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fantastyczne_gole/notebooks/xgboost_dla_xG.ipynb
LukaszChrostowski ffe2c13cdf model update
2024-01-20 17:18:19 +01:00

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Imports"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"from sklearn.model_selection import train_test_split, StratifiedKFold, GridSearchCV\n",
"from sklearn.metrics import confusion_matrix, mean_squared_error, mean_absolute_error, r2_score\n",
"import xgboost\n",
"import time\n",
"from joblib import dump, load\n",
"import os"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Load the data"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv('final_data_new.csv')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['minute', 'position_name', 'shot_body_part_name', 'shot_technique_name',\n",
" 'shot_type_name', 'shot_first_time', 'shot_one_on_one',\n",
" 'shot_aerial_won', 'shot_open_goal', 'shot_follows_dribble',\n",
" 'shot_redirect', 'x1', 'y1', 'number_of_players_opponents',\n",
" 'number_of_players_teammates', 'is_goal', 'angle', 'distance',\n",
" 'x_player_opponent_Goalkeeper', 'x_player_opponent_8',\n",
" 'x_player_opponent_1', 'x_player_opponent_2', 'x_player_opponent_3',\n",
" 'x_player_teammate_1', 'x_player_opponent_4', 'x_player_opponent_5',\n",
" 'x_player_opponent_6', 'x_player_teammate_2', 'x_player_opponent_9',\n",
" 'x_player_opponent_10', 'x_player_opponent_11', 'x_player_teammate_3',\n",
" 'x_player_teammate_4', 'x_player_teammate_5', 'x_player_teammate_6',\n",
" 'x_player_teammate_7', 'x_player_teammate_8', 'x_player_teammate_9',\n",
" 'x_player_teammate_10', 'y_player_opponent_Goalkeeper',\n",
" 'y_player_opponent_8', 'y_player_opponent_1', 'y_player_opponent_2',\n",
" 'y_player_opponent_3', 'y_player_teammate_1', 'y_player_opponent_4',\n",
" 'y_player_opponent_5', 'y_player_opponent_6', 'y_player_teammate_2',\n",
" 'y_player_opponent_9', 'y_player_opponent_10', 'y_player_opponent_11',\n",
" 'y_player_teammate_3', 'y_player_teammate_4', 'y_player_teammate_5',\n",
" 'y_player_teammate_6', 'y_player_teammate_7', 'y_player_teammate_8',\n",
" 'y_player_teammate_9', 'y_player_teammate_10', 'x_player_opponent_7',\n",
" 'y_player_opponent_7', 'x_player_teammate_Goalkeeper',\n",
" 'y_player_teammate_Goalkeeper'],\n",
" dtype='object')"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.columns"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>minute</th>\n",
" <th>position_name</th>\n",
" <th>shot_body_part_name</th>\n",
" <th>shot_technique_name</th>\n",
" <th>shot_type_name</th>\n",
" <th>shot_first_time</th>\n",
" <th>shot_one_on_one</th>\n",
" <th>shot_aerial_won</th>\n",
" <th>shot_open_goal</th>\n",
" <th>shot_follows_dribble</th>\n",
" <th>...</th>\n",
" <th>y_player_teammate_5</th>\n",
" <th>y_player_teammate_6</th>\n",
" <th>y_player_teammate_7</th>\n",
" <th>y_player_teammate_8</th>\n",
" <th>y_player_teammate_9</th>\n",
" <th>y_player_teammate_10</th>\n",
" <th>x_player_opponent_7</th>\n",
" <th>y_player_opponent_7</th>\n",
" <th>x_player_teammate_Goalkeeper</th>\n",
" <th>y_player_teammate_Goalkeeper</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2</td>\n",
" <td>Left Center Forward</td>\n",
" <td>Right Foot</td>\n",
" <td>Half Volley</td>\n",
" <td>Open Play</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>26.6</td>\n",
" <td>53.1</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>5</td>\n",
" <td>Left Back</td>\n",
" <td>Left Foot</td>\n",
" <td>Volley</td>\n",
" <td>Open Play</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>...</td>\n",
" <td>20.6</td>\n",
" <td>32.8</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>23.8</td>\n",
" <td>31.2</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>15</td>\n",
" <td>Left Center Forward</td>\n",
" <td>Left Foot</td>\n",
" <td>Normal</td>\n",
" <td>Open Play</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>...</td>\n",
" <td>29.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>29.6</td>\n",
" <td>55.3</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>16</td>\n",
" <td>Center Forward</td>\n",
" <td>Head</td>\n",
" <td>Normal</td>\n",
" <td>Open Play</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>26.7</td>\n",
" <td>60.4</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>18</td>\n",
" <td>Right Center Forward</td>\n",
" <td>Right Foot</td>\n",
" <td>Normal</td>\n",
" <td>Open Play</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>...</td>\n",
" <td>27.9</td>\n",
" <td>31.4</td>\n",
" <td>33.4</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>16.9</td>\n",
" <td>40.1</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 64 columns</p>\n",
"</div>"
],
"text/plain": [
" minute position_name shot_body_part_name shot_technique_name \\\n",
"0 2 Left Center Forward Right Foot Half Volley \n",
"1 5 Left Back Left Foot Volley \n",
"2 15 Left Center Forward Left Foot Normal \n",
"3 16 Center Forward Head Normal \n",
"4 18 Right Center Forward Right Foot Normal \n",
"\n",
" shot_type_name shot_first_time shot_one_on_one shot_aerial_won \\\n",
"0 Open Play True False False \n",
"1 Open Play True False False \n",
"2 Open Play False False False \n",
"3 Open Play False False True \n",
"4 Open Play False False False \n",
"\n",
" shot_open_goal shot_follows_dribble ... y_player_teammate_5 \\\n",
"0 False False ... NaN \n",
"1 False False ... 20.6 \n",
"2 False False ... 29.0 \n",
"3 False False ... NaN \n",
"4 False False ... 27.9 \n",
"\n",
" y_player_teammate_6 y_player_teammate_7 y_player_teammate_8 \\\n",
"0 NaN NaN NaN \n",
"1 32.8 NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 31.4 33.4 NaN \n",
"\n",
" y_player_teammate_9 y_player_teammate_10 x_player_opponent_7 \\\n",
"0 NaN NaN 26.6 \n",
"1 NaN NaN 23.8 \n",
"2 NaN NaN 29.6 \n",
"3 NaN NaN 26.7 \n",
"4 NaN NaN 16.9 \n",
"\n",
" y_player_opponent_7 x_player_teammate_Goalkeeper \\\n",
"0 53.1 NaN \n",
"1 31.2 NaN \n",
"2 55.3 NaN \n",
"3 60.4 NaN \n",
"4 40.1 NaN \n",
"\n",
" y_player_teammate_Goalkeeper \n",
"0 NaN \n",
"1 NaN \n",
"2 NaN \n",
"3 NaN \n",
"4 NaN \n",
"\n",
"[5 rows x 64 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Data preparation"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"# df[['minute', \n",
"# 'number_of_players_opponents', \n",
"# 'number_of_players_teammates']] = df[['minute', \n",
"# 'number_of_players_opponents', \n",
"# 'number_of_players_teammates']].astype(float)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.preprocessing import OrdinalEncoder\n",
"\n",
"enc = OrdinalEncoder()\n",
"\n",
"df[['position_name', \n",
" 'shot_technique_name', \n",
" 'shot_type_name', \n",
" 'shot_body_part_name']] = enc.fit_transform(df[['position_name', \n",
" 'shot_technique_name', \n",
" 'shot_type_name',\n",
" 'shot_body_part_name']])"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"df[['minute', \n",
" 'position_name', \n",
" 'shot_technique_name', \n",
" 'shot_type_name', \n",
" 'shot_body_part_name']] = df[['minute', \n",
" 'position_name', \n",
" 'shot_technique_name', \n",
" 'shot_type_name', \n",
" 'shot_body_part_name']].astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
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" <th>shot_first_time</th>\n",
" <th>shot_one_on_one</th>\n",
" <th>shot_aerial_won</th>\n",
" <th>shot_open_goal</th>\n",
" <th>shot_follows_dribble</th>\n",
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" <th>y_player_teammate_7</th>\n",
" <th>y_player_teammate_8</th>\n",
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" <th>x_player_opponent_7</th>\n",
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" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>82820</th>\n",
" <td>88</td>\n",
" <td>8</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>20.0</td>\n",
" <td>44.5</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>82821 rows × 64 columns</p>\n",
"</div>"
],
"text/plain": [
" minute position_name shot_body_part_name shot_technique_name \\\n",
"0 2 9 3 2 \n",
"1 5 7 1 6 \n",
"2 15 9 1 4 \n",
"3 16 3 0 4 \n",
"4 18 18 3 4 \n",
"... ... ... ... ... \n",
"82816 79 0 3 2 \n",
"82817 80 20 3 4 \n",
"82818 82 0 3 4 \n",
"82819 84 21 3 4 \n",
"82820 88 8 1 2 \n",
"\n",
" shot_type_name shot_first_time shot_one_on_one shot_aerial_won \\\n",
"0 3 True False False \n",
"1 3 True False False \n",
"2 3 False False False \n",
"3 3 False False True \n",
"4 3 False False False \n",
"... ... ... ... ... \n",
"82816 3 True False False \n",
"82817 3 False False False \n",
"82818 3 True False False \n",
"82819 3 False False False \n",
"82820 3 False False False \n",
"\n",
" shot_open_goal shot_follows_dribble ... y_player_teammate_5 \\\n",
"0 False False ... NaN \n",
"1 False False ... 20.6 \n",
"2 False False ... 29.0 \n",
"3 False False ... NaN \n",
"4 False False ... 27.9 \n",
"... ... ... ... ... \n",
"82816 False False ... 30.9 \n",
"82817 False False ... 60.2 \n",
"82818 False False ... NaN \n",
"82819 False False ... NaN \n",
"82820 False False ... NaN \n",
"\n",
" y_player_teammate_6 y_player_teammate_7 y_player_teammate_8 \\\n",
"0 NaN NaN NaN \n",
"1 32.8 NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 31.4 33.4 NaN \n",
"... ... ... ... \n",
"82816 NaN NaN NaN \n",
"82817 NaN NaN NaN \n",
"82818 NaN NaN NaN \n",
"82819 NaN NaN NaN \n",
"82820 NaN NaN NaN \n",
"\n",
" y_player_teammate_9 y_player_teammate_10 x_player_opponent_7 \\\n",
"0 NaN NaN 26.6 \n",
"1 NaN NaN 23.8 \n",
"2 NaN NaN 29.6 \n",
"3 NaN NaN 26.7 \n",
"4 NaN NaN 16.9 \n",
"... ... ... ... \n",
"82816 NaN NaN 30.8 \n",
"82817 NaN NaN 31.9 \n",
"82818 NaN NaN NaN \n",
"82819 NaN NaN NaN \n",
"82820 NaN NaN 20.0 \n",
"\n",
" y_player_opponent_7 x_player_teammate_Goalkeeper \\\n",
"0 53.1 NaN \n",
"1 31.2 NaN \n",
"2 55.3 NaN \n",
"3 60.4 NaN \n",
"4 40.1 NaN \n",
"... ... ... \n",
"82816 40.3 NaN \n",
"82817 47.7 NaN \n",
"82818 NaN NaN \n",
"82819 NaN NaN \n",
"82820 44.5 NaN \n",
"\n",
" y_player_teammate_Goalkeeper \n",
"0 NaN \n",
"1 NaN \n",
"2 NaN \n",
"3 NaN \n",
"4 NaN \n",
"... ... \n",
"82816 NaN \n",
"82817 NaN \n",
"82818 NaN \n",
"82819 NaN \n",
"82820 NaN \n",
"\n",
"[82821 rows x 64 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['labelEncoder.joblib']"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dump(enc,'labelEncoder.joblib')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"enc2 = load('labelEncoder.joblib')"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
"# df[['position_name', \n",
"# 'shot_technique_name', \n",
"# 'shot_type_name', \n",
"# 'shot_body_part_name']] = enc2.inverse_transform(df[['position_name', \n",
"# 'shot_technique_name', \n",
"# 'shot_type_name',\n",
"# 'shot_body_part_name']])\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [],
"source": [
"# df[['position_name', \n",
"# 'shot_technique_name', \n",
"# 'shot_type_name', \n",
"# 'shot_body_part_name']] = enc2.transform(df[['position_name', \n",
"# 'shot_technique_name', \n",
"# 'shot_type_name', \n",
"# 'shot_body_part_name']])"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
"# enc.inverse_transform(df[['position_name', \n",
"# 'shot_technique_name', \n",
"# 'shot_type_name',\n",
"# 'shot_body_part_name']])"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"# ############### NEW ################\n",
"# from sklearn.preprocessing import LabelEncoder\n",
"\n",
"# le_posiotion_name = LabelEncoder()\n",
"# le_shot_technique_name = LabelEncoder()\n",
"# le_shot_type_name = LabelEncoder()\n",
"# le_shot_body_part_name = LabelEncoder()\n",
"\n",
"# df['position_name'] = le_posiotion_name.fit_transform(df['position_name'])\n",
"# df['shot_technique_name'] = le_shot_technique_name.fit_transform(df['shot_technique_name'])\n",
"# df['shot_type_name'] = le_shot_type_name.fit_transform(df['shot_type_name'])\n",
"# df['shot_body_part_name'] = le_shot_body_part_name.fit_transform(df['shot_body_part_name'])"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"# Change the type of categorical features to 'category' \n",
"df[['position_name', \n",
" 'shot_technique_name', \n",
" 'shot_type_name', \n",
" 'number_of_players_opponents', \n",
" 'number_of_players_teammates', \n",
" 'shot_body_part_name']] = df[['position_name', \n",
" 'shot_technique_name', \n",
" 'shot_type_name', \n",
" 'number_of_players_opponents', \n",
" 'number_of_players_teammates', \n",
" 'shot_body_part_name']].astype('category')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"# Splitting the dataset into features (X) and the target variable (y)\n",
"y = pd.DataFrame(df['is_goal'])\n",
"X = df.drop(['is_goal'], axis=1)\n",
"\n",
"# Splitting the data into a training set and a test set\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1)\n",
"\n",
"# Create cross-validation \n",
"cv = StratifiedKFold(n_splits=5, shuffle=True, random_state=1)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Shots attempted in the training set: 58970\n",
"Goals scored in the training set: 7286\n"
]
}
],
"source": [
"count_class_0, count_class_1 = y_train.value_counts()\n",
"\n",
"# Display the count of shots attempted in the training set\n",
"print('Shots attempted in the training set:', count_class_0)\n",
"\n",
"# Display the count of successful goals in the training set\n",
"print('Goals scored in the training set:', count_class_1)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Class imbalance in training data: 8.094\n"
]
}
],
"source": [
"# Class imbalance in training data\n",
"scale_pos_weight = count_class_0 / count_class_1\n",
"print(f' Class imbalance in training data: {scale_pos_weight:.3f}')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Training XGBoost model "
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"# Define the xgboost model\n",
"xgb_model = xgboost.XGBClassifier(enable_categorical=True, tree_method='hist', objective='binary:logistic')"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"# Defining the hyper-parameter grid for XG Boost\n",
"param_grid_xgb = {'learning_rate': [0.01, 0.001, 0.0001],\n",
" 'max_depth': [3, 5, 7, 8, 9],\n",
" 'n_estimators': [100, 150, 200, 250, 300],\n",
" 'scale_pos_weight': [1, scale_pos_weight]}"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"# Starting the timer\n",
"start_time = time.time()\n",
"\n",
"# Perform grid search with cross-validation\n",
"grid_xg = GridSearchCV(xgb_model, param_grid=param_grid_xgb, cv=cv, scoring='neg_mean_squared_error', n_jobs=-1)\n",
"\n",
"# Fit the best model on the entire training set\n",
"grid_xg.fit(X_train, y_train)\n",
"\n",
"# Take the best parameters for xgboost model\n",
"best_xgb_model = grid_xg.best_estimator_\n",
"\n",
"# Stopping the timer\n",
"stop_time = time.time()\n",
"\n",
"# Training Time\n",
"xgb_training_time = stop_time - start_time"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Best parameters: {'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 300, 'scale_pos_weight': 1}\n",
"Model Training Time: 1393.345 seconds\n"
]
}
],
"source": [
"# Print the best parameters and training time\n",
"print(\"Best parameters: \", grid_xg.best_params_)\n",
"print (f\"Model Training Time: {xgb_training_time:.3f} seconds\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Model evaluation"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Training set"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Evaluate the model on training set\n",
"y_pred_train = best_xgb_model.predict(X_train)\n",
"\n",
"# Confusion Matrix for Training Data\n",
"cm_train_xg = confusion_matrix(y_train, y_pred_train)\n",
"ax = sns.heatmap(cm_train_xg, annot=True, cmap='BuPu', fmt='g', linewidth=1.5)\n",
"ax.set_xlabel('Predicted')\n",
"ax.set_ylabel('Actual')\n",
"ax.set_title('Confusion Matrix - Train Set')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test set"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Evaluate the model on test set\n",
"y_pred_test = best_xgb_model.predict(X_test)\n",
"\n",
"# Confusion Matrix for Testig Data\n",
"cm_test_xgb = confusion_matrix(y_test, y_pred_test)\n",
"ax = sns.heatmap(cm_test_xgb, annot=True, cmap='Blues', fmt='g', linewidth=1.5)\n",
"ax.set_xlabel('Predicted')\n",
"ax.set_ylabel('Actual')\n",
"ax.set_title('Confusion Matrix - Test Set')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The test dataset contains 16565 shots, with 1891 of them being goals.\n"
]
}
],
"source": [
"# Number of goals in test set\n",
"print(f'The test dataset contains {len(y_test)} shots, with {y_test.sum()[\"is_goal\"]} of them being goals.')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Feature importance"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plot feature importance with Gain\n",
"xgboost.plot_importance(best_xgb_model, importance_type='gain', xlabel='Gain', max_num_features=20)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plot feature importance with Weight\n",
"xgboost.plot_importance(best_xgb_model, importance_type='weight', xlabel='Weight', max_num_features=30)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Summary"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"# Calculating MAE, RMSE and R2 for training and test sets \n",
"mae_train = mean_absolute_error(y_train, y_pred_train)\n",
"rmse_train = mean_squared_error(y_train, y_pred_train, squared=False)\n",
"r2_train = r2_score(y_train, y_pred_train)\n",
"\n",
"mae_test = mean_absolute_error(y_test, y_pred_test)\n",
"rmse_test = mean_squared_error(y_test, y_pred_test, squared=False)\n",
"r2_test = r2_score(y_test, y_pred_test)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\">\n",
"#T_c2f8d_row0_col0, #T_c2f8d_row0_col1, #T_c2f8d_row0_col2, #T_c2f8d_row0_col3, #T_c2f8d_row0_col4, #T_c2f8d_row0_col5, #T_c2f8d_row0_col6 {\n",
" font-weight: bold;\n",
" border: 2.0px solid grey;\n",
" color: white;\n",
"}\n",
"</style>\n",
"<table id=\"T_c2f8d\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" >&nbsp;</th>\n",
" <th id=\"T_c2f8d_level0_col0\" class=\"col_heading level0 col0\" >Training MAE</th>\n",
" <th id=\"T_c2f8d_level0_col1\" class=\"col_heading level0 col1\" >Training RMSE</th>\n",
" <th id=\"T_c2f8d_level0_col2\" class=\"col_heading level0 col2\" >Training R2</th>\n",
" <th id=\"T_c2f8d_level0_col3\" class=\"col_heading level0 col3\" >Testing MAE</th>\n",
" <th id=\"T_c2f8d_level0_col4\" class=\"col_heading level0 col4\" >Testing RMSE</th>\n",
" <th id=\"T_c2f8d_level0_col5\" class=\"col_heading level0 col5\" >Testing R2</th>\n",
" <th id=\"T_c2f8d_level0_col6\" class=\"col_heading level0 col6\" >Training Time (mins)</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"index_name level0\" >Model Name</th>\n",
" <th class=\"blank col0\" >&nbsp;</th>\n",
" <th class=\"blank col1\" >&nbsp;</th>\n",
" <th class=\"blank col2\" >&nbsp;</th>\n",
" <th class=\"blank col3\" >&nbsp;</th>\n",
" <th class=\"blank col4\" >&nbsp;</th>\n",
" <th class=\"blank col5\" >&nbsp;</th>\n",
" <th class=\"blank col6\" >&nbsp;</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th id=\"T_c2f8d_level0_row0\" class=\"row_heading level0 row0\" >XG Boost</th>\n",
" <td id=\"T_c2f8d_row0_col0\" class=\"data row0 col0\" >0.09646</td>\n",
" <td id=\"T_c2f8d_row0_col1\" class=\"data row0 col1\" >0.31058</td>\n",
" <td id=\"T_c2f8d_row0_col2\" class=\"data row0 col2\" >0.01446</td>\n",
" <td id=\"T_c2f8d_row0_col3\" class=\"data row0 col3\" >0.09919</td>\n",
" <td id=\"T_c2f8d_row0_col4\" class=\"data row0 col4\" >0.31494</td>\n",
" <td id=\"T_c2f8d_row0_col5\" class=\"data row0 col5\" >0.01918</td>\n",
" <td id=\"T_c2f8d_row0_col6\" class=\"data row0 col6\" >23.22242</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x15e925550>"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Creating of dataframe of summary results\n",
"summary_df = pd.DataFrame({'Model Name':['XG Boost'],\n",
" 'Training MAE': mae_train, \n",
" 'Training RMSE': rmse_train,\n",
" 'Training R2':r2_train,\n",
" 'Testing MAE': mae_test, \n",
" 'Testing RMSE': rmse_test,\n",
" 'Testing R2':r2_test,\n",
" 'Training Time (mins)': xgb_training_time/60})\n",
"summary_df.set_index('Model Name', inplace=True)\n",
"\n",
"# Displaying summary of results\n",
"summary_df.style.format(precision =5).set_properties(**{'font-weight': 'bold',\n",
" 'border': '2.0px solid grey','color': 'white'})"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Keeping the xgboost model"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'objective': 'binary:logistic',\n",
" 'base_score': None,\n",
" 'booster': None,\n",
" 'callbacks': None,\n",
" 'colsample_bylevel': None,\n",
" 'colsample_bynode': None,\n",
" 'colsample_bytree': None,\n",
" 'device': None,\n",
" 'early_stopping_rounds': None,\n",
" 'enable_categorical': True,\n",
" 'eval_metric': None,\n",
" 'feature_types': None,\n",
" 'gamma': None,\n",
" 'grow_policy': None,\n",
" 'importance_type': None,\n",
" 'interaction_constraints': None,\n",
" 'learning_rate': 0.01,\n",
" 'max_bin': None,\n",
" 'max_cat_threshold': None,\n",
" 'max_cat_to_onehot': None,\n",
" 'max_delta_step': None,\n",
" 'max_depth': 5,\n",
" 'max_leaves': None,\n",
" 'min_child_weight': None,\n",
" 'missing': nan,\n",
" 'monotone_constraints': None,\n",
" 'multi_strategy': None,\n",
" 'n_estimators': 300,\n",
" 'n_jobs': None,\n",
" 'num_parallel_tree': None,\n",
" 'random_state': None,\n",
" 'reg_alpha': None,\n",
" 'reg_lambda': None,\n",
" 'sampling_method': None,\n",
" 'scale_pos_weight': 1,\n",
" 'subsample': None,\n",
" 'tree_method': 'hist',\n",
" 'validate_parameters': None,\n",
" 'verbosity': None}"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Save the model\n",
"best_xgb_model.save_model('xgboost.json')\n",
"\n",
"best_xgb_model.get_params()"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [],
"source": [
"# Save the model\n",
"# dump(best_xgb_model, 'xgboost.joblib') \n",
"\n",
"# # Load the model\n",
"# model = load('xgboost.joblib')"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[0.9021414 , 0.09785861],\n",
" [0.9434396 , 0.05656038],\n",
" [0.9602713 , 0.0397287 ],\n",
" ...,\n",
" [0.8207403 , 0.17925973],\n",
" [0.88015527, 0.11984473],\n",
" [0.9733864 , 0.02661358]], dtype=float32)"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"best_xgb_model.predict_proba(X)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"new_xgb_model = xgboost.XGBClassifier()\n",
"new_xgb_model.load_model('xgboost.json')"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[0.9021414 , 0.09785861],\n",
" [0.9434396 , 0.05656038],\n",
" [0.9602713 , 0.0397287 ],\n",
" ...,\n",
" [0.8207403 , 0.17925973],\n",
" [0.88015527, 0.11984473],\n",
" [0.9733864 , 0.02661358]], dtype=float32)"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"new_xgb_model.predict_proba(X)"
]
}
],
"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": "3.11.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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