notebooks/2-SplitData.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ed008c12",
   "metadata": {},
   "source": [
    "# Split Data\n",
    "Notebook to work on train-validation split data strategies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "88e9bb5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/tales.pimentel/ds/kaggle/football-match-prediction'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "from working_dir import set_wd\n",
    "set_wd()\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "448f5a9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyspark.sql import SparkSession\n",
    "spark = SparkSession.builder.appName(\"SplitData\").getOrCreate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "770675a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyspark.sql.functions as f\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from src.dao import dao_raw, dao_interim\n",
    "from src.utils import dflib, stats, pretties, plot, palette"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a97e57f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "COLOR_TRAIN = palette.PALETTE_DATASETS[\"train\"]\n",
    "COLOR_TEST = palette.PALETTE_DATASETS[\"test\"]\n",
    "COLOR_VALID = palette.PALETTE_DATASETS[\"validation\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "782f8572",
   "metadata": {},
   "outputs": [],
   "source": [
    "pretties.max_data_frame_columns()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e0db4ff",
   "metadata": {},
   "source": [
    "#### Predict the probabilities for each match outcome in the target columns: the probabilities of home to win, draw, and away to win."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d3d696c5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train: (110938, 190)\n",
      "test: (72711, 189)\n",
      "scores: (110938, 3)\n"
     ]
    }
   ],
   "source": [
    "train = dao_raw.load_parse_train_data(spark)\n",
    "test = dao_raw.load_parse_test_data(spark)\n",
    "scores = dao_raw.load_parse_scores_data(spark)\n",
    "\n",
    "print(f\"train: {dflib.shape(train)}\")\n",
    "print(f\"test: {dflib.shape(test)}\")\n",
    "print(f\"scores: {dflib.shape(scores)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f82da485",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train: (110938, 191)\n"
     ]
    }
   ],
   "source": [
    "train = scores.select([\"id\", \"score\"]).join(train, on=\"id\", how=\"inner\")\n",
    "print(f\"train: {dflib.shape(train)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdd91d3a",
   "metadata": {},
   "source": [
    "# Check built in Train-Test split"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a04cb7a3",
   "metadata": {},
   "source": [
    "#### Checking whether a date splits both train and test datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bda095da",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>score</th>\n",
       "      <th>target</th>\n",
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       "      <th>home_team_history_coach_1</th>\n",
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       "      <th>home_team_history_coach_3</th>\n",
       "      <th>home_team_history_coach_4</th>\n",
       "      <th>home_team_history_coach_5</th>\n",
       "      <th>home_team_history_coach_6</th>\n",
       "      <th>home_team_history_coach_7</th>\n",
       "      <th>home_team_history_coach_8</th>\n",
       "      <th>home_team_history_coach_9</th>\n",
       "      <th>home_team_history_coach_10</th>\n",
       "      <th>home_team_history_league_id_1</th>\n",
       "      <th>home_team_history_league_id_2</th>\n",
       "      <th>home_team_history_league_id_3</th>\n",
       "      <th>home_team_history_league_id_4</th>\n",
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       "      <th>home_team_history_league_id_9</th>\n",
       "      <th>home_team_history_league_id_10</th>\n",
       "      <th>away_team_history_match_date_1</th>\n",
       "      <th>away_team_history_match_date_2</th>\n",
       "      <th>away_team_history_match_date_3</th>\n",
       "      <th>away_team_history_match_date_4</th>\n",
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       "      <th>away_team_history_match_date_9</th>\n",
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       "      <th>away_team_history_is_cup_3</th>\n",
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       "      <th>away_team_history_is_cup_9</th>\n",
       "      <th>away_team_history_is_cup_10</th>\n",
       "      <th>away_team_history_goal_1</th>\n",
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       "      <th>away_team_history_goal_4</th>\n",
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       "      <th>away_team_history_coach_1</th>\n",
       "      <th>away_team_history_coach_2</th>\n",
       "      <th>away_team_history_coach_3</th>\n",
       "      <th>away_team_history_coach_4</th>\n",
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       "      <th>away_team_history_coach_7</th>\n",
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       "      <th>away_team_history_league_id_3</th>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.598000</td>\n",
       "      <td>11.825566</td>\n",
       "      <td>9.374866</td>\n",
       "      <td>8.265660</td>\n",
       "      <td>10.769583</td>\n",
       "      <td>4.680350</td>\n",
       "      <td>6.429872</td>\n",
       "      <td>12.773025</td>\n",
       "      <td>10.970815</td>\n",
       "      <td>5.924407</td>\n",
       "      <td>5.253225</td>\n",
       "      <td>2.819963</td>\n",
       "      <td>3.114820</td>\n",
       "      <td>3.283603</td>\n",
       "      <td>2.574183</td>\n",
       "      <td>5.887331</td>\n",
       "      <td>4.570225</td>\n",
       "      <td>2.843267</td>\n",
       "      <td>3.057739</td>\n",
       "      <td>4.684664</td>\n",
       "      <td>468200.0</td>\n",
       "      <td>468200.0</td>\n",
       "      <td>468200.0</td>\n",
       "      <td>468200.0</td>\n",
       "      <td>468200.0</td>\n",
       "      <td>468200.0</td>\n",
       "      <td>468200.0</td>\n",
       "      <td>468200.0</td>\n",
       "      <td>468200.0</td>\n",
       "      <td>468200.0</td>\n",
       "      <td>1122.0</td>\n",
       "      <td>642.0</td>\n",
       "      <td>636.0</td>\n",
       "      <td>636.0</td>\n",
       "      <td>636.0</td>\n",
       "      <td>1122.0</td>\n",
       "      <td>636.0</td>\n",
       "      <td>642.0</td>\n",
       "      <td>636.0</td>\n",
       "      <td>1122.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11984383</td>\n",
       "      <td>1-0</td>\n",
       "      <td>home</td>\n",
       "      <td>Real Estelí</td>\n",
       "      <td>Deportivo Las Sabanas</td>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>Primera Division</td>\n",
       "      <td>752</td>\n",
       "      <td>False</td>\n",
       "      <td>516788.0</td>\n",
       "      <td>22169161.0</td>\n",
       "      <td>2019-11-27</td>\n",
       "      <td>2019-11-24</td>\n",
       "      <td>2019-11-10</td>\n",
       "      <td>2019-11-02</td>\n",
       "      <td>2019-10-27</td>\n",
       "      <td>2019-10-24</td>\n",
       "      <td>2019-10-21</td>\n",
       "      <td>2019-10-18</td>\n",
       "      <td>2019-10-06</td>\n",
       "      <td>2019-09-29</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.668800</td>\n",
       "      <td>5.967622</td>\n",
       "      <td>9.130611</td>\n",
       "      <td>5.732981</td>\n",
       "      <td>7.804064</td>\n",
       "      <td>6.743764</td>\n",
       "      <td>6.237028</td>\n",
       "      <td>12.616250</td>\n",
       "      <td>8.334650</td>\n",
       "      <td>8.172615</td>\n",
       "      <td>3.671610</td>\n",
       "      <td>6.121228</td>\n",
       "      <td>3.320450</td>\n",
       "      <td>5.766069</td>\n",
       "      <td>4.118072</td>\n",
       "      <td>4.223164</td>\n",
       "      <td>5.260700</td>\n",
       "      <td>3.102806</td>\n",
       "      <td>5.627457</td>\n",
       "      <td>4.256165</td>\n",
       "      <td>516788.0</td>\n",
       "      <td>516788.0</td>\n",
       "      <td>516788.0</td>\n",
       "      <td>516788.0</td>\n",
       "      <td>516788.0</td>\n",
       "      <td>516788.0</td>\n",
       "      <td>516788.0</td>\n",
       "      <td>516788.0</td>\n",
       "      <td>516788.0</td>\n",
       "      <td>516788.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>2019-11-27</td>\n",
       "      <td>2019-11-23</td>\n",
       "      <td>2019-11-09</td>\n",
       "      <td>2019-11-02</td>\n",
       "      <td>2019-10-28</td>\n",
       "      <td>2019-10-21</td>\n",
       "      <td>2019-10-16</td>\n",
       "      <td>2019-09-29</td>\n",
       "      <td>2019-09-20</td>\n",
       "      <td>2019-09-15</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.000587</td>\n",
       "      <td>4.692008</td>\n",
       "      <td>4.461575</td>\n",
       "      <td>5.301500</td>\n",
       "      <td>8.290211</td>\n",
       "      <td>5.260700</td>\n",
       "      <td>4.928100</td>\n",
       "      <td>5.708921</td>\n",
       "      <td>4.125842</td>\n",
       "      <td>4.103719</td>\n",
       "      <td>6.881763</td>\n",
       "      <td>6.840558</td>\n",
       "      <td>8.700362</td>\n",
       "      <td>5.156150</td>\n",
       "      <td>3.864878</td>\n",
       "      <td>6.237028</td>\n",
       "      <td>6.871904</td>\n",
       "      <td>5.716200</td>\n",
       "      <td>7.960465</td>\n",
       "      <td>9.994455</td>\n",
       "      <td>22169161.0</td>\n",
       "      <td>22169161.0</td>\n",
       "      <td>22169161.0</td>\n",
       "      <td>22169161.0</td>\n",
       "      <td>22169161.0</td>\n",
       "      <td>22169161.0</td>\n",
       "      <td>22169161.0</td>\n",
       "      <td>22169161.0</td>\n",
       "      <td>22169161.0</td>\n",
       "      <td>22169161.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>752.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11983301</td>\n",
       "      <td>2-2</td>\n",
       "      <td>draw</td>\n",
       "      <td>UPNFM</td>\n",
       "      <td>Marathón</td>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>Liga Nacional</td>\n",
       "      <td>734</td>\n",
       "      <td>False</td>\n",
       "      <td>2510608.0</td>\n",
       "      <td>456313.0</td>\n",
       "      <td>2019-11-28</td>\n",
       "      <td>2019-11-21</td>\n",
       "      <td>2019-11-03</td>\n",
       "      <td>2019-10-27</td>\n",
       "      <td>2019-10-20</td>\n",
       "      <td>2019-10-17</td>\n",
       "      <td>2019-10-05</td>\n",
       "      <td>2019-09-29</td>\n",
       "      <td>2019-09-22</td>\n",
       "      <td>2019-09-19</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.736719</td>\n",
       "      <td>9.745283</td>\n",
       "      <td>5.685920</td>\n",
       "      <td>6.975000</td>\n",
       "      <td>3.864360</td>\n",
       "      <td>7.930120</td>\n",
       "      <td>4.650054</td>\n",
       "      <td>12.803285</td>\n",
       "      <td>5.094975</td>\n",
       "      <td>5.961407</td>\n",
       "      <td>6.825194</td>\n",
       "      <td>4.053167</td>\n",
       "      <td>5.293940</td>\n",
       "      <td>4.725164</td>\n",
       "      <td>7.776850</td>\n",
       "      <td>4.167290</td>\n",
       "      <td>7.289893</td>\n",
       "      <td>3.691168</td>\n",
       "      <td>7.223050</td>\n",
       "      <td>4.429055</td>\n",
       "      <td>2510608.0</td>\n",
       "      <td>2510608.0</td>\n",
       "      <td>2510608.0</td>\n",
       "      <td>2510608.0</td>\n",
       "      <td>2510608.0</td>\n",
       "      <td>2510608.0</td>\n",
       "      <td>2510608.0</td>\n",
       "      <td>2510608.0</td>\n",
       "      <td>2510608.0</td>\n",
       "      <td>2510608.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>2019-11-21</td>\n",
       "      <td>2019-11-10</td>\n",
       "      <td>2019-10-26</td>\n",
       "      <td>2019-10-20</td>\n",
       "      <td>2019-10-16</td>\n",
       "      <td>2019-10-12</td>\n",
       "      <td>2019-10-05</td>\n",
       "      <td>2019-09-28</td>\n",
       "      <td>2019-09-22</td>\n",
       "      <td>2019-09-18</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.379418</td>\n",
       "      <td>4.850100</td>\n",
       "      <td>8.676865</td>\n",
       "      <td>6.987061</td>\n",
       "      <td>7.966967</td>\n",
       "      <td>7.972809</td>\n",
       "      <td>7.289893</td>\n",
       "      <td>7.604720</td>\n",
       "      <td>6.451019</td>\n",
       "      <td>10.021854</td>\n",
       "      <td>5.487338</td>\n",
       "      <td>7.697712</td>\n",
       "      <td>4.186315</td>\n",
       "      <td>5.183071</td>\n",
       "      <td>6.176583</td>\n",
       "      <td>4.054209</td>\n",
       "      <td>4.650054</td>\n",
       "      <td>5.284983</td>\n",
       "      <td>5.299259</td>\n",
       "      <td>3.862791</td>\n",
       "      <td>456313.0</td>\n",
       "      <td>456313.0</td>\n",
       "      <td>456313.0</td>\n",
       "      <td>456313.0</td>\n",
       "      <td>456313.0</td>\n",
       "      <td>456313.0</td>\n",
       "      <td>456313.0</td>\n",
       "      <td>456313.0</td>\n",
       "      <td>456313.0</td>\n",
       "      <td>456313.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>734.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11983471</td>\n",
       "      <td>1-2</td>\n",
       "      <td>away</td>\n",
       "      <td>León</td>\n",
       "      <td>Morelia</td>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>Liga MX</td>\n",
       "      <td>743</td>\n",
       "      <td>False</td>\n",
       "      <td>1552508.0</td>\n",
       "      <td>465797.0</td>\n",
       "      <td>2019-11-28</td>\n",
       "      <td>2019-11-23</td>\n",
       "      <td>2019-11-10</td>\n",
       "      <td>2019-11-04</td>\n",
       "      <td>2019-11-01</td>\n",
       "      <td>2019-10-27</td>\n",
       "      <td>2019-10-20</td>\n",
       "      <td>2019-10-05</td>\n",
       "      <td>2019-09-28</td>\n",
       "      <td>2019-09-25</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.998800</td>\n",
       "      <td>5.860496</td>\n",
       "      <td>8.256900</td>\n",
       "      <td>8.342183</td>\n",
       "      <td>6.163600</td>\n",
       "      <td>8.097475</td>\n",
       "      <td>5.796913</td>\n",
       "      <td>10.739525</td>\n",
       "      <td>7.261250</td>\n",
       "      <td>7.982088</td>\n",
       "      <td>5.998800</td>\n",
       "      <td>6.024042</td>\n",
       "      <td>4.508125</td>\n",
       "      <td>4.960117</td>\n",
       "      <td>5.867100</td>\n",
       "      <td>4.351000</td>\n",
       "      <td>5.823181</td>\n",
       "      <td>2.280050</td>\n",
       "      <td>5.544414</td>\n",
       "      <td>4.473325</td>\n",
       "      <td>1552508.0</td>\n",
       "      <td>1552508.0</td>\n",
       "      <td>1552508.0</td>\n",
       "      <td>1552508.0</td>\n",
       "      <td>1552508.0</td>\n",
       "      <td>1552508.0</td>\n",
       "      <td>1552508.0</td>\n",
       "      <td>1552508.0</td>\n",
       "      <td>1552508.0</td>\n",
       "      <td>1552508.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>2019-11-28</td>\n",
       "      <td>2019-11-23</td>\n",
       "      <td>2019-11-09</td>\n",
       "      <td>2019-11-04</td>\n",
       "      <td>2019-11-01</td>\n",
       "      <td>2019-10-26</td>\n",
       "      <td>2019-10-19</td>\n",
       "      <td>2019-10-05</td>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>2019-09-26</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.998800</td>\n",
       "      <td>4.901579</td>\n",
       "      <td>8.413533</td>\n",
       "      <td>4.960117</td>\n",
       "      <td>7.482900</td>\n",
       "      <td>5.912175</td>\n",
       "      <td>3.986478</td>\n",
       "      <td>6.515762</td>\n",
       "      <td>4.575759</td>\n",
       "      <td>5.434175</td>\n",
       "      <td>5.998800</td>\n",
       "      <td>6.548433</td>\n",
       "      <td>4.576617</td>\n",
       "      <td>8.342183</td>\n",
       "      <td>4.878850</td>\n",
       "      <td>6.208425</td>\n",
       "      <td>7.483589</td>\n",
       "      <td>5.587388</td>\n",
       "      <td>7.301455</td>\n",
       "      <td>7.766763</td>\n",
       "      <td>465797.0</td>\n",
       "      <td>465797.0</td>\n",
       "      <td>465797.0</td>\n",
       "      <td>465797.0</td>\n",
       "      <td>465797.0</td>\n",
       "      <td>465797.0</td>\n",
       "      <td>465797.0</td>\n",
       "      <td>465797.0</td>\n",
       "      <td>465797.0</td>\n",
       "      <td>465797.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>746.0</td>\n",
       "      <td>743.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11883005</td>\n",
       "      <td>1-0</td>\n",
       "      <td>home</td>\n",
       "      <td>Cobán Imperial</td>\n",
       "      <td>Iztapa</td>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>Liga Nacional</td>\n",
       "      <td>705</td>\n",
       "      <td>False</td>\n",
       "      <td>429958.0</td>\n",
       "      <td>426870.0</td>\n",
       "      <td>2019-11-27</td>\n",
       "      <td>2019-11-24</td>\n",
       "      <td>2019-11-10</td>\n",
       "      <td>2019-11-03</td>\n",
       "      <td>2019-10-27</td>\n",
       "      <td>2019-10-24</td>\n",
       "      <td>2019-10-20</td>\n",
       "      <td>2019-10-06</td>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>2019-09-29</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.295743</td>\n",
       "      <td>7.625358</td>\n",
       "      <td>5.320906</td>\n",
       "      <td>7.425725</td>\n",
       "      <td>4.854167</td>\n",
       "      <td>10.857700</td>\n",
       "      <td>5.756837</td>\n",
       "      <td>7.079583</td>\n",
       "      <td>5.653375</td>\n",
       "      <td>9.926950</td>\n",
       "      <td>5.535514</td>\n",
       "      <td>4.848225</td>\n",
       "      <td>6.279472</td>\n",
       "      <td>4.178193</td>\n",
       "      <td>7.449917</td>\n",
       "      <td>3.002752</td>\n",
       "      <td>6.053250</td>\n",
       "      <td>4.540000</td>\n",
       "      <td>6.165925</td>\n",
       "      <td>3.876500</td>\n",
       "      <td>429958.0</td>\n",
       "      <td>429958.0</td>\n",
       "      <td>429958.0</td>\n",
       "      <td>429958.0</td>\n",
       "      <td>429958.0</td>\n",
       "      <td>429958.0</td>\n",
       "      <td>429958.0</td>\n",
       "      <td>429958.0</td>\n",
       "      <td>429958.0</td>\n",
       "      <td>429958.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>2019-11-27</td>\n",
       "      <td>2019-11-24</td>\n",
       "      <td>2019-11-10</td>\n",
       "      <td>2019-11-02</td>\n",
       "      <td>2019-10-26</td>\n",
       "      <td>2019-10-23</td>\n",
       "      <td>2019-10-20</td>\n",
       "      <td>2019-10-05</td>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>2019-09-29</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.349390</td>\n",
       "      <td>5.894700</td>\n",
       "      <td>6.113000</td>\n",
       "      <td>7.766560</td>\n",
       "      <td>4.168200</td>\n",
       "      <td>7.231369</td>\n",
       "      <td>3.632279</td>\n",
       "      <td>6.414396</td>\n",
       "      <td>7.972750</td>\n",
       "      <td>4.290735</td>\n",
       "      <td>5.575180</td>\n",
       "      <td>5.901842</td>\n",
       "      <td>5.751275</td>\n",
       "      <td>4.163600</td>\n",
       "      <td>8.559950</td>\n",
       "      <td>4.059211</td>\n",
       "      <td>8.935007</td>\n",
       "      <td>5.888077</td>\n",
       "      <td>4.413683</td>\n",
       "      <td>7.031961</td>\n",
       "      <td>426870.0</td>\n",
       "      <td>426870.0</td>\n",
       "      <td>426870.0</td>\n",
       "      <td>426870.0</td>\n",
       "      <td>426870.0</td>\n",
       "      <td>426870.0</td>\n",
       "      <td>426870.0</td>\n",
       "      <td>37261558.0</td>\n",
       "      <td>37261558.0</td>\n",
       "      <td>37261558.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>705.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         id score target     home_team_name         away_team_name  \\\n",
       "0  11906497   2-3   away  Newell's Old Boys            River Plate   \n",
       "1  11984383   1-0   home        Real Estelí  Deportivo Las Sabanas   \n",
       "2  11983301   2-2   draw              UPNFM               Marathón   \n",
       "3  11983471   1-2   away               León                Morelia   \n",
       "4  11883005   1-0   home     Cobán Imperial                 Iztapa   \n",
       "\n",
       "   match_date       league_name league_id  is_cup home_team_coach_id  \\\n",
       "0  2019-12-01         Superliga       636   False           468196.0   \n",
       "1  2019-12-01  Primera Division       752   False           516788.0   \n",
       "2  2019-12-01     Liga Nacional       734   False          2510608.0   \n",
       "3  2019-12-01           Liga MX       743   False          1552508.0   \n",
       "4  2019-12-01     Liga Nacional       705   False           429958.0   \n",
       "\n",
       "  away_team_coach_id home_team_history_match_date_1  \\\n",
       "0           468200.0                     2019-11-26   \n",
       "1         22169161.0                     2019-11-27   \n",
       "2           456313.0                     2019-11-28   \n",
       "3           465797.0                     2019-11-28   \n",
       "4           426870.0                     2019-11-27   \n",
       "\n",
       "  home_team_history_match_date_2 home_team_history_match_date_3  \\\n",
       "0                     2019-11-10                     2019-11-03   \n",
       "1                     2019-11-24                     2019-11-10   \n",
       "2                     2019-11-21                     2019-11-03   \n",
       "3                     2019-11-23                     2019-11-10   \n",
       "4                     2019-11-24                     2019-11-10   \n",
       "\n",
       "  home_team_history_match_date_4 home_team_history_match_date_5  \\\n",
       "0                     2019-10-29                     2019-10-19   \n",
       "1                     2019-11-02                     2019-10-27   \n",
       "2                     2019-10-27                     2019-10-20   \n",
       "3                     2019-11-04                     2019-11-01   \n",
       "4                     2019-11-03                     2019-10-27   \n",
       "\n",
       "  home_team_history_match_date_6 home_team_history_match_date_7  \\\n",
       "0                     2019-10-04                     2019-09-28   \n",
       "1                     2019-10-24                     2019-10-21   \n",
       "2                     2019-10-17                     2019-10-05   \n",
       "3                     2019-10-27                     2019-10-20   \n",
       "4                     2019-10-24                     2019-10-20   \n",
       "\n",
       "  home_team_history_match_date_8 home_team_history_match_date_9  \\\n",
       "0                     2019-09-22                     2019-09-15   \n",
       "1                     2019-10-18                     2019-10-06   \n",
       "2                     2019-09-29                     2019-09-22   \n",
       "3                     2019-10-05                     2019-09-28   \n",
       "4                     2019-10-06                     2019-10-02   \n",
       "\n",
       "  home_team_history_match_date_10  home_team_history_is_play_home_1  \\\n",
       "0                      2019-09-01                             False   \n",
       "1                      2019-09-29                              True   \n",
       "2                      2019-09-19                             False   \n",
       "3                      2019-09-25                             False   \n",
       "4                      2019-09-29                             False   \n",
       "\n",
       "   home_team_history_is_play_home_2  home_team_history_is_play_home_3  \\\n",
       "0                              True                             False   \n",
       "1                             False                              True   \n",
       "2                              True                             False   \n",
       "3                             False                              True   \n",
       "4                              True                             False   \n",
       "\n",
       "   home_team_history_is_play_home_4  home_team_history_is_play_home_5  \\\n",
       "0                              True                             False   \n",
       "1                             False                              True   \n",
       "2                              True                             False   \n",
       "3                              True                             False   \n",
       "4                              True                             False   \n",
       "\n",
       "   home_team_history_is_play_home_6  home_team_history_is_play_home_7  \\\n",
       "0                              True                             False   \n",
       "1                              True                             False   \n",
       "2                              True                             False   \n",
       "3                              True                             False   \n",
       "4                              True                             False   \n",
       "\n",
       "   home_team_history_is_play_home_8  home_team_history_is_play_home_9  \\\n",
       "0                              True                             False   \n",
       "1                              True                             False   \n",
       "2                              True                             False   \n",
       "3                              True                             False   \n",
       "4                              True                             False   \n",
       "\n",
       "   home_team_history_is_play_home_10  home_team_history_is_cup_1  \\\n",
       "0                               True                       False   \n",
       "1                              False                       False   \n",
       "2                               True                       False   \n",
       "3                               True                       False   \n",
       "4                               True                       False   \n",
       "\n",
       "   home_team_history_is_cup_2  home_team_history_is_cup_3  \\\n",
       "0                       False                       False   \n",
       "1                       False                       False   \n",
       "2                       False                       False   \n",
       "3                       False                       False   \n",
       "4                       False                       False   \n",
       "\n",
       "   home_team_history_is_cup_4  home_team_history_is_cup_5  \\\n",
       "0                       False                       False   \n",
       "1                       False                       False   \n",
       "2                       False                       False   \n",
       "3                       False                       False   \n",
       "4                       False                       False   \n",
       "\n",
       "   home_team_history_is_cup_6  home_team_history_is_cup_7  \\\n",
       "0                       False                       False   \n",
       "1                       False                       False   \n",
       "2                       False                       False   \n",
       "3                       False                       False   \n",
       "4                       False                       False   \n",
       "\n",
       "   home_team_history_is_cup_8  home_team_history_is_cup_9  \\\n",
       "0                       False                       False   \n",
       "1                       False                       False   \n",
       "2                       False                       False   \n",
       "3                       False                       False   \n",
       "4                       False                       False   \n",
       "\n",
       "   home_team_history_is_cup_10  home_team_history_goal_1  \\\n",
       "0                        False                       0.0   \n",
       "1                        False                       0.0   \n",
       "2                        False                       3.0   \n",
       "3                        False                       3.0   \n",
       "4                        False                       1.0   \n",
       "\n",
       "   home_team_history_goal_2  home_team_history_goal_3  \\\n",
       "0                       2.0                       0.0   \n",
       "1                       0.0                       4.0   \n",
       "2                       2.0                       2.0   \n",
       "3                       2.0                       4.0   \n",
       "4                       3.0                       2.0   \n",
       "\n",
       "   home_team_history_goal_4  home_team_history_goal_5  \\\n",
       "0                       0.0                       3.0   \n",
       "1                       0.0                       0.0   \n",
       "2                       1.0                       0.0   \n",
       "3                       1.0                       0.0   \n",
       "4                       2.0                       1.0   \n",
       "\n",
       "   home_team_history_goal_6  home_team_history_goal_7  \\\n",
       "0                       0.0                       1.0   \n",
       "1                       2.0                       0.0   \n",
       "2                       2.0                       4.0   \n",
       "3                       3.0                       2.0   \n",
       "4                       3.0                       3.0   \n",
       "\n",
       "   home_team_history_goal_8  home_team_history_goal_9  \\\n",
       "0                       2.0                       1.0   \n",
       "1                       2.0                       1.0   \n",
       "2                       3.0                       1.0   \n",
       "3                       1.0                       1.0   \n",
       "4                       1.0                       1.0   \n",
       "\n",
       "   home_team_history_goal_10  home_team_history_opponent_goal_1  \\\n",
       "0                        4.0                                1.0   \n",
       "1                        0.0                                2.0   \n",
       "2                        1.0                                1.0   \n",
       "3                        1.0                                3.0   \n",
       "4                        1.0                                2.0   \n",
       "\n",
       "   home_team_history_opponent_goal_2  home_team_history_opponent_goal_3  \\\n",
       "0                                0.0                                1.0   \n",
       "1                                2.0                                0.0   \n",
       "2                                0.0                                3.0   \n",
       "3                                1.0                                0.0   \n",
       "4                                2.0                                1.0   \n",
       "\n",
       "   home_team_history_opponent_goal_4  home_team_history_opponent_goal_5  \\\n",
       "0                                4.0                                1.0   \n",
       "1                                1.0                                1.0   \n",
       "2                                0.0                                1.0   \n",
       "3                                1.0                                1.0   \n",
       "4                                0.0                                1.0   \n",
       "\n",
       "   home_team_history_opponent_goal_6  home_team_history_opponent_goal_7  \\\n",
       "0                                0.0                                1.0   \n",
       "1                                1.0                                1.0   \n",
       "2                                2.0                                4.0   \n",
       "3                                2.0                                1.0   \n",
       "4                                2.0                                2.0   \n",
       "\n",
       "   home_team_history_opponent_goal_8  home_team_history_opponent_goal_9  \\\n",
       "0                                0.0                                1.0   \n",
       "1                                0.0                                2.0   \n",
       "2                                2.0                                3.0   \n",
       "3                                1.0                                2.0   \n",
       "4                                1.0                                2.0   \n",
       "\n",
       "   home_team_history_opponent_goal_10  home_team_history_rating_1  \\\n",
       "0                                 1.0                    3.856860   \n",
       "1                                 0.0                   13.668800   \n",
       "2                                 1.0                    5.736719   \n",
       "3                                 1.0                    5.998800   \n",
       "4                                 1.0                    6.295743   \n",
       "\n",
       "   home_team_history_rating_2  home_team_history_rating_3  \\\n",
       "0                    5.724370                    4.335091   \n",
       "1                    5.967622                    9.130611   \n",
       "2                    9.745283                    5.685920   \n",
       "3                    5.860496                    8.256900   \n",
       "4                    7.625358                    5.320906   \n",
       "\n",
       "   home_team_history_rating_4  home_team_history_rating_5  \\\n",
       "0                    6.678853                    5.478300   \n",
       "1                    5.732981                    7.804064   \n",
       "2                    6.975000                    3.864360   \n",
       "3                    8.342183                    6.163600   \n",
       "4                    7.425725                    4.854167   \n",
       "\n",
       "   home_team_history_rating_6  home_team_history_rating_7  \\\n",
       "0                    5.858534                    3.641945   \n",
       "1                    6.743764                    6.237028   \n",
       "2                    7.930120                    4.650054   \n",
       "3                    8.097475                    5.796913   \n",
       "4                   10.857700                    5.756837   \n",
       "\n",
       "   home_team_history_rating_8  home_team_history_rating_9  \\\n",
       "0                    7.957243                    4.326252   \n",
       "1                   12.616250                    8.334650   \n",
       "2                   12.803285                    5.094975   \n",
       "3                   10.739525                    7.261250   \n",
       "4                    7.079583                    5.653375   \n",
       "\n",
       "   home_team_history_rating_10  home_team_history_opponent_rating_1  \\\n",
       "0                     7.106258                             5.199840   \n",
       "1                     8.172615                             3.671610   \n",
       "2                     5.961407                             6.825194   \n",
       "3                     7.982088                             5.998800   \n",
       "4                     9.926950                             5.535514   \n",
       "\n",
       "   home_team_history_opponent_rating_2  home_team_history_opponent_rating_3  \\\n",
       "0                             3.694033                             5.131156   \n",
       "1                             6.121228                             3.320450   \n",
       "2                             4.053167                             5.293940   \n",
       "3                             6.024042                             4.508125   \n",
       "4                             4.848225                             6.279472   \n",
       "\n",
       "   home_team_history_opponent_rating_4  home_team_history_opponent_rating_5  \\\n",
       "0                             3.193161                             4.080169   \n",
       "1                             5.766069                             4.118072   \n",
       "2                             4.725164                             7.776850   \n",
       "3                             4.960117                             5.867100   \n",
       "4                             4.178193                             7.449917   \n",
       "\n",
       "   home_team_history_opponent_rating_6  home_team_history_opponent_rating_7  \\\n",
       "0                             3.898775                             7.672377   \n",
       "1                             4.223164                             5.260700   \n",
       "2                             4.167290                             7.289893   \n",
       "3                             4.351000                             5.823181   \n",
       "4                             3.002752                             6.053250   \n",
       "\n",
       "   home_team_history_opponent_rating_8  home_team_history_opponent_rating_9  \\\n",
       "0                             2.864026                             4.814193   \n",
       "1                             3.102806                             5.627457   \n",
       "2                             3.691168                             7.223050   \n",
       "3                             2.280050                             5.544414   \n",
       "4                             4.540000                             6.165925   \n",
       "\n",
       "   home_team_history_opponent_rating_10 home_team_history_coach_1  \\\n",
       "0                              3.454310                  468196.0   \n",
       "1                              4.256165                  516788.0   \n",
       "2                              4.429055                 2510608.0   \n",
       "3                              4.473325                 1552508.0   \n",
       "4                              3.876500                  429958.0   \n",
       "\n",
       "  home_team_history_coach_2 home_team_history_coach_3  \\\n",
       "0                  468196.0                  468196.0   \n",
       "1                  516788.0                  516788.0   \n",
       "2                 2510608.0                 2510608.0   \n",
       "3                 1552508.0                 1552508.0   \n",
       "4                  429958.0                  429958.0   \n",
       "\n",
       "  home_team_history_coach_4 home_team_history_coach_5  \\\n",
       "0                  468196.0                  468196.0   \n",
       "1                  516788.0                  516788.0   \n",
       "2                 2510608.0                 2510608.0   \n",
       "3                 1552508.0                 1552508.0   \n",
       "4                  429958.0                  429958.0   \n",
       "\n",
       "  home_team_history_coach_6 home_team_history_coach_7  \\\n",
       "0                  468196.0                  468196.0   \n",
       "1                  516788.0                  516788.0   \n",
       "2                 2510608.0                 2510608.0   \n",
       "3                 1552508.0                 1552508.0   \n",
       "4                  429958.0                  429958.0   \n",
       "\n",
       "  home_team_history_coach_8 home_team_history_coach_9  \\\n",
       "0                  468196.0                  468196.0   \n",
       "1                  516788.0                  516788.0   \n",
       "2                 2510608.0                 2510608.0   \n",
       "3                 1552508.0                 1552508.0   \n",
       "4                  429958.0                  429958.0   \n",
       "\n",
       "  home_team_history_coach_10 home_team_history_league_id_1  \\\n",
       "0                   468196.0                         636.0   \n",
       "1                   516788.0                         752.0   \n",
       "2                  2510608.0                         734.0   \n",
       "3                  1552508.0                         743.0   \n",
       "4                   429958.0                         705.0   \n",
       "\n",
       "  home_team_history_league_id_2 home_team_history_league_id_3  \\\n",
       "0                         636.0                         636.0   \n",
       "1                         752.0                         752.0   \n",
       "2                         734.0                         734.0   \n",
       "3                         743.0                         743.0   \n",
       "4                         705.0                         705.0   \n",
       "\n",
       "  home_team_history_league_id_4 home_team_history_league_id_5  \\\n",
       "0                         636.0                         636.0   \n",
       "1                         752.0                         752.0   \n",
       "2                         734.0                         734.0   \n",
       "3                         743.0                         743.0   \n",
       "4                         705.0                         705.0   \n",
       "\n",
       "  home_team_history_league_id_6 home_team_history_league_id_7  \\\n",
       "0                         636.0                         636.0   \n",
       "1                         752.0                         752.0   \n",
       "2                         734.0                         734.0   \n",
       "3                         743.0                         743.0   \n",
       "4                         705.0                         705.0   \n",
       "\n",
       "  home_team_history_league_id_8 home_team_history_league_id_9  \\\n",
       "0                         636.0                         636.0   \n",
       "1                         752.0                         752.0   \n",
       "2                         734.0                         734.0   \n",
       "3                         743.0                         743.0   \n",
       "4                         705.0                         705.0   \n",
       "\n",
       "  home_team_history_league_id_10 away_team_history_match_date_1  \\\n",
       "0                          636.0                     2019-11-23   \n",
       "1                          752.0                     2019-11-27   \n",
       "2                          734.0                     2019-11-21   \n",
       "3                          743.0                     2019-11-28   \n",
       "4                          705.0                     2019-11-27   \n",
       "\n",
       "  away_team_history_match_date_2 away_team_history_match_date_3  \\\n",
       "0                     2019-11-15                     2019-11-10   \n",
       "1                     2019-11-23                     2019-11-09   \n",
       "2                     2019-11-10                     2019-10-26   \n",
       "3                     2019-11-23                     2019-11-09   \n",
       "4                     2019-11-24                     2019-11-10   \n",
       "\n",
       "  away_team_history_match_date_4 away_team_history_match_date_5  \\\n",
       "0                     2019-11-02                     2019-10-30   \n",
       "1                     2019-11-02                     2019-10-28   \n",
       "2                     2019-10-20                     2019-10-16   \n",
       "3                     2019-11-04                     2019-11-01   \n",
       "4                     2019-11-02                     2019-10-26   \n",
       "\n",
       "  away_team_history_match_date_6 away_team_history_match_date_7  \\\n",
       "0                     2019-10-23                     2019-10-18   \n",
       "1                     2019-10-21                     2019-10-16   \n",
       "2                     2019-10-12                     2019-10-05   \n",
       "3                     2019-10-26                     2019-10-19   \n",
       "4                     2019-10-23                     2019-10-20   \n",
       "\n",
       "  away_team_history_match_date_8 away_team_history_match_date_9  \\\n",
       "0                     2019-10-11                     2019-10-06   \n",
       "1                     2019-09-29                     2019-09-20   \n",
       "2                     2019-09-28                     2019-09-22   \n",
       "3                     2019-10-05                     2019-10-02   \n",
       "4                     2019-10-05                     2019-10-02   \n",
       "\n",
       "  away_team_history_match_date_10  away_team_history_is_play_home_1  \\\n",
       "0                      2019-10-02                             False   \n",
       "1                      2019-09-15                             False   \n",
       "2                      2019-09-18                             False   \n",
       "3                      2019-09-26                              True   \n",
       "4                      2019-09-29                              True   \n",
       "\n",
       "   away_team_history_is_play_home_2  away_team_history_is_play_home_3  \\\n",
       "0                              True                              True   \n",
       "1                              True                             False   \n",
       "2                             False                              True   \n",
       "3                             False                              True   \n",
       "4                             False                              True   \n",
       "\n",
       "   away_team_history_is_play_home_4  away_team_history_is_play_home_5  \\\n",
       "0                             False                              True   \n",
       "1                             False                              True   \n",
       "2                             False                             False   \n",
       "3                             False                              True   \n",
       "4                              True                             False   \n",
       "\n",
       "   away_team_history_is_play_home_6  away_team_history_is_play_home_7  \\\n",
       "0                             False                             False   \n",
       "1                              True                             False   \n",
       "2                              True                              True   \n",
       "3                              True                             False   \n",
       "4                              True                             False   \n",
       "\n",
       "   away_team_history_is_play_home_8  away_team_history_is_play_home_9  \\\n",
       "0                              True                              True   \n",
       "1                              True                             False   \n",
       "2                              True                             False   \n",
       "3                              True                             False   \n",
       "4                              True                              True   \n",
       "\n",
       "   away_team_history_is_play_home_10  away_team_history_is_cup_1  \\\n",
       "0                               True                        True   \n",
       "1                               True                       False   \n",
       "2                               True                       False   \n",
       "3                              False                       False   \n",
       "4                              False                       False   \n",
       "\n",
       "   away_team_history_is_cup_2  away_team_history_is_cup_3  \\\n",
       "0                        True                       False   \n",
       "1                       False                       False   \n",
       "2                       False                       False   \n",
       "3                       False                       False   \n",
       "4                       False                       False   \n",
       "\n",
       "   away_team_history_is_cup_4  away_team_history_is_cup_5  \\\n",
       "0                       False                       False   \n",
       "1                       False                       False   \n",
       "2                       False                       False   \n",
       "3                       False                       False   \n",
       "4                       False                       False   \n",
       "\n",
       "   away_team_history_is_cup_6  away_team_history_is_cup_7  \\\n",
       "0                        True                       False   \n",
       "1                       False                       False   \n",
       "2                       False                       False   \n",
       "3                       False                       False   \n",
       "4                       False                       False   \n",
       "\n",
       "   away_team_history_is_cup_8  away_team_history_is_cup_9  \\\n",
       "0                        True                       False   \n",
       "1                       False                       False   \n",
       "2                       False                       False   \n",
       "3                       False                        True   \n",
       "4                       False                       False   \n",
       "\n",
       "   away_team_history_is_cup_10  away_team_history_goal_1  \\\n",
       "0                         True                       1.0   \n",
       "1                        False                       1.0   \n",
       "2                        False                       3.0   \n",
       "3                        False                       3.0   \n",
       "4                        False                       4.0   \n",
       "\n",
       "   away_team_history_goal_2  away_team_history_goal_3  \\\n",
       "0                       2.0                       0.0   \n",
       "1                       1.0                       0.0   \n",
       "2                       0.0                       0.0   \n",
       "3                       1.0                       3.0   \n",
       "4                       1.0                       0.0   \n",
       "\n",
       "   away_team_history_goal_4  away_team_history_goal_5  \\\n",
       "0                       2.0                       2.0   \n",
       "1                       1.0                       0.0   \n",
       "2                       4.0                       1.0   \n",
       "3                       1.0                       6.0   \n",
       "4                       1.0                       1.0   \n",
       "\n",
       "   away_team_history_goal_6  away_team_history_goal_7  \\\n",
       "0                       0.0                       3.0   \n",
       "1                       1.0                       0.0   \n",
       "2                       3.0                       4.0   \n",
       "3                       2.0                       3.0   \n",
       "4                       3.0                       0.0   \n",
       "\n",
       "   away_team_history_goal_8  away_team_history_goal_9  \\\n",
       "0                       2.0                       2.0   \n",
       "1                       0.0                       0.0   \n",
       "2                       2.0                       4.0   \n",
       "3                       2.0                       1.0   \n",
       "4                       2.0                       4.0   \n",
       "\n",
       "   away_team_history_goal_10  away_team_history_opponent_goal_1  \\\n",
       "0                        2.0                                2.0   \n",
       "1                        4.0                                0.0   \n",
       "2                        0.0                                1.0   \n",
       "3                        2.0                                3.0   \n",
       "4                        2.0                                1.0   \n",
       "\n",
       "   away_team_history_opponent_goal_2  away_team_history_opponent_goal_3  \\\n",
       "0                                0.0                                1.0   \n",
       "1                                2.0                                4.0   \n",
       "2                                1.0                                0.0   \n",
       "3                                3.0                                2.0   \n",
       "4                                2.0                                0.0   \n",
       "\n",
       "   away_team_history_opponent_goal_4  away_team_history_opponent_goal_5  \\\n",
       "0                                1.0                                1.0   \n",
       "1                                1.0                                1.0   \n",
       "2                                2.0                                0.0   \n",
       "3                                1.0                                1.0   \n",
       "4                                0.0                                1.0   \n",
       "\n",
       "   away_team_history_opponent_goal_6  away_team_history_opponent_goal_7  \\\n",
       "0                                1.0                                3.0   \n",
       "1                                0.0                                4.0   \n",
       "2                                2.0                                4.0   \n",
       "3                                2.0                                2.0   \n",
       "4                                1.0                                2.0   \n",
       "\n",
       "   away_team_history_opponent_goal_8  away_team_history_opponent_goal_9  \\\n",
       "0                                0.0                                0.0   \n",
       "1                                0.0                                1.0   \n",
       "2                                1.0                                0.0   \n",
       "3                                3.0                                0.0   \n",
       "4                                1.0                                0.0   \n",
       "\n",
       "   away_team_history_opponent_goal_10  away_team_history_rating_1  \\\n",
       "0                                 0.0                    4.598000   \n",
       "1                                 1.0                    6.000587   \n",
       "2                                 0.0                    8.379418   \n",
       "3                                 3.0                    5.998800   \n",
       "4                                 2.0                    6.349390   \n",
       "\n",
       "   away_team_history_rating_2  away_team_history_rating_3  \\\n",
       "0                   11.825566                    9.374866   \n",
       "1                    4.692008                    4.461575   \n",
       "2                    4.850100                    8.676865   \n",
       "3                    4.901579                    8.413533   \n",
       "4                    5.894700                    6.113000   \n",
       "\n",
       "   away_team_history_rating_4  away_team_history_rating_5  \\\n",
       "0                    8.265660                   10.769583   \n",
       "1                    5.301500                    8.290211   \n",
       "2                    6.987061                    7.966967   \n",
       "3                    4.960117                    7.482900   \n",
       "4                    7.766560                    4.168200   \n",
       "\n",
       "   away_team_history_rating_6  away_team_history_rating_7  \\\n",
       "0                    4.680350                    6.429872   \n",
       "1                    5.260700                    4.928100   \n",
       "2                    7.972809                    7.289893   \n",
       "3                    5.912175                    3.986478   \n",
       "4                    7.231369                    3.632279   \n",
       "\n",
       "   away_team_history_rating_8  away_team_history_rating_9  \\\n",
       "0                   12.773025                   10.970815   \n",
       "1                    5.708921                    4.125842   \n",
       "2                    7.604720                    6.451019   \n",
       "3                    6.515762                    4.575759   \n",
       "4                    6.414396                    7.972750   \n",
       "\n",
       "   away_team_history_rating_10  away_team_history_opponent_rating_1  \\\n",
       "0                     5.924407                             5.253225   \n",
       "1                     4.103719                             6.881763   \n",
       "2                    10.021854                             5.487338   \n",
       "3                     5.434175                             5.998800   \n",
       "4                     4.290735                             5.575180   \n",
       "\n",
       "   away_team_history_opponent_rating_2  away_team_history_opponent_rating_3  \\\n",
       "0                             2.819963                             3.114820   \n",
       "1                             6.840558                             8.700362   \n",
       "2                             7.697712                             4.186315   \n",
       "3                             6.548433                             4.576617   \n",
       "4                             5.901842                             5.751275   \n",
       "\n",
       "   away_team_history_opponent_rating_4  away_team_history_opponent_rating_5  \\\n",
       "0                             3.283603                             2.574183   \n",
       "1                             5.156150                             3.864878   \n",
       "2                             5.183071                             6.176583   \n",
       "3                             8.342183                             4.878850   \n",
       "4                             4.163600                             8.559950   \n",
       "\n",
       "   away_team_history_opponent_rating_6  away_team_history_opponent_rating_7  \\\n",
       "0                             5.887331                             4.570225   \n",
       "1                             6.237028                             6.871904   \n",
       "2                             4.054209                             4.650054   \n",
       "3                             6.208425                             7.483589   \n",
       "4                             4.059211                             8.935007   \n",
       "\n",
       "   away_team_history_opponent_rating_8  away_team_history_opponent_rating_9  \\\n",
       "0                             2.843267                             3.057739   \n",
       "1                             5.716200                             7.960465   \n",
       "2                             5.284983                             5.299259   \n",
       "3                             5.587388                             7.301455   \n",
       "4                             5.888077                             4.413683   \n",
       "\n",
       "   away_team_history_opponent_rating_10 away_team_history_coach_1  \\\n",
       "0                              4.684664                  468200.0   \n",
       "1                              9.994455                22169161.0   \n",
       "2                              3.862791                  456313.0   \n",
       "3                              7.766763                  465797.0   \n",
       "4                              7.031961                  426870.0   \n",
       "\n",
       "  away_team_history_coach_2 away_team_history_coach_3  \\\n",
       "0                  468200.0                  468200.0   \n",
       "1                22169161.0                22169161.0   \n",
       "2                  456313.0                  456313.0   \n",
       "3                  465797.0                  465797.0   \n",
       "4                  426870.0                  426870.0   \n",
       "\n",
       "  away_team_history_coach_4 away_team_history_coach_5  \\\n",
       "0                  468200.0                  468200.0   \n",
       "1                22169161.0                22169161.0   \n",
       "2                  456313.0                  456313.0   \n",
       "3                  465797.0                  465797.0   \n",
       "4                  426870.0                  426870.0   \n",
       "\n",
       "  away_team_history_coach_6 away_team_history_coach_7  \\\n",
       "0                  468200.0                  468200.0   \n",
       "1                22169161.0                22169161.0   \n",
       "2                  456313.0                  456313.0   \n",
       "3                  465797.0                  465797.0   \n",
       "4                  426870.0                  426870.0   \n",
       "\n",
       "  away_team_history_coach_8 away_team_history_coach_9  \\\n",
       "0                  468200.0                  468200.0   \n",
       "1                22169161.0                22169161.0   \n",
       "2                  456313.0                  456313.0   \n",
       "3                  465797.0                  465797.0   \n",
       "4                37261558.0                37261558.0   \n",
       "\n",
       "  away_team_history_coach_10 away_team_history_league_id_1  \\\n",
       "0                   468200.0                        1122.0   \n",
       "1                 22169161.0                         752.0   \n",
       "2                   456313.0                         734.0   \n",
       "3                   465797.0                         743.0   \n",
       "4                 37261558.0                         705.0   \n",
       "\n",
       "  away_team_history_league_id_2 away_team_history_league_id_3  \\\n",
       "0                         642.0                         636.0   \n",
       "1                         752.0                         752.0   \n",
       "2                         734.0                         734.0   \n",
       "3                         743.0                         743.0   \n",
       "4                         705.0                         705.0   \n",
       "\n",
       "  away_team_history_league_id_4 away_team_history_league_id_5  \\\n",
       "0                         636.0                         636.0   \n",
       "1                         752.0                         752.0   \n",
       "2                         734.0                         734.0   \n",
       "3                         743.0                         743.0   \n",
       "4                         705.0                         705.0   \n",
       "\n",
       "  away_team_history_league_id_6 away_team_history_league_id_7  \\\n",
       "0                        1122.0                         636.0   \n",
       "1                         752.0                         752.0   \n",
       "2                         734.0                         734.0   \n",
       "3                         743.0                         743.0   \n",
       "4                         705.0                         705.0   \n",
       "\n",
       "  away_team_history_league_id_8 away_team_history_league_id_9  \\\n",
       "0                         642.0                         636.0   \n",
       "1                         752.0                         752.0   \n",
       "2                         734.0                         734.0   \n",
       "3                         743.0                         746.0   \n",
       "4                         705.0                         705.0   \n",
       "\n",
       "  away_team_history_league_id_10  \n",
       "0                         1122.0  \n",
       "1                          752.0  \n",
       "2                          734.0  \n",
       "3                          743.0  \n",
       "4                          705.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.limit(5).toPandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "742a37c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train\n",
      "+---------------+---------------+\n",
      "|min(match_date)|max(match_date)|\n",
      "+---------------+---------------+\n",
      "|     2019-12-01|     2021-05-01|\n",
      "+---------------+---------------+\n",
      "\n",
      "test\n",
      "+---------------+---------------+\n",
      "|min(match_date)|max(match_date)|\n",
      "+---------------+---------------+\n",
      "|     2021-05-01|     2021-11-30|\n",
      "+---------------+---------------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"train\")\n",
    "train.agg({\"match_date\": \"min\"}).join(train.agg({\"match_date\": \"max\"})).show()\n",
    "\n",
    "print(\"test\")\n",
    "test.agg({\"match_date\": \"min\"}).join(test.agg({\"match_date\": \"max\"})).show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "679af388",
   "metadata": {},
   "source": [
    "#### Checking the match frequency over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9c2d52f4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train: 73 weeks\n",
      "test:  32 weeks\n"
     ]
    }
   ],
   "source": [
    "train_count_per_week = train.groupBy(f.date_trunc(\"week\", \"match_date\").alias(\"week\")).count().sort(\"week\")\n",
    "print(f\"train: {train_count_per_week.count()} weeks\")\n",
    "\n",
    "test_count_per_week = test.groupBy(f.date_trunc(\"week\", \"match_date\").alias(\"week\")).count().sort(\"week\")\n",
    "print(f\"test:  {test_count_per_week.count()} weeks\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c1dbbb3b",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "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>count</th>\n",
       "      <th>relative_freq</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>partition</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>train</th>\n",
       "      <td>110938</td>\n",
       "      <td>0.6041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>test</th>\n",
       "      <td>72711</td>\n",
       "      <td>0.3959</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            count  relative_freq\n",
       "partition                       \n",
       "train      110938         0.6041\n",
       "test        72711         0.3959"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot.bar_multi(df_list=[train_count_per_week, test_count_per_week], \n",
    "               x=\"week\", y=\"count\", legend_list=[\"train\", \"test\"], title=\"Total matches per week\", \n",
    "               alpha=0.5, color_list=[COLOR_TRAIN, COLOR_TEST], figsize=(14,4))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf59d219",
   "metadata": {},
   "source": [
    "#### Checking values presence in both partitions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e814127c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>train exclusive</th>\n",
       "      <th>intersection</th>\n",
       "      <th>test exclusive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>relative_freq</th>\n",
       "      <td>0.1279</td>\n",
       "      <td>0.7265</td>\n",
       "      <td>0.1455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>absolute_freq</th>\n",
       "      <td>109.0000</td>\n",
       "      <td>619.0000</td>\n",
       "      <td>124.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               train exclusive  intersection  test exclusive\n",
       "relative_freq           0.1279        0.7265          0.1455\n",
       "absolute_freq         109.0000      619.0000        124.0000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot.venn(train, test, on_colnames=\"league_name\", labels=[\"train\", \"test\"], title=\"Venn Diagram: league_name\",\n",
    "          colors=[COLOR_TRAIN, COLOR_TEST], alpha=0.5, figsize=(6,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b2b2b2c",
   "metadata": {},
   "source": [
    "# Train and Validation split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c64fda2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_count_per_week_cumsum = stats.cum_sum(df=train_count_per_week, \n",
    "                                            colname=\"count\", \n",
    "                                            order_by=\"week\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5379ab9e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max_week_train: 2021-02-08\n",
      "min_week_valid: 2021-02-15\n",
      "\n",
      "proposed_train: (87470, 191)\n",
      "proposed_valid: (23468, 191)\n"
     ]
    }
   ],
   "source": [
    "split_threshold = 0.80\n",
    "\n",
    "proposed_train_count_per_week_cumsum = train_count_per_week_cumsum.filter(f.col(\"cumsum_rel(count)\") <= split_threshold)\n",
    "proposed_valid_count_per_week_cumsum = train_count_per_week_cumsum.filter(f.col(\"cumsum_rel(count)\") > split_threshold)\n",
    "\n",
    "max_week_train = proposed_train_count_per_week_cumsum.agg({\"week\": \"max\"}).collect()[0][\"max(week)\"].strftime(\"%Y-%m-%d\")\n",
    "min_week_valid = proposed_valid_count_per_week_cumsum.agg({\"week\": \"min\"}).collect()[0][\"min(week)\"].strftime(\"%Y-%m-%d\")\n",
    "\n",
    "proposed_train = train.filter(train[\"match_date\"] < min_week_valid)\n",
    "proposed_valid = train.filter(train[\"match_date\"] >= min_week_valid)\n",
    "\n",
    "print(f\"max_week_train: {max_week_train}\")\n",
    "print(f\"min_week_valid: {min_week_valid}\")\n",
    "print()\n",
    "print(f\"proposed_train: {dflib.shape(proposed_train)}\")\n",
    "print(f\"proposed_valid: {dflib.shape(proposed_valid)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "979585a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>relative_freq</th>\n",
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       "      <th>partition</th>\n",
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       "  <tbody>\n",
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       "      <th>train</th>\n",
       "      <td>87470</td>\n",
       "      <td>0.4763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>valid</th>\n",
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       "    <tr>\n",
       "      <th>test</th>\n",
       "      <td>72711</td>\n",
       "      <td>0.3959</td>\n",
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      "text/plain": [
       "           count  relative_freq\n",
       "partition                      \n",
       "train      87470         0.4763\n",
       "valid      23468         0.1278\n",
       "test       72711         0.3959"
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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>train exclusive</th>\n",
       "      <th>intersection</th>\n",
       "      <th>valid exclusive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>relative_freq</th>\n",
       "      <td>0.3475</td>\n",
       "      <td>0.6319</td>\n",
       "      <td>0.0206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>absolute_freq</th>\n",
       "      <td>253.0000</td>\n",
       "      <td>460.0000</td>\n",
       "      <td>15.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               train exclusive  intersection  valid exclusive\n",
       "relative_freq           0.3475        0.6319           0.0206\n",
       "absolute_freq         253.0000      460.0000          15.0000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot.bar_multi(df_list=[proposed_train_count_per_week_cumsum, proposed_valid_count_per_week_cumsum, test_count_per_week], \n",
    "               x=\"week\", y=\"count\", legend_list=[\"train\", \"valid\", \"test\"], title=\"Total matches per week\", \n",
    "               alpha=0.5, color_list=[COLOR_TRAIN, COLOR_VALID, COLOR_TEST], figsize=(14,4))\n",
    "pretties.hr()\n",
    "plot.venn(proposed_train, proposed_valid, on_colnames=\"league_name\", labels=[\"train\", \"valid\"], \n",
    "          title=\"Venn Diagram: league_name\", colors=[COLOR_TRAIN, COLOR_VALID], alpha=0.5, figsize=(6,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fd72322",
   "metadata": {},
   "source": [
    "# Split Threshold\n",
    "\n",
    "The validation partition have 20% most recent matches of train dataset. <br>\n",
    "Considering the whole data available, originals train.csv and test.csv, the proportion of each dataset are:\n",
    " * train: 47.6%\n",
    " * validation: 12.8%\n",
    " * test: 39.6%\n",
    " \n",
    "One interesting thing to hilight is that the validation dataset contains less 'unknown' `league_name` than test dataset. Depending on how the features selected and built, it may contribute for even better results in validation metrics. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1c10917d",
   "metadata": {},
   "outputs": [],
   "source": [
    "dao_interim.save_train_train_ids(proposed_train.select(\"id\"))\n",
    "dao_interim.save_train_valid_ids(proposed_valid.select(\"id\"))"
   ]
  }
 ],
 "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"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}