League of Legends Diamond Ranked Games Prediction of Victory/2021-09-22_League of Legend 10분 지표로 승리 예측.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8b9ab401",
   "metadata": {},
   "source": [
    "# League of Legend 승리 공식 분석 및 예측\n",
    "---------------\n",
    "\n",
    "## 데이터 출처\n",
    "[Kaggle lol Diamond Ranked games_10min](https://www.kaggle.com/bobbyscience/league-of-legends-diamond-ranked-games-10-min)\n",
    "        \n",
    "--------------"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c5905a3",
   "metadata": {},
   "source": [
    "# 라이브러리 및 데이터 로드"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "315e4bcb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "dc8da3a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"C:\\\\Users\\\\korea\\\\OneDrive\\\\바탕 화면\\\\DA\\\\high_diamond_ranked_10min.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8cdaf972",
   "metadata": {},
   "outputs": [
    {
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       "      <th>gameId</th>\n",
       "      <th>blueWins</th>\n",
       "      <th>blueWardsPlaced</th>\n",
       "      <th>blueWardsDestroyed</th>\n",
       "      <th>blueFirstBlood</th>\n",
       "      <th>blueKills</th>\n",
       "      <th>blueDeaths</th>\n",
       "      <th>blueAssists</th>\n",
       "      <th>blueEliteMonsters</th>\n",
       "      <th>blueDragons</th>\n",
       "      <th>...</th>\n",
       "      <th>redTowersDestroyed</th>\n",
       "      <th>redTotalGold</th>\n",
       "      <th>redAvgLevel</th>\n",
       "      <th>redTotalExperience</th>\n",
       "      <th>redTotalMinionsKilled</th>\n",
       "      <th>redTotalJungleMinionsKilled</th>\n",
       "      <th>redGoldDiff</th>\n",
       "      <th>redExperienceDiff</th>\n",
       "      <th>redCSPerMin</th>\n",
       "      <th>redGoldPerMin</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
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       "      <td>28</td>\n",
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       "      <td>11</td>\n",
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       "      <td>16567</td>\n",
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       "      <td>17047</td>\n",
       "      <td>197</td>\n",
       "      <td>55</td>\n",
       "      <td>-643</td>\n",
       "      <td>8</td>\n",
       "      <td>19.7</td>\n",
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       "      <td>1</td>\n",
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       "      <td>6.8</td>\n",
       "      <td>17438</td>\n",
       "      <td>240</td>\n",
       "      <td>52</td>\n",
       "      <td>2908</td>\n",
       "      <td>1173</td>\n",
       "      <td>24.0</td>\n",
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       "      <td>6.8</td>\n",
       "      <td>17254</td>\n",
       "      <td>203</td>\n",
       "      <td>28</td>\n",
       "      <td>1172</td>\n",
       "      <td>1033</td>\n",
       "      <td>20.3</td>\n",
       "      <td>1728.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4524384067</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
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       "      <td>16478</td>\n",
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       "      <td>17961</td>\n",
       "      <td>235</td>\n",
       "      <td>47</td>\n",
       "      <td>1321</td>\n",
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       "      <td>18313</td>\n",
       "      <td>225</td>\n",
       "      <td>67</td>\n",
       "      <td>1004</td>\n",
       "      <td>-230</td>\n",
       "      <td>22.5</td>\n",
       "      <td>1740.4</td>\n",
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       "<p>5 rows × 40 columns</p>\n",
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      ],
      "text/plain": [
       "       gameId  blueWins  blueWardsPlaced  blueWardsDestroyed  blueFirstBlood  \\\n",
       "0  4519157822         0               28                   2               1   \n",
       "1  4523371949         0               12                   1               0   \n",
       "2  4521474530         0               15                   0               0   \n",
       "3  4524384067         0               43                   1               0   \n",
       "4  4436033771         0               75                   4               0   \n",
       "\n",
       "   blueKills  blueDeaths  blueAssists  blueEliteMonsters  blueDragons  ...  \\\n",
       "0          9           6           11                  0            0  ...   \n",
       "1          5           5            5                  0            0  ...   \n",
       "2          7          11            4                  1            1  ...   \n",
       "3          4           5            5                  1            0  ...   \n",
       "4          6           6            6                  0            0  ...   \n",
       "\n",
       "   redTowersDestroyed  redTotalGold  redAvgLevel  redTotalExperience  \\\n",
       "0                   0         16567          6.8               17047   \n",
       "1                   1         17620          6.8               17438   \n",
       "2                   0         17285          6.8               17254   \n",
       "3                   0         16478          7.0               17961   \n",
       "4                   0         17404          7.0               18313   \n",
       "\n",
       "   redTotalMinionsKilled  redTotalJungleMinionsKilled  redGoldDiff  \\\n",
       "0                    197                           55         -643   \n",
       "1                    240                           52         2908   \n",
       "2                    203                           28         1172   \n",
       "3                    235                           47         1321   \n",
       "4                    225                           67         1004   \n",
       "\n",
       "   redExperienceDiff  redCSPerMin  redGoldPerMin  \n",
       "0                  8         19.7         1656.7  \n",
       "1               1173         24.0         1762.0  \n",
       "2               1033         20.3         1728.5  \n",
       "3                  7         23.5         1647.8  \n",
       "4               -230         22.5         1740.4  \n",
       "\n",
       "[5 rows x 40 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80b1067c",
   "metadata": {},
   "source": [
    "# EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0de37fff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9879 entries, 0 to 9878\n",
      "Data columns (total 40 columns):\n",
      " #   Column                        Non-Null Count  Dtype  \n",
      "---  ------                        --------------  -----  \n",
      " 0   gameId                        9879 non-null   int64  \n",
      " 1   blueWins                      9879 non-null   int64  \n",
      " 2   blueWardsPlaced               9879 non-null   int64  \n",
      " 3   blueWardsDestroyed            9879 non-null   int64  \n",
      " 4   blueFirstBlood                9879 non-null   int64  \n",
      " 5   blueKills                     9879 non-null   int64  \n",
      " 6   blueDeaths                    9879 non-null   int64  \n",
      " 7   blueAssists                   9879 non-null   int64  \n",
      " 8   blueEliteMonsters             9879 non-null   int64  \n",
      " 9   blueDragons                   9879 non-null   int64  \n",
      " 10  blueHeralds                   9879 non-null   int64  \n",
      " 11  blueTowersDestroyed           9879 non-null   int64  \n",
      " 12  blueTotalGold                 9879 non-null   int64  \n",
      " 13  blueAvgLevel                  9879 non-null   float64\n",
      " 14  blueTotalExperience           9879 non-null   int64  \n",
      " 15  blueTotalMinionsKilled        9879 non-null   int64  \n",
      " 16  blueTotalJungleMinionsKilled  9879 non-null   int64  \n",
      " 17  blueGoldDiff                  9879 non-null   int64  \n",
      " 18  blueExperienceDiff            9879 non-null   int64  \n",
      " 19  blueCSPerMin                  9879 non-null   float64\n",
      " 20  blueGoldPerMin                9879 non-null   float64\n",
      " 21  redWardsPlaced                9879 non-null   int64  \n",
      " 22  redWardsDestroyed             9879 non-null   int64  \n",
      " 23  redFirstBlood                 9879 non-null   int64  \n",
      " 24  redKills                      9879 non-null   int64  \n",
      " 25  redDeaths                     9879 non-null   int64  \n",
      " 26  redAssists                    9879 non-null   int64  \n",
      " 27  redEliteMonsters              9879 non-null   int64  \n",
      " 28  redDragons                    9879 non-null   int64  \n",
      " 29  redHeralds                    9879 non-null   int64  \n",
      " 30  redTowersDestroyed            9879 non-null   int64  \n",
      " 31  redTotalGold                  9879 non-null   int64  \n",
      " 32  redAvgLevel                   9879 non-null   float64\n",
      " 33  redTotalExperience            9879 non-null   int64  \n",
      " 34  redTotalMinionsKilled         9879 non-null   int64  \n",
      " 35  redTotalJungleMinionsKilled   9879 non-null   int64  \n",
      " 36  redGoldDiff                   9879 non-null   int64  \n",
      " 37  redExperienceDiff             9879 non-null   int64  \n",
      " 38  redCSPerMin                   9879 non-null   float64\n",
      " 39  redGoldPerMin                 9879 non-null   float64\n",
      "dtypes: float64(6), int64(34)\n",
      "memory usage: 3.0 MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "53258fca",
   "metadata": {},
   "outputs": [
    {
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       "      <th>blueEliteMonsters</th>\n",
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       "      <th>blueTowersDestroyed</th>\n",
       "      <th>blueTotalGold</th>\n",
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       "      <th>redWardsPlaced</th>\n",
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       "      <th>redKills</th>\n",
       "      <th>redDeaths</th>\n",
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       "      <th>redDragons</th>\n",
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       "      <th>redTowersDestroyed</th>\n",
       "      <th>redTotalGold</th>\n",
       "      <th>redAvgLevel</th>\n",
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       "      <td>9.879000e+03</td>\n",
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       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "      <td>9879.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.500084e+09</td>\n",
       "      <td>0.499038</td>\n",
       "      <td>22.288288</td>\n",
       "      <td>2.824881</td>\n",
       "      <td>0.504808</td>\n",
       "      <td>6.183925</td>\n",
       "      <td>6.137666</td>\n",
       "      <td>6.645106</td>\n",
       "      <td>0.549954</td>\n",
       "      <td>0.361980</td>\n",
       "      <td>0.187974</td>\n",
       "      <td>0.051422</td>\n",
       "      <td>16503.455512</td>\n",
       "      <td>6.916004</td>\n",
       "      <td>17928.110133</td>\n",
       "      <td>216.699565</td>\n",
       "      <td>50.509667</td>\n",
       "      <td>14.414111</td>\n",
       "      <td>-33.620306</td>\n",
       "      <td>21.669956</td>\n",
       "      <td>1650.345551</td>\n",
       "      <td>22.367952</td>\n",
       "      <td>2.723150</td>\n",
       "      <td>0.495192</td>\n",
       "      <td>6.137666</td>\n",
       "      <td>6.183925</td>\n",
       "      <td>6.662112</td>\n",
       "      <td>0.573135</td>\n",
       "      <td>0.413098</td>\n",
       "      <td>0.160036</td>\n",
       "      <td>0.043021</td>\n",
       "      <td>16489.041401</td>\n",
       "      <td>6.925316</td>\n",
       "      <td>17961.730438</td>\n",
       "      <td>217.349226</td>\n",
       "      <td>51.313088</td>\n",
       "      <td>-14.414111</td>\n",
       "      <td>33.620306</td>\n",
       "      <td>21.734923</td>\n",
       "      <td>1648.904140</td>\n",
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       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.757328e+07</td>\n",
       "      <td>0.500024</td>\n",
       "      <td>18.019177</td>\n",
       "      <td>2.174998</td>\n",
       "      <td>0.500002</td>\n",
       "      <td>3.011028</td>\n",
       "      <td>2.933818</td>\n",
       "      <td>4.064520</td>\n",
       "      <td>0.625527</td>\n",
       "      <td>0.480597</td>\n",
       "      <td>0.390712</td>\n",
       "      <td>0.244369</td>\n",
       "      <td>1535.446636</td>\n",
       "      <td>0.305146</td>\n",
       "      <td>1200.523764</td>\n",
       "      <td>21.858437</td>\n",
       "      <td>9.898282</td>\n",
       "      <td>2453.349179</td>\n",
       "      <td>1920.370438</td>\n",
       "      <td>2.185844</td>\n",
       "      <td>153.544664</td>\n",
       "      <td>18.457427</td>\n",
       "      <td>2.138356</td>\n",
       "      <td>0.500002</td>\n",
       "      <td>2.933818</td>\n",
       "      <td>3.011028</td>\n",
       "      <td>4.060612</td>\n",
       "      <td>0.626482</td>\n",
       "      <td>0.492415</td>\n",
       "      <td>0.366658</td>\n",
       "      <td>0.216900</td>\n",
       "      <td>1490.888406</td>\n",
       "      <td>0.305311</td>\n",
       "      <td>1198.583912</td>\n",
       "      <td>21.911668</td>\n",
       "      <td>10.027885</td>\n",
       "      <td>2453.349179</td>\n",
       "      <td>1920.370438</td>\n",
       "      <td>2.191167</td>\n",
       "      <td>149.088841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.295358e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10730.000000</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>10098.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-10830.000000</td>\n",
       "      <td>-9333.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1073.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11212.000000</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>10465.000000</td>\n",
       "      <td>107.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>-11467.000000</td>\n",
       "      <td>-8348.000000</td>\n",
       "      <td>10.700000</td>\n",
       "      <td>1121.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.483301e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>15415.500000</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>17168.000000</td>\n",
       "      <td>202.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>-1585.500000</td>\n",
       "      <td>-1290.500000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>1541.550000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>15427.500000</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>17209.500000</td>\n",
       "      <td>203.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>-1596.000000</td>\n",
       "      <td>-1212.000000</td>\n",
       "      <td>20.300000</td>\n",
       "      <td>1542.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.510920e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>16398.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>17951.000000</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>-28.000000</td>\n",
       "      <td>21.800000</td>\n",
       "      <td>1639.800000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>16378.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>17974.000000</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>51.000000</td>\n",
       "      <td>-14.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>21.800000</td>\n",
       "      <td>1637.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.521733e+09</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>17459.000000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>18724.000000</td>\n",
       "      <td>232.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>1596.000000</td>\n",
       "      <td>1212.000000</td>\n",
       "      <td>23.200000</td>\n",
       "      <td>1745.900000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>17418.500000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>18764.500000</td>\n",
       "      <td>233.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>1585.500000</td>\n",
       "      <td>1290.500000</td>\n",
       "      <td>23.300000</td>\n",
       "      <td>1741.850000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.527991e+09</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>250.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>23701.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>22224.000000</td>\n",
       "      <td>283.000000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>11467.000000</td>\n",
       "      <td>8348.000000</td>\n",
       "      <td>28.300000</td>\n",
       "      <td>2370.100000</td>\n",
       "      <td>276.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>22732.000000</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>22269.000000</td>\n",
       "      <td>289.000000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>10830.000000</td>\n",
       "      <td>9333.000000</td>\n",
       "      <td>28.900000</td>\n",
       "      <td>2273.200000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             gameId     blueWins  blueWardsPlaced  blueWardsDestroyed  \\\n",
       "count  9.879000e+03  9879.000000      9879.000000         9879.000000   \n",
       "mean   4.500084e+09     0.499038        22.288288            2.824881   \n",
       "std    2.757328e+07     0.500024        18.019177            2.174998   \n",
       "min    4.295358e+09     0.000000         5.000000            0.000000   \n",
       "25%    4.483301e+09     0.000000        14.000000            1.000000   \n",
       "50%    4.510920e+09     0.000000        16.000000            3.000000   \n",
       "75%    4.521733e+09     1.000000        20.000000            4.000000   \n",
       "max    4.527991e+09     1.000000       250.000000           27.000000   \n",
       "\n",
       "       blueFirstBlood    blueKills   blueDeaths  blueAssists  \\\n",
       "count     9879.000000  9879.000000  9879.000000  9879.000000   \n",
       "mean         0.504808     6.183925     6.137666     6.645106   \n",
       "std          0.500002     3.011028     2.933818     4.064520   \n",
       "min          0.000000     0.000000     0.000000     0.000000   \n",
       "25%          0.000000     4.000000     4.000000     4.000000   \n",
       "50%          1.000000     6.000000     6.000000     6.000000   \n",
       "75%          1.000000     8.000000     8.000000     9.000000   \n",
       "max          1.000000    22.000000    22.000000    29.000000   \n",
       "\n",
       "       blueEliteMonsters  blueDragons  blueHeralds  blueTowersDestroyed  \\\n",
       "count        9879.000000  9879.000000  9879.000000          9879.000000   \n",
       "mean            0.549954     0.361980     0.187974             0.051422   \n",
       "std             0.625527     0.480597     0.390712             0.244369   \n",
       "min             0.000000     0.000000     0.000000             0.000000   \n",
       "25%             0.000000     0.000000     0.000000             0.000000   \n",
       "50%             0.000000     0.000000     0.000000             0.000000   \n",
       "75%             1.000000     1.000000     0.000000             0.000000   \n",
       "max             2.000000     1.000000     1.000000             4.000000   \n",
       "\n",
       "       blueTotalGold  blueAvgLevel  blueTotalExperience  \\\n",
       "count    9879.000000   9879.000000          9879.000000   \n",
       "mean    16503.455512      6.916004         17928.110133   \n",
       "std      1535.446636      0.305146          1200.523764   \n",
       "min     10730.000000      4.600000         10098.000000   \n",
       "25%     15415.500000      6.800000         17168.000000   \n",
       "50%     16398.000000      7.000000         17951.000000   \n",
       "75%     17459.000000      7.200000         18724.000000   \n",
       "max     23701.000000      8.000000         22224.000000   \n",
       "\n",
       "       blueTotalMinionsKilled  blueTotalJungleMinionsKilled  blueGoldDiff  \\\n",
       "count             9879.000000                   9879.000000   9879.000000   \n",
       "mean               216.699565                     50.509667     14.414111   \n",
       "std                 21.858437                      9.898282   2453.349179   \n",
       "min                 90.000000                      0.000000 -10830.000000   \n",
       "25%                202.000000                     44.000000  -1585.500000   \n",
       "50%                218.000000                     50.000000     14.000000   \n",
       "75%                232.000000                     56.000000   1596.000000   \n",
       "max                283.000000                     92.000000  11467.000000   \n",
       "\n",
       "       blueExperienceDiff  blueCSPerMin  blueGoldPerMin  redWardsPlaced  \\\n",
       "count         9879.000000   9879.000000     9879.000000     9879.000000   \n",
       "mean           -33.620306     21.669956     1650.345551       22.367952   \n",
       "std           1920.370438      2.185844      153.544664       18.457427   \n",
       "min          -9333.000000      9.000000     1073.000000        6.000000   \n",
       "25%          -1290.500000     20.200000     1541.550000       14.000000   \n",
       "50%            -28.000000     21.800000     1639.800000       16.000000   \n",
       "75%           1212.000000     23.200000     1745.900000       20.000000   \n",
       "max           8348.000000     28.300000     2370.100000      276.000000   \n",
       "\n",
       "       redWardsDestroyed  redFirstBlood     redKills    redDeaths  \\\n",
       "count        9879.000000    9879.000000  9879.000000  9879.000000   \n",
       "mean            2.723150       0.495192     6.137666     6.183925   \n",
       "std             2.138356       0.500002     2.933818     3.011028   \n",
       "min             0.000000       0.000000     0.000000     0.000000   \n",
       "25%             1.000000       0.000000     4.000000     4.000000   \n",
       "50%             2.000000       0.000000     6.000000     6.000000   \n",
       "75%             4.000000       1.000000     8.000000     8.000000   \n",
       "max            24.000000       1.000000    22.000000    22.000000   \n",
       "\n",
       "        redAssists  redEliteMonsters   redDragons   redHeralds  \\\n",
       "count  9879.000000       9879.000000  9879.000000  9879.000000   \n",
       "mean      6.662112          0.573135     0.413098     0.160036   \n",
       "std       4.060612          0.626482     0.492415     0.366658   \n",
       "min       0.000000          0.000000     0.000000     0.000000   \n",
       "25%       4.000000          0.000000     0.000000     0.000000   \n",
       "50%       6.000000          0.000000     0.000000     0.000000   \n",
       "75%       9.000000          1.000000     1.000000     0.000000   \n",
       "max      28.000000          2.000000     1.000000     1.000000   \n",
       "\n",
       "       redTowersDestroyed  redTotalGold  redAvgLevel  redTotalExperience  \\\n",
       "count         9879.000000   9879.000000  9879.000000         9879.000000   \n",
       "mean             0.043021  16489.041401     6.925316        17961.730438   \n",
       "std              0.216900   1490.888406     0.305311         1198.583912   \n",
       "min              0.000000  11212.000000     4.800000        10465.000000   \n",
       "25%              0.000000  15427.500000     6.800000        17209.500000   \n",
       "50%              0.000000  16378.000000     7.000000        17974.000000   \n",
       "75%              0.000000  17418.500000     7.200000        18764.500000   \n",
       "max              2.000000  22732.000000     8.200000        22269.000000   \n",
       "\n",
       "       redTotalMinionsKilled  redTotalJungleMinionsKilled   redGoldDiff  \\\n",
       "count            9879.000000                  9879.000000   9879.000000   \n",
       "mean              217.349226                    51.313088    -14.414111   \n",
       "std                21.911668                    10.027885   2453.349179   \n",
       "min               107.000000                     4.000000 -11467.000000   \n",
       "25%               203.000000                    44.000000  -1596.000000   \n",
       "50%               218.000000                    51.000000    -14.000000   \n",
       "75%               233.000000                    57.000000   1585.500000   \n",
       "max               289.000000                    92.000000  10830.000000   \n",
       "\n",
       "       redExperienceDiff  redCSPerMin  redGoldPerMin  \n",
       "count        9879.000000  9879.000000    9879.000000  \n",
       "mean           33.620306    21.734923    1648.904140  \n",
       "std          1920.370438     2.191167     149.088841  \n",
       "min         -8348.000000    10.700000    1121.200000  \n",
       "25%         -1212.000000    20.300000    1542.750000  \n",
       "50%            28.000000    21.800000    1637.800000  \n",
       "75%          1290.500000    23.300000    1741.850000  \n",
       "max          9333.000000    28.900000    2273.200000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', 500)\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f46d5c33",
   "metadata": {},
   "source": [
    "## Correlation heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "72a6e550",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(5,10))\n",
    "sns.heatmap(df.corr()[['blueWins']], annot=True, cmap='coolwarm', vmax=1, vmin=-1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b83a2d0",
   "metadata": {},
   "source": [
    "## 승리 여부와 피쳐들간의 관계 시각화"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fb5bfc8",
   "metadata": {},
   "source": [
    "상관성이 높았던 피쳐 위주"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b639901",
   "metadata": {},
   "source": [
    "### Numerical data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "94749c49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['gameId', 'blueWins', 'blueWardsPlaced', 'blueWardsDestroyed',\n",
       "       'blueFirstBlood', 'blueKills', 'blueDeaths', 'blueAssists',\n",
       "       'blueEliteMonsters', 'blueDragons', 'blueHeralds',\n",
       "       'blueTowersDestroyed', 'blueTotalGold', 'blueAvgLevel',\n",
       "       'blueTotalExperience', 'blueTotalMinionsKilled',\n",
       "       'blueTotalJungleMinionsKilled', 'blueGoldDiff', 'blueExperienceDiff',\n",
       "       'blueCSPerMin', 'blueGoldPerMin', 'redWardsPlaced', 'redWardsDestroyed',\n",
       "       'redFirstBlood', 'redKills', 'redDeaths', 'redAssists',\n",
       "       'redEliteMonsters', 'redDragons', 'redHeralds', 'redTowersDestroyed',\n",
       "       'redTotalGold', 'redAvgLevel', 'redTotalExperience',\n",
       "       'redTotalMinionsKilled', 'redTotalJungleMinionsKilled', 'redGoldDiff',\n",
       "       'redExperienceDiff', 'redCSPerMin', 'redGoldPerMin'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b9e87451",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='blueWardsPlaced', ylabel='Count'>"
      ]
     },
     "execution_count": 13,
     "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": [
    "# 와드 갯수와 승리 여부 관계\n",
    "sns.histplot(data=df.loc[df['blueWardsPlaced']<50], x='blueWardsPlaced', hue='blueWins', palette='RdBu', kde=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20840d2f",
   "metadata": {},
   "source": [
    "diamond rank 구간이라 그런지 와드개수에 대해서는 유의미한 관계가 보이지 않는 듯<br/>\n",
    "확실히 상관성이 높은 피쳐 위주로 시각화를 진행하는 것이 좋을 듯 하다"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b08a1621",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='blueGoldDiff', ylabel='Count'>"
      ]
     },
     "execution_count": 14,
     "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": [
    "# 10분 골드차이\n",
    "sns.histplot(data=df, x='blueGoldDiff', hue='blueWins', palette='RdBu', kde=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0676a25d",
   "metadata": {},
   "source": [
    "확실히 골드차이는 아이템 차이로 이어지기에 승리에 영향을 줌"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8af37541",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='blueKills', ylabel='Count'>"
      ]
     },
     "execution_count": 15,
     "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": [
    "# 10분 킬 수\n",
    "sns.histplot(data=df, x='blueKills', hue='blueWins', palette='RdBu', kde=True, bins=8)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d57d7b6d",
   "metadata": {},
   "source": [
    "초반 5킬까지는 승패에 크게 영향을 주지는 않아보임"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8ea3199c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1953d392cd0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 10분 킬 수와 10분 골드 차이\n",
    "sns.jointplot(data=df, x='blueKills', y='blueGoldDiff', hue='blueWins')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b7c9d566",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1953d5c9a00>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 10분 경험치 차이, 10분 골드 차이\n",
    "sns.jointplot(data=df, x='blueExperienceDiff', y='blueGoldDiff', hue='blueWins')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "405b8760",
   "metadata": {},
   "source": [
    "### Categorical data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "892a53f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='blueDragons', ylabel='count'>"
      ]
     },
     "execution_count": 18,
     "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": [
    "# 10분 드래곤 갯수\n",
    "sns.countplot(data=df, x='blueDragons', hue='blueWins', palette='RdBu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "36925cd4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='redDragons', ylabel='count'>"
      ]
     },
     "execution_count": 20,
     "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": [
    "sns.countplot(data=df, x='redDragons', hue='blueWins', palette='RdBu')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ef72c4b",
   "metadata": {},
   "source": [
    "blue사이드가 드래곤을 처치하는 비율과 red사이드가 드래곤을 처치하는 비율의 차이를 확인<br/>\n",
    "10분 초반 지표라 데이터 밸런스가 좋지 않은 듯"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4a4315d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='blueFirstBlood', ylabel='count'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAEGCAYAAACUzrmNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAX8UlEQVR4nO3dfbBU9Z3n8fdXxOAsuiMPusjFAZVxRQKoV0QhrmuswFKuEvOwmE3EqMWsSzYmcZPSSaomOkWV2Zr4QBy1MBpxJuIQHSNr1IyycbMKkVwN8QGWEh8Wr7KAaFZiRiP43T/6gO2luafB27cvt9+vqq4+53uevm0hH875nT4dmYkkSd3Zr9kNSJL6PsNCklTKsJAklTIsJEmlDAtJUqn9m91AowwbNixHjx7d7DYkaZ/y5JNPvp6Zw7vW+21YjB49mo6Ojma3IUn7lIj4P7XqXoaSJJUyLCRJpQwLSVKpfjtmIe2J9957j87OTt55551mt9JjBg0aRFtbGwMHDmx2K+oHDAsJ6Ozs5KCDDmL06NFERLPb+cgyky1bttDZ2cmYMWOa3Y76gYZdhoqIQRGxMiJ+GxHPRcSVRX1IRDwcEc8X74dUbXNFRKyLiLURMb2qfmJEPFMsWxD94f9m9SnvvPMOQ4cO7RdBARARDB06tF+dKam5Gjlm8S5wRmZOBCYBMyJiCnA5sCwzxwLLinkiYhwwGzgOmAHcGBEDin3dBMwFxhavGQ3sWy2qvwTFDv3t86i5GhYWWfH7YnZg8UrgHGBRUV8EzCqmzwHuysx3M/MlYB0wOSJGAAdn5oqsPE/9jqptJEm9oKF3Q0XEgIhYBWwCHs7MJ4DDMnMDQPF+aLH6SOCVqs07i9rIYrprvdbx5kZER0R0bN68uUc/i1rPyy+/zPjx43epn3766Xv1hc/MZNiwYbz55psAbNiwgYjgscce27nO8OHD2bJlCxdffDGrV6/e++alHtbQAe7M3A5Miog/Be6NiF3/z/tArXPm7KZe63gLgYUA7e3t/qqT+pSI4OSTT2bFihXMnDmT5cuXc/zxx7N8+XKmTZvG2rVrGTZsGEOHDuWHP/xhs9vdZ/z0qRea3UKfMeuEoxq27175nkVm/g54lMpYw8bi0hLF+6ZitU5gVNVmbcBrRb2tRl1quG3btjFnzhwmTJjAZz/7Wf7whz98aPngwYN3Tt99991ccMEFAGzevJnPfOYznHTSSZx00kk8/vjjAEydOpXly5cDsHz5cr7xjW+wYsWKnfOnnnoq8OGzl8GDB/Ptb3+biRMnMmXKFDZu3AjAT37yE8aPH8/EiRM57bTTGvcfQaKBZxYRMRx4LzN/FxEHAmcC3wOWAnOAq4v3+4pNlgJ3RsQ1wOFUBrJXZub2iNhaDI4/AZwP/KBRfe/w+iN3NvoQ+4xhZ36h2S00zdq1a7n11luZOnUqF154ITfeeGNd21166aV8/etfZ9q0aaxfv57p06ezZs0aTj31VK666ioAVq5cyZVXXsl1110HVMJi6tSpu+zr7bffZsqUKcyfP59vfetb3HLLLXznO9/hqquu4uc//zkjR47kd7/7XU99ZKmmRl6GGgEsKu5o2g9Ykpn3R8QKYElEXASsBz4HkJnPRcQSYDWwDZhXXMYCuAS4HTgQeLB4SQ03atSonX+Bf/GLX2TBggV1bffII498aMzhrbfeYuvWrUyePJnf/OY3vP3227z33nsMHjyYI488knXr1rF8+XIuu+yyXfZ1wAEHcNZZZwFw4okn8vDDDwOVs5QLLriAz3/+85x77rkf9aNK3WpYWGTm08DxNepbgE/uZpv5wPwa9Q6gu/EOqSG63n7a3Xz1dxref/99VqxYwYEHHrjLPo8++mhuu+02TjjhBACmTJnCAw88wKZNmzjmmGN2WX/gwIE7jzNgwAC2bdsGwM0338wTTzzBz372MyZNmsSqVasYOnToXn5SqXs+G0rqxvr163eOKSxevJhp06Z9aPlhhx3GmjVreP/997n33nt31j/1qU9xww037JxftWrVzumpU6dy3XXXccoppwBwyimncP311zNlypQ9+m7ECy+8wMknn8xVV13FsGHDeOWVV8o3kvaSYSF149hjj2XRokVMmDCBN954g0suueRDy6+++mrOOusszjjjDEaMGLGzvmDBAjo6OpgwYQLjxo3j5ptv3rls6tSpvPjiizvD4oQTTqCzs3Pn4Ha9vvnNb/Lxj3+c8ePHc9pppzFx4sSP8Eml7kXle279T3t7e36UHz9ygPsDrTDAvWbNGo499thmt9Hj+uvnquatsx/oiVtnI+LJzGzvWvfMQpJUyrCQJJUyLCRJpQwLSVIpw0KSVMqwkCSV8mdVpT3Q07dU13tb8kMPPcSll17K9u3bufjii7n88st7tA+pjGcWUh+3fft25s2bx4MPPsjq1atZvHixv3WhXmdYSH3cypUrOfrooznyyCM54IADmD17Nvfdd1/5hlIPMiykPu7VV19l1KgPfuqlra2NV199tYkdqRUZFlIfV+uRPHvywEGpJxgWUh/X1tb2oSfKdnZ2cvjhhzexI7Uiw0Lq40466SSef/55XnrpJf74xz9y1113cfbZZze7LbUYb52V9kAznsC7//77c8MNNzB9+nS2b9/OhRdeyHHHHdfrfai1GRbSPmDmzJnMnDmz2W2ohXkZSpJUyrCQJJUyLCRJpQwLSVIpw0KSVMqwkCSV8tZZaQ/89KkXenR/s044qnSdCy+8kPvvv59DDz2UZ599tkePL9WrYWcWETEqIn4REWsi4rmIuLSofzciXo2IVcVrZtU2V0TEuohYGxHTq+onRsQzxbIF4YNx1EIuuOACHnrooWa3oRbXyMtQ24DLMvNYYAowLyLGFcuuzcxJxesBgGLZbOA4YAZwY0QMKNa/CZgLjC1eMxrYt9SnnHbaaQwZMqTZbajFNSwsMnNDZj5VTG8F1gAju9nkHOCuzHw3M18C1gGTI2IEcHBmrsjK4zfvAGY1qm9J0q56ZYA7IkYDxwNPFKWvRMTTEXFbRBxS1EYCr1Rt1lnURhbTXeu1jjM3IjoiomPz5s09+REkqaU1PCwiYjBwD/C1zHyLyiWlo4BJwAbg+ztWrbF5dlPftZi5MDPbM7N9+PDhH7V1SVKhoWEREQOpBMWPM/MfATJzY2Zuz8z3gVuAycXqncCoqs3bgNeKeluNuiSplzTs1tnijqVbgTWZeU1VfURmbihmPw3suBdwKXBnRFwDHE5lIHtlZm6PiK0RMYXKZazzgR80qm+pO/Xc6trTzjvvPB599FFef/112trauPLKK7nooot6vQ+1tkZ+z2Iq8CXgmYhYVdT+EjgvIiZRuZT0MvAXAJn5XEQsAVZTuZNqXmZuL7a7BLgdOBB4sHhJLWHx4sXNbkFqXFhk5mPUHm94oJtt5gPza9Q7gPE9150kaU/4uA9JUinDQipUvsbTf/S3z6PmMiwkYNCgQWzZsqXf/AWbmWzZsoVBgwY1uxX1Ez5IUALa2tro7OykP32Zc9CgQbS1tZWvKNXBsJCAgQMHMmbMmGa3IfVZXoaSJJUyLCRJpQwLSVIpw0KSVMqwkCSVMiwkSaUMC0lSKcNCklTKsJAklTIsJEmlDAtJUinDQpJUyrCQJJUyLCRJpQwLSVIpw0KSVMqwkCSVMiwkSaUMC0lSKcNCklTKsJAklWpYWETEqIj4RUSsiYjnIuLSoj4kIh6OiOeL90OqtrkiItZFxNqImF5VPzEinimWLYiIaFTfkqRdNfLMYhtwWWYeC0wB5kXEOOByYFlmjgWWFfMUy2YDxwEzgBsjYkCxr5uAucDY4jWjgX1LkrpoWFhk5obMfKqY3gqsAUYC5wCLitUWAbOK6XOAuzLz3cx8CVgHTI6IEcDBmbkiMxO4o2obSVIv2L83DhIRo4HjgSeAwzJzA1QCJSIOLVYbCfyqarPOovZeMd21Xus4c6mcgXDEEUf04CeQ+pbXH7mz2S30HUNObnYHLaHhA9wRMRi4B/haZr7V3ao1atlNfddi5sLMbM/M9uHDh+95s5KkmhoaFhExkEpQ/Dgz/7EobywuLVG8byrqncCoqs3bgNeKeluNuiSplzTybqgAbgXWZOY1VYuWAnOK6TnAfVX12RHxsYgYQ2Uge2VxyWprREwp9nl+1TaSpF7QyDGLqcCXgGciYlVR+0vgamBJRFwErAc+B5CZz0XEEmA1lTup5mXm9mK7S4DbgQOBB4uXeslPn3qh2S30GbNOOKrZLUhN0bCwyMzHqD3eAPDJ3WwzH5hfo94BjO+57iRJe8JvcEuSShkWkqRShoUkqZRhIUkqZVhIkkoZFpKkUoaFJKmUYSFJKmVYSJJKGRaSpFKGhSSplGEhSSplWEiSStUVFhGxrJ6aJKl/6vYR5RExCPgTYFhEHMIHjxw/GDi8wb1JkvqIst+z+Avga1SC4Uk+CIu3gL9tXFuSpL6k27DIzOuB6yPiv2TmD3qpJ0lSH1PXL+Vl5g8i4lRgdPU2mXlHg/qSJPUhdYVFRPwdcBSwCtjxu9gJGBaS1ALq/Q3udmBcZmYjm5Ek9U31fs/iWeBfNbIRSVLfVe+ZxTBgdUSsBN7dUczMsxvSlSSpT6k3LL7byCYkSX1bvXdD/c9GNyJJ6rvqvRtqK5W7nwAOAAYCb2fmwY1qTJLUd9R7ZnFQ9XxEzAImN6IhSVLfs1dPnc3MnwJndLdORNwWEZsi4tmq2ncj4tWIWFW8ZlYtuyIi1kXE2oiYXlU/MSKeKZYtiIjoeixJUmPVexnq3KrZ/ah876LsOxe3Azew6xf3rs3Mv+my/3HAbOA4Ks+heiQi/jwztwM3AXOBXwEPADOAB+vpW5LUM+q9G+rfV01vA14Gzulug8z8ZUSMrnP/5wB3Zea7wEsRsQ6YHBEvAwdn5gqAiLgDmIVhIUm9qt4xiy/34DG/EhHnAx3AZZn5JjCSypnDDp1F7b1iumu9poiYS+UshCOOOKIHW5ak1lbvjx+1RcS9xRjExoi4JyLa9uJ4N1F5xtQkYAPw/R2HqLFudlOvKTMXZmZ7ZrYPHz58L9qTJNVS7wD3j4ClVMYTRgL/vajtkczcmJnbM/N94BY+uKOqExhVtWob8FpRb6tRlyT1onrDYnhm/igztxWv24E9/qd7RIyomv00lWdOQSWIZkfExyJiDDAWWJmZG4CtETGluAvqfOC+PT2uJOmjqXeA+/WI+CKwuJg/D9jS3QYRsRg4ncpPsnYCfwWcHhGTqFxKepnKL/GRmc9FxBJgNZUB9HnFnVAAl1C5s+pAKgPbDm5LUi+rNywupHIb7LVU/qJfDnQ76J2Z59Uo39rN+vOB+TXqHcD4OvuUJDVAvWHx18Cc4s4lImII8DdUQkSS1M/VO2YxYUdQAGTmG8DxjWlJktTX1BsW+0XEITtmijOLes9KJEn7uHr/wv8+sDwi7qYyZvF5aowvSJL6p3q/wX1HRHRQeXhgAOdm5uqGdiZJ6jPqvpRUhIMBIUktaK8eUS5Jai2GhSSplGEhSSplWEiSShkWkqRShoUkqZRhIUkqZVhIkkoZFpKkUoaFJKmUYSFJKmVYSJJKGRaSpFKGhSSplGEhSSplWEiSShkWkqRShoUkqZRhIUkq1bCwiIjbImJTRDxbVRsSEQ9HxPPF+yFVy66IiHURsTYiplfVT4yIZ4plCyIiGtWzJKm2Rp5Z3A7M6FK7HFiWmWOBZcU8ETEOmA0cV2xzY0QMKLa5CZgLjC1eXfcpSWqwhoVFZv4SeKNL+RxgUTG9CJhVVb8rM9/NzJeAdcDkiBgBHJyZKzIzgTuqtpEk9ZLeHrM4LDM3ABTvhxb1kcArVet1FrWRxXTXek0RMTciOiKiY/PmzT3auCS1sr4ywF1rHCK7qdeUmQszsz0z24cPH95jzUlSq+vtsNhYXFqieN9U1DuBUVXrtQGvFfW2GnVJUi/q7bBYCswppucA91XVZ0fExyJiDJWB7JXFpaqtETGluAvq/KptJEm9ZP9G7TgiFgOnA8MiohP4K+BqYElEXASsBz4HkJnPRcQSYDWwDZiXmduLXV1C5c6qA4EHi5ckqRc1LCwy87zdLPrkbtafD8yvUe8Axvdga5KkPdRXBrglSX2YYSFJKmVYSJJKGRaSpFKGhSSplGEhSSplWEiSShkWkqRShoUkqZRhIUkqZVhIkkoZFpKkUoaFJKmUYSFJKmVYSJJKGRaSpFKGhSSplGEhSSplWEiSShkWkqRShoUkqZRhIUkqZVhIkkoZFpKkUoaFJKmUYSFJKtWUsIiIlyPimYhYFREdRW1IRDwcEc8X74dUrX9FRKyLiLURMb0ZPUtSK2vmmcW/zcxJmdlezF8OLMvMscCyYp6IGAfMBo4DZgA3RsSAZjQsSa2qL12GOgdYVEwvAmZV1e/KzHcz8yVgHTC599uTpNbVrLBI4J8i4smImFvUDsvMDQDF+6FFfSTwStW2nUVtFxExNyI6IqJj8+bNDWpdklrP/k067tTMfC0iDgUejoj/3c26UaOWtVbMzIXAQoD29vaa60iS9lxTziwy87XifRNwL5XLShsjYgRA8b6pWL0TGFW1eRvwWu91K0nq9bCIiH8REQftmAY+BTwLLAXmFKvNAe4rppcCsyPiYxExBhgLrOzdriWptTXjMtRhwL0RseP4d2bmQxHxa2BJRFwErAc+B5CZz0XEEmA1sA2Yl5nbm9C3JLWsXg+LzHwRmFijvgX45G62mQ/Mb3BrkqTd6Eu3zkqS+ijDQpJUyrCQJJUyLCRJpQwLSVIpw0KSVMqwkCSVMiwkSaUMC0lSKcNCklTKsJAklTIsJEmlDAtJUinDQpJUyrCQJJUyLCRJpQwLSVIpw0KSVMqwkCSVMiwkSaUMC0lSKcNCklTKsJAklTIsJEmlDAtJUinDQpJUap8Ji4iYERFrI2JdRFze7H4kqZXsE2EREQOAvwX+HTAOOC8ixjW3K0lqHftEWACTgXWZ+WJm/hG4CzinyT1JUsvYv9kN1Gkk8ErVfCdwcteVImIuMLeY/X1ErO2F3lrBMOD1Zjch7YZ/PnvWn9Uq7ithETVquUshcyGwsPHttJaI6MjM9mb3IdXin8/esa9chuoERlXNtwGvNakXSWo5+0pY/BoYGxFjIuIAYDawtMk9SVLL2CcuQ2Xmtoj4CvBzYABwW2Y+1+S2WomX9tSX+eezF0TmLpf+JUn6kH3lMpQkqYkMC0lSKcNC3fIxK+qrIuK2iNgUEc82u5dWYFhot3zMivq424EZzW6iVRgW6o6PWVGflZm/BN5odh+twrBQd2o9ZmVkk3qR1ESGhbpT12NWJPV/hoW642NWJAGGhbrnY1YkAYaFupGZ24Adj1lZAyzxMSvqKyJiMbACOCYiOiPiomb31J/5uA9JUinPLCRJpQwLSVIpw0KSVMqwkCSVMiwkSaUMC7WMiBhd6wmlEfFoRLTv5T4viIjNEbGqeN0REWfvyRN6i76+UDV/ekT8v2J/T0fEIxFxaNXxbtibXmsc9/c9sR+1BsNC+uj+ITMnFa/zM3NpZl7ddaWI2N3PGI8GvtCl9r+K/U2g8uXIeT3bsrRnDAu1mv0jYlHxL/a7I+JPqhdW/2s7Ij4bEbcX08Mj4p6I+HXxmrq7A1T/6z8ibo+IayLiF8D3IuLfVJ2F/CYiDgKuBj5R1L7eZV8BHAS8WeM4fxYRy4rPsiwijiipj4mIFUX/f713//nUqgwLtZpjgIXFv9jfAv5zndtdD1ybmScBnwF+WLXsP1QFwJdrbPvnwJmZeRnwX4F5mTkJ+ATwz8DlfHAmcW2xzSciYhWwHjgTuK3Gfm8A7ig+y4+BBSX164Gbis/wf+v83BJgWKj1vJKZjxfTfw9Mq3O7M4Ebir/AlwIHF2cF8OHLUD+qse1PMnN7Mf04cE1EfBX40+KRKrXsCI9RwI+A/1ZjnVOAO4vpv6v6LLurTwUWV9Wluu3uGqrUX3V9vk1384OqpvcDTsnMf65euXKVqNTbO3eeeXVE/AyYCfwqIs6sY/ulwD11rLe7Z/dkHetI3fLMQq3miIg4pZg+D3isy/KNEXFsROwHfLqq/k9UHqoIQERM2puDR8RRmflMZn4P6AD+NbCVyrjE7kwDXqhRX07lScAA/5EPPsvu6o93qUt1MyzUatYAcyLiaWAIcFOX5ZcD9wP/A9hQVf8q0F4MGq8G/tNeHv9rEfFsRPyWynjFg8DTwLaI+G3VAPeOAe/fAl8CLquxr68CXy4+y5eAS0vqlwLzIuLXwL/cy/7VonzqrCSplGcWkqRShoUkqZRhIUkqZVhIkkoZFpKkUoaFJKmUYSFJKvX/AchaurZ/IJH6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 10분 퍼블\n",
    "sns.countplot(data=df, x='blueFirstBlood', hue='blueWins', palette='RdBu')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ca0e36e",
   "metadata": {},
   "source": [
    "# 데이터 Preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b89b1a7",
   "metadata": {},
   "source": [
    "## 불필요한 피쳐 제거"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "823b5b3f",
   "metadata": {},
   "source": [
    "다중공선성 위험이 있는 피쳐 제거"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "821e3e72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['gameId', 'blueWins', 'blueWardsPlaced', 'blueWardsDestroyed',\n",
       "       'blueFirstBlood', 'blueKills', 'blueDeaths', 'blueAssists',\n",
       "       'blueEliteMonsters', 'blueDragons', 'blueHeralds',\n",
       "       'blueTowersDestroyed', 'blueTotalGold', 'blueAvgLevel',\n",
       "       'blueTotalExperience', 'blueTotalMinionsKilled',\n",
       "       'blueTotalJungleMinionsKilled', 'blueGoldDiff', 'blueExperienceDiff',\n",
       "       'blueCSPerMin', 'blueGoldPerMin', 'redWardsPlaced', 'redWardsDestroyed',\n",
       "       'redFirstBlood', 'redKills', 'redDeaths', 'redAssists',\n",
       "       'redEliteMonsters', 'redDragons', 'redHeralds', 'redTowersDestroyed',\n",
       "       'redTotalGold', 'redAvgLevel', 'redTotalExperience',\n",
       "       'redTotalMinionsKilled', 'redTotalJungleMinionsKilled', 'redGoldDiff',\n",
       "       'redExperienceDiff', 'redCSPerMin', 'redGoldPerMin'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "8ce9f1d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 필요없는 칼럼 제거\n",
    "df.drop(['gameId', 'redFirstBlood', 'redKills', 'redDeaths', 'redTotalGold',\n",
    "        'redTotalExperience', 'redGoldDiff', 'redExperienceDiff'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d881515d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['blueWins', 'blueWardsPlaced', 'blueWardsDestroyed', 'blueFirstBlood',\n",
       "       'blueKills', 'blueDeaths', 'blueAssists', 'blueEliteMonsters',\n",
       "       'blueDragons', 'blueHeralds', 'blueTowersDestroyed', 'blueTotalGold',\n",
       "       'blueAvgLevel', 'blueTotalExperience', 'blueTotalMinionsKilled',\n",
       "       'blueTotalJungleMinionsKilled', 'blueGoldDiff', 'blueExperienceDiff',\n",
       "       'blueCSPerMin', 'blueGoldPerMin', 'redWardsPlaced', 'redWardsDestroyed',\n",
       "       'redAssists', 'redEliteMonsters', 'redDragons', 'redHeralds',\n",
       "       'redTowersDestroyed', 'redAvgLevel', 'redTotalMinionsKilled',\n",
       "       'redTotalJungleMinionsKilled', 'redCSPerMin', 'redGoldPerMin'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a72ca6bd",
   "metadata": {},
   "source": [
    "## 수치형 데이터 표준화"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "be304581",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "7579e54c",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_num = df[['blueWardsPlaced', 'blueWardsDestroyed',\n",
    "            'blueKills', 'blueDeaths', 'blueAssists', 'blueEliteMonsters',\n",
    "            'blueTowersDestroyed', 'blueTotalGold',\n",
    "            'blueAvgLevel', 'blueTotalExperience', 'blueTotalMinionsKilled',\n",
    "            'blueTotalJungleMinionsKilled', 'blueGoldDiff', 'blueExperienceDiff',\n",
    "            'blueCSPerMin', 'blueGoldPerMin', 'redWardsPlaced', 'redWardsDestroyed',\n",
    "            'redAssists', 'redEliteMonsters',\n",
    "            'redTowersDestroyed', 'redAvgLevel', 'redTotalMinionsKilled',\n",
    "            'redTotalJungleMinionsKilled', 'redCSPerMin', 'redGoldPerMin']]\n",
    "X_cat = df[['blueFirstBlood', 'blueDragons',\n",
    "            'blueHeralds', 'redDragons', 'redHeralds']]\n",
    "\n",
    "scaler = StandardScaler()\n",
    "X_scaled = scaler.fit_transform(X_num)\n",
    "X_scaled = pd.DataFrame(X_scaled, index=X_num.index, columns=X_num.columns)\n",
    "\n",
    "X = pd.concat([X_scaled, X_cat], axis=1)\n",
    "y = df['blueWins']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "bf2fb151",
   "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>blueWardsPlaced</th>\n",
       "      <th>blueWardsDestroyed</th>\n",
       "      <th>blueKills</th>\n",
       "      <th>blueDeaths</th>\n",
       "      <th>blueAssists</th>\n",
       "      <th>blueEliteMonsters</th>\n",
       "      <th>blueTowersDestroyed</th>\n",
       "      <th>blueTotalGold</th>\n",
       "      <th>blueAvgLevel</th>\n",
       "      <th>blueTotalExperience</th>\n",
       "      <th>blueTotalMinionsKilled</th>\n",
       "      <th>blueTotalJungleMinionsKilled</th>\n",
       "      <th>blueGoldDiff</th>\n",
       "      <th>blueExperienceDiff</th>\n",
       "      <th>blueCSPerMin</th>\n",
       "      <th>blueGoldPerMin</th>\n",
       "      <th>redWardsPlaced</th>\n",
       "      <th>redWardsDestroyed</th>\n",
       "      <th>redAssists</th>\n",
       "      <th>redEliteMonsters</th>\n",
       "      <th>redTowersDestroyed</th>\n",
       "      <th>redAvgLevel</th>\n",
       "      <th>redTotalMinionsKilled</th>\n",
       "      <th>redTotalJungleMinionsKilled</th>\n",
       "      <th>redCSPerMin</th>\n",
       "      <th>redGoldPerMin</th>\n",
       "      <th>blueFirstBlood</th>\n",
       "      <th>blueDragons</th>\n",
       "      <th>blueHeralds</th>\n",
       "      <th>redDragons</th>\n",
       "      <th>redHeralds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.316996</td>\n",
       "      <td>-0.379275</td>\n",
       "      <td>0.935301</td>\n",
       "      <td>-0.046926</td>\n",
       "      <td>1.071495</td>\n",
       "      <td>-0.879231</td>\n",
       "      <td>-0.210439</td>\n",
       "      <td>0.460179</td>\n",
       "      <td>-1.035635</td>\n",
       "      <td>-0.740639</td>\n",
       "      <td>-0.992782</td>\n",
       "      <td>-1.465951</td>\n",
       "      <td>0.256228</td>\n",
       "      <td>0.013342</td>\n",
       "      <td>-0.992782</td>\n",
       "      <td>0.460179</td>\n",
       "      <td>-0.399207</td>\n",
       "      <td>1.532493</td>\n",
       "      <td>0.329496</td>\n",
       "      <td>-0.914893</td>\n",
       "      <td>-0.198353</td>\n",
       "      <td>-0.410475</td>\n",
       "      <td>-0.928741</td>\n",
       "      <td>0.367685</td>\n",
       "      <td>-0.928741</td>\n",
       "      <td>0.052293</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.570992</td>\n",
       "      <td>-0.839069</td>\n",
       "      <td>-0.393216</td>\n",
       "      <td>-0.387796</td>\n",
       "      <td>-0.404768</td>\n",
       "      <td>-0.879231</td>\n",
       "      <td>-0.210439</td>\n",
       "      <td>-1.166792</td>\n",
       "      <td>-1.035635</td>\n",
       "      <td>-1.385391</td>\n",
       "      <td>-1.953558</td>\n",
       "      <td>-0.758722</td>\n",
       "      <td>-1.191254</td>\n",
       "      <td>-0.593342</td>\n",
       "      <td>-1.953558</td>\n",
       "      <td>-1.166792</td>\n",
       "      <td>-0.561751</td>\n",
       "      <td>-0.805870</td>\n",
       "      <td>-1.148188</td>\n",
       "      <td>2.277700</td>\n",
       "      <td>4.412301</td>\n",
       "      <td>-0.410475</td>\n",
       "      <td>1.033784</td>\n",
       "      <td>0.068504</td>\n",
       "      <td>1.033784</td>\n",
       "      <td>0.758619</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.404494</td>\n",
       "      <td>-1.298863</td>\n",
       "      <td>0.271042</td>\n",
       "      <td>1.657424</td>\n",
       "      <td>-0.650812</td>\n",
       "      <td>0.719503</td>\n",
       "      <td>-0.210439</td>\n",
       "      <td>-0.254307</td>\n",
       "      <td>-1.691092</td>\n",
       "      <td>-1.422043</td>\n",
       "      <td>-1.404543</td>\n",
       "      <td>-0.455624</td>\n",
       "      <td>-0.483614</td>\n",
       "      <td>-0.520436</td>\n",
       "      <td>-1.404543</td>\n",
       "      <td>-0.254307</td>\n",
       "      <td>-0.399207</td>\n",
       "      <td>0.129475</td>\n",
       "      <td>1.807181</td>\n",
       "      <td>-0.914893</td>\n",
       "      <td>-0.198353</td>\n",
       "      <td>-0.410475</td>\n",
       "      <td>-0.654900</td>\n",
       "      <td>-2.324944</td>\n",
       "      <td>-0.654900</td>\n",
       "      <td>0.533909</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.149484</td>\n",
       "      <td>-0.839069</td>\n",
       "      <td>-0.725346</td>\n",
       "      <td>-0.387796</td>\n",
       "      <td>-0.404768</td>\n",
       "      <td>0.719503</td>\n",
       "      <td>-0.210439</td>\n",
       "      <td>-0.876959</td>\n",
       "      <td>0.275280</td>\n",
       "      <td>0.021567</td>\n",
       "      <td>-0.718275</td>\n",
       "      <td>0.453671</td>\n",
       "      <td>-0.544350</td>\n",
       "      <td>0.013863</td>\n",
       "      <td>-0.718275</td>\n",
       "      <td>-0.876959</td>\n",
       "      <td>-0.399207</td>\n",
       "      <td>-0.338198</td>\n",
       "      <td>0.822058</td>\n",
       "      <td>-0.914893</td>\n",
       "      <td>-0.198353</td>\n",
       "      <td>0.244627</td>\n",
       "      <td>0.805583</td>\n",
       "      <td>-0.430131</td>\n",
       "      <td>0.805583</td>\n",
       "      <td>-0.007406</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.925460</td>\n",
       "      <td>0.540312</td>\n",
       "      <td>-0.061087</td>\n",
       "      <td>-0.046926</td>\n",
       "      <td>-0.158724</td>\n",
       "      <td>-0.879231</td>\n",
       "      <td>-0.210439</td>\n",
       "      <td>-0.067382</td>\n",
       "      <td>0.275280</td>\n",
       "      <td>0.512211</td>\n",
       "      <td>-0.306513</td>\n",
       "      <td>0.655736</td>\n",
       "      <td>-0.415133</td>\n",
       "      <td>0.137283</td>\n",
       "      <td>-0.306513</td>\n",
       "      <td>-0.067382</td>\n",
       "      <td>-0.290844</td>\n",
       "      <td>-0.338198</td>\n",
       "      <td>0.083215</td>\n",
       "      <td>0.681403</td>\n",
       "      <td>-0.198353</td>\n",
       "      <td>0.244627</td>\n",
       "      <td>0.349182</td>\n",
       "      <td>1.564408</td>\n",
       "      <td>0.349182</td>\n",
       "      <td>0.613731</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   blueWardsPlaced  blueWardsDestroyed  blueKills  blueDeaths  blueAssists  \\\n",
       "0         0.316996           -0.379275   0.935301   -0.046926     1.071495   \n",
       "1        -0.570992           -0.839069  -0.393216   -0.387796    -0.404768   \n",
       "2        -0.404494           -1.298863   0.271042    1.657424    -0.650812   \n",
       "3         1.149484           -0.839069  -0.725346   -0.387796    -0.404768   \n",
       "4         2.925460            0.540312  -0.061087   -0.046926    -0.158724   \n",
       "\n",
       "   blueEliteMonsters  blueTowersDestroyed  blueTotalGold  blueAvgLevel  \\\n",
       "0          -0.879231            -0.210439       0.460179     -1.035635   \n",
       "1          -0.879231            -0.210439      -1.166792     -1.035635   \n",
       "2           0.719503            -0.210439      -0.254307     -1.691092   \n",
       "3           0.719503            -0.210439      -0.876959      0.275280   \n",
       "4          -0.879231            -0.210439      -0.067382      0.275280   \n",
       "\n",
       "   blueTotalExperience  blueTotalMinionsKilled  blueTotalJungleMinionsKilled  \\\n",
       "0            -0.740639               -0.992782                     -1.465951   \n",
       "1            -1.385391               -1.953558                     -0.758722   \n",
       "2            -1.422043               -1.404543                     -0.455624   \n",
       "3             0.021567               -0.718275                      0.453671   \n",
       "4             0.512211               -0.306513                      0.655736   \n",
       "\n",
       "   blueGoldDiff  blueExperienceDiff  blueCSPerMin  blueGoldPerMin  \\\n",
       "0      0.256228            0.013342     -0.992782        0.460179   \n",
       "1     -1.191254           -0.593342     -1.953558       -1.166792   \n",
       "2     -0.483614           -0.520436     -1.404543       -0.254307   \n",
       "3     -0.544350            0.013863     -0.718275       -0.876959   \n",
       "4     -0.415133            0.137283     -0.306513       -0.067382   \n",
       "\n",
       "   redWardsPlaced  redWardsDestroyed  redAssists  redEliteMonsters  \\\n",
       "0       -0.399207           1.532493    0.329496         -0.914893   \n",
       "1       -0.561751          -0.805870   -1.148188          2.277700   \n",
       "2       -0.399207           0.129475    1.807181         -0.914893   \n",
       "3       -0.399207          -0.338198    0.822058         -0.914893   \n",
       "4       -0.290844          -0.338198    0.083215          0.681403   \n",
       "\n",
       "   redTowersDestroyed  redAvgLevel  redTotalMinionsKilled  \\\n",
       "0           -0.198353    -0.410475              -0.928741   \n",
       "1            4.412301    -0.410475               1.033784   \n",
       "2           -0.198353    -0.410475              -0.654900   \n",
       "3           -0.198353     0.244627               0.805583   \n",
       "4           -0.198353     0.244627               0.349182   \n",
       "\n",
       "   redTotalJungleMinionsKilled  redCSPerMin  redGoldPerMin  blueFirstBlood  \\\n",
       "0                     0.367685    -0.928741       0.052293               1   \n",
       "1                     0.068504     1.033784       0.758619               0   \n",
       "2                    -2.324944    -0.654900       0.533909               0   \n",
       "3                    -0.430131     0.805583      -0.007406               0   \n",
       "4                     1.564408     0.349182       0.613731               0   \n",
       "\n",
       "   blueDragons  blueHeralds  redDragons  redHeralds  \n",
       "0            0            0           0           0  \n",
       "1            0            0           1           1  \n",
       "2            1            0           0           0  \n",
       "3            0            1           0           0  \n",
       "4            0            0           1           0  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8cd9c9e5",
   "metadata": {},
   "source": [
    "## train, test 데이터 셋 분리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f768c0db",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "be0063ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45f95a50",
   "metadata": {},
   "source": [
    "# Classification 모델 학습"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66d7a3cf",
   "metadata": {},
   "source": [
    "## LogisticRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a6640ac3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "092a114e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 학습\n",
    "lr = LogisticRegression()\n",
    "lr.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "62974069",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 평가\n",
    "from sklearn.metrics import classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "fc25f562",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.75      0.73      0.74      1002\n",
      "           1       0.73      0.74      0.74       974\n",
      "\n",
      "    accuracy                           0.74      1976\n",
      "   macro avg       0.74      0.74      0.74      1976\n",
      "weighted avg       0.74      0.74      0.74      1976\n",
      "\n"
     ]
    }
   ],
   "source": [
    "pred = lr.predict(X_test)\n",
    "print(classification_report(y_test, pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e561b1cf",
   "metadata": {},
   "source": [
    "## XGBoost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "00dfb14b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from xgboost import XGBClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "95cea7f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda\\lib\\site-packages\\xgboost\\sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1].\n",
      "  warnings.warn(label_encoder_deprecation_msg, UserWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[20:56:17] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.4.0/src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
       "              colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,\n",
       "              importance_type='gain', interaction_constraints='',\n",
       "              learning_rate=0.300000012, max_delta_step=0, max_depth=6,\n",
       "              min_child_weight=1, missing=nan, monotone_constraints='()',\n",
       "              n_estimators=100, n_jobs=8, num_parallel_tree=1, random_state=0,\n",
       "              reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,\n",
       "              tree_method='exact', validate_parameters=1, verbosity=None)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xgb = XGBClassifier()\n",
    "xgb.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "9edaa135",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.72      0.71      0.71      1002\n",
      "           1       0.70      0.72      0.71       974\n",
      "\n",
      "    accuracy                           0.71      1976\n",
      "   macro avg       0.71      0.71      0.71      1976\n",
      "weighted avg       0.71      0.71      0.71      1976\n",
      "\n"
     ]
    }
   ],
   "source": [
    "pred = xgb.predict(X_test)\n",
    "print(classification_report(y_test, pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90ed2b62",
   "metadata": {},
   "source": [
    "# 모델 결과 분석"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b00a0c70",
   "metadata": {},
   "source": [
    "## Logistic Regression"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4597302c",
   "metadata": {},
   "source": [
    "### 피쳐 별 계수"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "141dc5d7",
   "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": [
    "model_coef = pd.DataFrame(data=lr.coef_[0], index=X.columns, columns=['Model Coefficient'])\n",
    "model_coef.sort_values(by='Model Coefficient', ascending=False, inplace=True)\n",
    "\n",
    "plt.bar(model_coef.index, model_coef['Model Coefficient'])\n",
    "plt.xticks(rotation=90)\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b61cb03",
   "metadata": {},
   "source": [
    "## XGBoost"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e89172f",
   "metadata": {},
   "source": [
    "### feature importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "18b26204",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 31 artists>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,10))\n",
    "plt.barh(X.columns, xgb.feature_importances_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0376ddd6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}