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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Imports"
]
},
{
"cell_type": "code",
"execution_count": 39,
"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": 40,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv('final_data.csv')"
]
},
{
"cell_type": "code",
"execution_count": 41,
"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": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.columns"
]
},
{
"cell_type": "code",
"execution_count": 42,
"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>0</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>NaN</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>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>5</td>\n",
" <td>Right 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>NaN</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>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>5</td>\n",
" <td>Center Midfield</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>48.9</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>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>5</td>\n",
" <td>Left Center Midfield</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>NaN</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>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>Right Center Back</td>\n",
" <td>Left Foot</td>\n",
" <td>Normal</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>NaN</td>\n",
" <td>NaN</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 0 Right Center Forward Right Foot Normal \n",
"1 5 Right Center Forward Left Foot Normal \n",
"2 5 Center Midfield Right Foot Half Volley \n",
"3 5 Left Center Midfield Right Foot Normal \n",
"4 5 Right Center Back Left Foot Normal \n",
"\n",
" shot_type_name shot_first_time shot_one_on_one shot_aerial_won \\\n",
"0 Open Play False False False \n",
"1 Open Play False False False \n",
"2 Open Play True False False \n",
"3 Open Play False False False \n",
"4 Open Play True False False \n",
"\n",
" shot_open_goal shot_follows_dribble ... y_player_teammate_5 \\\n",
"0 False False ... NaN \n",
"1 False False ... NaN \n",
"2 False False ... 48.9 \n",
"3 False False ... NaN \n",
"4 False False ... NaN \n",
"\n",
" y_player_teammate_6 y_player_teammate_7 y_player_teammate_8 \\\n",
"0 NaN NaN NaN \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
"\n",
" y_player_teammate_9 y_player_teammate_10 x_player_opponent_7 \\\n",
"0 NaN NaN NaN \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
"\n",
" y_player_opponent_7 x_player_teammate_Goalkeeper \\\n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"3 NaN NaN \n",
"4 NaN 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": 42,
"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": 44,
"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": 45,
"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": 46,
"metadata": {},
"outputs": [
{
"data": {
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" <th>shot_open_goal</th>\n",
" <th>shot_follows_dribble</th>\n",
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" <th>x_player_teammate_Goalkeeper</th>\n",
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" <td>3</td>\n",
" <td>4</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>62.6</td>\n",
" <td>51.0</td>\n",
" <td>66.7</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>23.0</td>\n",
" <td>45.5</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>38342 rows × 64 columns</p>\n",
"</div>"
],
"text/plain": [
" minute position_name shot_body_part_name shot_technique_name \\\n",
"0 0 18 3 4 \n",
"1 5 18 1 4 \n",
"2 5 4 3 2 \n",
"3 5 10 3 4 \n",
"4 5 17 1 4 \n",
"... ... ... ... ... \n",
"38337 61 3 3 4 \n",
"38338 66 0 3 4 \n",
"38339 73 3 1 6 \n",
"38340 75 13 1 4 \n",
"38341 90 3 3 4 \n",
"\n",
" shot_type_name shot_first_time shot_one_on_one shot_aerial_won \\\n",
"0 3 False False False \n",
"1 3 False False False \n",
"2 3 True False False \n",
"3 3 False False False \n",
"4 3 True False False \n",
"... ... ... ... ... \n",
"38337 3 True False False \n",
"38338 3 True False False \n",
"38339 3 True False False \n",
"38340 3 False False False \n",
"38341 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 ... NaN \n",
"2 False False ... 48.9 \n",
"3 False False ... NaN \n",
"4 False False ... NaN \n",
"... ... ... ... ... \n",
"38337 False False ... 47.3 \n",
"38338 False False ... 47.6 \n",
"38339 False False ... 48.9 \n",
"38340 False False ... 29.1 \n",
"38341 False False ... 62.6 \n",
"\n",
" y_player_teammate_6 y_player_teammate_7 y_player_teammate_8 \\\n",
"0 NaN NaN NaN \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
"... ... ... ... \n",
"38337 42.6 54.7 NaN \n",
"38338 39.4 43.1 NaN \n",
"38339 48.1 41.1 NaN \n",
"38340 33.6 40.9 NaN \n",
"38341 51.0 66.7 NaN \n",
"\n",
" y_player_teammate_9 y_player_teammate_10 x_player_opponent_7 \\\n",
"0 NaN NaN NaN \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
"... ... ... ... \n",
"38337 NaN NaN 21.3 \n",
"38338 NaN NaN 19.0 \n",
"38339 NaN NaN 21.7 \n",
"38340 NaN NaN 21.2 \n",
"38341 NaN NaN 23.0 \n",
"\n",
" y_player_opponent_7 x_player_teammate_Goalkeeper \\\n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"3 NaN NaN \n",
"4 NaN NaN \n",
"... ... ... \n",
"38337 50.9 NaN \n",
"38338 45.8 NaN \n",
"38339 29.6 NaN \n",
"38340 32.4 NaN \n",
"38341 45.5 NaN \n",
"\n",
" y_player_teammate_Goalkeeper \n",
"0 NaN \n",
"1 NaN \n",
"2 NaN \n",
"3 NaN \n",
"4 NaN \n",
"... ... \n",
"38337 NaN \n",
"38338 NaN \n",
"38339 NaN \n",
"38340 NaN \n",
"38341 NaN \n",
"\n",
"[38342 rows x 64 columns]"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['labelEncoder.joblib']"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dump(enc,'labelEncoder.joblib')"
]
},
{
"cell_type": "code",
"execution_count": 48,
"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": 53,
"metadata": {},
"outputs": [],
"source": [
"# Change the type of categorical features to 'category' \n",
"df[['minute',\n",
" '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[['minute',\n",
" '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": 54,
"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": 55,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Shots attempted in the training set: 27085\n",
"Goals scored in the training set: 3588\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": 56,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Class imbalance in training data: 7.549\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": 57,
"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": 58,
"metadata": {},
"outputs": [],
"source": [
"# Defining the hyper-parameter grid for XG Boost\n",
"param_grid_xgb = {'learning_rate': [0.01],\n",
" 'max_depth': [3],\n",
" 'n_estimators': [300],\n",
" 'scale_pos_weight': [1, scale_pos_weight]}"
]
},
{
"cell_type": "code",
"execution_count": 59,
"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": 60,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Best parameters: {'learning_rate': 0.01, 'max_depth': 3, 'n_estimators': 300, 'scale_pos_weight': 1}\n",
"Model Training Time: 16.402 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": 61,
"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": 62,
"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": 63,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The test dataset contains 7669 shots, with 914 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": 64,
"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": 65,
"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": 66,
"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": 67,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\">\n",
"#T_6e8cc_row0_col0, #T_6e8cc_row0_col1, #T_6e8cc_row0_col2, #T_6e8cc_row0_col3, #T_6e8cc_row0_col4, #T_6e8cc_row0_col5, #T_6e8cc_row0_col6 {\n",
" font-weight: bold;\n",
" border: 2.0px solid grey;\n",
" color: white;\n",
"}\n",
"</style>\n",
"<table id=\"T_6e8cc_\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" >&nbsp;</th>\n",
" <th class=\"col_heading level0 col0\" >Training MAE</th>\n",
" <th class=\"col_heading level0 col1\" >Training RMSE</th>\n",
" <th class=\"col_heading level0 col2\" >Training R2</th>\n",
" <th class=\"col_heading level0 col3\" >Testing MAE</th>\n",
" <th class=\"col_heading level0 col4\" >Testing RMSE</th>\n",
" <th class=\"col_heading level0 col5\" >Testing R2</th>\n",
" <th 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_6e8cc_level0_row0\" class=\"row_heading level0 row0\" >XG Boost</th>\n",
" <td id=\"T_6e8cc_row0_col0\" class=\"data row0 col0\" >0.10309</td>\n",
" <td id=\"T_6e8cc_row0_col1\" class=\"data row0 col1\" >0.32107</td>\n",
" <td id=\"T_6e8cc_row0_col2\" class=\"data row0 col2\" >0.00199</td>\n",
" <td id=\"T_6e8cc_row0_col3\" class=\"data row0 col3\" >0.10549</td>\n",
" <td id=\"T_6e8cc_row0_col4\" class=\"data row0 col4\" >0.32479</td>\n",
" <td id=\"T_6e8cc_row0_col5\" class=\"data row0 col5\" >-0.00488</td>\n",
" <td id=\"T_6e8cc_row0_col6\" class=\"data row0 col6\" >0.27337</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x265390f1dc0>"
]
},
"execution_count": 67,
"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": 68,
"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': 3,\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": 68,
"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": 70,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[0.9334918 , 0.06650815],\n",
" [0.9150994 , 0.0849006 ],\n",
" [0.9478227 , 0.05217729],\n",
" ...,\n",
" [0.77691543, 0.2230846 ],\n",
" [0.9318629 , 0.06813709],\n",
" [0.95634604, 0.04365399]], dtype=float32)"
]
},
"execution_count": 70,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"best_xgb_model.predict_proba(X)"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
"new_xgb_model = xgboost.XGBClassifier()\n",
"new_xgb_model.load_model('xgboost.json')"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[0.9334918 , 0.06650815],\n",
" [0.9150994 , 0.0849006 ],\n",
" [0.9478227 , 0.05217729],\n",
" ...,\n",
" [0.77691543, 0.2230846 ],\n",
" [0.9318629 , 0.06813709],\n",
" [0.95634604, 0.04365399]], dtype=float32)"
]
},
"execution_count": 72,
"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": "3.9.16"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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