_block': 64,\n",
       " 'leaf_estimation_method': 'Newton',\n",
       " 'observations_to_bootstrap': 'TestOnly',\n",
       " 'counter_calc_method': 'SkipTest',\n",
       " 'grow_policy': 'SymmetricTree',\n",
       " 'boosting_type': 'Ordered',\n",
       " 'ctr_history_unit': 'Sample',\n",
       " 'feature_border_type': 'GreedyLogSum',\n",
       " 'bayesian_matrix_reg': 0.10000000149011612,\n",
       " 'one_hot_max_size': 2,\n",
       " 'devices': '-1',\n",
       " 'pinned_memory_bytes': '104857600',\n",
       " 'l2_leaf_reg': 3,\n",
       " 'random_strength': 1,\n",
       " 'rsm': 1,\n",
       " 'boost_from_average': False,\n",
       " 'gpu_cat_features_storage': 'GpuRam',\n",
       " 'fold_size_loss_normalization': False,\n",
       " 'max_ctr_complexity': 4,\n",
       " 'model_size_reg': 0.5,\n",
       " 'simple_ctr': ['Borders:CtrBorderCount=15:CtrBorderType=Uniform:TargetBorderCount=1:TargetBorderType=MinEntropy:Prior=0/1:Prior=0.5/1:Prior=1/1',\n",
       "  'FeatureFreq:CtrBorderCount=15:CtrBorderType=MinEntropy:Prior=0/1'],\n",
       " 'use_best_model': False,\n",
       " 'class_names': [0, 1],\n",
       " 'random_seed': 0,\n",
       " 'depth': 6,\n",
       " 'ctr_target_border_count': 1,\n",
       " 'has_time': False,\n",
       " 'fold_len_multiplier': 2,\n",
       " 'border_count': 128,\n",
       " 'min_fold_size': 100,\n",
       " 'data_partition': 'FeatureParallel',\n",
       " 'bagging_temperature': 1,\n",
       " 'classes_count': 0,\n",
       " 'auto_class_weights': 'None',\n",
       " 'leaf_estimation_backtracking': 'AnyImprovement',\n",
       " 'best_model_min_trees': 1,\n",
       " 'min_data_in_leaf': 1,\n",
       " 'add_ridge_penalty_to_loss_function': False,\n",
       " 'loss_function': 'Logloss',\n",
       " 'learning_rate': 0.03094100020825863,\n",
       " 'score_function': 'Cosine',\n",
       " 'task_type': 'GPU',\n",
       " 'leaf_estimation_iterations': 10,\n",
       " 'bootstrap_type': 'Bayesian',\n",
       " 'max_leaves': 64,\n",
       " 'permutation_count': 4}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catboost_clf_default.get_all_params()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 0 ns\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "catboost_clf = CatBoostClassifier()\n",
    "\n",
    "params = {\n",
    "#     'l2_leaf_reg':[2,3,4,5],\n",
    "    'eval_metric':['AUC'],\n",
    "    'task_type':['GPU'],\n",
    "#     'loss_function': ['Logloss'],#, 'CrossEntropy'],\n",
    "#     'n_estimators':[500, 1000, 1500],\n",
    "#     'learning_rate': [0.02, 0.03, 0.04, 0.05],\n",
    "    'random_seed':[42],# [2021],\n",
    "    'verbose': [False],\n",
    "    'cat_features': [cat_cols],\n",
    "}\n",
    "\n",
    "scorer = make_scorer(roc_auc_score, needs_proba=True)\n",
    "catboost_grid = GridSearchCV(estimator=catboost_clf, param_grid=params, scoring=scorer, cv=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 5min 5s\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>div.sk-top-container {color: black;background-color: white;}div.sk-toggleable {background-color: white;}label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.2em 0.3em;box-sizing: border-box;text-align: center;}div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}div.sk-estimator {font-family: monospace;background-color: #f0f8ff;margin: 0.25em 0.25em;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;}div.sk-estimator:hover {background-color: #d4ebff;}div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;}div.sk-item {z-index: 1;}div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;}div.sk-parallel-item {display: flex;flex-direction: column;position: relative;background-color: white;}div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}div.sk-parallel-item:only-child::after {width: 0;}div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0.2em;box-sizing: border-box;padding-bottom: 0.1em;background-color: white;position: relative;}div.sk-label label {font-family: monospace;font-weight: bold;background-color: white;display: inline-block;line-height: 1.2em;}div.sk-label-container {position: relative;z-index: 2;text-align: center;}div.sk-container {display: inline-block;position: relative;}</style><div class=\"sk-top-container\"><div class=\"sk-container\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"6f700399-231a-47ad-902d-dad0e6edfb49\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"6f700399-231a-47ad-902d-dad0e6edfb49\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=5,\n",
       "             estimator=<catboost.core.CatBoostClassifier object at 0x0000019602763340>,\n",
       "             param_grid={'cat_features': [['Sex', 'IsSeniorCitizen',\n",
       "                                           'HasPartner', 'HasChild',\n",
       "                                           'HasPhoneService',\n",
       "                                           'HasMultiplePhoneNumbers',\n",
       "                                           'HasInternetService',\n",
       "                                           'HasOnlineSecurityService',\n",
       "                                           'HasOnlineBackup',\n",
       "                                           'HasDeviceProtection',\n",
       "                                           'HasTechSupportAccess',\n",
       "                                           'HasOnlineTV',\n",
       "                                           'HasMovieSubscription',\n",
       "                                           'HasContractPhone',\n",
       "                                           'IsBillingPaperless',\n",
       "                                           'PaymentMethod']],\n",
       "                         'eval_metric': ['AUC'], 'random_seed': [42],\n",
       "                         'task_type': ['GPU'], 'verbose': [False]},\n",
       "             scoring=make_scorer(roc_auc_score, needs_proba=True))</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"68e81c63-7434-497b-b2e9-a56a90b6f55f\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"68e81c63-7434-497b-b2e9-a56a90b6f55f\">CatBoostClassifier</label><div class=\"sk-toggleable__content\"><pre><catboost.core.CatBoostClassifier object at 0x0000019602763340></pre></div></div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "GridSearchCV(cv=5,\n",
       "             estimator=<catboost.core.CatBoostClassifier object at 0x0000019602763340>,\n",
       "             param_grid={'cat_features': [['Sex', 'IsSeniorCitizen',\n",
       "                                           'HasPartner', 'HasChild',\n",
       "                                           'HasPhoneService',\n",
       "                                           'HasMultiplePhoneNumbers',\n",
       "                                           'HasInternetService',\n",
       "                                           'HasOnlineSecurityService',\n",
       "                                           'HasOnlineBackup',\n",
       "                                           'HasDeviceProtection',\n",
       "                                           'HasTechSupportAccess',\n",
       "                                           'HasOnlineTV',\n",
       "                                           'HasMovieSubscription',\n",
       "                                           'HasContractPhone',\n",
       "                                           'IsBillingPaperless',\n",
       "                                           'PaymentMethod']],\n",
       "                         'eval_metric': ['AUC'], 'random_seed': [42],\n",
       "                         'task_type': ['GPU'], 'verbose': [False]},\n",
       "             scoring=make_scorer(roc_auc_score, needs_proba=True))"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "catboost_grid.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 0 ns\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'cat_features': ['Sex',\n",
       "  'IsSeniorCitizen',\n",
       "  'HasPartner',\n",
       "  'HasChild',\n",
       "  'HasPhoneService',\n",
       "  'HasMultiplePhoneNumbers',\n",
       "  'HasInternetService',\n",
       "  'HasOnlineSecurityService',\n",
       "  'HasOnlineBackup',\n",
       "  'HasDeviceProtection',\n",
       "  'HasTechSupportAccess',\n",
       "  'HasOnlineTV',\n",
       "  'HasMovieSubscription',\n",
       "  'HasContractPhone',\n",
       "  'IsBillingPaperless',\n",
       "  'PaymentMethod'],\n",
       " 'eval_metric': 'AUC',\n",
       " 'random_seed': 42,\n",
       " 'task_type': 'GPU',\n",
       " 'verbose': False}"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "best_param = catboost_grid.best_params_\n",
    "best_param"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 54.9 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<catboost.core.CatBoostClassifier at 0x196025288b0>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "final_catboost_clf = CatBoostClassifier(**best_param,\n",
    "                                        use_best_model=True,\n",
    "#                                         cat_features=cat_cols\n",
    "                                        )\n",
    "\n",
    "train_pool =  Pool(X_train, y_train, cat_features=cat_cols)\n",
    "final_catboost_clf.fit(train_pool, eval_set=(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ROC-AUC on the train data: 0.8681357369313574\n",
      "ROC-AUC on the test data: 0.8538929184624549\n",
      "Wall time: 55 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "train_pred = final_catboost_clf.predict_proba(X_train)[:, 1]\n",
    "test_pred = final_catboost_clf.predict_proba(X_test)[:, 1]\n",
    "\n",
    "print(f\"ROC-AUC on the train data: {roc_auc_score(y_train, train_pred)}\")\n",
    "print(f\"ROC-AUC on the test data: {roc_auc_score(y_test, test_pred)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "preferable number of tree : 851\n",
      "Wall time: 0 ns\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "best_model = final_catboost_clf\n",
    "print(f\"preferable number of tree : {best_model.tree_count_}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 9 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "X_test = pd.read_csv('./test.csv')\n",
    "X_test = prepare_data(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 26 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "submission = pd.read_csv('./submission.csv')\n",
    "predicted =  best_model.predict_proba(X_test)[:, 1]\n",
    "submission['Churn'] =  predicted\n",
    "\n",
    "submission.to_csv('./my_submission.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "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>Id</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.046545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0.769040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>0.729430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>0.012409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>0.006371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1756</th>\n",
       "      <td>1756</td>\n",
       "      <td>0.139709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1757</th>\n",
       "      <td>1757</td>\n",
       "      <td>0.010206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1758</th>\n",
       "      <td>1758</td>\n",
       "      <td>0.864726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1759</th>\n",
       "      <td>1759</td>\n",
       "      <td>0.649473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1760</th>\n",
       "      <td>1760</td>\n",
       "      <td>0.012683</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1761 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Id     Churn\n",
       "0        0  0.046545\n",
       "1        1  0.769040\n",
       "2        2  0.729430\n",
       "3        3  0.012409\n",
       "4        4  0.006371\n",
       "...    ...       ...\n",
       "1756  1756  0.139709\n",
       "1757  1757  0.010206\n",
       "1758  1758  0.864726\n",
       "1759  1759  0.649473\n",
       "1760  1760  0.012683\n",
       "\n",
       "[1761 rows x 2 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "|Модель|CV/validate|Leader Board|\n",
    "   |---|---|---|\n",
    "    |logit|0.84513|0.81103|\n",
    "    |catboost|0.85389|0.85023|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "#randomseed рулит\n",
    "#Maksim Kleshchenok"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}