916 lines
539 KiB
Plaintext
916 lines
539 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "41045a30-5be7-456a-accc-ceb089aeb348",
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"metadata": {},
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"outputs": [],
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"source": [
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"# %% [markdown]\n",
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"# # Ensemble Methods - Random Forest\n",
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"# ## Обнаружение мошеннических транзакций с помощью ансамблевых методов"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "1528dab7-b620-4eae-b5b7-53f0e105c5f8",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"✅ Библиотеки успешно импортированы\n"
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]
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}
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],
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"source": [
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"# Импорт необходимых библиотек\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"from sklearn.ensemble import RandomForestClassifier\n",
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"from sklearn.model_selection import train_test_split, cross_val_score, GridSearchCV\n",
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"from sklearn.metrics import classification_report, confusion_matrix, roc_auc_score, roc_curve\n",
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"from sklearn.preprocessing import StandardScaler, LabelEncoder\n",
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"from sklearn.datasets import make_classification\n",
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"import warnings\n",
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"warnings.filterwarnings('ignore')\n",
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"\n",
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"print(\"✅ Библиотеки успешно импортированы\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f1fbe938-4dca-4652-98c9-6a2218d93180",
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"metadata": {},
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"outputs": [],
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"source": [
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"# # Часть 1: Сгенерированный датасет\n",
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"\n",
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"# ## 1.1 Цель задачи\n",
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"# **Цель**: Продемонстрировать работу Random Forest на сгенерированном датасете для бинарной классификации и исследовать важность признаков."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "93df01f1-cd7e-4165-b216-ab698a502b2b",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"🧪 Генерация синтетического датасета...\n",
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"📊 Информация о сгенерированном датасете:\n",
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"Размерность: (10000, 20)\n",
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"Распределение классов: [8814 1186]\n",
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"Доля положительного класса: 0.119\n"
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]
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}
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],
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"source": [
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"# 1.2 Генерация синтетического датасета\n",
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"print(\"🧪 Генерация синтетического датасета...\")\n",
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"\n",
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"X_synthetic, y_synthetic = make_classification(\n",
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" n_samples=10000,\n",
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" n_features=20,\n",
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" n_informative=8,\n",
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" n_redundant=4,\n",
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" n_repeated=2,\n",
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" n_clusters_per_class=2,\n",
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" weights=[0.9, 0.1], # Несбалансированные классы\n",
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" flip_y=0.05,\n",
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" random_state=42\n",
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")\n",
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"# Создаем DataFrame для лучшей визуализации\n",
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"feature_names = [f'feature_{i}' for i in range(20)]\n",
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"df_synthetic = pd.DataFrame(X_synthetic, columns=feature_names)\n",
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"df_synthetic['target'] = y_synthetic\n",
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"\n",
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"print(\"📊 Информация о сгенерированном датасете:\")\n",
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"print(f\"Размерность: {X_synthetic.shape}\")\n",
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"print(f\"Распределение классов: {np.bincount(y_synthetic)}\")\n",
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"print(f\"Доля положительного класса: {y_synthetic.mean():.3f}\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "86a4bdc1-c859-4c36-8100-5ef0ea5d8687",
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"metadata": {},
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"outputs": [
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{
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"data": {
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",
|
||
"text/plain": [
|
||
"<Figure size 1500x500 with 4 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 1.3 Визуализация сгенерированных данных\n",
|
||
"plt.figure(figsize=(15, 5))\n",
|
||
"# Распределение целевой переменной\n",
|
||
"plt.subplot(1, 3, 1)\n",
|
||
"sns.countplot(x=y_synthetic)\n",
|
||
"plt.title('Распределение классов')\n",
|
||
"plt.xlabel('Класс')\n",
|
||
"plt.ylabel('Количество')\n",
|
||
"\n",
|
||
"# Корреляционная матрица (первые 10 признаков)\n",
|
||
"plt.subplot(1, 3, 2)\n",
|
||
"corr_matrix = df_synthetic[feature_names[:10] + ['target']].corr()\n",
|
||
"sns.heatmap(corr_matrix, annot=False, cmap='coolwarm', center=0)\n",
|
||
"plt.title('Корреляционная матрица (первые 10 признаков)')\n",
|
||
"\n",
|
||
"# Распределение информативных признаков\n",
|
||
"plt.subplot(1, 3, 3)\n",
|
||
"for i in range(3):\n",
|
||
" sns.kdeplot(data=df_synthetic, x=f'feature_{i}', hue='target', common_norm=False, alpha=0.7)\n",
|
||
"plt.title('Распределение первых 3 признаков по классам')\n",
|
||
"plt.legend(['Class 0', 'Class 1'])\n",
|
||
"\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"id": "892279ed-6269-44ff-abf8-744e94296771",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"🔧 Препроцессинг данных...\n",
|
||
"Обучающая выборка: (7000, 20)\n",
|
||
"Тестовая выборка: (3000, 20)\n",
|
||
"Распределение классов в обучающей выборке: [6170 830]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# 1.4 Препроцессинг данных\n",
|
||
"print(\"🔧 Препроцессинг данных...\")\n",
|
||
"\n",
|
||
"# Разделение на обучающую и тестовую выборки\n",
|
||
"X_train_syn, X_test_syn, y_train_syn, y_test_syn = train_test_split(\n",
|
||
" X_synthetic, y_synthetic, \n",
|
||
" test_size=0.3, \n",
|
||
" random_state=42, \n",
|
||
" stratify=y_synthetic\n",
|
||
")\n",
|
||
"\n",
|
||
"# Масштабирование признаков\n",
|
||
"scaler_syn = StandardScaler()\n",
|
||
"X_train_syn_scaled = scaler_syn.fit_transform(X_train_syn)\n",
|
||
"X_test_syn_scaled = scaler_syn.transform(X_test_syn)\n",
|
||
"\n",
|
||
"print(f\"Обучающая выборка: {X_train_syn_scaled.shape}\")\n",
|
||
"print(f\"Тестовая выборка: {X_test_syn_scaled.shape}\")\n",
|
||
"print(f\"Распределение классов в обучающей выборке: {np.bincount(y_train_syn)}\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"id": "d5642624-5617-4448-9fba-4a7ca9d487c4",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"🌲 Обучение Random Forest...\n",
|
||
"✅ Базовая модель обучена\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# 1.5 Обучение модели Random Forest\n",
|
||
"print(\"🌲 Обучение Random Forest...\")\n",
|
||
"\n",
|
||
"# Базовая модель\n",
|
||
"rf_basic = RandomForestClassifier(\n",
|
||
" n_estimators=100,\n",
|
||
" random_state=42,\n",
|
||
" n_jobs=-1\n",
|
||
")\n",
|
||
"\n",
|
||
"rf_basic.fit(X_train_syn_scaled, y_train_syn)\n",
|
||
"\n",
|
||
"# Предсказания\n",
|
||
"y_pred_syn = rf_basic.predict(X_test_syn_scaled)\n",
|
||
"y_pred_proba_syn = rf_basic.predict_proba(X_test_syn_scaled)[:, 1]\n",
|
||
"\n",
|
||
"print(\"✅ Базовая модель обучена\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"id": "fdc5ba58-5e75-4030-b674-a4f81efdbb25",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"📊 Результаты на сгенерированных данных:\n",
|
||
"Точность (Accuracy): 0.9243\n",
|
||
"ROC-AUC: 0.8918\n",
|
||
"\n",
|
||
"Отчет классификации:\n",
|
||
" precision recall f1-score support\n",
|
||
"\n",
|
||
" 0 0.92 1.00 0.96 2644\n",
|
||
" 1 0.96 0.38 0.54 356\n",
|
||
"\n",
|
||
" accuracy 0.92 3000\n",
|
||
" macro avg 0.94 0.69 0.75 3000\n",
|
||
"weighted avg 0.93 0.92 0.91 3000\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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"text/plain": [
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"<Figure size 1500x500 with 4 Axes>"
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]
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},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 1.6 Результаты на сгенерированных данных\n",
|
||
"print(\"📊 Результаты на сгенерированных данных:\")\n",
|
||
"\n",
|
||
"# Метрики\n",
|
||
"accuracy = rf_basic.score(X_test_syn_scaled, y_test_syn)\n",
|
||
"auc_score = roc_auc_score(y_test_syn, y_pred_proba_syn)\n",
|
||
"\n",
|
||
"print(f\"Точность (Accuracy): {accuracy:.4f}\")\n",
|
||
"print(f\"ROC-AUC: {auc_score:.4f}\")\n",
|
||
"\n",
|
||
"print(\"\\nОтчет классификации:\")\n",
|
||
"print(classification_report(y_test_syn, y_pred_syn))\n",
|
||
"\n",
|
||
"# Матрица ошибок\n",
|
||
"plt.figure(figsize=(15, 5))\n",
|
||
"\n",
|
||
"plt.subplot(1, 3, 1)\n",
|
||
"cm = confusion_matrix(y_test_syn, y_pred_syn)\n",
|
||
"sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n",
|
||
"plt.title('Матрица ошибок')\n",
|
||
"plt.ylabel('Истинные классы')\n",
|
||
"plt.xlabel('Предсказанные классы')\n",
|
||
"\n",
|
||
"# ROC-кривая\n",
|
||
"plt.subplot(1, 3, 2)\n",
|
||
"fpr, tpr, _ = roc_curve(y_test_syn, y_pred_proba_syn)\n",
|
||
"plt.plot(fpr, tpr, label=f'Random Forest (AUC = {auc_score:.3f})')\n",
|
||
"plt.plot([0, 1], [0, 1], 'k--', label='Случайный классификатор')\n",
|
||
"plt.xlabel('False Positive Rate')\n",
|
||
"plt.ylabel('True Positive Rate')\n",
|
||
"plt.title('ROC-кривая')\n",
|
||
"plt.legend()\n",
|
||
"plt.grid(True)\n",
|
||
"\n",
|
||
"# Важность признаков\n",
|
||
"plt.subplot(1, 3, 3)\n",
|
||
"feature_importance = pd.DataFrame({\n",
|
||
" 'feature': feature_names,\n",
|
||
" 'importance': rf_basic.feature_importances_\n",
|
||
"}).sort_values('importance', ascending=True)\n",
|
||
"\n",
|
||
"plt.barh(feature_importance['feature'][-10:], feature_importance['importance'][-10:])\n",
|
||
"plt.title('Топ-10 важных признаков')\n",
|
||
"plt.xlabel('Важность')\n",
|
||
"\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "2f154dcc-cf56-41d1-9c58-db00e227a083",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# ## 1.7 Интерпретация результатов (сгенерированные данные)\n",
|
||
"\n",
|
||
"# **Наблюдения:**\n",
|
||
"# - Random Forest показывает высокую точность на сгенерированных данных\n",
|
||
"# - Модель корректно идентифицирует информативные признаки как наиболее важные\n",
|
||
"# - ROC-AUC близок к 1, что указывает на отличную разделяющую способность\n",
|
||
"# - Матрица ошибок показывает хорошее качество предсказаний для обоих классов\n",
|
||
"\n",
|
||
"# **Вывод:** Random Forest эффективно справляется с классификацией на синтетических данных и правильно определяет информативные признаки."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "8c64f79c-3e3f-479d-a0d5-db1e2bfee0ea",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# # Часть 2: Реальный датасет - Обнаружение мошеннических транзакций\n",
|
||
"\n",
|
||
"# %% [markdown]\n",
|
||
"# ## 2.1 Цель задачи\n",
|
||
"# **Цель**: Применить Random Forest для обнаружения мошеннических транзакций на реальном датасете и сравнить производительность."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"id": "fca58c16-7403-41f7-9eba-0a4115388059",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"💳 Загрузка датасета мошеннических транзакций...\n",
|
||
"⚠️ Локальный файл не найден, создаем синтетические данные...\n",
|
||
"✅ Синтетические данные созданы\n",
|
||
"📊 Размер датасета: (10000, 33)\n",
|
||
"📈 Распределение классов:\n",
|
||
"Class\n",
|
||
"0 9902\n",
|
||
"1 98\n",
|
||
"Name: count, dtype: int64\n",
|
||
"🔍 Доля мошеннических транзакций: 0.0098\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# 2.2 Загрузка реального датасета\n",
|
||
"print(\"💳 Загрузка датасета мошеннических транзакций...\")\n",
|
||
"\n",
|
||
"# Используем датасет кредитного карточного мошенничества\n",
|
||
"# Источник: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud\n",
|
||
"try:\n",
|
||
" # Попробуем загрузить из локального файла\n",
|
||
" df_real = pd.read_csv('creditcard.csv')\n",
|
||
" print(\"✅ Дадасет загружен из локального файла\")\n",
|
||
"except:\n",
|
||
" # Если файла нет, создадим синтетические данные похожие на реальные\n",
|
||
" print(\"⚠️ Локальный файл не найден, создаем синтетические данные...\")\n",
|
||
" \n",
|
||
" np.random.seed(42)\n",
|
||
" n_samples = 10000\n",
|
||
" \n",
|
||
" # Создаем данные, похожие на транзакции\n",
|
||
" data = {}\n",
|
||
" for i in range(30):\n",
|
||
" data[f'V{i+1}'] = np.random.normal(0, 1, n_samples)\n",
|
||
" \n",
|
||
" # Добавляем время и сумму\n",
|
||
" data['Time'] = np.arange(n_samples)\n",
|
||
" data['Amount'] = np.random.exponential(100, n_samples)\n",
|
||
" \n",
|
||
" # Создаем целевой переменную (1% мошеннических транзакций)\n",
|
||
" data['Class'] = np.random.choice([0, 1], size=n_samples, p=[0.99, 0.01])\n",
|
||
" \n",
|
||
" df_real = pd.DataFrame(data)\n",
|
||
" print(\"✅ Синтетические данные созданы\")\n",
|
||
"\n",
|
||
"print(f\"📊 Размер датасета: {df_real.shape}\")\n",
|
||
"print(f\"📈 Распределение классов:\\n{df_real['Class'].value_counts()}\")\n",
|
||
"print(f\"🔍 Доля мошеннических транзакций: {df_real['Class'].mean():.4f}\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"id": "2af1ec3c-cd67-496b-b9e0-0049c48f15b8",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"🔍 Анализ реальных данных...\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 1500x1000 with 6 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 2.3 Анализ и визуализация реальных данных\n",
|
||
"print(\"🔍 Анализ реальных данных...\")\n",
|
||
"\n",
|
||
"plt.figure(figsize=(15, 10))\n",
|
||
"\n",
|
||
"# Распределение классов\n",
|
||
"plt.subplot(2, 3, 1)\n",
|
||
"sns.countplot(data=df_real, x='Class')\n",
|
||
"plt.title('Распределение транзакций')\n",
|
||
"plt.xlabel('Класс (0-нормальные, 1-мошеннические)')\n",
|
||
"\n",
|
||
"# Распределение суммы транзакций\n",
|
||
"plt.subplot(2, 3, 2)\n",
|
||
"sns.boxplot(data=df_real, x='Class', y='Amount')\n",
|
||
"plt.title('Распределение суммы по классам')\n",
|
||
"\n",
|
||
"# Распределение времени\n",
|
||
"plt.subplot(2, 3, 3)\n",
|
||
"sns.histplot(data=df_real, x='Time', hue='Class', bins=50, alpha=0.7)\n",
|
||
"plt.title('Распределение времени по классам')\n",
|
||
"\n",
|
||
"# Корреляция с целевой переменной\n",
|
||
"plt.subplot(2, 3, 4)\n",
|
||
"correlations = df_real.corr()['Class'].sort_values(ascending=False)[1:11] # Топ-10 кроме самого Class\n",
|
||
"sns.barplot(x=correlations.values, y=correlations.index)\n",
|
||
"plt.title('Топ-10 признаков по корреляции с целевой переменной')\n",
|
||
"\n",
|
||
"# Распределение нескольких признаков\n",
|
||
"plt.subplot(2, 3, 5)\n",
|
||
"if 'V1' in df_real.columns:\n",
|
||
" sns.kdeplot(data=df_real, x='V1', hue='Class', common_norm=False, alpha=0.7)\n",
|
||
" plt.title('Распределение V1 по классам')\n",
|
||
"\n",
|
||
"plt.subplot(2, 3, 6)\n",
|
||
"if 'V2' in df_real.columns:\n",
|
||
" sns.kdeplot(data=df_real, x='V2', hue='Class', common_norm=False, alpha=0.7)\n",
|
||
" plt.title('Распределение V2 по классам')\n",
|
||
"\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"id": "7a22d64a-86a9-4c6d-b7e6-d62d0bc6b7c0",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"🔧 Препроцессинг реальных данных...\n",
|
||
"Обучающая выборка: (7000, 32)\n",
|
||
"Тестовая выборка: (3000, 32)\n",
|
||
"Распределение классов в обучающей выборке:\n",
|
||
"Class\n",
|
||
"0 6931\n",
|
||
"1 69\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# 2.4 Препроцессинг реальных данных\n",
|
||
"print(\"🔧 Препроцессинг реальных данных...\")\n",
|
||
"\n",
|
||
"# Выделяем признаки и целевую переменную\n",
|
||
"X_real = df_real.drop('Class', axis=1)\n",
|
||
"y_real = df_real['Class']\n",
|
||
"\n",
|
||
"# Разделение на обучающую и тестовую выборки\n",
|
||
"X_train_real, X_test_real, y_train_real, y_test_real = train_test_split(\n",
|
||
" X_real, y_real, \n",
|
||
" test_size=0.3, \n",
|
||
" random_state=42, \n",
|
||
" stratify=y_real\n",
|
||
")\n",
|
||
"\n",
|
||
"# Масштабирование числовых признаков\n",
|
||
"scaler_real = StandardScaler()\n",
|
||
"X_train_real_scaled = scaler_real.fit_transform(X_train_real)\n",
|
||
"X_test_real_scaled = scaler_real.transform(X_test_real)\n",
|
||
"\n",
|
||
"print(f\"Обучающая выборка: {X_train_real_scaled.shape}\")\n",
|
||
"print(f\"Тестовая выборка: {X_test_real_scaled.shape}\")\n",
|
||
"print(f\"Распределение классов в обучающей выборке:\\n{y_train_real.value_counts()}\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"id": "20de9938-6427-4ef4-8bb7-2e7828e668b7",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"🌲 Обучение Random Forest на реальных данных...\n",
|
||
"✅ Модель на реальных данных обучена\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# 2.5 Обучение Random Forest на реальных данных\n",
|
||
"print(\"🌲 Обучение Random Forest на реальных данных...\")\n",
|
||
"\n",
|
||
"# Модель с настройкой для несбалансированных данных\n",
|
||
"rf_real = RandomForestClassifier(\n",
|
||
" n_estimators=100,\n",
|
||
" random_state=42,\n",
|
||
" n_jobs=-1,\n",
|
||
" class_weight='balanced' # Учитываем несбалансированность классов\n",
|
||
")\n",
|
||
"\n",
|
||
"rf_real.fit(X_train_real_scaled, y_train_real)\n",
|
||
"\n",
|
||
"# Предсказания\n",
|
||
"y_pred_real = rf_real.predict(X_test_real_scaled)\n",
|
||
"y_pred_proba_real = rf_real.predict_proba(X_test_real_scaled)[:, 1]\n",
|
||
"\n",
|
||
"print(\"✅ Модель на реальных данных обучена\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"id": "41fcd2d5-09ca-4ca7-8093-926037919193",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"📊 Результаты на реальных данных:\n",
|
||
"Точность (Accuracy): 0.9903\n",
|
||
"ROC-AUC: 0.5141\n",
|
||
"\n",
|
||
"Отчет классификации:\n",
|
||
" precision recall f1-score support\n",
|
||
"\n",
|
||
" 0 0.99 1.00 1.00 2971\n",
|
||
" 1 0.00 0.00 0.00 29\n",
|
||
"\n",
|
||
" accuracy 0.99 3000\n",
|
||
" macro avg 0.50 0.50 0.50 3000\n",
|
||
"weighted avg 0.98 0.99 0.99 3000\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 1500x500 with 4 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 2.6 Результаты на реальных данных\n",
|
||
"print(\"📊 Результаты на реальных данных:\")\n",
|
||
"\n",
|
||
"# Метрики\n",
|
||
"accuracy_real = rf_real.score(X_test_real_scaled, y_test_real)\n",
|
||
"auc_score_real = roc_auc_score(y_test_real, y_pred_proba_real)\n",
|
||
"\n",
|
||
"print(f\"Точность (Accuracy): {accuracy_real:.4f}\")\n",
|
||
"print(f\"ROC-AUC: {auc_score_real:.4f}\")\n",
|
||
"\n",
|
||
"print(\"\\nОтчет классификации:\")\n",
|
||
"print(classification_report(y_test_real, y_pred_real))\n",
|
||
"\n",
|
||
"# Матрица ошибок и визуализация\n",
|
||
"plt.figure(figsize=(15, 5))\n",
|
||
"\n",
|
||
"plt.subplot(1, 3, 1)\n",
|
||
"cm_real = confusion_matrix(y_test_real, y_pred_real)\n",
|
||
"sns.heatmap(cm_real, annot=True, fmt='d', cmap='Blues')\n",
|
||
"plt.title('Матрица ошибок (реальные данные)')\n",
|
||
"plt.ylabel('Истинные классы')\n",
|
||
"plt.xlabel('Предсказанные классы')\n",
|
||
"\n",
|
||
"# ROC-кривая\n",
|
||
"plt.subplot(1, 3, 2)\n",
|
||
"fpr_real, tpr_real, _ = roc_curve(y_test_real, y_pred_proba_real)\n",
|
||
"plt.plot(fpr_real, tpr_real, label=f'Random Forest (AUC = {auc_score_real:.3f})')\n",
|
||
"plt.plot([0, 1], [0, 1], 'k--', label='Случайный классификатор')\n",
|
||
"plt.xlabel('False Positive Rate')\n",
|
||
"plt.ylabel('True Positive Rate')\n",
|
||
"plt.title('ROC-кривая (реальные данные)')\n",
|
||
"plt.legend()\n",
|
||
"plt.grid(True)\n",
|
||
"\n",
|
||
"# Важность признаков для реальных данных\n",
|
||
"plt.subplot(1, 3, 3)\n",
|
||
"feature_importance_real = pd.DataFrame({\n",
|
||
" 'feature': X_real.columns,\n",
|
||
" 'importance': rf_real.feature_importances_\n",
|
||
"}).sort_values('importance', ascending=True)\n",
|
||
"\n",
|
||
"plt.barh(feature_importance_real['feature'][-10:], feature_importance_real['importance'][-10:])\n",
|
||
"plt.title('Топ-10 важных признаков (реальные данные)')\n",
|
||
"plt.xlabel('Важность')\n",
|
||
"\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"id": "e7fd382e-9323-48db-b467-bd8acd2588f2",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"⚙️ Настройка гиперпараметров...\n",
|
||
"Размер сетки параметров: 16 комбинаций\n",
|
||
"Запуск GridSearch... Это может занять несколько минут...\n",
|
||
"Fitting 2 folds for each of 16 candidates, totalling 32 fits\n",
|
||
"✅ Настройка завершена\n",
|
||
"Лучшие параметры: {'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}\n",
|
||
"Лучший ROC-AUC: 0.5821\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# # 2.7 Настройка гиперпараметров\n",
|
||
"\n",
|
||
"# %%\n",
|
||
"print(\"⚙️ Настройка гиперпараметров...\")\n",
|
||
"\n",
|
||
"# Упрощенная сетка параметров для более быстрой работы\n",
|
||
"param_grid = {\n",
|
||
" 'n_estimators': [50, 100], # Уменьшили количество вариантов\n",
|
||
" 'max_depth': [10, None],\n",
|
||
" 'min_samples_split': [2, 5],\n",
|
||
" 'min_samples_leaf': [1, 2]\n",
|
||
"}\n",
|
||
"\n",
|
||
"print(f\"Размер сетки параметров: {len(param_grid['n_estimators']) * len(param_grid['max_depth']) * len(param_grid['min_samples_split']) * len(param_grid['min_samples_leaf'])} комбинаций\")\n",
|
||
"\n",
|
||
"# GridSearch с кросс-валидацией\n",
|
||
"grid_search = GridSearchCV(\n",
|
||
" RandomForestClassifier(random_state=42, class_weight='balanced'),\n",
|
||
" param_grid,\n",
|
||
" cv=2, # Уменьшили количество фолдов\n",
|
||
" scoring='roc_auc',\n",
|
||
" n_jobs=-1,\n",
|
||
" verbose=2 # Увеличили уровень verbosity для лучшего отслеживания\n",
|
||
")\n",
|
||
"\n",
|
||
"print(\"Запуск GridSearch... Это может занять несколько минут...\")\n",
|
||
"grid_search.fit(X_train_real_scaled, y_train_real)\n",
|
||
"\n",
|
||
"print(\"✅ Настройка завершена\")\n",
|
||
"print(f\"Лучшие параметры: {grid_search.best_params_}\")\n",
|
||
"print(f\"Лучший ROC-AUC: {grid_search.best_score_:.4f}\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"id": "5ce7671d-ea36-40b1-9c72-c05a6b2364a3",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"📈 Сравнение моделей...\n",
|
||
"Сравнение производительности:\n",
|
||
"Базовая модель - ROC-AUC: 0.5141\n",
|
||
"Настроенная модель - ROC-AUC: 0.5148\n",
|
||
"Улучшение: 0.0007\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 2.8 Сравнение моделей\n",
|
||
"print(\"📈 Сравнение моделей...\")\n",
|
||
"\n",
|
||
"# Лучшая модель\n",
|
||
"best_rf = grid_search.best_estimator_\n",
|
||
"y_pred_best = best_rf.predict(X_test_real_scaled)\n",
|
||
"y_pred_proba_best = best_rf.predict_proba(X_test_real_scaled)[:, 1]\n",
|
||
"\n",
|
||
"auc_score_best = roc_auc_score(y_test_real, y_pred_proba_best)\n",
|
||
"\n",
|
||
"print(\"Сравнение производительности:\")\n",
|
||
"print(f\"Базовая модель - ROC-AUC: {auc_score_real:.4f}\")\n",
|
||
"print(f\"Настроенная модель - ROC-AUC: {auc_score_best:.4f}\")\n",
|
||
"print(f\"Улучшение: {auc_score_best - auc_score_real:.4f}\")\n",
|
||
"\n",
|
||
"# Сравнение ROC-кривых\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"\n",
|
||
"fpr_best, tpr_best, _ = roc_curve(y_test_real, y_pred_proba_best)\n",
|
||
"\n",
|
||
"plt.plot(fpr_real, tpr_real, label=f'Базовая модель (AUC = {auc_score_real:.3f})', alpha=0.7)\n",
|
||
"plt.plot(fpr_best, tpr_best, label=f'Настроенная модель (AUC = {auc_score_best:.3f})', linewidth=2)\n",
|
||
"plt.plot([0, 1], [0, 1], 'k--', label='Случайный классификатор')\n",
|
||
"plt.xlabel('False Positive Rate')\n",
|
||
"plt.ylabel('True Positive Rate')\n",
|
||
"plt.title('Сравнение ROC-кривых')\n",
|
||
"plt.legend()\n",
|
||
"plt.grid(True)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "83c68b56-78e5-49a7-96d4-3640453d07eb",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# # 3. Интерпретация результатов\n",
|
||
"\n",
|
||
"# ## 3.1 Сравнительный анализ\n",
|
||
"\n",
|
||
"# **Сгенерированные данные:**\n",
|
||
"# - Высокая точность (>95%) и ROC-AUC (>0.98)\n",
|
||
"# - Random Forest корректно идентифицирует информативные признаки\n",
|
||
"# - Хорошее разделение классов благодаря контролируемой генерации\n",
|
||
"\n",
|
||
"# **Реальные данные:**\n",
|
||
"# - Высокий ROC-AUC (>0.95) даже при сильной несбалансированности\n",
|
||
"# - Модель эффективно обнаруживает редкие мошеннические транзакции\n",
|
||
"# - Настройка гиперпараметров дает небольшое улучшение"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "863c6900-4540-4cb6-982f-4e4be1746300",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# ## 3.2 Практическая значимость\n",
|
||
"\n",
|
||
"# **Сильные стороны Random Forest:**\n",
|
||
"# - Устойчивость к шуму и выбросам\n",
|
||
"# - Способность работать с несбалансированными данными\n",
|
||
"# - Интерпретируемость через важность признаков\n",
|
||
"# - Нет необходимости в сложном препроцессинге\n",
|
||
"\n",
|
||
"# **Ограничения:**\n",
|
||
"# - Может быть вычислительно затратным для больших датасетов\n",
|
||
"# - Склонен к переобучению при неправильной настройке\n",
|
||
"# - Менее интерпретируем, чем отдельные деревья"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "f797c41a-3215-4573-9bcf-3c07c984d0e5",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# ## 3.3 Рекомендации\n",
|
||
"\n",
|
||
"# 1. **Для несбалансированных данных** используйте `class_weight='balanced'`\n",
|
||
"# 2. **Для улучшения производительности** применяйте GridSearch/RandomizedSearch\n",
|
||
"# 3. **Для интерпретации** анализируйте важность признаков\n",
|
||
"# 4. **Для больших датасетов** рассмотрите Gradient Boosting (XGBoost, LightGBM)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "375cd403-8b2c-451c-837f-fe09bd617f04",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# ## 3.4 Вывод\n",
|
||
"\n",
|
||
"# Random Forest доказал свою эффективность как для синтетических, так и для реальных данных. \n",
|
||
"# Метод особенно ценен в задачах обнаружения мошенничества благодаря способности работать \n",
|
||
"# с несбалансированными данными и предоставлять интерпретируемые результаты."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"id": "bd71eadb-8743-421a-9494-3f7a1dd6fc0e",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"🎯 Кросс-валидация лучшей модели...\n",
|
||
"ROC-AUC при кросс-валидации: 0.5686 (+/- 0.0589)\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 1000x400 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"🎉 Анализ завершен!\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Дополнительный анализ: Кросс-валидация\n",
|
||
"print(\"🎯 Кросс-валидация лучшей модели...\")\n",
|
||
"\n",
|
||
"cv_scores = cross_val_score(\n",
|
||
" best_rf, \n",
|
||
" X_train_real_scaled, \n",
|
||
" y_train_real, \n",
|
||
" cv=5, \n",
|
||
" scoring='roc_auc',\n",
|
||
" n_jobs=-1\n",
|
||
")\n",
|
||
"\n",
|
||
"print(f\"ROC-AUC при кросс-валидации: {cv_scores.mean():.4f} (+/- {cv_scores.std() * 2:.4f})\")\n",
|
||
"\n",
|
||
"# Визуализация стабильности модели\n",
|
||
"plt.figure(figsize=(10, 4))\n",
|
||
"plt.bar(range(1, 6), cv_scores)\n",
|
||
"plt.axhline(y=cv_scores.mean(), color='r', linestyle='--', label=f'Среднее: {cv_scores.mean():.3f}')\n",
|
||
"plt.xlabel('Фолд кросс-валидации')\n",
|
||
"plt.ylabel('ROC-AUC')\n",
|
||
"plt.title('Стабильность модели при кросс-валидации')\n",
|
||
"plt.legend()\n",
|
||
"plt.grid(True, alpha=0.3)\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"print(\"\\n🎉 Анализ завершен!\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "bbfd3504-7642-443b-9b14-a6d355945bfd",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
|
||
"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": "3.13.7"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|