PUBG EDA III.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# автоперезагрузка функций из внешних скриптов\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2d87f2272f744703817ffe235604655b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=1, bar_style='info', max=1), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/tqdm/_tqdm.py:634: FutureWarning: The Panel class is removed from pandas. Accessing it from the top-level namespace will also be removed in the next version\n",
      "  from pandas import Panel\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "import json\n",
    "from pprint import pprint\n",
    "\n",
    "from tqdm import tqdm_notebook as tqdm\n",
    "tqdm().pandas()\n",
    "\n",
    "import glob\n",
    "\n",
    "import os\n",
    "from os.path import join\n",
    "\n",
    "\n",
    "pd.options.display.max_columns = 999\n",
    "pd.options.display.max_rows = 999\n",
    "\n",
    "%pylab inline\n",
    "figsize(14,6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_violin_hist(data, target, column):\n",
    "    plt.subplot(1,2,1)\n",
    "    sns.violinplot(x = target, y = column, data = data)\n",
    "    plt.subplot(1,2,2)\n",
    "    sns.distplot(data[data[target] == 1.0][column], color = 'green')\n",
    "    sns.distplot(data[data[target] == 0.0][column], color = 'red')\n",
    "    plt.show()\n",
    "    \n",
    "def plot_hist_discrete(data, target, column):\n",
    "    #sns.factorplot(x = target, y = column, hue=\"smoker\", data=tips, kind=\"bar\");\n",
    "    bins = data[column].nunique()\n",
    "    plt.hist([data[data[target] == 1.0][column], data[data[target] == 0.0][column]], color=['g','r'], \n",
    "             alpha=0.5, bins=bins)\n",
    "    plt.title(column)\n",
    "    plt.show()\n",
    "    \n",
    "heroes = {\n",
    "    25: 'shaman',\n",
    "    326: 'hunter',\n",
    "    390: 'warlock',\n",
    "    494: 'mage',\n",
    "    612: 'druid',\n",
    "    754: 'rogue',\n",
    "    798: 'priest',\n",
    "    981: 'paladin',\n",
    "    1235: 'warrior'\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a2b32ebff65344698385f20c011169db",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=2), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "df_tabs = []\n",
    "for filename in tqdm(glob.glob(join('./data/','*_tabular*'))):\n",
    "    dff = pd.read_csv(filename)\n",
    "    df_tabs.append(dff)\n",
    "df_all = pd.concat(df_tabs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gamestate_id</th>\n",
       "      <th>decision</th>\n",
       "      <th>turn</th>\n",
       "      <th>opponent.armor</th>\n",
       "      <th>opponent.attack</th>\n",
       "      <th>opponent.hero_card_id</th>\n",
       "      <th>opponent.hp</th>\n",
       "      <th>opponent.special_skill_used</th>\n",
       "      <th>opponent.weapon_durability</th>\n",
       "      <th>opponent.crystals_all</th>\n",
       "      <th>opponent.crystals_current</th>\n",
       "      <th>opponent.deck_count</th>\n",
       "      <th>opponent.fatigue_damage</th>\n",
       "      <th>opponent.hand_count</th>\n",
       "      <th>opponent.played_minions_count</th>\n",
       "      <th>player.armor</th>\n",
       "      <th>player.attack</th>\n",
       "      <th>player.hero_card_id</th>\n",
       "      <th>player.hp</th>\n",
       "      <th>player.special_skill_used</th>\n",
       "      <th>player.weapon_durability</th>\n",
       "      <th>player.crystals_all</th>\n",
       "      <th>player.crystals_current</th>\n",
       "      <th>player.deck_count</th>\n",
       "      <th>player.fatigue_damage</th>\n",
       "      <th>player.hand_count</th>\n",
       "      <th>player.played_minions_count</th>\n",
       "      <th>opponent.played.nOfCards</th>\n",
       "      <th>opponent.played.attack</th>\n",
       "      <th>opponent.played.crystals_cost</th>\n",
       "      <th>opponent.played.hp_current</th>\n",
       "      <th>opponent.played.hp_max</th>\n",
       "      <th>player.played.nOfCards</th>\n",
       "      <th>player.played.attack</th>\n",
       "      <th>player.played.crystals_cost</th>\n",
       "      <th>player.played.hp_current</th>\n",
       "      <th>player.played.hp_max</th>\n",
       "      <th>player.hand.nOfMinions</th>\n",
       "      <th>player.hand.nOfSpells</th>\n",
       "      <th>player.hand.nOfWeapons</th>\n",
       "      <th>player.hand.nOfCards</th>\n",
       "      <th>player.hand.nOfPlayable</th>\n",
       "      <th>player.hand.attack</th>\n",
       "      <th>player.hand.crystals_cost</th>\n",
       "      <th>player.hand.hp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>4687346</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>798</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>981</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>22</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>3270826</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>754</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>754</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>26</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>3189487</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>612</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>612</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>4098946</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>390</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>981</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>44</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2661127</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>494</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
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       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
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       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gamestate_id  decision  turn  opponent.armor  opponent.attack  \\\n",
       "0       4687346         1    14               0                0   \n",
       "1       3270826         1     7               0                0   \n",
       "2       3189487         1     5               3                0   \n",
       "3       4098946         1     8               0                0   \n",
       "4       2661127         0    13               0                0   \n",
       "\n",
       "   opponent.hero_card_id  opponent.hp  opponent.special_skill_used  \\\n",
       "0                    798            5                            0   \n",
       "1                    754           22                            0   \n",
       "2                    612           29                            0   \n",
       "3                    390           26                            0   \n",
       "4                     25           30                            0   \n",
       "\n",
       "   opponent.weapon_durability  opponent.crystals_all  \\\n",
       "0                           0                     10   \n",
       "1                           0                      6   \n",
       "2                           0                      4   \n",
       "3                           0                      7   \n",
       "4                           0                     10   \n",
       "\n",
       "   opponent.crystals_current  opponent.deck_count  opponent.fatigue_damage  \\\n",
       "0                         10                   11                        0   \n",
       "1                          6                   19                        0   \n",
       "2                          1                   22                        0   \n",
       "3                          7                   17                        0   \n",
       "4                          1                   12                        0   \n",
       "\n",
       "   opponent.hand_count  opponent.played_minions_count  player.armor  \\\n",
       "0                    2                              1             0   \n",
       "1                    8                              1             0   \n",
       "2                    4                              2             1   \n",
       "3                    7                              0             0   \n",
       "4                    3                              4             0   \n",
       "\n",
       "   player.attack  player.hero_card_id  player.hp  player.special_skill_used  \\\n",
       "0              0                  981         17                          1   \n",
       "1              0                  754         29                          0   \n",
       "2              0                  612         30                          0   \n",
       "3              0                  981         26                          0   \n",
       "4              0                  494          8                          0   \n",
       "\n",
       "   player.weapon_durability  player.crystals_all  player.crystals_current  \\\n",
       "0                         0                   10                        0   \n",
       "1                         0                    7                        0   \n",
       "2                         0                    6                        5   \n",
       "3                         0                    8                        8   \n",
       "4                         0                   10                       10   \n",
       "\n",
       "   player.deck_count  player.fatigue_damage  player.hand_count  \\\n",
       "0                 12                      0                  5   \n",
       "1                 18                      0                  7   \n",
       "2                 22                      0                  5   \n",
       "3                 19                      0                  9   \n",
       "4                 14                      0                  4   \n",
       "\n",
       "   player.played_minions_count  opponent.played.nOfCards  \\\n",
       "0                            5                         1   \n",
       "1                            5                         1   \n",
       "2                            0                         2   \n",
       "3                            1                         0   \n",
       "4                            1                         4   \n",
       "\n",
       "   opponent.played.attack  opponent.played.crystals_cost  \\\n",
       "0                       2                              4   \n",
       "1                       2                              4   \n",
       "2                       8                              5   \n",
       "3                       0                              0   \n",
       "4                      15                             14   \n",
       "\n",
       "   opponent.played.hp_current  opponent.played.hp_max  player.played.nOfCards  \\\n",
       "0                           6                       8                       5   \n",
       "1                           2                       4                       5   \n",
       "2                           8                       8                       0   \n",
       "3                           0                       0                       1   \n",
       "4                          16                      16                       1   \n",
       "\n",
       "   player.played.attack  player.played.crystals_cost  \\\n",
       "0                    21                           20   \n",
       "1                    10                           16   \n",
       "2                     0                            0   \n",
       "3                     3                            2   \n",
       "4                     6                            6   \n",
       "\n",
       "   player.played.hp_current  player.played.hp_max  player.hand.nOfMinions  \\\n",
       "0                        20                    23                       4   \n",
       "1                        16                    17                       3   \n",
       "2                         0                     0                       5   \n",
       "3                         2                     2                       7   \n",
       "4                         7                     7                       4   \n",
       "\n",
       "   player.hand.nOfSpells  player.hand.nOfWeapons  player.hand.nOfCards  \\\n",
       "0                      0                       1                     5   \n",
       "1                      2                       2                     7   \n",
       "2                      0                       0                     5   \n",
       "3                      1                       1                     9   \n",
       "4                      0                       0                     4   \n",
       "\n",
       "   player.hand.nOfPlayable  player.hand.attack  player.hand.crystals_cost  \\\n",
       "0                        0                  20                         22   \n",
       "1                        0                  17                         26   \n",
       "2                        2                  26                         28   \n",
       "3                        9                  36                         44   \n",
       "4                        4                  13                         13   \n",
       "\n",
       "   player.hand.hp  \n",
       "0              17  \n",
       "1              20  \n",
       "2              27  \n",
       "3              36  \n",
       "4              14  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .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>turn</th>\n",
       "      <th>opponent.crystals_all</th>\n",
       "      <th>opponent.crystals_current</th>\n",
       "      <th>opponent.deck_count</th>\n",
       "      <th>player.crystals_all</th>\n",
       "      <th>player.crystals_current</th>\n",
       "      <th>player.deck_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>20979.0</td>\n",
       "      <td>20979.0</td>\n",
       "      <td>20979.0</td>\n",
       "      <td>20979.0</td>\n",
       "      <td>20979.000000</td>\n",
       "      <td>20979.000000</td>\n",
       "      <td>20979.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.001049</td>\n",
       "      <td>0.897469</td>\n",
       "      <td>25.984556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.032367</td>\n",
       "      <td>0.415890</td>\n",
       "      <td>0.214699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>23.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>26.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>26.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>26.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>26.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          turn  opponent.crystals_all  opponent.crystals_current  \\\n",
       "count  20979.0                20979.0                    20979.0   \n",
       "mean       1.0                    0.0                        0.0   \n",
       "std        0.0                    0.0                        0.0   \n",
       "min        1.0                    0.0                        0.0   \n",
       "25%        1.0                    0.0                        0.0   \n",
       "50%        1.0                    0.0                        0.0   \n",
       "75%        1.0                    0.0                        0.0   \n",
       "max        1.0                    0.0                        0.0   \n",
       "\n",
       "       opponent.deck_count  player.crystals_all  player.crystals_current  \\\n",
       "count              20979.0         20979.000000             20979.000000   \n",
       "mean                  26.0             1.001049                 0.897469   \n",
       "std                    0.0             0.032367                 0.415890   \n",
       "min                   26.0             1.000000                 0.000000   \n",
       "25%                   26.0             1.000000                 1.000000   \n",
       "50%                   26.0             1.000000                 1.000000   \n",
       "75%                   26.0             1.000000                 1.000000   \n",
       "max                   26.0             2.000000                 5.000000   \n",
       "\n",
       "       player.deck_count  \n",
       "count       20979.000000  \n",
       "mean           25.984556  \n",
       "std             0.214699  \n",
       "min            23.000000  \n",
       "25%            26.000000  \n",
       "50%            26.000000  \n",
       "75%            26.000000  \n",
       "max            26.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all[['turn','opponent.crystals_all','opponent.crystals_current','opponent.deck_count',\n",
    "          'player.crystals_all','player.crystals_current','player.deck_count',]][df_all.turn == 1].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>turn</th>\n",
       "      <th>opponent.crystals_all</th>\n",
       "      <th>opponent.crystals_current</th>\n",
       "      <th>opponent.deck_count</th>\n",
       "      <th>player.crystals_all</th>\n",
       "      <th>player.crystals_current</th>\n",
       "      <th>player.deck_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>70683.0</td>\n",
       "      <td>70683.000000</td>\n",
       "      <td>70683.000000</td>\n",
       "      <td>70683.000000</td>\n",
       "      <td>70683.000000</td>\n",
       "      <td>70683.00000</td>\n",
       "      <td>70683.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.037491</td>\n",
       "      <td>1.058020</td>\n",
       "      <td>21.618947</td>\n",
       "      <td>4.786101</td>\n",
       "      <td>2.38858</td>\n",
       "      <td>21.828445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.204386</td>\n",
       "      <td>1.381968</td>\n",
       "      <td>0.723344</td>\n",
       "      <td>0.478020</td>\n",
       "      <td>2.01956</td>\n",
       "      <td>0.885925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>17.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>21.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.00000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>9.00000</td>\n",
       "      <td>23.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          turn  opponent.crystals_all  opponent.crystals_current  \\\n",
       "count  70683.0           70683.000000               70683.000000   \n",
       "mean       5.0               4.037491                   1.058020   \n",
       "std        0.0               0.204386                   1.381968   \n",
       "min        5.0               4.000000                   0.000000   \n",
       "25%        5.0               4.000000                   0.000000   \n",
       "50%        5.0               4.000000                   1.000000   \n",
       "75%        5.0               4.000000                   2.000000   \n",
       "max        5.0               6.000000                   8.000000   \n",
       "\n",
       "       opponent.deck_count  player.crystals_all  player.crystals_current  \\\n",
       "count         70683.000000         70683.000000              70683.00000   \n",
       "mean             21.618947             4.786101                  2.38858   \n",
       "std               0.723344             0.478020                  2.01956   \n",
       "min              18.000000             4.000000                  0.00000   \n",
       "25%              21.000000             5.000000                  1.00000   \n",
       "50%              22.000000             5.000000                  2.00000   \n",
       "75%              22.000000             5.000000                  5.00000   \n",
       "max              22.000000             7.000000                  9.00000   \n",
       "\n",
       "       player.deck_count  \n",
       "count       70683.000000  \n",
       "mean           21.828445  \n",
       "std             0.885925  \n",
       "min            17.000000  \n",
       "25%            21.000000  \n",
       "50%            22.000000  \n",
       "75%            22.000000  \n",
       "max            23.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all[['turn','opponent.crystals_all','opponent.crystals_current','opponent.deck_count',\n",
    "          'player.crystals_all','player.crystals_current','player.deck_count',]][df_all.turn == 5].describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# всегда поддерживайте удобство просмотра и работы с данными\n",
    "df_all['opponent_hero_name'] = df_all['opponent.hero_card_id'].map(heroes)\n",
    "df_all['player_hero_name'] = df_all['player.hero_card_id'].map(heroes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.504426"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# распределение таргета\n",
    "df_all.decision.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fea7c634710>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "# сыгранные карты, максимум 7 на столе(поэтому указали бины)\n",
    "df_all['player.played.nOfCards'].hist(bins=7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# график ХП. С оппонентом ситуация зеркальная\n",
    "plot_violin_hist(df_all, 'decision', 'player.hp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# иногда по id можно найти лик в данных\n",
    "plot_violin_hist(df_all, 'decision', 'gamestate_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Важно оценивать хп+армор а не по отдельности, может так картина будет более выразительной\n",
    "\n",
    "df_all['opponent.hp.armor'] = df_all['opponent.hp'] + df_all['opponent.armor']\n",
    "df_all['player.hp.armor'] = df_all['player.hp'] + df_all['player.armor']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# opponent.hp.armor\n",
    "# ситуация стала более выраженная!\n",
    "\n",
    "plot_violin_hist(df_all, 'decision', 'opponent.hp.armor')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Так же оценим разность hp+armor для игроков\n",
    "df_all['diff.hp.armor'] = df_all['player.hp.armor'] - df_all['opponent.hp.armor']\n",
    "plot_violin_hist(df_all, 'decision', 'diff.hp.armor')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cards in hands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plot_hist_discrete(df_all, 'decision', 'opponent.hand_count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# One-Hot encoding категориальных признаков\n",
    "# можно делать через sklearn.preprocessing.OneHotEncoder - дело привычки\n",
    "def ohe_column(df, column):\n",
    "    df_ohe = pd.get_dummies(df[column], prefix=column)\n",
    "    df = pd.concat([df, df_ohe], axis=1)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Консоль из Jupyter. Проверка пропущенных значений"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already up-to-date: missingno in ./env/lib/python3.7/site-packages (0.4.2)\n",
      "Requirement already satisfied, skipping upgrade: numpy in ./env/lib/python3.7/site-packages (from missingno) (1.17.2)\n",
      "Requirement already satisfied, skipping upgrade: seaborn in ./env/lib/python3.7/site-packages (from missingno) (0.9.0)\n",
      "Requirement already satisfied, skipping upgrade: matplotlib in ./env/lib/python3.7/site-packages (from missingno) (3.1.1)\n",
      "Requirement already satisfied, skipping upgrade: scipy in ./env/lib/python3.7/site-packages (from missingno) (1.3.1)\n",
      "Requirement already satisfied, skipping upgrade: pandas>=0.15.2 in ./env/lib/python3.7/site-packages (from seaborn->missingno) (0.25.1)\n",
      "Requirement already satisfied, skipping upgrade: cycler>=0.10 in ./env/lib/python3.7/site-packages (from matplotlib->missingno) (0.10.0)\n",
      "Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in ./env/lib/python3.7/site-packages (from matplotlib->missingno) (2.8.0)\n",
      "Requirement already satisfied, skipping upgrade: kiwisolver>=1.0.1 in ./env/lib/python3.7/site-packages (from matplotlib->missingno) (1.1.0)\n",
      "Requirement already satisfied, skipping upgrade: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in ./env/lib/python3.7/site-packages (from matplotlib->missingno) (2.4.2)\n",
      "Requirement already satisfied, skipping upgrade: pytz>=2017.2 in ./env/lib/python3.7/site-packages (from pandas>=0.15.2->seaborn->missingno) (2019.2)\n",
      "Requirement already satisfied, skipping upgrade: six in ./env/lib/python3.7/site-packages (from cycler>=0.10->matplotlib->missingno) (1.12.0)\n",
      "Requirement already satisfied, skipping upgrade: setuptools in ./env/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib->missingno) (41.2.0)\n"
     ]
    }
   ],
   "source": [
    "! pip install -U missingno"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/missingno/missingno.py:198: UserWarning: The 'inline' argument has been deprecated, and will be removed in a future version of missingno.\n",
      "  \"The 'inline' argument has been deprecated, and will be removed in a future version \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import missingno as msno\n",
    "msno.matrix(df_all, inline=True, sparkline=True, figsize=(20, 10), sort=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>gamestate_id</th>\n",
       "      <th>decision</th>\n",
       "      <th>turn</th>\n",
       "      <th>opponent.armor</th>\n",
       "      <th>opponent.attack</th>\n",
       "      <th>opponent.hero_card_id</th>\n",
       "      <th>opponent.hp</th>\n",
       "      <th>opponent.special_skill_used</th>\n",
       "      <th>opponent.weapon_durability</th>\n",
       "      <th>opponent.crystals_all</th>\n",
       "      <th>opponent.crystals_current</th>\n",
       "      <th>opponent.deck_count</th>\n",
       "      <th>opponent.fatigue_damage</th>\n",
       "      <th>opponent.hand_count</th>\n",
       "      <th>opponent.played_minions_count</th>\n",
       "      <th>player.armor</th>\n",
       "      <th>player.attack</th>\n",
       "      <th>player.hero_card_id</th>\n",
       "      <th>player.hp</th>\n",
       "      <th>player.special_skill_used</th>\n",
       "      <th>player.weapon_durability</th>\n",
       "      <th>player.crystals_all</th>\n",
       "      <th>player.crystals_current</th>\n",
       "      <th>player.deck_count</th>\n",
       "      <th>player.fatigue_damage</th>\n",
       "      <th>player.hand_count</th>\n",
       "      <th>player.played_minions_count</th>\n",
       "      <th>opponent.played.nOfCards</th>\n",
       "      <th>opponent.played.attack</th>\n",
       "      <th>opponent.played.crystals_cost</th>\n",
       "      <th>opponent.played.hp_current</th>\n",
       "      <th>opponent.played.hp_max</th>\n",
       "      <th>player.played.nOfCards</th>\n",
       "      <th>player.played.attack</th>\n",
       "      <th>player.played.crystals_cost</th>\n",
       "      <th>player.played.hp_current</th>\n",
       "      <th>player.played.hp_max</th>\n",
       "      <th>player.hand.nOfMinions</th>\n",
       "      <th>player.hand.nOfSpells</th>\n",
       "      <th>player.hand.nOfWeapons</th>\n",
       "      <th>player.hand.nOfCards</th>\n",
       "      <th>player.hand.nOfPlayable</th>\n",
       "      <th>player.hand.attack</th>\n",
       "      <th>player.hand.crystals_cost</th>\n",
       "      <th>player.hand.hp</th>\n",
       "      <th>opponent_hero_name</th>\n",
       "      <th>player_hero_name</th>\n",
       "      <th>opponent.hp.armor</th>\n",
       "      <th>player.hp.armor</th>\n",
       "      <th>diff.hp.armor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>4687346</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>798</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>981</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>22</td>\n",
       "      <td>17</td>\n",
       "      <td>priest</td>\n",
       "      <td>paladin</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>3270826</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>754</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>754</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>26</td>\n",
       "      <td>20</td>\n",
       "      <td>rogue</td>\n",
       "      <td>rogue</td>\n",
       "      <td>22</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>3189487</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>612</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>612</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>27</td>\n",
       "      <td>druid</td>\n",
       "      <td>druid</td>\n",
       "      <td>32</td>\n",
       "      <td>31</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>4098946</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>390</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>981</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>44</td>\n",
       "      <td>36</td>\n",
       "      <td>warlock</td>\n",
       "      <td>paladin</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2661127</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>494</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "      <td>shaman</td>\n",
       "      <td>mage</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>-22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gamestate_id  decision  turn  opponent.armor  opponent.attack  \\\n",
       "0       4687346         1    14               0                0   \n",
       "1       3270826         1     7               0                0   \n",
       "2       3189487         1     5               3                0   \n",
       "3       4098946         1     8               0                0   \n",
       "4       2661127         0    13               0                0   \n",
       "\n",
       "   opponent.hero_card_id  opponent.hp  opponent.special_skill_used  \\\n",
       "0                    798            5                            0   \n",
       "1                    754           22                            0   \n",
       "2                    612           29                            0   \n",
       "3                    390           26                            0   \n",
       "4                     25           30                            0   \n",
       "\n",
       "   opponent.weapon_durability  opponent.crystals_all  \\\n",
       "0                           0                     10   \n",
       "1                           0                      6   \n",
       "2                           0                      4   \n",
       "3                           0                      7   \n",
       "4                           0                     10   \n",
       "\n",
       "   opponent.crystals_current  opponent.deck_count  opponent.fatigue_damage  \\\n",
       "0                         10                   11                        0   \n",
       "1                          6                   19                        0   \n",
       "2                          1                   22                        0   \n",
       "3                          7                   17                        0   \n",
       "4                          1                   12                        0   \n",
       "\n",
       "   opponent.hand_count  opponent.played_minions_count  player.armor  \\\n",
       "0                    2                              1             0   \n",
       "1                    8                              1             0   \n",
       "2                    4                              2             1   \n",
       "3                    7                              0             0   \n",
       "4                    3                              4             0   \n",
       "\n",
       "   player.attack  player.hero_card_id  player.hp  player.special_skill_used  \\\n",
       "0              0                  981         17                          1   \n",
       "1              0                  754         29                          0   \n",
       "2              0                  612         30                          0   \n",
       "3              0                  981         26                          0   \n",
       "4              0                  494          8                          0   \n",
       "\n",
       "   player.weapon_durability  player.crystals_all  player.crystals_current  \\\n",
       "0                         0                   10                        0   \n",
       "1                         0                    7                        0   \n",
       "2                         0                    6                        5   \n",
       "3                         0                    8                        8   \n",
       "4                         0                   10                       10   \n",
       "\n",
       "   player.deck_count  player.fatigue_damage  player.hand_count  \\\n",
       "0                 12                      0                  5   \n",
       "1                 18                      0                  7   \n",
       "2                 22                      0                  5   \n",
       "3                 19                      0                  9   \n",
       "4                 14                      0                  4   \n",
       "\n",
       "   player.played_minions_count  opponent.played.nOfCards  \\\n",
       "0                            5                         1   \n",
       "1                            5                         1   \n",
       "2                            0                         2   \n",
       "3                            1                         0   \n",
       "4                            1                         4   \n",
       "\n",
       "   opponent.played.attack  opponent.played.crystals_cost  \\\n",
       "0                       2                              4   \n",
       "1                       2                              4   \n",
       "2                       8                              5   \n",
       "3                       0                              0   \n",
       "4                      15                             14   \n",
       "\n",
       "   opponent.played.hp_current  opponent.played.hp_max  player.played.nOfCards  \\\n",
       "0                           6                       8                       5   \n",
       "1                           2                       4                       5   \n",
       "2                           8                       8                       0   \n",
       "3                           0                       0                       1   \n",
       "4                          16                      16                       1   \n",
       "\n",
       "   player.played.attack  player.played.crystals_cost  \\\n",
       "0                    21                           20   \n",
       "1                    10                           16   \n",
       "2                     0                            0   \n",
       "3                     3                            2   \n",
       "4                     6                            6   \n",
       "\n",
       "   player.played.hp_current  player.played.hp_max  player.hand.nOfMinions  \\\n",
       "0                        20                    23                       4   \n",
       "1                        16                    17                       3   \n",
       "2                         0                     0                       5   \n",
       "3                         2                     2                       7   \n",
       "4                         7                     7                       4   \n",
       "\n",
       "   player.hand.nOfSpells  player.hand.nOfWeapons  player.hand.nOfCards  \\\n",
       "0                      0                       1                     5   \n",
       "1                      2                       2                     7   \n",
       "2                      0                       0                     5   \n",
       "3                      1                       1                     9   \n",
       "4                      0                       0                     4   \n",
       "\n",
       "   player.hand.nOfPlayable  player.hand.attack  player.hand.crystals_cost  \\\n",
       "0                        0                  20                         22   \n",
       "1                        0                  17                         26   \n",
       "2                        2                  26                         28   \n",
       "3                        9                  36                         44   \n",
       "4                        4                  13                         13   \n",
       "\n",
       "   player.hand.hp opponent_hero_name player_hero_name  opponent.hp.armor  \\\n",
       "0              17             priest          paladin                  5   \n",
       "1              20              rogue            rogue                 22   \n",
       "2              27              druid            druid                 32   \n",
       "3              36            warlock          paladin                 26   \n",
       "4              14             shaman             mage                 30   \n",
       "\n",
       "   player.hp.armor  diff.hp.armor  \n",
       "0               17             12  \n",
       "1               29              7  \n",
       "2               31             -1  \n",
       "3               26              0  \n",
       "4                8            -22  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fea78834898>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax=plt.subplots(figsize=(15, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title('train')\n",
    "sns.countplot(df_all['opponent_hero_name'])\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title('test')\n",
    "sns.countplot(df_all['player_hero_name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# если категорий много и надписи могут поплыть\n",
    "\n",
    "fig, ax=plt.subplots(figsize=(15, 8))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title('train')\n",
    "g=sns.countplot(y=df_all['opponent_hero_name'], order=df_all['opponent_hero_name'].unique(),\n",
    "                orient='v', palette='dark');\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title('test')\n",
    "g=sns.countplot(y=df_all['player_hero_name'], order=df_all['player_hero_name'].unique(),\n",
    "                orient='v', palette='dark');\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# боксплто, как убывает хп от хода\n",
    "\n",
    "plt.figure(figsize=(15, 10))\n",
    "sns.boxplot(y='turn', x='opponent.hp', data=df_all, orient='h', palette='Set2')\n",
    "plt.xticks(rotation='vertical');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 10))\n",
    "sns.violinplot(x=df_all['opponent.crystals_all'], y=df_all['opponent.hp'],  palette='Set2')\n",
    "plt.xticks(rotation='vertical');\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_corr = df_all.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fea787c39b0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(10,10)\n",
    "sns.heatmap(df_corr)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Кросс-Валидация"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split, StratifiedKFold\n",
    "\n",
    "df_all_ = df_all.sample(1000)\n",
    "\n",
    "# лучше всегда заранее отложить холдаут\n",
    "df_train, df_holdout = train_test_split(df_all_, random_state=177, \n",
    "                                        test_size=0.2, stratify=df_all_['decision'])\n",
    "\n",
    "skf = list(StratifiedKFold(n_splits=5, shuffle=True, random_state=177).split(df_train, df_train.decision))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['opponent_hero_name', 'player_hero_name', 'decision', 'gamestate_id']"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drop_cols = list(df_train.select_dtypes(include=['object']).columns)\n",
    "drop_cols.append('decision')\n",
    "drop_cols.append('gamestate_id')\n",
    "drop_cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
       "                     metric_params=None, n_jobs=12, n_neighbors=7, p=2,\n",
       "                     weights='uniform')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "kn = KNeighborsClassifier(n_neighbors=7, n_jobs=12)\n",
    "kn.fit(df_train.drop(drop_cols, 1), df_train['decision'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.42857143, 0.42857143, 0.42857143, 0.28571429, 0.42857143,\n",
       "       0.28571429, 0.42857143, 0.85714286, 0.42857143, 0.28571429])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "probs = kn.predict_proba(df_holdout.drop(drop_cols, 1))\n",
    "probs[:10, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 600 candidates, totalling 3000 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n",
      "[Parallel(n_jobs=1)]: Done 3000 out of 3000 | elapsed:   34.6s finished\n",
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/sklearn/model_selection/_search.py:814: DeprecationWarning: The default of the `iid` parameter will change from True to False in version 0.22 and will be removed in 0.24. This will change numeric results when test-set sizes are unequal.\n",
      "  DeprecationWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=[(array([  0,   2,   3,   4,   5,   6,   7,   8,   9,  11,  12,  14,  15,\n",
       "        16,  18,  20,  22,  24,  25,  26,  27,  28,  29,  31,  32,  35,\n",
       "        36,  37,  38,  39,  41,  42,  43,  44,  45,  46,  47,  49,  51,\n",
       "        52,  53,  54,  55,  56,  57,  58,  59,  60,  61,  63,  65,  66,\n",
       "        68,  69,  70,  71,  72,  73,  76,  77,  78,  79,  80,  81,  82,\n",
       "        84,  86,  87,  89,  90,  91,  92,  94,  95,  96,  97,  98,  99,\n",
       "       100, 101, 102, 103, 104, 106, 107, 110, 111, 113, 115, 117, 119,\n",
       "       120, 121, 122, 125, 126, 127, 129, 130, 131, 132, 134, 135,...\n",
       "                                              min_weight_fraction_leaf=0.0,\n",
       "                                              presort=False, random_state=None,\n",
       "                                              splitter='best'),\n",
       "             iid='warn', n_jobs=None,\n",
       "             param_grid={'criterion': ['gini', 'entropy'],\n",
       "                         'max_depth': [None, 2, 5, 10, 30],\n",
       "                         'max_leaf_nodes': [None, 5, 10, 20, 50],\n",
       "                         'min_samples_leaf': [1, 5, 10],\n",
       "                         'min_samples_split': [2, 10, 20, 50]},\n",
       "             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,\n",
       "             scoring='roc_auc', verbose=1)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.metrics import roc_auc_score\n",
    "from sklearn.model_selection import GridSearchCV \n",
    "\n",
    "method = DecisionTreeClassifier()\n",
    "\n",
    "parameters = {\"criterion\": [\"gini\", \"entropy\"],\n",
    "              \"min_samples_split\": [2, 10, 20,50],\n",
    "              \"max_depth\": [None, 2, 5, 10,30],\n",
    "              \"min_samples_leaf\": [1, 5, 10],\n",
    "              \"max_leaf_nodes\": [None, 5, 10, 20,50],\n",
    "              }\n",
    "\n",
    "clf = GridSearchCV(method, parameters, cv=skf, \n",
    "                   scoring='roc_auc', verbose=1)\n",
    "clf.fit(df_train.drop(drop_cols, 1), df_train['decision'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Задание\n",
    "1. Провести свой EDA на chunk1 и/или chunk4.\n",
    "2. Настроить валидацию которая относит разные пары героев в разные фолды\n",
    "3. Обучить KNN, logistic regression, decision tree/random forest из sklearn и сравнить результат\n",
    "\n",
    "\n",
    "Страница соревнования(сейчас неактивно) https://knowledgepit.fedcsis.org/mod/page/view.php?id=1022  \n",
    "Требуется предсказать победу перового игрока (player) над вторым (opponent) в игре Hearthstone.  \n",
    "Победе соответствует decision==1, поражению decision==0    \n",
    "Объект с уникальным gamestate_id представляет из себя сохраненное состояние какой-то игры. РАЗНЫЕ GAMESTATE_ID МОГУТ СООТВЕТСТВОВАТЬ ОДНОЙ И ТОЙ ЖЕ ИГРЕ"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Провести свой EDA на chunk1 и/или chunk4:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2047      2\n",
       "474189    2\n",
       "470095    2\n",
       "496728    2\n",
       "498777    2\n",
       "         ..\n",
       "131861    2\n",
       "138006    2\n",
       "135959    2\n",
       "158488    2\n",
       "0         2\n",
       "Length: 500000, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all.index.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_all.set_index(np.arange(df_all.shape[0]), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>gamestate_id</th>\n",
       "      <th>decision</th>\n",
       "      <th>turn</th>\n",
       "      <th>opponent.armor</th>\n",
       "      <th>opponent.attack</th>\n",
       "      <th>opponent.hero_card_id</th>\n",
       "      <th>opponent.hp</th>\n",
       "      <th>opponent.special_skill_used</th>\n",
       "      <th>opponent.weapon_durability</th>\n",
       "      <th>opponent.crystals_all</th>\n",
       "      <th>opponent.crystals_current</th>\n",
       "      <th>opponent.deck_count</th>\n",
       "      <th>opponent.fatigue_damage</th>\n",
       "      <th>opponent.hand_count</th>\n",
       "      <th>opponent.played_minions_count</th>\n",
       "      <th>player.armor</th>\n",
       "      <th>player.attack</th>\n",
       "      <th>player.hero_card_id</th>\n",
       "      <th>player.hp</th>\n",
       "      <th>player.special_skill_used</th>\n",
       "      <th>player.weapon_durability</th>\n",
       "      <th>player.crystals_all</th>\n",
       "      <th>player.crystals_current</th>\n",
       "      <th>player.deck_count</th>\n",
       "      <th>player.fatigue_damage</th>\n",
       "      <th>player.hand_count</th>\n",
       "      <th>player.played_minions_count</th>\n",
       "      <th>opponent.played.nOfCards</th>\n",
       "      <th>opponent.played.attack</th>\n",
       "      <th>opponent.played.crystals_cost</th>\n",
       "      <th>opponent.played.hp_current</th>\n",
       "      <th>opponent.played.hp_max</th>\n",
       "      <th>player.played.nOfCards</th>\n",
       "      <th>player.played.attack</th>\n",
       "      <th>player.played.crystals_cost</th>\n",
       "      <th>player.played.hp_current</th>\n",
       "      <th>player.played.hp_max</th>\n",
       "      <th>player.hand.nOfMinions</th>\n",
       "      <th>player.hand.nOfSpells</th>\n",
       "      <th>player.hand.nOfWeapons</th>\n",
       "      <th>player.hand.nOfCards</th>\n",
       "      <th>player.hand.nOfPlayable</th>\n",
       "      <th>player.hand.attack</th>\n",
       "      <th>player.hand.crystals_cost</th>\n",
       "      <th>player.hand.hp</th>\n",
       "      <th>opponent_hero_name</th>\n",
       "      <th>player_hero_name</th>\n",
       "      <th>opponent.hp.armor</th>\n",
       "      <th>player.hp.armor</th>\n",
       "      <th>diff.hp.armor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>4687346</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>798</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>981</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>22</td>\n",
       "      <td>17</td>\n",
       "      <td>priest</td>\n",
       "      <td>paladin</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>3270826</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>754</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>754</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>26</td>\n",
       "      <td>20</td>\n",
       "      <td>rogue</td>\n",
       "      <td>rogue</td>\n",
       "      <td>22</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>3189487</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>612</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>612</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>27</td>\n",
       "      <td>druid</td>\n",
       "      <td>druid</td>\n",
       "      <td>32</td>\n",
       "      <td>31</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>4098946</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>390</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>981</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>44</td>\n",
       "      <td>36</td>\n",
       "      <td>warlock</td>\n",
       "      <td>paladin</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2661127</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>494</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "      <td>shaman</td>\n",
       "      <td>mage</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>-22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gamestate_id  decision  turn  opponent.armor  opponent.attack  \\\n",
       "0       4687346         1    14               0                0   \n",
       "1       3270826         1     7               0                0   \n",
       "2       3189487         1     5               3                0   \n",
       "3       4098946         1     8               0                0   \n",
       "4       2661127         0    13               0                0   \n",
       "\n",
       "   opponent.hero_card_id  opponent.hp  opponent.special_skill_used  \\\n",
       "0                    798            5                            0   \n",
       "1                    754           22                            0   \n",
       "2                    612           29                            0   \n",
       "3                    390           26                            0   \n",
       "4                     25           30                            0   \n",
       "\n",
       "   opponent.weapon_durability  opponent.crystals_all  \\\n",
       "0                           0                     10   \n",
       "1                           0                      6   \n",
       "2                           0                      4   \n",
       "3                           0                      7   \n",
       "4                           0                     10   \n",
       "\n",
       "   opponent.crystals_current  opponent.deck_count  opponent.fatigue_damage  \\\n",
       "0                         10                   11                        0   \n",
       "1                          6                   19                        0   \n",
       "2                          1                   22                        0   \n",
       "3                          7                   17                        0   \n",
       "4                          1                   12                        0   \n",
       "\n",
       "   opponent.hand_count  opponent.played_minions_count  player.armor  \\\n",
       "0                    2                              1             0   \n",
       "1                    8                              1             0   \n",
       "2                    4                              2             1   \n",
       "3                    7                              0             0   \n",
       "4                    3                              4             0   \n",
       "\n",
       "   player.attack  player.hero_card_id  player.hp  player.special_skill_used  \\\n",
       "0              0                  981         17                          1   \n",
       "1              0                  754         29                          0   \n",
       "2              0                  612         30                          0   \n",
       "3              0                  981         26                          0   \n",
       "4              0                  494          8                          0   \n",
       "\n",
       "   player.weapon_durability  player.crystals_all  player.crystals_current  \\\n",
       "0                         0                   10                        0   \n",
       "1                         0                    7                        0   \n",
       "2                         0                    6                        5   \n",
       "3                         0                    8                        8   \n",
       "4                         0                   10                       10   \n",
       "\n",
       "   player.deck_count  player.fatigue_damage  player.hand_count  \\\n",
       "0                 12                      0                  5   \n",
       "1                 18                      0                  7   \n",
       "2                 22                      0                  5   \n",
       "3                 19                      0                  9   \n",
       "4                 14                      0                  4   \n",
       "\n",
       "   player.played_minions_count  opponent.played.nOfCards  \\\n",
       "0                            5                         1   \n",
       "1                            5                         1   \n",
       "2                            0                         2   \n",
       "3                            1                         0   \n",
       "4                            1                         4   \n",
       "\n",
       "   opponent.played.attack  opponent.played.crystals_cost  \\\n",
       "0                       2                              4   \n",
       "1                       2                              4   \n",
       "2                       8                              5   \n",
       "3                       0                              0   \n",
       "4                      15                             14   \n",
       "\n",
       "   opponent.played.hp_current  opponent.played.hp_max  player.played.nOfCards  \\\n",
       "0                           6                       8                       5   \n",
       "1                           2                       4                       5   \n",
       "2                           8                       8                       0   \n",
       "3                           0                       0                       1   \n",
       "4                          16                      16                       1   \n",
       "\n",
       "   player.played.attack  player.played.crystals_cost  \\\n",
       "0                    21                           20   \n",
       "1                    10                           16   \n",
       "2                     0                            0   \n",
       "3                     3                            2   \n",
       "4                     6                            6   \n",
       "\n",
       "   player.played.hp_current  player.played.hp_max  player.hand.nOfMinions  \\\n",
       "0                        20                    23                       4   \n",
       "1                        16                    17                       3   \n",
       "2                         0                     0                       5   \n",
       "3                         2                     2                       7   \n",
       "4                         7                     7                       4   \n",
       "\n",
       "   player.hand.nOfSpells  player.hand.nOfWeapons  player.hand.nOfCards  \\\n",
       "0                      0                       1                     5   \n",
       "1                      2                       2                     7   \n",
       "2                      0                       0                     5   \n",
       "3                      1                       1                     9   \n",
       "4                      0                       0                     4   \n",
       "\n",
       "   player.hand.nOfPlayable  player.hand.attack  player.hand.crystals_cost  \\\n",
       "0                        0                  20                         22   \n",
       "1                        0                  17                         26   \n",
       "2                        2                  26                         28   \n",
       "3                        9                  36                         44   \n",
       "4                        4                  13                         13   \n",
       "\n",
       "   player.hand.hp opponent_hero_name player_hero_name  opponent.hp.armor  \\\n",
       "0              17             priest          paladin                  5   \n",
       "1              20              rogue            rogue                 22   \n",
       "2              27              druid            druid                 32   \n",
       "3              36            warlock          paladin                 26   \n",
       "4              14             shaman             mage                 30   \n",
       "\n",
       "   player.hp.armor  diff.hp.armor  \n",
       "0               17             12  \n",
       "1               29              7  \n",
       "2               31             -1  \n",
       "3               26              0  \n",
       "4                8            -22  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# use only meaningful columns\n",
    "columns = [\n",
    "    'player_hero_name',\n",
    "    'opponent_hero_name',\n",
    "    'turn',\n",
    "    'player.hp.armor',\n",
    "    'player.attack',\n",
    "    'player.special_skill_used',\n",
    "    'player.weapon_durability',\n",
    "    'player.crystals_all',\n",
    "    'player.crystals_current',\n",
    "    'player.deck_count',\n",
    "    'player.fatigue_damage',\n",
    "    'player.hand_count',\n",
    "    'player.played_minions_count',\n",
    "    'player.played.nOfCards',\n",
    "    'player.played.attack',\n",
    "    'player.played.crystals_cost',\n",
    "    'player.played.hp_current',\n",
    "    'player.played.hp_max',\n",
    "    'player.hand.nOfMinions',\n",
    "    'player.hand.nOfSpells',\n",
    "    'player.hand.nOfWeapons',\n",
    "    'player.hand.nOfCards',\n",
    "    'player.hand.nOfPlayable',\n",
    "    'player.hand.attack',\n",
    "    'player.hand.crystals_cost',\n",
    "    'player.hand.hp',\n",
    "    'opponent.hp.armor',\n",
    "    'opponent.attack',\n",
    "    'opponent.special_skill_used',\n",
    "    'opponent.weapon_durability',\n",
    "    'opponent.crystals_all',\n",
    "    'opponent.crystals_current',\n",
    "    'opponent.deck_count',\n",
    "    'opponent.fatigue_damage',\n",
    "    'opponent.hand_count',\n",
    "    'opponent.played_minions_count',\n",
    "    'opponent.played.nOfCards',\n",
    "    'opponent.played.attack',\n",
    "    'opponent.played.crystals_cost',\n",
    "    'opponent.played.hp_current',\n",
    "    'opponent.played.hp_max',\n",
    "    'decision'\n",
    "]\n",
    "df = df_all[columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Выпрямим средние на боксплотах здоровья от хода:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "df['player.log.hp.armor'] = np.log(1 + df['player.hp.armor'])\n",
    "df['opponent.log.hp.armor'] = np.log(1 + df['opponent.hp.armor'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 10))\n",
    "sns.boxplot(y='turn', x='player.log.hp.armor', data=df, orient='h', palette='Set2')\n",
    "plt.xticks(rotation='vertical');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 10))\n",
    "sns.boxplot(y='turn', x='opponent.log.hp.armor', data=df, orient='h', palette='Set2')\n",
    "plt.xticks(rotation='vertical');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fea7c144f28>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(10,10)\n",
    "sns.heatmap(df.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "player.hp.armor    0.17779\n",
      "dtype: float64\n",
      "player.log.hp.armor    0.190393\n",
      "dtype: float64\n",
      "opponent.hp.armor   -0.208921\n",
      "dtype: float64\n",
      "opponent.log.hp.armor   -0.219481\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(df[['player.hp.armor']].corrwith(df['decision']))\n",
    "print(df[['player.log.hp.armor']].corrwith(df['decision']))\n",
    "print(df[['opponent.hp.armor']].corrwith(df['decision']))\n",
    "print(df[['opponent.log.hp.armor']].corrwith(df['decision']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Объединим сильно коррелирующие друг с другом признаки."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/ipykernel_launcher.py:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/ipykernel_launcher.py:22: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/ipykernel_launcher.py:23: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/ipykernel_launcher.py:24: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/ipykernel_launcher.py:25: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
     ]
    }
   ],
   "source": [
    "player_most_corr = [\n",
    "    'player.played_minions_count',\n",
    "    'player.played.nOfCards',\n",
    "    'player.played.attack',\n",
    "    'player.played.crystals_cost',\n",
    "    'player.played.hp_current',\n",
    "    'player.played.hp_max',\n",
    "]\n",
    "\n",
    "opponent_most_corr = [\n",
    "    'opponent.played_minions_count',\n",
    "    'opponent.played.nOfCards',\n",
    "    'opponent.played.attack',\n",
    "    'opponent.played.crystals_cost',\n",
    "    'opponent.played.hp_current',\n",
    "    'opponent.played.hp_max',\n",
    "]\n",
    "\n",
    "for label in player_most_corr + opponent_most_corr:\n",
    "    df[label] = (df[label] - df[label].mean()) / df[label].std()\n",
    "\n",
    "df['player.played.mean'] = df[player_most_corr].mean(axis=1)\n",
    "df['player.played.std'] = df[player_most_corr].std(axis=1)\n",
    "df['opponent.played.mean'] = df[opponent_most_corr].mean(axis=1)\n",
    "df['opponent.played.std'] = df[opponent_most_corr].std(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/pandas/core/frame.py:4102: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  errors=errors,\n"
     ]
    }
   ],
   "source": [
    "df.drop(player_most_corr + opponent_most_corr, axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fea9f90bdd8>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(10,10)\n",
    "sns.heatmap(df.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  after removing the cwd from sys.path.\n",
      "/home/nikolai/Projects/MIPT-ML-Fall-2019/env/lib/python3.7/site-packages/ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"\n"
     ]
    }
   ],
   "source": [
    "#OHE\n",
    "\n",
    "for name in heroes.values():\n",
    "    df[f'player.{name}'] = (df['player_hero_name'] == name).astype(np.int8)\n",
    "    df[f'opponent.{name}'] = (df['opponent_hero_name'] == name).astype(np.int8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fea99817828>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(10,10)\n",
    "sns.heatmap(df.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Scaling\n",
    "to_scale = [\n",
    "    'turn',\n",
    "    'player.hp.armor',\n",
    "    'player.attack',\n",
    "    'player.special_skill_used', \n",
    "    'player.weapon_durability',\n",
    "    'player.crystals_all',\n",
    "    'player.crystals_current',\n",
    "    'player.deck_count',\n",
    "    'player.fatigue_damage',\n",
    "    'player.hand_count',\n",
    "    'player.hand.nOfMinions',\n",
    "    'player.hand.nOfSpells',\n",
    "    'player.hand.nOfWeapons',\n",
    "    'player.hand.nOfCards',\n",
    "    'player.hand.nOfPlayable',\n",
    "    'player.hand.attack',\n",
    "    'player.hand.crystals_cost',\n",
    "    'player.hand.hp',\n",
    "    'opponent.hp.armor',\n",
    "    'opponent.attack',\n",
    "    'opponent.special_skill_used',\n",
    "    'opponent.weapon_durability',\n",
    "    'opponent.crystals_all',\n",
    "    'opponent.crystals_current',\n",
    "    'opponent.deck_count',\n",
    "    'opponent.fatigue_damage',\n",
    "    'opponent.hand_count',\n",
    "    'player.log.hp.armor',\n",
    "    'opponent.log.hp.armor',\n",
    "    'player.played.mean',\n",
    "    'player.played.std',\n",
    "    'opponent.played.mean',\n",
    "    'opponent.played.std',\n",
    "    'player.shaman',\n",
    "    'opponent.shaman',\n",
    "    'player.hunter',\n",
    "    'opponent.hunter',\n",
    "    'player.warlock',\n",
    "    'opponent.warlock',\n",
    "    'player.mage',\n",
    "    'opponent.mage',\n",
    "    'player.druid',\n",
    "    'opponent.druid',\n",
    "    'player.rogue',\n",
    "    'opponent.rogue',\n",
    "    'player.priest',\n",
    "    'opponent.priest',\n",
    "    'player.paladin',\n",
    "    'opponent.paladin',\n",
    "    'player.warrior',\n",
    "    'opponent.warrior'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "for column in to_scale:\n",
    "    df[column] = (df[column] - df[column].mean()) / df[column].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.sample(10000, random_state=42)\n",
    "df_train, df_holdout = train_test_split(df, random_state=42, test_size=0.2, stratify=df['decision'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Настроить валидацию которая относит разные пары героев в разные фолды:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "folds = []\n",
    "for player_name in heroes.values():\n",
    "    for opponent_name in heroes.values():\n",
    "        folds.append((\n",
    "            df_train[(df_train['player_hero_name'] != player_name) |\n",
    "                     (df_train['opponent_hero_name'] != opponent_name)].index,\n",
    "            df_train[(df_train['player_hero_name'] == player_name) & \n",
    "                     (df_train['opponent_hero_name'] == opponent_name)].index\n",
    "        ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "def CV(model, df, folds):\n",
    "    scores = np.zeros(len(folds))\n",
    "    for i, (train, test) in enumerate(tqdm(folds)):\n",
    "        train_X = df.loc[train].drop(['decision', 'player_hero_name', 'opponent_hero_name'], axis=1)\n",
    "        train_y = df.loc[train]['decision']\n",
    "        model.fit(train_X, train_y)\n",
    "        test_X = df.loc[test].drop(['decision', 'player_hero_name', 'opponent_hero_name'], axis=1)\n",
    "        test_y = df.loc[test]['decision']\n",
    "        scores[i] = roc_auc_score(test_y, model.predict_proba(test_X)[:, 1])\n",
    "    return scores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Обучить KNN, logistic regression, decision tree/random forest из sklearn и сравнить результат:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c1c70468837a46a9a7961160f52d47dd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=81), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "0.6676233176713327 0.04965444006706573\n"
     ]
    }
   ],
   "source": [
    "scores = CV(KNeighborsClassifier(), df_train, folds)\n",
    "print(scores.mean(), scores.std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f37afa595bb24a84b9390796d3d401dc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=81), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "0.7944725930147063 0.053549126292783245\n"
     ]
    }
   ],
   "source": [
    "scores = CV(LogisticRegression(solver='liblinear'), df_train, folds)\n",
    "print(scores.mean(), scores.std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "42277fc8fe8b40c39056e86ecacee205",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=81), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "0.6270055708165962 0.052734798859722314\n"
     ]
    }
   ],
   "source": [
    "scores = CV(DecisionTreeClassifier(), df_train, folds)\n",
    "print(scores.mean(), scores.std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cfbb94657eaf47b78b24bac6c7552dbc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=81), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "0.7681440756693851 0.054479186586881466\n"
     ]
    }
   ],
   "source": [
    "scores = CV(RandomForestClassifier(n_estimators=100), df_train, folds)\n",
    "print(scores.mean(), scores.std())"
   ]
  }
 ],
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