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анализ)\n", + "### Загрузка данных и первичный анализ" + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "id": "e854345d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "============================================================\n", + "1. ЗАГРУЗКА ДАННЫХ\n", + "============================================================\n", + "Загружено 200 записей\n", + "Первые 5 строк:\n", + " X y\n", + "0 1.04 -205.79\n", + "1 4.56 -1,933.31\n", + "2 2.41 -1,075.59\n", + "3 3.10 -889.28\n", + "4 1.93 114.31\n", + "\n", + "Статистика данных:\n", + " X y\n", + "count 200.00 200.00\n", + "mean 5.00 -93.16\n", + "std 2.32 2,310.29\n", + "min 1.00 -3,105.49\n", + "25% 3.01 -1,600.33\n", + "50% 5.00 -910.85\n", + "75% 6.99 390.46\n", + "max 9.00 7,186.22\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "from sklearn.model_selection import train_test_split, cross_val_score, KFold\n", + "from sklearn.preprocessing import PolynomialFeatures, StandardScaler\n", + "from sklearn.linear_model import LinearRegression, Ridge, Lasso, RidgeCV, LassoCV\n", + "from sklearn.pipeline import Pipeline\n", + "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score\n", + "import scipy.stats as ss\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "# Добавьте эти строки после существующих импортов warnings\n", + "from sklearn.exceptions import ConvergenceWarning\n", + "warnings.filterwarnings(\"ignore\", category=ConvergenceWarning)\n", + "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", + "\n", + "# 1. ЗАГРУЗКА ДАННЫХ\n", + "print(\"=\"*60)\n", + "print(\"1. ЗАГРУЗКА ДАННЫХ\")\n", + "print(\"=\"*60)\n", + "\n", + "url = '..\\\\DataScience\\\\lab1-01.csv' \n", + "df = pd.read_csv(url, header=None, names=['X', 'y'])\n", + "print(f\"Загружено {len(df)} записей\")\n", + "print(f\"Первые 5 строк:\\n{df.head()}\")\n", + "print(f\"\\nСтатистика данных:\\n{df.describe()}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "id": "36e7d9cc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "=== ИНФОРМАЦИЯ О СТОЛБЦАХ ===\n", + "\n", + "RangeIndex: 200 entries, 0 to 199\n", + "Data columns (total 2 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 X 200 non-null float64\n", + " 1 y 200 non-null float64\n", + "dtypes: float64(2)\n", + "memory usage: 3.3 KB\n" + ] + } + ], + "source": [ + "print(\"\\n=== ИНФОРМАЦИЯ О СТОЛБЦАХ ===\")\n", + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "id": "36c5f5f4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Размерность данных: (200, 2)\n", + "Колонки: ['X', 'y']\n", + "Уникальных X: 199\n", + "Уникальных y: 200\n" + ] + } + ], + "source": [ + "print(f\"Размерность данных: {df.shape}\")\n", + "print(f\"Колонки: {df.columns.tolist()}\")\n", + "print(f\"Уникальных X: {df['X'].nunique()}\")\n", + "print(f\"Уникальных y: {df['y'].nunique()}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 171, + "id": "301bbee2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Duplicated data : 0\n" + ] + } + ], + "source": [ + "# Проверка на дубликаты строк\n", + "print(f'Duplicated data : {df.duplicated().sum()}')" + ] + }, + { + "cell_type": "markdown", + "id": "d6832582", + "metadata": {}, + "source": [ + "### Визуализация однофакторной регрессии" + ] + }, + { + "cell_type": "code", + "execution_count": 172, + "id": "5876e7fe", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "2. ВИЗУАЛИЗАЦИЯ ДАННЫХ\n", + "============================================================\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2. ВИЗУАЛИЗАЦИЯ ДАННЫХ\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"2. ВИЗУАЛИЗАЦИЯ ДАННЫХ\")\n", + "print(\"=\"*60)\n", + "\n", + "plt.figure(figsize=(15, 5))\n", + "\n", + "plt.subplot(1, 2, 1)\n", + "plt.scatter(df['X'], df['y'], alpha=0.6, color='blue')\n", + "plt.title('Диаграмма рассеяния исходных данных')\n", + "plt.xlabel('Признак X')\n", + "plt.ylabel('Целевая переменная y')\n", + "plt.grid(True, alpha=0.3)\n", + "\n", + "plt.subplot(1, 2, 2)\n", + "plt.hist(df['y'], bins=30, edgecolor='black', alpha=0.7)\n", + "plt.title('Распределение целевой переменной')\n", + "plt.xlabel('y')\n", + "plt.ylabel('Частота')\n", + "plt.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d0126dbd", + "metadata": {}, + "source": [ + "**Признаки НЕ линейны:**\n", + "* Криволинейная форма: Точки образуют U-образную кривую, а не прямую линию\n", + "\n", + "* Изменение направления: при x ≈ 4-5 функция меняет поведение:\n", + "\n", + " * x < 5: y в основном отрицательные и уменьшаются\n", + "\n", + " * x > 5: y становятся положительными и растут\n", + "\n", + "* Параболическая форма: похоже на U-образную кривую\n", + "* Это типичный случай для полиномиальной регрессии 2-3 степени" + ] + }, + { + "cell_type": "code", + "execution_count": 173, + "id": "9c7dcb08", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Коэффициент корреляции Пирсона: 0.6334\n" + ] + } + ], + "source": [ + "# Коэффициент корреляции показывает линейную связь\n", + "corr = df['X'].corr(df['y'])\n", + "print(f\"Коэффициент корреляции Пирсона: {corr:.4f}\")\n", + "\n", + "# Если |corr| < 0.7 - слабая линейная связь\n", + "# Если форма U-образная, corr может быть близок к 0, хотя зависимость сильная" + ] + }, + { + "cell_type": "markdown", + "id": "008ee283", + "metadata": {}, + "source": [ + "### Разделение данных" + ] + }, + { + "cell_type": "code", + "execution_count": 174, + "id": "299472cc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "3. РАЗБИЕНИЕ ДАННЫХ НА ОБУЧАЮЩУЮ И ТЕСТОВУЮ ВЫБОРКИ\n", + "============================================================\n", + "Размер обучающей выборки: 160\n", + "Размер тестовой выборки: 40\n", + "Соотношение: 80.0% / 20.0%\n" + ] + } + ], + "source": [ + "# 3. РАЗБИЕНИЕ ДАННЫХ НА ВЫБОРКИ\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"3. РАЗБИЕНИЕ ДАННЫХ НА ОБУЧАЮЩУЮ И ТЕСТОВУЮ ВЫБОРКИ\")\n", + "print(\"=\"*60)\n", + "\n", + "X = df[['X']].values\n", + "y = df['y'].values\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(\n", + " X, y, test_size=0.2, random_state=42\n", + ")\n", + "print(f\"Размер обучающей выборки: {len(X_train)}\")\n", + "print(f\"Размер тестовой выборки: {len(X_test)}\")\n", + "print(f\"Соотношение: {len(X_train)/len(X):.1%} / {len(X_test)/len(X):.1%}\")" + ] + }, + { + "cell_type": "markdown", + "id": "ce0c9dbe", + "metadata": {}, + "source": [ + "### Создание моделей LinearRegression" + ] + }, + { + "cell_type": "code", + "execution_count": 175, + "id": "904daca5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "4. СОЗДАНИЕ МОДЕЛЕЙ ДЛЯ СРАВНЕНИЯ\n", + "============================================================\n", + "\n", + "ВАЖНО: Для честного сравнения ВСЕ модели будут использовать:\n", + "1. PolynomialFeatures (где нужно)\n", + "2. StandardScaler - во ВСЕХ моделях для единообразия\n", + "3. Регрессор (LinearRegression, Ridge, Lasso)\n", + "\n", + "\n", + "СОЗДАЕМ 8 МОДЕЛЕЙ (4 группы):\n", + "\n", + "1. ЛИНЕЙНЫЕ МОДЕЛИ (для сравнения):\n", + " - Linear (no scaler) - базовая, без препроцессинга\n", + " - Linear (with scaler) - с масштабированием\n", + "\n", + "2. ПОЛИНОМИАЛЬНЫЕ МОДЕЛИ (без регуляризации):\n", + " - Poly deg=2, 3, 4 - с масштабированием: # Квадратичная, \n", + " # Кубическая (часто достаточно), \n", + " # 4-я степень (максимум для разумной сложности) \n", + "\n", + "3. РЕГУЛЯРИЗОВАННЫЕ МОДЕЛИ:\n", + " - Poly deg=4 + Ridge(α=1) # Регуляризация для 4-й степени\n", + " - Poly deg=4 + Lasso(α=0.1) # Отбор признаков для 4-й степени \n", + "\n", + "4. МОДЕЛЬ С АВТОПОДБОРОМ:\n", + " - Poly deg=4 + RidgeCV # Автоматический подбор alpha для регуляризации\n", + " - Poly deg=4 + LassoCV # Автоматический подбор alpha и l1_ratio ← НОВАЯ\n", + "\n" + ] + } + ], + "source": [ + "print(\"\\n\" + \"=\"*60)\n", + "print(\"4. СОЗДАНИЕ МОДЕЛЕЙ ДЛЯ СРАВНЕНИЯ\")\n", + "print(\"=\"*60)\n", + "\n", + "print(\"\"\"\n", + "ВАЖНО: Для честного сравнения ВСЕ модели будут использовать:\n", + "1. PolynomialFeatures (где нужно)\n", + "2. StandardScaler - во ВСЕХ моделях для единообразия\n", + "3. Регрессор (LinearRegression, Ridge, Lasso)\n", + "\"\"\")\n", + "\n", + "print(\"\"\"\n", + "СОЗДАЕМ 8 МОДЕЛЕЙ (4 группы):\n", + "\n", + "1. ЛИНЕЙНЫЕ МОДЕЛИ (для сравнения):\n", + " - Linear (no scaler) - базовая, без препроцессинга\n", + " - Linear (with scaler) - с масштабированием\n", + "\n", + "2. ПОЛИНОМИАЛЬНЫЕ МОДЕЛИ (без регуляризации):\n", + " - Poly deg=2, 3, 4 - с масштабированием: # Квадратичная, \n", + " # Кубическая (часто достаточно), \n", + " # 4-я степень (максимум для разумной сложности) \n", + "\n", + "3. РЕГУЛЯРИЗОВАННЫЕ МОДЕЛИ:\n", + " - Poly deg=4 + Ridge(α=1) # Регуляризация для 4-й степени\n", + " - Poly deg=4 + Lasso(α=0.1) # Отбор признаков для 4-й степени \n", + "\n", + "4. МОДЕЛЬ С АВТОПОДБОРОМ:\n", + " - Poly deg=4 + RidgeCV # Автоматический подбор alpha для регуляризации\n", + " - Poly deg=4 + LassoCV # Автоматический подбор alpha и l1_ratio ← НОВАЯ\n", + "\"\"\")" + ] + }, + { + "cell_type": "markdown", + "id": "5452674d", + "metadata": {}, + "source": [ + "### bias (смещение): include_bias=False vs include_bias=True \n", + "\n", + "**Разница между True и False:**\n", + "\n", + "* При include_bias=True:\n", + " Преобразование X = [x1, x2] → [1, x1, x2, x1², x1*x2, x2²]\n", + "\n", + "* При include_bias=False:\n", + " Преобразование X = [x1, x2] → [x1, x2, x1², x1*x2, x2²] \n", + "\n", + "**Выбор в пользу False в нашем случае:** \n", + "* Линейные модели уже имеют intercept (LinearRegression(fit_intercept=True) по умолчанию)\n", + "\n", + "* Дублирование intercept может привести к:\n", + "\n", + " * Избыточности в данных\n", + "\n", + " * Проблемам с интерпретацией\n", + "\n", + " * Потенциальной мультиколлинеарности\n", + "\n", + "Пример проблемы: \n", + "\n", + "Если PolynomialFeatures(include_bias=True) создает столбец из 1 \n", + "И LinearRegression тоже добавляет intercept \n", + "То у нас будет ДВА intercept! \n", + "Это может запутать модель \n" + ] + }, + { + "cell_type": "code", + "execution_count": 176, + "id": "e30d91e3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Всего создано моделей: 9\n" + ] + } + ], + "source": [ + "models = {\n", + " # ГРУППА 1: Линейные модели (для сравнения)\n", + " 'Linear (no scaler)': LinearRegression(),\n", + " 'Linear (with scaler)': Pipeline([\n", + " ('scaler', StandardScaler()),\n", + " ('reg', LinearRegression())\n", + " ]),\n", + " \n", + " # ГРУППА 2: Полиномиальные модели (без регуляризации)\n", + " 'Poly deg=2': Pipeline([\n", + " ('poly', PolynomialFeatures(degree=2, include_bias=False)),\n", + " ('scaler', StandardScaler()),\n", + " ('reg', LinearRegression())\n", + " ]),\n", + " \n", + " 'Poly deg=3': Pipeline([\n", + " ('poly', PolynomialFeatures(degree=3, include_bias=False)),\n", + " ('scaler', StandardScaler()),\n", + " ('reg', LinearRegression())\n", + " ]),\n", + " \n", + " 'Poly deg=4': Pipeline([\n", + " ('poly', PolynomialFeatures(degree=4, include_bias=False)),\n", + " ('scaler', StandardScaler()),\n", + " ('reg', LinearRegression())\n", + " ]),\n", + " \n", + " # ГРУППА 3: Регуляризованные модели\n", + " 'Poly deg=4 + Ridge(α=1)': Pipeline([\n", + " ('poly', PolynomialFeatures(degree=4, include_bias=False)),\n", + " ('scaler', StandardScaler()),\n", + " ('reg', Ridge(alpha=1.0))\n", + " ]),\n", + " \n", + " 'Poly deg=3 + Lasso(α=0.1)': Pipeline([\n", + " ('poly', PolynomialFeatures(degree=3, include_bias=False)),\n", + " ('scaler', StandardScaler()),\n", + " ('reg', Lasso(alpha=0.1, max_iter=10000))\n", + " ]),\n", + " \n", + " # ГРУППА 4: Модель с автоподбором\n", + " 'Poly deg=4 + RidgeCV': Pipeline([\n", + " ('poly', PolynomialFeatures(degree=4, include_bias=False)),\n", + " ('scaler', StandardScaler()),\n", + " ('reg', RidgeCV(alphas=[0.1, 1.0, 10.0],\n", + " cv=5, # 5-кратная кросс-валидация внутри RidgeCV\n", + " scoring='r2')) # Оптимизировать по R²\n", + " ]),\n", + "\n", + " # НОВАЯ МОДЕЛЬ: LassoCV (добавляем здесь!)\n", + " 'Poly deg=3 + LassoCV': Pipeline([\n", + " ('poly', PolynomialFeatures(degree=3, include_bias=False)),\n", + " ('scaler', StandardScaler()),\n", + " ('reg', LassoCV(alphas=[0.001, 0.01, 0.1, 1.0, 10.0], \n", + " cv=5, \n", + " max_iter=10000))\n", + "]),\n", + "}\n", + "\n", + "print(f\"\\nВсего создано моделей: {len(models)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "e484f54c", + "metadata": {}, + "source": [ + "### Кросс-валидация (оценка качества моделей)" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "id": "1c6574e3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "5. КРОСС-ВАЛИДАЦИЯ\n", + "============================================================\n", + "\n", + "ВАЖНО: Сравнение моделей с разным препроцессингом показывает:\n", + "1. Как масштабирование влияет на линейную модель\n", + "2. Эффективность полиномиальных преобразований\n", + "3. Полезность регуляризации\n", + "\n", + "НО: интерпретировать результаты нужно с учётом этого!\n", + "\n", + "\n", + "Результаты кросс-валидации:\n", + "============================================================\n", + " Model R2_mean R2_std RMSE_mean RMSE_std\n", + " Poly deg=3 + LassoCV 0.95 0.01 513.70 42.21\n", + "Poly deg=3 + Lasso(α=0.1) 0.95 0.01 513.70 42.21\n", + " Poly deg=3 0.95 0.01 513.73 41.75\n", + " Poly deg=4 0.95 0.01 516.84 36.92\n", + " Poly deg=4 + RidgeCV 0.95 0.02 520.61 47.99\n", + " Poly deg=4 + Ridge(α=1) 0.94 0.02 540.15 50.23\n", + " Poly deg=2 0.89 0.03 743.44 103.31\n", + " Linear (no scaler) 0.41 0.07 1,761.03 186.92\n", + " Linear (with scaler) 0.41 0.07 1,761.03 186.92\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"\\n\" + \"=\"*60)\n", + "print(\"5. КРОСС-ВАЛИДАЦИЯ\")\n", + "print(\"=\"*60)\n", + "print(\"\"\"\n", + "ВАЖНО: Сравнение моделей с разным препроцессингом показывает:\n", + "1. Как масштабирование влияет на линейную модель\n", + "2. Эффективность полиномиальных преобразований\n", + "3. Полезность регуляризации\n", + "\n", + "НО: интерпретировать результаты нужно с учётом этого!\n", + "\"\"\")\n", + "\n", + "cv = KFold(n_splits=5, shuffle=True, random_state=42)\n", + "results = []\n", + "\n", + "for name, model in models.items():\n", + " r2_scores = cross_val_score(model, X_train, y_train, \n", + " cv=cv, scoring='r2')\n", + " rmse_scores = np.sqrt(-cross_val_score(model, X_train, y_train,\n", + " cv=cv, scoring='neg_mean_squared_error'))\n", + " \n", + " results.append({\n", + " 'Model': name,\n", + " 'R2_mean': r2_scores.mean(),\n", + " 'R2_std': r2_scores.std(),\n", + " 'RMSE_mean': rmse_scores.mean(),\n", + " 'RMSE_std': rmse_scores.std()\n", + " })\n", + "\n", + "results_df = pd.DataFrame(results).sort_values('R2_mean', ascending=False)\n", + "\n", + "print(\"\\nРезультаты кросс-валидации:\")\n", + "print(\"=\"*60)\n", + "print(results_df.to_string(index=False))\n", + "\n", + "# Визуализация с цветовым кодированием по группам\n", + "plt.figure(figsize=(12, 7))\n", + "\n", + "# Определяем цвета по группам\n", + "colors = []\n", + "for model_name in results_df['Model']:\n", + " if 'Linear' in model_name:\n", + " colors.append('#48D1CC')\n", + " elif 'Poly deg=' in model_name and '+' not in model_name:\n", + " colors.append(\"#137590\")\n", + " elif 'Ridge' in model_name and 'CV' not in model_name:\n", + " colors.append(\"#994253\")\n", + " elif 'RidgeCV' in model_name:\n", + " colors.append(\"#9D1531\") # Более темный оттенок для CV\n", + " elif 'Lasso' in model_name and 'CV' not in model_name:\n", + " colors.append(\"#2C4BA6\")\n", + " elif 'LassoCV' in model_name:\n", + " colors.append('purple') # Более темный оттенок для CV\n", + " else:\n", + " colors.append('gray')\n", + "\n", + "bars = plt.barh(results_df['Model'], results_df['R2_mean'], \n", + " xerr=results_df['R2_std'], \n", + " color=colors, alpha=0.7, edgecolor='black')\n", + "\n", + "plt.xlabel('R² Score')\n", + "plt.title('Сравнение моделей (цвета = группы моделей)', fontsize=14)\n", + "plt.grid(True, alpha=0.3, axis='x')\n", + "\n", + "# Легенда\n", + "from matplotlib.patches import Patch\n", + "legend_elements = [\n", + " Patch(facecolor='#48D1CC', alpha=0.7, label='Линейные модели'),\n", + " Patch(facecolor=\"#13908C\", alpha=0.7, label='Полиномиальные (без регуляризации)'),\n", + " Patch(facecolor=\"#994253\", alpha=0.7, label='Ridge регрессия'),\n", + " Patch(facecolor=\"#9D1531\", alpha=0.7, label='RidgeCV (автоподбор)'),\n", + " Patch(facecolor=\"#2C4BA6\", alpha=0.7, label='Lasso регрессия'),\n", + " Patch(facecolor='purple', alpha=0.7, label='LassoCV (автоподбор)'),\n", + "]\n", + "plt.legend(handles=legend_elements, loc='lower right', fontsize=10)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "947af01c", + "metadata": {}, + "source": [ + "### Проверка коэффициентов LassoCV" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "id": "8455ff93", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Коэффициенты LassoCV:\n", + " X^1: 2186.833223\n", + " X^2: -11797.492754\n", + " X^3: 11594.306358\n", + "\n", + "Lasso обнулил 0 из 3 коэффициентов\n" + ] + } + ], + "source": [ + "# После обучения LassoCV, посмотреть коэффициенты\n", + "lasso_cv_model = models['Poly deg=3 + LassoCV']\n", + "lasso_cv_model.fit(X_train, y_train)\n", + "\n", + "# Получить коэффициенты\n", + "if hasattr(lasso_cv_model.named_steps['reg'], 'coef_'):\n", + " coefficients = lasso_cv_model.named_steps['reg'].coef_\n", + " print(\"Коэффициенты LassoCV:\")\n", + " for i, coef in enumerate(coefficients):\n", + " print(f\" X^{i+1}: {coef:.6f}\")\n", + " \n", + " # Проверить, какие коэффициенты обнулились\n", + " zero_coeffs = sum(abs(coef) < 1e-10 for coef in coefficients)\n", + " print(f\"\\nLasso обнулил {zero_coeffs} из {len(coefficients)} коэффициентов\")" + ] + }, + { + "cell_type": "markdown", + "id": "f8e620df", + "metadata": {}, + "source": [ + "ФИЗИЧЕСКАЯ ИНТЕРПРЕТАЦИЯ:\n", + "Данные имеют сложную нелинейную структуру:\n", + "\n", + "* X^1 (линейный член): основная тенденция\n", + "\n", + "* X^2 (квадратичный член): \"кривизна\", U-образная форма\n", + "\n", + "* X^3 (кубический член): дополнительные \"изгибы\", асимметрия\n", + "\n", + "**Lasso обнулил 0 из 3 коэффициентов** \n", + "Это означает, что все полиномиальные признаки важны для модели: \n", + "* X (очень важен!), \n", + "* X² (самый важный!), \n", + "* X³ (очень важен!) \n", + "**Все три степени вносят реальный вклад в предсказание.** \n", + "\n", + "ПОДТВЕРЖДЕНИЕ ВЫБОРА СТЕПЕНИ 3 (ручной подбор): \n", + "* Полином 3-й степени - это оптимальная сложность\n", + "\n", + "* Усложнение 4-й степени (добавление X⁴) Lasso обнуляет (защита от переобучения)!" + ] + }, + { + "cell_type": "markdown", + "id": "83aa429e", + "metadata": {}, + "source": [ + "### R2_mean, R2_std, RMSE_mean, RMSE_std\n", + "\n", + "* **R2_mean:** среднее значение коэффициента детерминации (R²) по всем фолдам кросс-валидации. \n", + "Чем ближе к 1, тем лучше.\n", + "\n", + "* **R2_std:** стандартное отклонение R² по фолдам. Показывает, насколько оценка устойчива. \n", + "Чем меньше, тем лучше.\n", + "\n", + "* **RMSE_mean:** среднее значение среднеквадратичной ошибки (Root Mean Square Error) по фолдам. \n", + "Чем меньше, тем лучше.\n", + "\n", + "* **RMSE_std:** стандартное отклонение RMSE по фолдам. Показывает устойчивость оценки ошибки.\n", + "\n", + "**Кросс-валидация** действительно оценивает точность модели, но не только. Она также дает оценку устойчивости (через std). \n", + "\n", + "**Удивительный факт:**\n", + "LassoCV и Lasso(α=0.1) дали идентичные результаты!\n", + "Это значит, что LassoCV выбрал alpha=0.1 как оптимальное." + ] + }, + { + "cell_type": "markdown", + "id": "53d38097", + "metadata": {}, + "source": [ + "### Анализ результатов Кросс-валидации" + ] + }, + { + "cell_type": "code", + "execution_count": 179, + "id": "6888ce1f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "6. АНАЛИЗ РЕЗУЛЬТАТОВ КРОСС-ВАЛИДАЦИИ\n", + "============================================================\n", + "\n", + "КЛЮЧЕВЫЕ НАБЛЮДЕНИЯ:\n", + "----------------------------------------\n", + "1. Эффект масштабирования для линейной модели:\n", + " - Без масштабирования: R² = 0.4051 ± 0.0674\n", + " - С масштабированием: R² = 0.4051 ± 0.0674\n", + " → Масштабирование не влияет на линейную модель (ожидаемо для 1 признака)\n", + "\n", + "2. Эффект полиномиальных признаков:\n", + " - Лучшая полиномиальная модель: Poly deg=3 (R² = 0.9473)\n", + " - R² улучшение относительно линейной: +0.5422\n", + "\n", + "3. Эффект регуляризации:\n", + " - Лучшая без регуляризации (Poly deg=3): R² = 0.9473\n", + " - С Ridge регуляризацией (deg=4): R² = 0.9420 ± 0.0164\n", + " - С Lasso регуляризацией: (deg=3): R² = 0.9474 ± 0.0149\n", + " → Регуляризация улучшила качество на +0.000013\n", + "\n", + "3. Эффект автоподбора:\n", + " - Лучшая без регуляризации (Poly deg=3): R² = 0.9473\n", + " - С Ridge автоподбором (deg=4): R² = 0.9458 ± 0.0160\n", + " - С Lasso автоподбором: (deg=3): R² = 0.9474 ± 0.0149\n", + " → Автоподбор улучшил качество на +0.000013\n" + ] + } + ], + "source": [ + "# ======================= 6. АНАЛИЗ РЕЗУЛЬТАТОВ =======================\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"6. АНАЛИЗ РЕЗУЛЬТАТОВ КРОСС-ВАЛИДАЦИИ\")\n", + "print(\"=\"*60)\n", + "\n", + "print(\"\\nКЛЮЧЕВЫЕ НАБЛЮДЕНИЯ:\")\n", + "print(\"-\" * 40)\n", + "\n", + "# Анализ эффекта масштабирования для линейной модели\n", + "linear_no_scaler = results_df[results_df['Model'] == 'Linear (no scaler)'].iloc[0]\n", + "linear_with_scaler = results_df[results_df['Model'] == 'Linear (with scaler)'].iloc[0]\n", + "\n", + "print(f\"1. Эффект масштабирования для линейной модели:\")\n", + "print(f\" - Без масштабирования: R² = {linear_no_scaler['R2_mean']:.4f} ± {linear_no_scaler['R2_std']:.4f}\")\n", + "print(f\" - С масштабированием: R² = {linear_with_scaler['R2_mean']:.4f} ± {linear_with_scaler['R2_std']:.4f}\")\n", + "\n", + "if abs(linear_no_scaler['R2_mean'] - linear_with_scaler['R2_mean']) < 0.01:\n", + " print(\" → Масштабирование не влияет на линейную модель (ожидаемо для 1 признака)\")\n", + "else:\n", + " print(f\" → Масштабирование изменяет R² на {abs(linear_no_scaler['R2_mean'] - linear_with_scaler['R2_mean']):.4f}\")\n", + "\n", + "# Анализ эффекта полиномиальных признаков\n", + "print(f\"\\n2. Эффект полиномиальных признаков:\")\n", + "best_poly = results_df[results_df['Model'].str.contains('Poly deg=') & \n", + " ~results_df['Model'].str.contains('Ridge|Lasso')].iloc[0]\n", + "print(f\" - Лучшая полиномиальная модель: {best_poly['Model']} (R² = {best_poly['R2_mean']:.4f})\")\n", + "print(f\" - R² улучшение относительно линейной: +{best_poly['R2_mean'] - linear_no_scaler['R2_mean']:.4f}\")\n", + "\n", + "# Анализ эффекта регуляризации\n", + "print(f\"\\n3. Эффект регуляризации:\")\n", + "poly_deg4 = results_df[results_df['Model'] == 'Poly deg=4'].iloc[0]\n", + "poly_deg4_ridge = results_df[results_df['Model'] == 'Poly deg=4 + Ridge(α=1)'].iloc[0]\n", + "poly_deg3_lasso = results_df[results_df['Model'] == 'Poly deg=3 + Lasso(α=0.1)'].iloc[0]\n", + "\n", + "print(f\" - Лучшая без регуляризации (Poly deg=3): R² = {best_poly['R2_mean']:.4f}\")\n", + "print(f\" - С Ridge регуляризацией (deg=4): R² = {poly_deg4_ridge['R2_mean']:.4f} ± {poly_deg4_ridge['R2_std']:.4f}\")\n", + "print(f\" - С Lasso регуляризацией: (deg=3): R² = {poly_deg3_lasso['R2_mean']:.4f} ± {poly_deg3_lasso['R2_std']:.4f}\")\n", + "\n", + "if (poly_deg4_ridge['R2_mean'] > best_poly['R2_mean']) | (poly_deg3_lasso['R2_mean'] > best_poly['R2_mean']):\n", + " param = max(poly_deg4_ridge['R2_mean'] , poly_deg3_lasso['R2_mean'])\n", + " print(f\" → Регуляризация улучшила качество на +{(param - best_poly['R2_mean']):.6f}\")\n", + "elif (poly_deg4_ridge['R2_mean'] < best_poly['R2_mean']) | (poly_deg3_lasso['R2_mean'] > best_poly['R2_mean']):\n", + " param = max(poly_deg4_ridge['R2_mean'] , poly_deg3_lasso['R2_mean'])\n", + " print(f\" → Регуляризация ухудшила качество на -{(best_poly['R2_mean'] - param):.6f}\")\n", + "else:\n", + " print(f\" → Регуляризация не повлияла на качество\")\n", + "\n", + " # Анализ эффекта автоподбора\n", + "print(f\"\\n3. Эффект автоподбора:\")\n", + "poly_deg4_ridgecv = results_df[results_df['Model'] == 'Poly deg=4 + RidgeCV'].iloc[0]\n", + "poly_deg3_lassocv = results_df[results_df['Model'] == 'Poly deg=3 + LassoCV'].iloc[0]\n", + "\n", + "print(f\" - Лучшая без регуляризации (Poly deg=3): R² = {best_poly['R2_mean']:.4f}\")\n", + "print(f\" - С Ridge автоподбором (deg=4): R² = {poly_deg4_ridgecv['R2_mean']:.4f} ± {poly_deg4_ridgecv['R2_std']:.4f}\")\n", + "print(f\" - С Lasso автоподбором: (deg=3): R² = {poly_deg3_lassocv['R2_mean']:.4f} ± {poly_deg3_lassocv['R2_std']:.4f}\")\n", + "\n", + "if (poly_deg4_ridgecv ['R2_mean'] > best_poly['R2_mean']) | (poly_deg3_lassocv['R2_mean'] > best_poly['R2_mean']):\n", + " param = max(poly_deg4_ridgecv ['R2_mean'] , poly_deg3_lassocv['R2_mean'])\n", + " print(f\" → Автоподбор улучшил качество на +{(param - best_poly['R2_mean']):.6f}\")\n", + "elif (poly_deg4_ridgecv ['R2_mean'] < best_poly['R2_mean']) | (poly_deg3_lassocv['R2_mean'] > best_poly['R2_mean']):\n", + " param = max(poly_deg4_ridgecv ['R2_mean'] , poly_deg3_lassocv['R2_mean'])\n", + " print(f\" → Автоподбор ухудшил качество на -{(best_poly['R2_mean'] - param):.6f}\")\n", + "else:\n", + " print(f\" → Автоподбор не повлиял на качество\") \n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "34b4b387", + "metadata": {}, + "source": [ + "### Лучшие модели" + ] + }, + { + "cell_type": "code", + "execution_count": 180, + "id": "fe454558", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ВЫБОР ЛУЧШЕЙ МОДЕЛИ БЕЗ РЕГУЛЯРИЗАЦИИ:\n", + " Лучшая полиминальная модель: Poly deg=3\n", + " R²: 0.947337\n", + "\n", + "ВЫБОР ЛУЧШЕЙ МОДЕЛИ С РЕГУЛЯРИЗАЦИЕЙ:\n", + " Лучшая регуляризованная модель: Poly deg=3 + LassoCV\n", + " R²: 0.947350\n" + ] + } + ], + "source": [ + "print(\"\\nВЫБОР ЛУЧШЕЙ МОДЕЛИ БЕЗ РЕГУЛЯРИЗАЦИИ:\")\n", + "print(f\" Лучшая полиминальная модель: {best_poly['Model']}\")\n", + "print(f\" R²: {best_poly['R2_mean']:.6f}\")\n", + "\n", + "print(\"\\nВЫБОР ЛУЧШЕЙ МОДЕЛИ С РЕГУЛЯРИЗАЦИЕЙ:\")\n", + "reg_models = results_df[results_df['Model'].str.contains('Ridge|Lasso')]\n", + "if len(reg_models) > 0:\n", + " best_reg = reg_models.iloc[0]\n", + " print(f\" Лучшая регуляризованная модель: {best_reg['Model']}\")\n", + " print(f\" R²: {best_reg['R2_mean']:.6f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "4a6075df", + "metadata": {}, + "source": [ + "\n", + "\n", + "** Poly deg=3 + LassoCV:**\n", + "\n", + "* Технически лучше (хоть и на микроскопическую величину)\n", + "\n", + "* Более надежна на новых данных (регуляризация защищает)\n", + "\n", + "* Показывает продвинутый подход в работе\n", + "\n", + "* Автоматический подбор параметров - меньше ручной настройки\n", + "\n", + "**Простая модель:**\n", + "* Легче интерпретировать - можно понять, как она работает\n", + "\n", + "* Меньше шансов переобучиться на новых данных\n", + "\n", + "* Быстрее работает на предсказаниях\n", + "\n", + "* Меньше параметров для настройки\n", + "\n", + "**Вариант 1: Poly deg=3 + LassoCV (ВЫБОР МОДЕЛЕЙ)**\n", + "**Плюсы:**\n", + "\n", + "* Автоматический подбор параметров\n", + "\n", + "* Защита от переобучения\n", + "\n", + "* Лучший R² (хоть и на 0.000013)\n", + "**Минусы:**\n", + "\n", + "* Сложнее для объяснения\n", + "\n", + "**Вариант 2: Poly deg=3 (простая)**\n", + "**Плюсы:**\n", + "\n", + "* Простота и интерпретируемость\n", + "\n", + "* Легче объяснить заказчику\n", + "\n", + "* Чуть более стабильная (меньше RMSE_std)\n", + "**Минусы:**\n", + "\n", + "* Чуть ниже точность \n", + "\n", + "\n", + "НА ПРАКТИКЕ: Если две модели одинаково точны, выбирай простую.\n", + "\n", + "НО LASSO И ЕГО \"ОТБОР ПРИЗНАКОВ\" - ЭТО ГЕНИАЛЬНО: \n", + " \n", + "* Автоматически находит оптимальную степень полинома\n", + "\n", + "* Упрощает модель без потери точности\n", + "\n", + "* Предотвращает переобучение на шумах \n" + ] + }, + { + "cell_type": "markdown", + "id": "c37d81d5", + "metadata": {}, + "source": [ + "### Обучение моделей" + ] + }, + { + "cell_type": "code", + "execution_count": 181, + "id": "4ec0ecf9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "8. ЭМПИРИЧЕСКИЕ ФОРМУЛЫ С ОБРАТНЫМ ПРЕОБРАЗОВАНИЕМ\n", + "============================================================\n", + "\n", + "ВАЖНО: Исходные коэффициенты относятся к масштабированным признакам.\n", + "Мы выполним обратное преобразование, чтобы получить коэффициенты\n", + "для исходных (немасштабированных) данных.\n", + "\n", + "Выбраны для детального сравнения:\n", + " - Poly deg=3 + LassoCV\n", + " - Poly deg=3\n", + "\n", + "Обучение модели: Poly deg=3 + LassoCV\n", + "✅ Обучение завершено\n", + "\n", + "Обучение модели: Poly deg=3\n", + "✅ Обучение завершено\n" + ] + } + ], + "source": [ + "# ======================= 8. ВЫВОД УРАВНЕНИЙ С ОБРАТНЫМ ПРЕОБРАЗОВАНИЕМ =======================\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"8. ЭМПИРИЧЕСКИЕ ФОРМУЛЫ С ОБРАТНЫМ ПРЕОБРАЗОВАНИЕМ\")\n", + "print(\"=\"*60)\n", + "\n", + "print(\"\"\"\n", + "ВАЖНО: Исходные коэффициенты относятся к масштабированным признакам.\n", + "Мы выполним обратное преобразование, чтобы получить коэффициенты\n", + "для исходных (немасштабированных) данных.\n", + "\"\"\")\n", + "\n", + "# Выбираем две лучшие модели из словаря models\n", + "top_models = {\n", + " 'Poly deg=3 + LassoCV': models['Poly deg=3 + LassoCV'],\n", + " 'Poly deg=3': models['Poly deg=3']\n", + "}\n", + "\n", + "print(\"Выбраны для детального сравнения:\")\n", + "for name in top_models.keys():\n", + " print(f\" - {name}\")\n", + "\n", + "# Обучаем модели \n", + "trained_models = {}\n", + "for name, model in top_models.items():\n", + " print(f\"\\nОбучение модели: {name}\")\n", + " model.fit(X_train, y_train)\n", + " trained_models[name] = model\n", + " print(\"✅ Обучение завершено\") " + ] + }, + { + "cell_type": "code", + "execution_count": 182, + "id": "bc193238", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "ПРОВЕРКА КАЧЕСТВА ДВУХ ЛУЧШИХ МОДЕЛЕЙ НА ТЕСТОВЫХ ДАННЫХ\n", + "============================================================\n", + "\n", + "Модель: Poly deg=3 + LassoCV\n", + "----------------------------------------\n", + "R² (коэффициент детерминации): 0.941273\n", + "RMSE (среднеквадратичная ошибка): 548.88\n", + "MAE (средняя абсолютная ошибка): 463.26\n", + "\n", + "Модель: Poly deg=3\n", + "----------------------------------------\n", + "R² (коэффициент детерминации): 0.941602\n", + "RMSE (среднеквадратичная ошибка): 547.34\n", + "MAE (средняя абсолютная ошибка): 462.50\n" + ] + } + ], + "source": [ + "# ======================= ПРОВЕРКА КАЧЕСТВА ДВУХ МОДЕЛЕЙ НА ТЕСТОВЫХ ДАННЫХ =======================\n", + "\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"ПРОВЕРКА КАЧЕСТВА ДВУХ ЛУЧШИХ МОДЕЛЕЙ НА ТЕСТОВЫХ ДАННЫХ\")\n", + "print(\"=\"*60)\n", + "\n", + "# Список для хранения результатов\n", + "results = []\n", + "\n", + "# Проверяем каждую модель на тестовых данных\n", + "for name, model in trained_models.items():\n", + " print(f\"\\nМодель: {name}\")\n", + " print(\"-\" * 40)\n", + " \n", + " # Делаем предсказания\n", + " y_pred = model.predict(X_test)\n", + " \n", + " # Вычисляем метрики\n", + " r2 = r2_score(y_test, y_pred)\n", + " rmse = np.sqrt(mean_squared_error(y_test, y_pred))\n", + " mae = mean_absolute_error(y_test, y_pred)\n", + " \n", + " print(f\"R² (коэффициент детерминации): {r2:.6f}\")\n", + " print(f\"RMSE (среднеквадратичная ошибка): {rmse:.2f}\")\n", + " print(f\"MAE (средняя абсолютная ошибка): {mae:.2f}\")\n", + " \n", + " # Сохраняем результаты\n", + " results.append({\n", + " 'Model': name,\n", + " 'R²': r2,\n", + " 'RMSE': rmse,\n", + " 'MAE': mae\n", + " })" + ] + }, + { + "cell_type": "code", + "execution_count": 183, + "id": "73a99307", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "СРАВНЕНИЕ РЕЗУЛЬТАТОВ ДВУХ МОДЕЛЕЙ\n", + "============================================================\n", + "\n", + "Результаты на тестовых данных:\n", + "------------------------------------------------------------\n", + " Model R² RMSE MAE\n", + " Poly deg=3 0.94 547.34 462.50\n", + "Poly deg=3 + LassoCV 0.94 548.88 463.26\n", + "\n", + "🏆 ЛУЧШАЯ МОДЕЛЬ: Poly deg=3\n", + " R²: 0.941602\n", + " Преимущество: +0.000329\n", + " ⚠️ Модели практически эквивалентны по качеству\n" + ] + } + ], + "source": [ + "# ======================= СРАВНЕНИЕ МОДЕЛЕЙ =======================\n", + "\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"СРАВНЕНИЕ РЕЗУЛЬТАТОВ ДВУХ МОДЕЛЕЙ\")\n", + "print(\"=\"*60)\n", + "\n", + "# Создаем DataFrame с результатами\n", + "results_df_comparison = pd.DataFrame(results).sort_values('R²', ascending=False)\n", + "\n", + "print(\"\\nРезультаты на тестовых данных:\")\n", + "print(\"-\" * 60)\n", + "print(results_df_comparison.to_string(index=False))\n", + "\n", + "# Определяем лучшую модель\n", + "best_model_name = results_df_comparison.iloc[0]['Model']\n", + "best_model = trained_models[best_model_name]\n", + "best_r2 = results_df_comparison.iloc[0]['R²']\n", + "best_rmse = results_df_comparison.iloc[0]['RMSE']\n", + "best_mae = results_df_comparison.iloc[0]['MAE']\n", + "\n", + "print(f\"\\n🏆 ЛУЧШАЯ МОДЕЛЬ: {best_model_name}\")\n", + "print(f\" R²: {best_r2:.6f}\")\n", + "\n", + "# Сравнение с другой моделью\n", + "if len(results_df_comparison) > 1:\n", + " second_model_r2 = results_df_comparison.iloc[1]['R²']\n", + " difference = best_r2 - second_model_r2\n", + " print(f\" Преимущество: +{difference:.6f}\")\n", + " \n", + " if abs(difference) < 0.001:\n", + " print(\" ⚠️ Модели практически эквивалентны по качеству\")" + ] + }, + { + "cell_type": "code", + "execution_count": 184, + "id": "13d705b6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "СРАВНЕНИЕ С ОБУЧАЮЩЕЙ ВЫБОРКОЙ:\n", + "----------------------------------------\n", + "R² на обучающей выборке: 0.954218\n", + "R² на тестовой выборке: 0.941602\n", + "Разница: 0.012616\n", + " ✅ Модель хорошо обобщает (разница < 0.05)\n" + ] + } + ], + "source": [ + "# Сравнение с метриками на обучающей выборке\n", + "y_train_pred = best_model.predict(X_train)\n", + "train_r2 = r2_score(y_train, y_train_pred)\n", + "\n", + "print(\"\\nСРАВНЕНИЕ С ОБУЧАЮЩЕЙ ВЫБОРКОЙ:\")\n", + "print(\"----------------------------------------\")\n", + "print(f\"R² на обучающей выборке: {train_r2:.6f}\")\n", + "print(f\"R² на тестовой выборке: {best_r2:.6f}\")\n", + "print(f\"Разница: {abs(train_r2 - best_r2):.6f}\")\n", + "\n", + "# Оценка переобучения\n", + "if abs(train_r2 - best_r2) > 0.1:\n", + " print(\" ⚠️ ВНИМАНИЕ: Возможное переобучение (разница > 0.1)\")\n", + "elif abs(train_r2 - best_r2) > 0.05:\n", + " print(\" ⚠️ Внимание: Умеренная разница (0.05-0.1)\")\n", + "else:\n", + " print(\" ✅ Модель хорошо обобщает (разница < 0.05)\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "id": "8d25083b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "============================================================\n", + "ИСХОДНЫЕ ДАННЫЕ ДЛЯ РАБОТЫ\n", + "============================================================\n", + "Размер обучающей выборки: 160 записей\n", + "Размер тестовой выборки: 40 записей\n", + "\n", + "Первые 10 строк тестовых данных с предсказаниями:\n", + "--------------------------------------------------------------------------------\n", + " X_test y_test_actual y_pred_Poly deg=3 error_Poly deg=3\n", + " 7.42 1,615.93 1,115.55 500.38\n", + " 8.76 6,433.01 6,158.40 274.61\n", + " 7.99 3,621.73 2,886.39 735.34\n", + " 5.36 -1,638.41 -1,779.09 140.68\n", + " 1.32 484.91 -531.97 1,016.88\n", + " 7.46 1,009.72 1,225.57 -215.85\n", + " 8.68 5,797.58 5,762.95 34.63\n", + " 2.05 -221.37 -702.27 480.91\n", + " 3.67 -1,643.30 -1,528.66 -114.64\n", + " 7.63 1,513.64 1,690.33 -176.69\n", + "\n", + "Всего записей в тестовой выборке: 40\n" + ] + } + ], + "source": [ + "print(\"=\"*60)\n", + "print(\"ИСХОДНЫЕ ДАННЫЕ ДЛЯ РАБОТЫ\")\n", + "print(\"=\"*60)\n", + "\n", + "print(f\"Размер обучающей выборки: {len(X_train)} записей\")\n", + "print(f\"Размер тестовой выборки: {len(X_test)} записей\")\n", + "\n", + "# Создаем DataFrame с исходными тестовыми данными и предсказаниями\n", + "data_comparison = pd.DataFrame({\n", + " 'X_test': X_test.flatten(),\n", + " 'y_test_actual': y_test,\n", + "})\n", + "\n", + "# Добавляем предсказания каждой модели\n", + "y_pred = best_model.predict(X_test)\n", + "data_comparison[f'y_pred_{name}'] = y_pred\n", + "data_comparison[f'error_{name}'] = y_test - y_pred\n", + "\n", + "print(\"\\nПервые 10 строк тестовых данных с предсказаниями:\")\n", + "print(\"-\" * 80)\n", + "print(data_comparison.head(10).to_string(index=False))\n", + "\n", + "print(f\"\\nВсего записей в тестовой выборке: {len(data_comparison)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "id": "b836d1be", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "ВИЗУАЛИЗАЦИЯ РЕЗУЛЬТАТОВ ЛУЧШЕЙ МОДЕЛИ\n", + "============================================================\n", + "Лучшая модель: Poly deg=3\n", + "R² на тестовых данных: 0.941602\n", + "\n", + "Подготовка данных для визуализации...\n", + "Создаем график сравнения фактических и предсказанных значений...\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# ======================= ВИЗУАЛИЗАЦИЯ РЕЗУЛЬТАТОВ ЛУЧШЕЙ МОДЕЛИ =======================\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"ВИЗУАЛИЗАЦИЯ РЕЗУЛЬТАТОВ ЛУЧШЕЙ МОДЕЛИ\")\n", + "print(\"=\"*60)\n", + "\n", + "print(f\"Лучшая модель: {best_model_name}\")\n", + "print(f\"R² на тестовых данных: {best_r2:.6f}\")\n", + "\n", + "# Получаем предсказания лучшей модели\n", + "y_pred_best = best_model.predict(X_test)\n", + "\n", + "# Создаем фигуру с сеткой 1x2 (только верхние графики)\n", + "fig, axes = plt.subplots(1, 2, figsize=(16, 6))\n", + "\n", + "# ==================== ГРАФИК 1: Исходные данные и линия регрессии ====================\n", + "print(\"\\nПодготовка данных для визуализации...\")\n", + "\n", + "# Создаем плавную линию регрессии для визуализации\n", + "X_plot = np.linspace(X.min() - 0.5, X.max() + 0.5, 500).reshape(-1, 1)\n", + "y_plot = best_model.predict(X_plot)\n", + "\n", + "# Разделяем данные на положительные и отрицательные для лучшей визуализации\n", + "mask_pos = df['y'] >= 0\n", + "mask_neg = df['y'] < 0\n", + "\n", + "# 1. Отрицательные y (красные точки)\n", + "axes[0].scatter(df.loc[mask_neg, 'X'], df.loc[mask_neg, 'y'], \n", + " alpha=0.6, s=40, color='tomato', \n", + " label='Отрицательные y', edgecolor='darkred', linewidth=0.5)\n", + "\n", + "# 2. Положительные y (синие точки)\n", + "axes[0].scatter(df.loc[mask_pos, 'X'], df.loc[mask_pos, 'y'], \n", + " alpha=0.6, s=40, color='dodgerblue', \n", + " label='Положительные y', edgecolor='navy', linewidth=0.5)\n", + "\n", + "# 3. Линия регрессии\n", + "axes[0].plot(X_plot, y_plot, color='darkgreen', linewidth=3.5, \n", + " label='Линия регрессии', alpha=0.9)\n", + "\n", + "# 4. Тестовые данные (выделяем)\n", + "test_mask_pos = y_test >= 0\n", + "test_mask_neg = y_test < 0\n", + "\n", + "axes[0].scatter(X_test[test_mask_neg.flatten()], y_test[test_mask_neg], \n", + " alpha=0.9, s=80, color='red', marker='s',\n", + " label='Тест: отрицательные', edgecolor='darkred', linewidth=1.5, zorder=5)\n", + "\n", + "axes[0].scatter(X_test[test_mask_pos.flatten()], y_test[test_mask_pos], \n", + " alpha=0.9, s=80, color='blue', marker='s',\n", + " label='Тест: положительные', edgecolor='navy', linewidth=1.5, zorder=5)\n", + "\n", + "# Настройки графика\n", + "axes[0].set_xlabel('Признак X', fontsize=12, fontweight='bold')\n", + "axes[0].set_ylabel('Целевая переменная y', fontsize=12, fontweight='bold')\n", + "axes[0].set_title(f'Регрессионная модель: {best_model_name}\\nR² = {best_r2:.4f}', \n", + " fontsize=14, fontweight='bold', pad=15)\n", + "axes[0].legend(loc='upper left', fontsize=12)\n", + "axes[0].grid(True, alpha=0.2, linestyle='--')\n", + "axes[0].axhline(y=0, color='black', linestyle='-', linewidth=1, alpha=0.5)\n", + "\n", + "# Добавляем информационную панель\n", + "info_text = f\"Модель: {best_model_name}\\nR² на тесте: {best_r2:.4f}\\nТочки данных: {len(df)}\"\n", + "axes[0].text(0.02, 0.98, info_text, transform=axes[0].transAxes,\n", + " fontsize=12, verticalalignment='top',\n", + " bbox=dict(boxstyle='round', facecolor='wheat', alpha=0.8))\n", + "\n", + "# ==================== ГРАФИК 2: Фактические vs Предсказанные значения ====================\n", + "print(\"Создаем график сравнения фактических и предсказанных значений...\")\n", + "\n", + "# Разделяем на положительные и отрицательные ошибки для цветового кодирования\n", + "error = y_test - y_pred_best\n", + "mask_pos_error = error >= 0\n", + "mask_neg_error = error < 0\n", + "\n", + "# Точки с положительной ошибкой (предсказание ниже фактического)\n", + "axes[1].scatter(y_test[mask_pos_error], y_pred_best[mask_pos_error], \n", + " alpha=0.7, s=60, color='lightcoral', \n", + " label='Предсказание < Фактического', edgecolor='red', linewidth=0.8)\n", + "\n", + "# Точки с отрицательной ошибкой (предсказание выше фактического)\n", + "axes[1].scatter(y_test[mask_neg_error], y_pred_best[mask_neg_error], \n", + " alpha=0.7, s=60, color='lightblue', \n", + " label='Предсказание > Фактического', edgecolor='blue', linewidth=0.8)\n", + "\n", + "# Линия идеальных предсказаний\n", + "min_val = min(y_test.min(), y_pred_best.min())\n", + "max_val = max(y_test.max(), y_pred_best.max())\n", + "axes[1].plot([min_val, max_val], [min_val, max_val], \n", + " color='black', linestyle='--', linewidth=2.5, \n", + " label='Идеальная линия', alpha=0.8)\n", + "\n", + "# Линия тренда через фактические данные\n", + "z = np.polyfit(y_test, y_pred_best, 1)\n", + "p = np.poly1d(z)\n", + "axes[1].plot([min_val, max_val], p([min_val, max_val]), \n", + " color='darkgreen', linestyle='-', linewidth=2.5, \n", + " label='Линия тренда', alpha=0.9)\n", + "\n", + "# Настройки графика\n", + "axes[1].set_xlabel('Фактические значения y', fontsize=12, fontweight='bold')\n", + "axes[1].set_ylabel('Предсказанные значения ŷ', fontsize=12, fontweight='bold')\n", + "axes[1].set_title('Фактические vs Предсказанные значения\\n(Тестовая выборка)', \n", + " fontsize=14, fontweight='bold', pad=15)\n", + "axes[1].legend(loc='upper left', fontsize=12)\n", + "axes[1].grid(True, alpha=0.2, linestyle='--')\n", + "\n", + "# Добавляем метрики качества\n", + "metrics_text = f\"R² = {best_r2:.4f}\\nRMSE = {np.sqrt(mean_squared_error(y_test, y_pred_best)):.2f}\\nMAE = {mean_absolute_error(y_test, y_pred_best):.2f}\"\n", + "axes[1].text(0.02, 0.98, metrics_text, transform=axes[1].transAxes,\n", + " fontsize=12, verticalalignment='top',\n", + " bbox=dict(boxstyle='round', facecolor='lightgreen', alpha=0.8))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "id": "b4ccfca6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "ИТОГОВЫЕ ВЫВОДЫ\n", + "============================================================\n", + "\n", + "РЕЗУЛЬТАТЫ ТЕСТИРОВАНИЯ:\n", + "\n", + "1. Poly deg=3:\n", + " - R²: 0.941602\n", + " - RMSE: 547.34\n", + " - MAE: 462.50\n", + "\n", + "2. Poly deg=3 + LassoCV:\n", + " - R²: 0.941273\n", + " - RMSE: 548.88\n", + " - MAE: 463.26\n", + "\n", + "ВЫВОДЫ:\n", + "- Лучшая модель: Poly deg=3\n", + "- Разница в R²: 0.000329\n", + "- Обе модели показывают отличное качество (R² > 0.94)\n", + "\n", + "РЕКОМЕНДАЦИИ:\n", + "1. Для научных целей: использовать Poly deg=3 (проще для интерпретации)\n", + "2. Для продакшена: использовать Poly deg=3 + LassoCV (лучше обобщается на новых данных)\n", + "\n", + "\n", + "============================================================\n", + "ЛАБОРАТОРНАЯ РАБОТА ВЫПОЛНЕНА УСПЕШНО!\n", + "============================================================\n" + ] + } + ], + "source": [ + "# ======================= ИТОГОВЫЕ ВЫВОДЫ =======================\n", + "\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"ИТОГОВЫЕ ВЫВОДЫ\")\n", + "print(\"=\"*60)\n", + "\n", + "print(f\"\"\"\n", + "РЕЗУЛЬТАТЫ ТЕСТИРОВАНИЯ:\n", + "\n", + "1. Poly deg=3:\n", + " - R²: {results_df_comparison[results_df_comparison['Model'] == 'Poly deg=3']['R²'].values[0]:.6f}\n", + " - RMSE: {results_df_comparison[results_df_comparison['Model'] == 'Poly deg=3']['RMSE'].values[0]:.2f}\n", + " - MAE: {results_df_comparison[results_df_comparison['Model'] == 'Poly deg=3']['MAE'].values[0]:.2f}\n", + "\n", + "2. Poly deg=3 + LassoCV:\n", + " - R²: {results_df_comparison[results_df_comparison['Model'] == 'Poly deg=3 + LassoCV']['R²'].values[0]:.6f}\n", + " - RMSE: {results_df_comparison[results_df_comparison['Model'] == 'Poly deg=3 + LassoCV']['RMSE'].values[0]:.2f}\n", + " - MAE: {results_df_comparison[results_df_comparison['Model'] == 'Poly deg=3 + LassoCV']['MAE'].values[0]:.2f}\n", + "\n", + "ВЫВОДЫ:\n", + "- Лучшая модель: {best_model_name}\n", + "- Разница в R²: {abs(results_df_comparison.iloc[0]['R²'] - results_df_comparison.iloc[1]['R²']):.6f}\n", + "- Обе модели показывают отличное качество (R² > 0.94)\n", + "\n", + "РЕКОМЕНДАЦИИ:\n", + "1. Для научных целей: использовать Poly deg=3 (проще для интерпретации)\n", + "2. Для продакшена: использовать Poly deg=3 + LassoCV (лучше обобщается на новых данных)\n", + "\"\"\")\n", + "\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"ЛАБОРАТОРНАЯ РАБОТА ВЫПОЛНЕНА УСПЕШНО!\")\n", + "print(\"=\"*60)" + ] + }, + { + "cell_type": "markdown", + "id": "3df98b90", + "metadata": {}, + "source": [ + "## Дополнительный раздел\n", + "### Эмпирические формулы" + ] + }, + { + "cell_type": "code", + "execution_count": 188, + "id": "50ae48ad", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "8. ЭМПИРИЧЕСКИЕ ФОРМУЛЫ - ПОЭТАПНЫЙ АНАЛИЗ\n", + "============================================================\n", + "\n", + "МЫ ВЫПОЛНЯЕМ СЛЕДУЮЩИЕ ШАГИ:\n", + "1. Получаем компоненты пайплайна\n", + "2. Смотрим коэффициенты для масштабированных признаков\n", + "3. Выполняем обратное преобразование\n", + "4. Получаем коэффициенты для исходных данных\n", + "5. Выводим уравнения в обоих форматах\n", + "\n" + ] + } + ], + "source": [ + "# ======================= 8. ВЫВОД УРАВНЕНИЙ БЕЗ ФУНКЦИЙ =======================\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"8. ЭМПИРИЧЕСКИЕ ФОРМУЛЫ - ПОЭТАПНЫЙ АНАЛИЗ\")\n", + "print(\"=\"*60)\n", + "\n", + "print(\"\"\"\n", + "МЫ ВЫПОЛНЯЕМ СЛЕДУЮЩИЕ ШАГИ:\n", + "1. Получаем компоненты пайплайна\n", + "2. Смотрим коэффициенты для масштабированных признаков\n", + "3. Выполняем обратное преобразование\n", + "4. Получаем коэффициенты для исходных данных\n", + "5. Выводим уравнения в обоих форматах\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 189, + "id": "ef950dc8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "АНАЛИЗ МОДЕЛИ: Poly deg=3 + LassoCV\n", + "============================================================\n", + "\n", + "1. ПОЛУЧАЕМ КОМПОНЕНТЫ ПАЙПЛАЙНА:\n", + " - PolynomialFeatures: степень = 3\n", + " - StandardScaler: применен ко всем признакам\n", + " - Регрессор: LassoCV\n", + " - Выбранный alpha LassoCV: 0.100000\n", + "\n", + "============================================================\n", + "АНАЛИЗ МОДЕЛИ: Poly deg=3\n", + "============================================================\n", + "\n", + "1. ПОЛУЧАЕМ КОМПОНЕНТЫ ПАЙПЛАЙНА:\n", + " - PolynomialFeatures: степень = 3\n", + " - StandardScaler: применен ко всем признакам\n", + " - Регрессор: LinearRegression\n" + ] + } + ], + "source": [ + "\n", + "# Перебираем обе модели\n", + "for model_name, model in trained_models.items():\n", + " print(f\"\\n{'='*60}\")\n", + " print(f\"АНАЛИЗ МОДЕЛИ: {model_name}\")\n", + " print(f\"{'='*60}\")\n", + " \n", + " # ========== ШАГ 1: ПОЛУЧАЕМ КОМПОНЕНТЫ ПАЙПЛАЙНА ==========\n", + " print(\"\\n1. ПОЛУЧАЕМ КОМПОНЕНТЫ ПАЙПЛАЙНА:\")\n", + " \n", + " # Получаем компоненты пайплайна\n", + " poly = model.named_steps['poly']\n", + " scaler = model.named_steps['scaler']\n", + " reg = model.named_steps['reg']\n", + " \n", + " print(f\" - PolynomialFeatures: степень = {poly.degree}\")\n", + " print(f\" - StandardScaler: применен ко всем признакам\")\n", + " print(f\" - Регрессор: {type(reg).__name__}\")\n", + " \n", + " if 'LassoCV' in model_name:\n", + " print(f\" - Выбранный alpha LassoCV: {reg.alpha_:.6f}\")\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 190, + "id": "0ec1d810", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "2. КОЭФФИЦИЕНТЫ ДЛЯ МАСШТАБИРОВАННЫХ ПРИЗНАКОВ:\n", + " (Z_i = (X^i - mean_i) / std_i)\n", + " Intercept (bias): -113.82397971\n", + " Коэффициент для Z_1 (масштабированный X^1): 2314.80663858\n", + " Коэффициент для Z_2 (масштабированный X^2): -12091.37712732\n", + " Коэффициент для Z_3 (масштабированный X^3): 11764.83471487\n" + ] + } + ], + "source": [ + "# ========== ШАГ 2: КОЭФФИЦИЕНТЫ ДЛЯ МАСШТАБИРОВАННЫХ ПРИЗНАКОВ ==========\n", + "print(\"\\n2. КОЭФФИЦИЕНТЫ ДЛЯ МАСШТАБИРОВАННЫХ ПРИЗНАКОВ:\")\n", + "print(\" (Z_i = (X^i - mean_i) / std_i)\")\n", + "\n", + "scaled_coeffs = reg.coef_.copy()\n", + "scaled_intercept = reg.intercept_\n", + "\n", + "print(f\" Intercept (bias): {scaled_intercept:.8f}\")\n", + "for i, coef in enumerate(scaled_coeffs):\n", + " print(f\" Коэффициент для Z_{i+1} (масштабированный X^{i+1}): {coef:.8f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 191, + "id": "d6f95c1f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "3. СТАТИСТИКА МАСШТАБИРОВАНИЯ:\n", + " X^1:\n", + " Среднее (mean): 5.01388889\n", + " Стандартное отклонение (std): 2.27774103\n", + " X^2:\n", + " Среднее (mean): 30.32718600\n", + " Стандартное отклонение (std): 23.44759018\n", + " X^3:\n", + " Среднее (mean): 204.34200347\n", + " Стандартное отклонение (std): 208.42587433\n" + ] + } + ], + "source": [ + "# ========== ШАГ 3: СТАТИСТИКА МАСШТАБИРОВАНИЯ ==========\n", + "print(\"\\n3. СТАТИСТИКА МАСШТАБИРОВАНИЯ:\")\n", + "\n", + "means = scaler.mean_\n", + "stds = scaler.scale_\n", + "\n", + "for i in range(len(means)):\n", + " print(f\" X^{i+1}:\")\n", + " print(f\" Среднее (mean): {means[i]:.8f}\")\n", + " print(f\" Стандартное отклонение (std): {stds[i]:.8f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 192, + "id": "1cdb9440", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "4. ОБРАТНОЕ ПРЕОБРАЗОВАНИЕ КОЭФФИЦИЕНТОВ:\n", + " Формулы преобразования:\n", + " original_coeffs[i] = scaled_coeffs[i] / stds[i]\n", + " original_intercept = scaled_intercept - Σ(scaled_coeffs[i] * means[i] / stds[i])\n", + "\n", + "5. КОЭФФИЦИЕНТЫ ДЛЯ ИСХОДНЫХ ДАННЫХ:\n", + " Intercept (свободный член): -1104.59496261\n", + " Коэффициент для X^1: 1016.27296761\n", + " Коэффициент для X^2: -515.67675129\n", + " Коэффициент для X^3: 56.44613344\n" + ] + } + ], + "source": [ + "# ========== ШАГ 4: ОБРАТНОЕ ПРЕОБРАЗОВАНИЕ ==========\n", + "print(\"\\n4. ОБРАТНОЕ ПРЕОБРАЗОВАНИЕ КОЭФФИЦИЕНТОВ:\")\n", + "\n", + "# Вычисляем коэффициенты для исходных данных\n", + "original_coeffs = scaled_coeffs / stds\n", + "original_intercept = scaled_intercept - np.sum(scaled_coeffs * means / stds)\n", + "\n", + "print(\" Формулы преобразования:\")\n", + "print(\" original_coeffs[i] = scaled_coeffs[i] / stds[i]\")\n", + "print(\" original_intercept = scaled_intercept - Σ(scaled_coeffs[i] * means[i] / stds[i])\")\n", + "\n", + "# ========== ШАГ 5: КОЭФФИЦИЕНТЫ ДЛЯ ИСХОДНЫХ ДАННЫХ ==========\n", + "print(\"\\n5. КОЭФФИЦИЕНТЫ ДЛЯ ИСХОДНЫХ ДАННЫХ:\")\n", + "\n", + "print(f\" Intercept (свободный член): {original_intercept:.8f}\")\n", + "for i, coef in enumerate(original_coeffs):\n", + " print(f\" Коэффициент для X^{i+1}: {coef:.8f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 193, + "id": "6b724600", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " а) Для масштабированных признаков:\n", + " y = -113.823980 + 2314.806639·Z_1 - 12091.377127·Z_2 + 11764.834715·Z_3\n", + "\n", + " б) Для исходных признаков:\n", + " y = -1104.594963 + 1016.272968·X^1 - 515.676751·X^2 + 56.446133·X^3\n", + "\n", + " в) Развернутое уравнение (подстановка Z_i):\n", + " y = -113.823980 + 2314.806639·(X^1 - 5.013889)/2.277741 - 12091.377127·(X^2 - 30.327186)/23.447590 + 11764.834715·(X^3 - 204.342003)/208.425874\n" + ] + } + ], + "source": [ + " \n", + "# 6.1 Уравнение для масштабированных признаков\n", + "print(\"\\n а) Для масштабированных признаков:\")\n", + "eq_scaled = f\"y = {scaled_intercept:.6f}\"\n", + "for i in range(len(scaled_coeffs)):\n", + " if abs(scaled_coeffs[i]) > 1e-10:\n", + " sign = \" + \" if scaled_coeffs[i] >= 0 else \" - \"\n", + " eq_scaled += f\"{sign}{abs(scaled_coeffs[i]):.6f}·Z_{i+1}\"\n", + "print(f\" {eq_scaled}\")\n", + "\n", + "# 6.2 Уравнение для исходных признаков\n", + "print(\"\\n б) Для исходных признаков:\")\n", + "eq_original = f\"y = {original_intercept:.6f}\"\n", + "for i in range(len(original_coeffs)):\n", + " if abs(original_coeffs[i]) > 1e-10:\n", + " sign = \" + \" if original_coeffs[i] >= 0 else \" - \"\n", + " eq_original += f\"{sign}{abs(original_coeffs[i]):.6f}·X^{i+1}\"\n", + "print(f\" {eq_original}\")\n", + "\n", + "# 6.3 Развернутое уравнение с учетом масштабирования\n", + "print(\"\\n в) Развернутое уравнение (подстановка Z_i):\")\n", + "eq_expanded = f\"y = {scaled_intercept:.6f}\"\n", + "for i in range(len(scaled_coeffs)):\n", + " if abs(scaled_coeffs[i]) > 1e-10:\n", + " sign = \" + \" if scaled_coeffs[i] >= 0 else \" - \"\n", + " eq_expanded += f\"{sign}{abs(scaled_coeffs[i]):.6f}·(X^{i+1} - {means[i]:.6f})/{stds[i]:.6f}\"\n", + "print(f\" {eq_expanded}\")\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 194, + "id": "94251c26", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "7. ПРОВЕРКА КОРРЕКТНОСТИ ПРЕОБРАЗОВАНИЯ:\n", + " Тестовая точка X = 7.4242\n", + " Предсказание через pipeline: 1115.545906\n", + " Предсказание по уравнению: 1115.545906\n", + " Разница: 0.0000000000\n", + " ✅ Преобразование выполнено корректно!\n" + ] + } + ], + "source": [ + "# ========== ШАГ 7: ПРОВЕРКА КОРРЕКТНОСТИ ==========\n", + "print(\"\\n7. ПРОВЕРКА КОРРЕКТНОСТИ ПРЕОБРАЗОВАНИЯ:\")\n", + "\n", + "# Берем тестовую точку для проверки\n", + "X_test_point = X_test[0:1] # Первая тестовая точка\n", + "y_pred_pipeline = model.predict(X_test_point)[0]\n", + "\n", + "# Вычисляем вручную по исходному уравнению\n", + "# Сначала получаем полиномиальные признаки\n", + "X_poly_test = poly.transform(X_test_point)[0]\n", + "\n", + "# Вычисляем по исходному уравнению\n", + "y_manual = original_intercept\n", + "for i in range(len(original_coeffs)):\n", + " y_manual += original_coeffs[i] * X_poly_test[i]\n", + "\n", + "print(f\" Тестовая точка X = {X_test_point[0][0]:.4f}\")\n", + "print(f\" Предсказание через pipeline: {y_pred_pipeline:.6f}\")\n", + "print(f\" Предсказание по уравнению: {y_manual:.6f}\")\n", + "print(f\" Разница: {abs(y_pred_pipeline - y_manual):.10f}\")\n", + "\n", + "if abs(y_pred_pipeline - y_manual) < 1e-10:\n", + " print(\" ✅ Преобразование выполнено корректно!\")\n", + "else:\n", + " print(\" ⚠️ Возможна ошибка в преобразовании\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 195, + "id": "bd436509", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "8. АНАЛИЗ КОЭФФИЦИЕНТОВ:\n", + " Относительная важность признаков:\n", + " X^1: 63.98%\n", + " X^2: 32.47%\n", + " X^3: 3.55%\n", + "\n", + "============================================================\n" + ] + } + ], + "source": [ + "# ========== ШАГ 8: АНАЛИЗ КОЭФФИЦИЕНТОВ ==========\n", + "print(\"\\n8. АНАЛИЗ КОЭФФИЦИЕНТОВ:\")\n", + "\n", + "# Вычисляем относительную важность признаков\n", + "abs_coeffs = abs(original_coeffs)\n", + "if np.sum(abs_coeffs) > 0:\n", + " importance = abs_coeffs / np.sum(abs_coeffs) * 100\n", + " \n", + " print(\" Относительная важность признаков:\")\n", + " for i in range(len(importance)):\n", + " print(f\" X^{i+1}: {importance[i]:.2f}%\")\n", + "\n", + "# Анализ для LassoCV\n", + "if 'LassoCV' in model_name:\n", + " print(\"\\n Анализ LassoCV:\")\n", + " zero_count = sum(abs(scaled_coeffs) < 1e-10)\n", + " if zero_count > 0:\n", + " print(f\" Lasso обнулил {zero_count} коэффициентов:\")\n", + " for i, coef in enumerate(scaled_coeffs):\n", + " if abs(coef) < 1e-10:\n", + " print(f\" Коэффициент для X^{i+1} обнулён\")\n", + " else:\n", + " print(\" Lasso не обнулил ни одного коэффициента\")\n", + " print(\" Все признаки важны для модели\")\n", + "\n", + "print(f\"\\n{'='*60}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 196, + "id": "00e2f75c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "9. СРАВНЕНИЕ КОЭФФИЦИЕНТОВ ОБЕИХ МОДЕЛЕЙ\n", + "============================================================\n", + "\n", + "СРАВНЕНИЕ КОЭФФИЦИЕНТОВ ДЛЯ ИСХОДНЫХ ДАННЫХ:\n", + "--------------------------------------------------------------------------------\n", + "Коэффициент Poly deg=3 Poly deg=3 + LassoCV Разница\n", + "--------------------------------------------------------------------------------\n", + "Intercept -1104.594963 -1035.816756 68.778207\n", + "X^1 1016.272968 960.088611 -56.184357\n", + "X^2 -515.676751 -503.143081 12.533671\n", + "X^3 56.446133 55.627961 -0.818173\n", + "--------------------------------------------------------------------------------\n", + "\n", + "АНАЛИЗ РАЗНИЦЫ КОЭФФИЦИЕНТОВ:\n", + "🔴 Коэффициенты значительно различаются (разница > 0.1)\n", + " LassoCV существенно изменил модель\n" + ] + } + ], + "source": [ + "# ======================= 9. СРАВНЕНИЕ КОЭФФИЦИЕНТОВ МОДЕЛЕЙ =======================\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"9. СРАВНЕНИЕ КОЭФФИЦИЕНТОВ ОБЕИХ МОДЕЛЕЙ\")\n", + "print(\"=\"*60)\n", + "\n", + "# Создаем таблицу для сравнения\n", + "print(\"\\nСРАВНЕНИЕ КОЭФФИЦИЕНТОВ ДЛЯ ИСХОДНЫХ ДАННЫХ:\")\n", + "print(\"-\" * 80)\n", + "print(f\"{'Коэффициент':<15} {'Poly deg=3':>20} {'Poly deg=3 + LassoCV':>25} {'Разница':>15}\")\n", + "print(\"-\" * 80)\n", + "\n", + "# Собираем коэффициенты для обеих моделей\n", + "comparison_data = []\n", + "\n", + "for model_name, model in trained_models.items():\n", + " # Получаем компоненты\n", + " poly = model.named_steps['poly']\n", + " scaler = model.named_steps['scaler']\n", + " reg = model.named_steps['reg']\n", + " \n", + " # Вычисляем коэффициенты для исходных данных\n", + " scaled_coeffs = reg.coef_.copy()\n", + " scaled_intercept = reg.intercept_\n", + " means = scaler.mean_\n", + " stds = scaler.scale_\n", + " \n", + " original_coeffs = scaled_coeffs / stds\n", + " original_intercept = scaled_intercept - np.sum(scaled_coeffs * means / stds)\n", + " \n", + " # Сохраняем в словарь\n", + " if model_name == 'Poly deg=3':\n", + " poly3_intercept = original_intercept\n", + " poly3_coeffs = original_coeffs.copy()\n", + " elif model_name == 'Poly deg=3 + LassoCV':\n", + " lasso_intercept = original_intercept\n", + " lasso_coeffs = original_coeffs.copy()\n", + "\n", + "# Выводим сравнение\n", + "# Intercept\n", + "diff_intercept = lasso_intercept - poly3_intercept\n", + "print(f\"{'Intercept':<15} {poly3_intercept:>20.6f} {lasso_intercept:>25.6f} {diff_intercept:>15.6f}\")\n", + "\n", + "# Коэффициенты\n", + "for i in range(len(poly3_coeffs)):\n", + " diff = lasso_coeffs[i] - poly3_coeffs[i]\n", + " print(f\"{'X^' + str(i+1):<15} {poly3_coeffs[i]:>20.6f} {lasso_coeffs[i]:>25.6f} {diff:>15.6f}\")\n", + "\n", + "print(\"-\" * 80)\n", + "\n", + "# Анализ разницы\n", + "print(\"\\nАНАЛИЗ РАЗНИЦЫ КОЭФФИЦИЕНТОВ:\")\n", + "max_abs_diff = max(abs(lasso_intercept - poly3_intercept), \n", + " *[abs(a - b) for a, b in zip(lasso_coeffs, poly3_coeffs)])\n", + "\n", + "if max_abs_diff < 1e-6:\n", + " print(\"✅ Коэффициенты практически идентичны (разница < 1e-6)\")\n", + " print(\" LassoCV выбрал очень слабую регуляризацию\")\n", + "elif max_abs_diff < 1e-3:\n", + " print(\"⚠️ Коэффициенты немного различаются (разница < 1e-3)\")\n", + " print(\" LassoCV применил небольшую регуляризацию\")\n", + "elif max_abs_diff < 0.1:\n", + " print(\"🔍 Коэффициенты умеренно различаются (разница < 0.1)\")\n", + " print(\" LassoCV применил заметную регуляризацию\")\n", + "else:\n", + " print(\"🔴 Коэффициенты значительно различаются (разница > 0.1)\")\n", + " print(\" LassoCV существенно изменил модель\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "id": "1fcaea21", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "10. ФИНАЛЬНЫЕ УРАВНЕНИЯ ДЛЯ ОТЧЕТА\n", + "============================================================\n", + "\n", + "Для включения в отчет рекомендуется использовать следующие уравнения\n", + "(округленные до разумного количества знаков):\n", + "\n", + "\n", + "Poly deg=3 + LassoCV:\n", + " y = -1035.8168 + 960.0886·X^1 - 503.1431·X^2 + 55.6280·X^3\n", + " (более точно: y = -1035.816756 + 960.088611·X^1 - 503.143081·X^2 + 55.627961·X^3)\n", + "\n", + "Poly deg=3:\n", + " y = -1104.5950 + 1016.2730·X^1 - 515.6768·X^2 + 56.4461·X^3\n", + " (более точно: y = -1104.594963 + 1016.272968·X^1 - 515.676751·X^2 + 56.446133·X^3)\n" + ] + } + ], + "source": [ + "# ======================= 10. ФИНАЛЬНЫЕ УРАВНЕНИЯ ДЛЯ ОТЧЕТА =======================\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"10. ФИНАЛЬНЫЕ УРАВНЕНИЯ ДЛЯ ОТЧЕТА\")\n", + "print(\"=\"*60)\n", + "\n", + "print(\"\"\"\n", + "Для включения в отчет рекомендуется использовать следующие уравнения\n", + "(округленные до разумного количества знаков):\n", + "\"\"\")\n", + "\n", + "for model_name, model in trained_models.items():\n", + " # Получаем коэффициенты\n", + " poly = model.named_steps['poly']\n", + " scaler = model.named_steps['scaler']\n", + " reg = model.named_steps['reg']\n", + " \n", + " scaled_coeffs = reg.coef_.copy()\n", + " scaled_intercept = reg.intercept_\n", + " means = scaler.mean_\n", + " stds = scaler.scale_\n", + " \n", + " original_coeffs = scaled_coeffs / stds\n", + " original_intercept = scaled_intercept - np.sum(scaled_coeffs * means / stds)\n", + " \n", + " print(f\"\\n{model_name}:\")\n", + " \n", + " # Вариант 1: С 4 знаками после запятой\n", + " equation = f\"y = {original_intercept:.4f}\"\n", + " for i in range(len(original_coeffs)):\n", + " if abs(original_coeffs[i]) > 1e-10:\n", + " sign = \" + \" if original_coeffs[i] >= 0 else \" - \"\n", + " equation += f\"{sign}{abs(original_coeffs[i]):.4f}·X^{i+1}\"\n", + " print(f\" {equation}\")\n", + " \n", + " # Вариант 2: С 6 знаками (более точно)\n", + " equation_precise = f\"y = {original_intercept:.6f}\"\n", + " for i in range(len(original_coeffs)):\n", + " if abs(original_coeffs[i]) > 1e-10:\n", + " sign = \" + \" if original_coeffs[i] >= 0 else \" - \"\n", + " equation_precise += f\"{sign}{abs(original_coeffs[i]):.6f}·X^{i+1}\"\n", + " print(f\" (более точно: {equation_precise})\")" + ] + }, + { + "cell_type": "markdown", + "id": "a1c051ab", + "metadata": {}, + "source": [ + "### Сравнение Best Model с Базовыми моделями" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "id": "5d913e01", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "КОМПЛЕКСНАЯ ОЦЕНКА КАЧЕСТВА МОДЕЛИ\n", + "================================================================================\n", + "1. СРАВНЕНИЕ С БАЗОВЫМИ МОДЕЛЯМИ:\n", + "--------------------------------------------------\n", + "Модель 'всегда среднее':\n", + " R² = -0.0021 (best model: 0.9416)\n", + " MAE = 1652.55 (best model: 462.50)\n", + " RMSE = 2267.31 (best model: 547.34)\n", + "\n", + "Простая линейная регрессия:\n", + " R² = 0.3034 (best model: 0.9416)\n", + " MAE = 1538.03 (best model: 462.50)\n", + " RMSE = 1890.32 (best model: 547.34)\n", + "\n", + "2. BEST MODEL УЛУЧШАЕТ ПРОГНОЗ НА:\n", + " R²: +0.6382\n", + " MAE: -1075.53 единиц\n", + " RMSE: -1342.98 единиц\n", + "\n", + "3. КРИТЕРИИ КАЧЕСТВА (для задач регрессии):\n", + "--------------------------------------------------\n", + "ОТЛИЧНО:\n", + " R² > 0.9 - объясняет >90% дисперсии ✓ BEST MODEL\n", + " MAE < 10% от размаха данных\n", + "\n", + "ХОРОШО:\n", + " R² 0.7-0.9 - объясняет 70-90% дисперсии\n", + " MAE < 20% от размаха данных\n", + "\n", + "УДОВЛЕТВОРИТЕЛЬНО:\n", + " R² 0.5-0.7 - объясняет 50-70% дисперсии\n", + " MAE < 30% от размаха данных\n", + "\n", + "ПЛОХО:\n", + " R² < 0.5 - объясняет <50% дисперсии\n", + " MAE > 30% от размаха данных\n", + "\n", + "4. ДЛЯ BEST MODEL:\n", + " Размах данных: 10291.71\n", + " MAE = 462.50 (4.5% от размаха)\n", + " ✅ MAE < 10% от размаха - ОТЛИЧНО!\n", + "\n", + " R² = 0.9416 (>0.9)\n", + " ✅ R² > 0.9 - ОТЛИЧНО!\n" + ] + } + ], + "source": [ + "print(\"\\n\" + \"=\"*80)\n", + "print(\"КОМПЛЕКСНАЯ ОЦЕНКА КАЧЕСТВА МОДЕЛИ\")\n", + "print(\"=\"*80)\n", + "\n", + "# 1. Сравнение с наивными моделями\n", + "print(\"1. СРАВНЕНИЕ С БАЗОВЫМИ МОДЕЛЯМИ:\")\n", + "print(\"-\" * 50)\n", + "\n", + "# Наивная модель 1: всегда предсказываем среднее\n", + "y_mean = np.full_like(y_test, y_train.mean())\n", + "r2_mean = r2_score(y_test, y_mean)\n", + "mae_mean = mean_absolute_error(y_test, y_mean)\n", + "rmse_mean = np.sqrt(mean_squared_error(y_test, y_mean))\n", + "\n", + "print(f\"Модель 'всегда среднее':\")\n", + "print(f\" R² = {r2_mean:.4f} (best model: {0.9416:.4f})\")\n", + "print(f\" MAE = {mae_mean:.2f} (best model: {462.50:.2f})\")\n", + "print(f\" RMSE = {rmse_mean:.2f} (best model: {547.34:.2f})\")\n", + "\n", + "# Наивная модель 2: простая линейная регрессия\n", + "from sklearn.linear_model import LinearRegression\n", + "linear_model = LinearRegression()\n", + "linear_model.fit(X_train, y_train)\n", + "y_pred_linear = linear_model.predict(X_test)\n", + "\n", + "r2_linear = r2_score(y_test, y_pred_linear)\n", + "mae_linear = mean_absolute_error(y_test, y_pred_linear)\n", + "rmse_linear = np.sqrt(mean_squared_error(y_test, y_pred_linear))\n", + "\n", + "print(f\"\\nПростая линейная регрессия:\")\n", + "print(f\" R² = {r2_linear:.4f} (best model: {0.9416:.4f})\")\n", + "print(f\" MAE = {mae_linear:.2f} (best model: {462.50:.2f})\")\n", + "print(f\" RMSE = {rmse_linear:.2f} (best model: {547.34:.2f})\")\n", + "\n", + "# 2. Анализ улучшения\n", + "print(f\"\\n2. BEST MODEL УЛУЧШАЕТ ПРОГНОЗ НА:\")\n", + "print(f\" R²: +{(0.9416 - r2_linear):.4f}\")\n", + "print(f\" MAE: -{(mae_linear - 462.50):.2f} единиц\")\n", + "print(f\" RMSE: -{(rmse_linear - 547.34):.2f} единиц\")\n", + "\n", + "# 3. Критерии качества\n", + "print(\"\\n3. КРИТЕРИИ КАЧЕСТВА (для задач регрессии):\")\n", + "print(\"-\" * 50)\n", + "\n", + "print(\"ОТЛИЧНО:\")\n", + "print(\" R² > 0.9 - объясняет >90% дисперсии ✓ BEST MODEL\")\n", + "print(\" MAE < 10% от размаха данных\")\n", + "\n", + "print(\"\\nХОРОШО:\")\n", + "print(\" R² 0.7-0.9 - объясняет 70-90% дисперсии\")\n", + "print(\" MAE < 20% от размаха данных\")\n", + "\n", + "print(\"\\nУДОВЛЕТВОРИТЕЛЬНО:\")\n", + "print(\" R² 0.5-0.7 - объясняет 50-70% дисперсии\")\n", + "print(\" MAE < 30% от размаха данных\")\n", + "\n", + "print(\"\\nПЛОХО:\")\n", + "print(\" R² < 0.5 - объясняет <50% дисперсии\")\n", + "print(\" MAE > 30% от размаха данных\")\n", + "\n", + "# 4. Вычисляем для вашей модели\n", + "data_range = df['y'].max() - df['y'].min()\n", + "mae_percent_of_range = (462.50 / data_range) * 100\n", + "\n", + "print(f\"\\n4. ДЛЯ BEST MODEL:\")\n", + "print(f\" Размах данных: {data_range:.2f}\")\n", + "print(f\" MAE = {462.50:.2f} ({mae_percent_of_range:.1f}% от размаха)\")\n", + "\n", + "if mae_percent_of_range < 10:\n", + " print(\" ✅ MAE < 10% от размаха - ОТЛИЧНО!\")\n", + "elif mae_percent_of_range < 20:\n", + " print(\" ✅ MAE < 20% от размаха - ХОРОШО!\")\n", + "elif mae_percent_of_range < 30:\n", + " print(\" ⚠️ MAE < 30% от размаха - УДОВЛЕТВОРИТЕЛЬНО\")\n", + "else:\n", + " print(\" ❌ MAE > 30% от размаха - ПЛОХО\")\n", + "\n", + "print(f\"\\n R² = {0.9416:.4f} (>0.9)\")\n", + "print(\" ✅ R² > 0.9 - ОТЛИЧНО!\")" + ] + }, + { + "cell_type": "markdown", + "id": "78cccae0", + "metadata": {}, + "source": [ + "### Проверка предсказаний двух лучших моделей и простой модели LinearRegression()" + ] + }, + { + "cell_type": "code", + "execution_count": 199, + "id": "5c3507b7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "5. ПРОВЕРКА ПРЕДСКАЗАНИЙ НА РЕАЛЬНЫХ ДАННЫХ (ПЕРВЫЕ 5 СТРОК)\n", + "================================================================================\n", + "Исходные данные:\n", + "--------------------------------------------------\n", + " X y\n", + "0 1.04 -205.79\n", + "1 4.56 -1,933.31\n", + "2 2.41 -1,075.59\n", + "3 3.10 -889.28\n", + "4 1.93 114.31\n", + "Модель 'Linear (no scaler)' создана и обучена.\n", + "\n", + "================================================================================\n", + "СРАВНЕНИЕ ПРЕДСКАЗАНИЙ РАЗНЫХ МОДЕЛЕЙ\n", + "================================================================================\n", + "\n", + "📊 ТАБЛИЦА ПРЕДСКАЗАНИЙ (первые 5 строк):\n", + "----------------------------------------------------------------------------------------------------\n", + " X Y_реальный Лучшая (Poly de... Poly deg=3 + La... Linear (no scal...\n", + "1.04 -205.79 -541.88 -518.91 -2,739.14\n", + "4.56 -1,933.31 -1,840.27 -1,844.68 -416.65\n", + "2.41 -1,075.59 -862.39 -867.71 -1,831.50\n", + "3.10 -889.28 -1,228.77 -1,238.10 -1,377.68\n", + "1.93 114.31 -658.00 -656.84 -2,151.84\n", + "\n", + "\n", + "📈 ТАБЛИЦА ОШИБОК (первые 5 строк):\n", + "----------------------------------------------------------------------------------------------------\n", + " X Y_реальный Лучшая (Po_ошиб Лучшая (Po_%ош Poly deg=3_ошиб Poly deg=3_%ош Linear (no_ошиб Linear (no_%ош\n", + "1.04 -205.79 336.09 163.32 313.12 152.16 2,533.35 1,231.03\n", + "4.56 -1,933.31 -93.04 4.81 -88.63 4.58 -1,516.66 78.45\n", + "2.41 -1,075.59 -213.20 19.82 -207.88 19.33 755.91 70.28\n", + "3.10 -889.28 339.49 38.18 348.81 39.22 488.39 54.92\n", + "1.93 114.31 772.30 675.64 771.14 674.63 2,266.15 1,982.52\n", + "\n", + "\n", + "🎯 СТАТИСТИКА ОШИБОК НА ПЕРВЫХ 5 СТРОКАХ:\n", + "--------------------------------------------------------------------------------\n", + " Модель Средняя_абс_ошибка Макс_абс_ошибка Средняя_%ошибка Макс_%ошибка\n", + " Лучшая (Poly deg=3) 350.82 772.30 180.35 675.64\n", + "Poly deg=3 + LassoCV 345.92 771.14 177.98 674.63\n", + " Linear (no scaler) 1512.09 2533.35 683.44 1982.52\n", + "\n", + "\n", + "📊 ВИЗУАЛИЗАЦИЯ СРАВНЕНИЯ МОДЕЛЕЙ:\n", + "--------------------------------------------------------------------------------\n", + "Количество моделей для построения графиков: 3\n", + "\n", + "Построение графика ошибок для 3 моделей:\n", + " Модель 'Лучшая (Poly deg=3)': 5 значений ошибок\n", + " Модель 'Poly deg=3 + LassoCV': 5 значений ошибок\n", + " Модель 'Linear (no scaler)': 5 значений ошибок\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "📈 ГРАФИК ОШИБОК ДЛЯ 3 МОДЕЛЕЙ:\n", + "--------------------------------------------------------------------------------\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "ИТОГОВАЯ СТАТИСТИКА ПО ВСЕМ МОДЕЛЯМ:\n", + "================================================================================\n", + "\n", + "Модели отсортированы по качеству (лучшие сверху):\n", + "----------------------------------------------------------------------------------------------------\n", + "🏆 1. Poly deg=3 + LassoCV:\n", + " Средняя абсолютная ошибка: 345.92\n", + " Средняя процентная ошибка: 177.98%\n", + " Сумма абсолютных ошибок: 1729.58\n", + " Место: 1/3\n", + "\n", + " 2. Лучшая (Poly deg=3):\n", + " Средняя абсолютная ошибка: 350.82\n", + " Средняя процентная ошибка: 180.35%\n", + " Сумма абсолютных ошибок: 1754.12\n", + " Место: 2/3\n", + "\n", + " 3. Linear (no scaler):\n", + " Средняя абсолютная ошибка: 1512.09\n", + " Средняя процентная ошибка: 683.44%\n", + " Сумма абсолютных ошибок: 7560.46\n", + " Место: 3/3\n", + "\n", + "\n", + "================================================================================\n", + "ПОДРОБНЫЙ АНАЛИЗ КАЖДОЙ СТРОКИ:\n", + "================================================================================\n", + "\n", + "============================================================\n", + "СТРОКА 1: X = 1.040404, Реальный Y = -205.789979\n", + "============================================================\n", + "\n", + "Предсказания разных моделей:\n", + "--------------------------------------------------\n", + "Лучшая (Poly deg=3) → -541.88 (ошибка: 336.09 ↓ недооценка, 163.3%) 🔴 ПЛОХО\n", + "Poly deg=3 + LassoCV → -518.91 (ошибка: 313.12 ↓ недооценка, 152.2%) 🔴 ПЛОХО\n", + "Linear (no scaler) → -2739.14 (ошибка: 2533.35 ↓ недооценка, 1231.0%) 🔴 ПЛОХО\n", + "\n", + "============================================================\n", + "СТРОКА 2: X = 4.555556, Реальный Y = -1933.310618\n", + "============================================================\n", + "\n", + "Предсказания разных моделей:\n", + "--------------------------------------------------\n", + "Лучшая (Poly deg=3) → -1840.27 (ошибка: 93.04 ↑ переоценка, 4.8%) 🟢 ОТЛИЧНО\n", + "Poly deg=3 + LassoCV → -1844.68 (ошибка: 88.63 ↑ переоценка, 4.6%) 🟢 ОТЛИЧНО\n", + "Linear (no scaler) → -416.65 (ошибка: 1516.66 ↑ переоценка, 78.5%) 🔴 ПЛОХО\n", + "\n", + "============================================================\n", + "СТРОКА 3: X = 2.414141, Реальный Y = -1075.586885\n", + "============================================================\n", + "\n", + "Предсказания разных моделей:\n", + "--------------------------------------------------\n", + "Лучшая (Poly deg=3) → -862.39 (ошибка: 213.20 ↑ переоценка, 19.8%) 🟡 ХОРОШО\n", + "Poly deg=3 + LassoCV → -867.71 (ошибка: 207.88 ↑ переоценка, 19.3%) 🟡 ХОРОШО\n", + "Linear (no scaler) → -1831.50 (ошибка: 755.91 ↓ недооценка, 70.3%) 🔴 ПЛОХО\n", + "\n", + "============================================================\n", + "СТРОКА 4: X = 3.101010, Реальный Y = -889.283808\n", + "============================================================\n", + "\n", + "Предсказания разных моделей:\n", + "--------------------------------------------------\n", + "Лучшая (Poly deg=3) → -1228.77 (ошибка: 339.49 ↓ недооценка, 38.2%) 🟠 УДОВЛЕТВОРИТЕЛЬНО\n", + "Poly deg=3 + LassoCV → -1238.10 (ошибка: 348.81 ↓ недооценка, 39.2%) 🟠 УДОВЛЕТВОРИТЕЛЬНО\n", + "Linear (no scaler) → -1377.68 (ошибка: 488.39 ↓ недооценка, 54.9%) 🔴 ПЛОХО\n", + "\n", + "============================================================\n", + "СТРОКА 5: X = 1.929293, Реальный Y = 114.306301\n", + "============================================================\n", + "\n", + "Предсказания разных моделей:\n", + "--------------------------------------------------\n", + "Лучшая (Poly deg=3) → -658.00 (ошибка: 772.30 ↓ недооценка, 675.6%) 🔴 ПЛОХО\n", + "Poly deg=3 + LassoCV → -656.84 (ошибка: 771.14 ↓ недооценка, 674.6%) 🔴 ПЛОХО\n", + "Linear (no scaler) → -2151.84 (ошибка: 2266.15 ↓ недооценка, 1982.5%) 🔴 ПЛОХО\n", + "\n", + "================================================================================\n", + "ВЫВОДЫ И РЕКОМЕНДАЦИИ:\n", + "================================================================================\n", + "\n", + "📌 КЛЮЧЕВЫЕ НАБЛЮДЕНИЯ:\n", + "\n", + "1. **Лучшая модель (Poly deg=3)** показывает стабильно хорошие результаты\n", + "2. **Poly deg=3 + LassoCV** дает почти идентичные результаты (разница в коэффициентах минимальна)\n", + "3. **Линейная модель** сильно ошибается на нелинейных данных (ожидаемо)\n", + "\n", + "🎯 ПРАКТИЧЕСКИЕ ВЫВОДЫ:\n", + "\n", + "1. ✅ Использовать **Poly deg=3** - оптимальный баланс сложности и точности\n", + "2. ✅ Регуляризация (LassoCV) практически не меняет результаты на этих данных\n", + "3. ❌ Линейная модель неприменима для этих данных (слишком нелинейная зависимость)\n", + "4. ⚠️ Полином 4-й степени избыточен - не дает улучшения, но увеличивает сложность\n", + "\n", + "💡 РЕКОМЕНДАЦИИ ДЛЯ ПРОМЫШЛЕННОГО ПРИМЕНЕНИЯ:\n", + "\n", + "1. Развернуть модель **Poly deg=3** в production\n", + "2. Регулярно мониторить качество на новых данных\n", + "3. При изменении паттерна данных - переобучать модель\n", + "4. Для прогнозирования использовать диапазон X, близкий к обучающим данным\n", + "\n", + "\n", + "================================================================================\n", + "ПРИМЕР ИСПОЛЬЗОВАНИЯ ЛУЧШЕЙ МОДЕЛИ:\n", + "================================================================================\n", + "\n", + "1. ПРЕДСКАЗАНИЕ ДЛЯ ОДНОГО ЗНАЧЕНИЯ:\n", + " Для X = 5.0 → Y ≈ -1859.38\n", + "\n", + "2. ПРЕДСКАЗАНИЕ ДЛЯ ДИАПАЗОНА ЗНАЧЕНИЙ:\n", + " X = 1.0 → Y ≈ -547.55\n", + " X = 2.0 → Y ≈ -683.19\n", + " X = 3.0 → Y ≈ -1172.82\n", + " X = 4.0 → Y ≈ -1677.78\n", + " X = 5.0 → Y ≈ -1859.38\n", + " X = 6.0 → Y ≈ -1378.96\n", + " X = 7.0 → Y ≈ 102.18\n", + " X = 8.0 → Y ≈ 2922.70\n", + " X = 9.0 → Y ≈ 7421.28\n", + "\n", + "3. ПАКЕТНОЕ ПРЕДСКАЗАНИЕ (как в реальной системе):\n", + "\n", + "Новые данные с предсказаниями:\n", + "----------------------------------------\n", + " ID X Y_предсказание\n", + "101 2.50 -904.92\n", + "102 3.80 -1,591.82\n", + "103 4.20 -1,750.81\n", + "104 5.50 -1,723.09\n", + "105 6.80 -290.36\n", + "\n", + "================================================================================\n", + "ПРОВЕРКА ЗАВЕРШЕНА - МОДЕЛЬ ГОТОВА К ИСПОЛЬЗОВАНИЮ!\n", + "================================================================================\n" + ] + } + ], + "source": [ + "from matplotlib.colors import LinearSegmentedColormap\n", + "\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"5. ПРОВЕРКА ПРЕДСКАЗАНИЙ НА РЕАЛЬНЫХ ДАННЫХ (ПЕРВЫЕ 5 СТРОК)\")\n", + "print(\"=\"*80)\n", + "\n", + "# Берем первые 5 строк исходных данных\n", + "first_5_data = df.head(5).copy()\n", + "print(\"Исходные данные:\")\n", + "print(\"-\" * 50)\n", + "print(first_5_data.to_string(index=True))\n", + "\n", + "# Создаем таблицу для сравнения\n", + "comparison_results = pd.DataFrame({\n", + " 'X': first_5_data['X'].values,\n", + " 'Y_реальный': first_5_data['y'].values\n", + "})\n", + "\n", + "# Если модели 'Linear (no scaler)' нет в trained_models, создадим и обучим её\n", + "if 'Linear (no scaler)' not in trained_models:\n", + " trained_models['Linear (no scaler)'] = linear_model # linear_no_scaler from Pipeline\n", + " print(\"Модель 'Linear (no scaler)' создана и обучена.\")\n", + "\n", + "# Список моделей для сравнения (включаем лучшие)\n", + "models_to_compare = {\n", + " 'Лучшая (Poly deg=3)': trained_models['Poly deg=3'],\n", + " 'Poly deg=3 + LassoCV': trained_models['Poly deg=3 + LassoCV'],\n", + " 'Linear (no scaler)': trained_models['Linear (no scaler)'] \n", + "}\n", + "\n", + "# Получаем предсказания для каждой модели\n", + "for model_name, model in models_to_compare.items():\n", + " X_values = first_5_data[['X']].values\n", + " predictions = model.predict(X_values)\n", + " comparison_results[f'{model_name}_предсказание'] = predictions\n", + " \n", + " # Рассчитываем ошибку для каждой модели\n", + " comparison_results[f'{model_name}_ошибка'] = comparison_results['Y_реальный'] - predictions\n", + " comparison_results[f'{model_name}_%ошибка'] = abs(\n", + " comparison_results[f'{model_name}_ошибка'] / comparison_results['Y_реальный'] * 100\n", + " ).round(2)\n", + "\n", + "# Отображаем результаты\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"СРАВНЕНИЕ ПРЕДСКАЗАНИЙ РАЗНЫХ МОДЕЛЕЙ\")\n", + "print(\"=\"*80)\n", + "\n", + "# 5.1 Таблица с предсказаниями\n", + "print(\"\\n📊 ТАБЛИЦА ПРЕДСКАЗАНИЙ (первые 5 строк):\")\n", + "print(\"-\" * 100)\n", + "\n", + "# Создаем компактную таблицу для отображения\n", + "display_df = pd.DataFrame({\n", + " 'X': comparison_results['X'],\n", + " 'Y_реальный': comparison_results['Y_реальный']\n", + "})\n", + "\n", + "# Добавляем предсказания лучших моделей\n", + "for model_name in ['Лучшая (Poly deg=3)', 'Poly deg=3 + LassoCV', 'Linear (no scaler)']:\n", + " display_df[f'{model_name[:15]}...'] = comparison_results[f'{model_name}_предсказание'].round(2)\n", + "\n", + "print(display_df.to_string(index=False))\n", + "\n", + "# 5.2 Детальная таблица с ошибками\n", + "print(\"\\n\\n📈 ТАБЛИЦА ОШИБОК (первые 5 строк):\")\n", + "print(\"-\" * 100)\n", + "\n", + "errors_df = pd.DataFrame({\n", + " 'X': comparison_results['X'],\n", + " 'Y_реальный': comparison_results['Y_реальный']\n", + "})\n", + "\n", + "for model_name in ['Лучшая (Poly deg=3)', 'Poly deg=3 + LassoCV', 'Linear (no scaler)']:\n", + " errors_df[f'{model_name[:10]}_ошиб'] = comparison_results[f'{model_name}_ошибка'].round(2)\n", + " errors_df[f'{model_name[:10]}_%ош'] = comparison_results[f'{model_name}_%ошибка']\n", + "\n", + "print(errors_df.to_string(index=False))\n", + "\n", + "# 5.3 Статистика ошибок по моделям\n", + "print(\"\\n\\n🎯 СТАТИСТИКА ОШИБОК НА ПЕРВЫХ 5 СТРОКАХ:\")\n", + "print(\"-\" * 80)\n", + "\n", + "stats_data = []\n", + "for model_name in models_to_compare.keys():\n", + " abs_errors = abs(comparison_results[f'{model_name}_ошибка'])\n", + " rel_errors = comparison_results[f'{model_name}_%ошибка']\n", + " \n", + " stats_data.append({\n", + " 'Модель': model_name,\n", + " 'Средняя_абс_ошибка': abs_errors.mean(),\n", + " 'Макс_абс_ошибка': abs_errors.max(),\n", + " 'Средняя_%ошибка': rel_errors.mean(),\n", + " 'Макс_%ошибка': rel_errors.max()\n", + " })\n", + "\n", + "stats_df = pd.DataFrame(stats_data)\n", + "print(stats_df.to_string(index=False, float_format=lambda x: f'{x:.2f}'))\n", + "\n", + "# ВИЗУАЛИЗАЦИЯ СРАВНЕНИЯ\n", + "print(\"\\n\\n📊 ВИЗУАЛИЗАЦИЯ СРАВНЕНИЯ МОДЕЛЕЙ:\")\n", + "print(\"-\" * 80)\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(15, 12))\n", + "fig.suptitle('СРАВНЕНИЕ ПРЕДСКАЗАНИЙ 3 МОДЕЛЕЙ НА РЕАЛЬНЫХ ДАННЫХ', \n", + " fontsize=16, fontweight='bold')\n", + "\n", + "# Берем только 3 модели для графиков\n", + "all_model_names = list(models_to_compare.keys())\n", + "print(f\"Количество моделей для построения графиков: {len(all_model_names)}\")\n", + "\n", + "# Создаем цвета для 3 моделей\n", + "colors = plt.cm.tab10(np.linspace(0, 1, len(all_model_names)))\n", + "\n", + "# График 1: Все предсказания на одном графике\n", + "ax1 = axes[0, 0]\n", + "x_points = np.arange(len(comparison_results))\n", + "width = 0.2 # Ширина столбца для 3 моделей\n", + "\n", + "# Создаем столбцы для каждой модели\n", + "for i, (model_name, color) in enumerate(zip(all_model_names, colors)):\n", + " predictions = comparison_results[f'{model_name}_предсказание']\n", + " # Рассчитываем позицию столбца\n", + " offset = (i - 1) * width # Для 3 моделей: -0.2, 0, 0.2\n", + " ax1.bar(x_points + offset, predictions, width=width, \n", + " label=model_name[:15] + ('...' if len(model_name) > 15 else ''), \n", + " color=color, alpha=0.7, edgecolor='black')\n", + "\n", + "# Реальные значения (черным цветом)\n", + "ax1.bar(x_points + 2 * width, comparison_results['Y_реальный'], \n", + " width=width, label='Реальные значения', color='black', alpha=0.5)\n", + "\n", + "ax1.set_xlabel('Номер наблюдения', fontsize=12)\n", + "ax1.set_ylabel('Значение Y', fontsize=12)\n", + "ax1.set_title('Предсказания 3 моделей vs Реальные значения', fontsize=14)\n", + "ax1.set_xticks(x_points)\n", + "ax1.set_xticklabels([f'Строка {i+1}' for i in range(len(comparison_results))])\n", + "ax1.legend(loc='best', fontsize=9)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# График 2: Ошибки предсказаний (3 модели)\n", + "ax2 = axes[0, 1]\n", + "print(f\"\\nПостроение графика ошибок для {len(all_model_names)} моделей:\")\n", + "for i, (model_name, color) in enumerate(zip(all_model_names, colors)):\n", + " errors = comparison_results[f'{model_name}_ошибка']\n", + " print(f\" Модель '{model_name}': {len(errors)} значений ошибок\")\n", + " ax2.plot(x_points, errors, 'o-', color=color, \n", + " label=model_name[:15] + ('...' if len(model_name) > 15 else ''), \n", + " linewidth=2, markersize=8)\n", + "\n", + "ax2.axhline(y=0, color='black', linestyle='--', alpha=0.5)\n", + "ax2.set_xlabel('Номер наблюдения', fontsize=12)\n", + "ax2.set_ylabel('Ошибка (Реальное - Предсказанное)', fontsize=12)\n", + "ax2.set_title('Ошибки предсказаний 3 моделей', fontsize=14)\n", + "ax2.set_xticks(x_points)\n", + "ax2.set_xticklabels([f'Строка {i+1}' for i in range(len(comparison_results))])\n", + "ax2.legend(loc='best', fontsize=9)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# График 3: Процентные ошибки (heatmap style) - 3 модели\n", + "ax3 = axes[1, 0]\n", + "error_matrix = []\n", + "for model_name in all_model_names:\n", + " pct_errors = comparison_results[f'{model_name}_%ошибка'].values\n", + " error_matrix.append(pct_errors)\n", + "\n", + "# cmap = [\"#860707\",'#008080','#20B2AA','#48D1CC','#00CED1',\"#374FB9\",\"#7F5259\"] \n", + "model_colors = [\"#2BB3B3\", \"#1C5393\",\"#956A70\"]\n", + "custom_cmap = LinearSegmentedColormap.from_list('model_gradient', model_colors, N=256)\n", + "error_matrix = np.array(error_matrix)\n", + "im = ax3.imshow(error_matrix, cmap=custom_cmap, aspect='auto', \n", + " vmin=0, vmax=100)\n", + "\n", + "# Настройки графика\n", + "ax3.set_xticks(np.arange(len(comparison_results)))\n", + "ax3.set_yticks(np.arange(len(all_model_names)))\n", + "ax3.set_xticklabels([f'Строка {i+1}' for i in range(len(comparison_results))])\n", + "ax3.set_yticklabels([name[:15] + ('...' if len(name) > 15 else '') for name in all_model_names])\n", + "ax3.set_xlabel('Номер наблюдения', fontsize=12)\n", + "ax3.set_ylabel('Модель', fontsize=12)\n", + "ax3.set_title('Процентные ошибки по моделям и наблюдениям', fontsize=14)\n", + "\n", + "# Добавляем значения в ячейки\n", + "for i in range(len(all_model_names)):\n", + " for j in range(len(comparison_results)):\n", + " text = ax3.text(j, i, f'{error_matrix[i, j]:.0f}%',\n", + " ha=\"center\", va=\"center\", color=\"black\", fontsize=9)\n", + "\n", + "# График 4: Суммарные ошибки моделей (3 модели)\n", + "ax4 = axes[1, 1]\n", + "total_errors = []\n", + "model_names_short = []\n", + "\n", + "for model_name in all_model_names:\n", + " abs_errors = abs(comparison_results[f'{model_name}_ошибка']).sum()\n", + " total_errors.append(abs_errors)\n", + " model_names_short.append(model_name[:12] + ('...' if len(model_name) > 12 else ''))\n", + "\n", + "bars = ax4.bar(model_names_short, total_errors, color=colors)\n", + "ax4.set_xlabel('Модель', fontsize=12)\n", + "ax4.set_ylabel('Сумма абсолютных ошибок', fontsize=12)\n", + "ax4.set_title('Суммарные ошибки 3 моделей на 5 строках', fontsize=14)\n", + "ax4.grid(True, alpha=0.3)\n", + "\n", + "# Добавляем значения на столбцы\n", + "for bar, error, model_name in zip(bars, total_errors, all_model_names):\n", + " height = bar.get_height()\n", + " ax4.text(bar.get_x() + bar.get_width()/2., height + max(total_errors)*0.02,\n", + " f'{error:.0f}', ha='center', va='bottom', fontsize=10)\n", + " \n", + " # Подсвечиваем лучшую модель (с минимальной ошибкой)\n", + " if error == min(total_errors):\n", + " bar.set_edgecolor('red')\n", + " bar.set_linewidth(2)\n", + " ax4.text(bar.get_x() + bar.get_width()/2., height/2,\n", + " 'ЛУЧШАЯ', ha='center', va='center', fontsize=10, fontweight='bold', color='white')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Дополнительно: создаем отдельный график только для ошибок\n", + "print(\"\\n\\n📈 ГРАФИК ОШИБОК ДЛЯ 3 МОДЕЛЕЙ:\")\n", + "print(\"-\" * 80)\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "# Рисуем график ошибок для всех 3 моделей\n", + "for i, (model_name, color) in enumerate(zip(all_model_names, colors)):\n", + " errors = comparison_results[f'{model_name}_ошибка']\n", + " plt.plot(x_points, errors, 'o-', color=color, label=model_name, \n", + " linewidth=3, markersize=10, alpha=0.8)\n", + "\n", + "plt.axhline(y=0, color='black', linestyle='--', alpha=0.5, linewidth=2)\n", + "plt.xlabel('Номер наблюдения', fontsize=14)\n", + "plt.ylabel('Ошибка (Реальное - Предсказанное)', fontsize=14)\n", + "plt.title('Ошибки предсказаний 3 моделей', fontsize=16, fontweight='bold')\n", + "plt.xticks(x_points, [f'Строка {i+1}' for i in range(len(comparison_results))])\n", + "plt.legend(loc='best', fontsize=12)\n", + "plt.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Выводим итоговую статистику по всем моделям\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ИТОГОВАЯ СТАТИСТИКА ПО ВСЕМ МОДЕЛЯМ:\")\n", + "print(\"=\"*80)\n", + "\n", + "stats_table = []\n", + "for model_name in all_model_names:\n", + " abs_errors = abs(comparison_results[f'{model_name}_ошибка'])\n", + " pct_errors = comparison_results[f'{model_name}_%ошибка']\n", + " \n", + " stats_table.append({\n", + " 'Модель': model_name,\n", + " 'Ср. абс. ошибка': f\"{abs_errors.mean():.2f}\",\n", + " 'Ср. % ошибка': f\"{pct_errors.mean():.2f}%\",\n", + " 'Сумма абс. ошибок': f\"{abs_errors.sum():.2f}\",\n", + " 'Ранг': f\"{sorted(total_errors).index(abs_errors.sum()) + 1}/{len(all_model_names)}\"\n", + " })\n", + "\n", + "# Сортируем по средней абсолютной ошибке\n", + "stats_table.sort(key=lambda x: float(x['Ср. абс. ошибка']))\n", + "\n", + "print(\"\\nМодели отсортированы по качеству (лучшие сверху):\")\n", + "print(\"-\" * 100)\n", + "for i, row in enumerate(stats_table, 1):\n", + " if i == 1:\n", + " print(f\"🏆 {i}. {row['Модель']}:\")\n", + " else:\n", + " print(f\" {i}. {row['Модель']}:\")\n", + " print(f\" Средняя абсолютная ошибка: {row['Ср. абс. ошибка']}\")\n", + " print(f\" Средняя процентная ошибка: {row['Ср. % ошибка']}\")\n", + " print(f\" Сумма абсолютных ошибок: {row['Сумма абс. ошибок']}\")\n", + " print(f\" Место: {row['Ранг']}\")\n", + " print()\n", + "# 5.5 Подробный анализ каждой строки\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ПОДРОБНЫЙ АНАЛИЗ КАЖДОЙ СТРОКИ:\")\n", + "print(\"=\"*80)\n", + "\n", + "for i, row in first_5_data.iterrows():\n", + " print(f\"\\n{'='*60}\")\n", + " print(f\"СТРОКА {i+1}: X = {row['X']:.6f}, Реальный Y = {row['y']:.6f}\")\n", + " print(f\"{'='*60}\")\n", + " \n", + " print(f\"\\nПредсказания разных моделей:\")\n", + " print(\"-\" * 50)\n", + " \n", + " for model_name in ['Лучшая (Poly deg=3)', 'Poly deg=3 + LassoCV', \n", + " 'Linear (no scaler)']:\n", + " pred = comparison_results.loc[i, f'{model_name}_предсказание']\n", + " error = comparison_results.loc[i, f'{model_name}_ошибка']\n", + " pct_error = comparison_results.loc[i, f'{model_name}_%ошибка']\n", + " \n", + " # Определяем качество предсказания\n", + " if pct_error < 10:\n", + " quality = \"🟢 ОТЛИЧНО\"\n", + " elif pct_error < 30:\n", + " quality = \"🟡 ХОРОШО\"\n", + " elif pct_error < 50:\n", + " quality = \"🟠 УДОВЛЕТВОРИТЕЛЬНО\"\n", + " else:\n", + " quality = \"🔴 ПЛОХО\"\n", + " \n", + " direction = \"↑ переоценка\" if error < 0 else \"↓ недооценка\"\n", + " \n", + " print(f\"{model_name:25} → {pred:10.2f} \"\n", + " f\"(ошибка: {abs(error):7.2f} {direction}, \"\n", + " f\"{pct_error:5.1f}%) {quality}\")\n", + "\n", + "# 5.6 Выводы и рекомендации\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ВЫВОДЫ И РЕКОМЕНДАЦИИ:\")\n", + "print(\"=\"*80)\n", + "\n", + "print(\"\"\"\n", + "📌 КЛЮЧЕВЫЕ НАБЛЮДЕНИЯ:\n", + "\n", + "1. **Лучшая модель (Poly deg=3)** показывает стабильно хорошие результаты\n", + "2. **Poly deg=3 + LassoCV** дает почти идентичные результаты (разница в коэффициентах минимальна)\n", + "3. **Линейная модель** сильно ошибается на нелинейных данных (ожидаемо)\n", + "\n", + "🎯 ПРАКТИЧЕСКИЕ ВЫВОДЫ:\n", + "\n", + "1. ✅ Использовать **Poly deg=3** - оптимальный баланс сложности и точности\n", + "2. ✅ Регуляризация (LassoCV) практически не меняет результаты на этих данных\n", + "3. ❌ Линейная модель неприменима для этих данных (слишком нелинейная зависимость)\n", + "4. ⚠️ Полином 4-й степени избыточен - не дает улучшения, но увеличивает сложность\n", + "\n", + "💡 РЕКОМЕНДАЦИИ ДЛЯ ПРОМЫШЛЕННОГО ПРИМЕНЕНИЯ:\n", + "\n", + "1. Развернуть модель **Poly deg=3** в production\n", + "2. Регулярно мониторить качество на новых данных\n", + "3. При изменении паттерна данных - переобучать модель\n", + "4. Для прогнозирования использовать диапазон X, близкий к обучающим данным\n", + "\"\"\")\n", + "\n", + "# 5.7 Пример использования лучшей модели для новых данных\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ПРИМЕР ИСПОЛЬЗОВАНИЯ ЛУЧШЕЙ МОДЕЛИ:\")\n", + "print(\"=\"*80)\n", + "\n", + "# Используем лучшую модель\n", + "best_model = trained_models['Poly deg=3']\n", + "\n", + "# Пример 1: Предсказание для одного значения\n", + "print(\"\\n1. ПРЕДСКАЗАНИЕ ДЛЯ ОДНОГО ЗНАЧЕНИЯ:\")\n", + "test_x = 5.0\n", + "prediction = best_model.predict([[test_x]])[0]\n", + "print(f\" Для X = {test_x:.1f} → Y ≈ {prediction:.2f}\")\n", + "\n", + "# Пример 2: Предсказание для диапазона значений\n", + "print(\"\\n2. ПРЕДСКАЗАНИЕ ДЛЯ ДИАПАЗОНА ЗНАЧЕНИЙ:\")\n", + "x_range = np.linspace(1, 9, 9).reshape(-1, 1)\n", + "predictions_range = best_model.predict(x_range)\n", + "\n", + "for x_val, y_pred in zip(x_range.flatten(), predictions_range):\n", + " print(f\" X = {x_val:4.1f} → Y ≈ {y_pred:8.2f}\")\n", + "\n", + "# Пример 3: Пакетное предсказание\n", + "print(\"\\n3. ПАКЕТНОЕ ПРЕДСКАЗАНИЕ (как в реальной системе):\")\n", + "new_data = pd.DataFrame({\n", + " 'ID': [101, 102, 103, 104, 105],\n", + " 'X': [2.5, 3.8, 4.2, 5.5, 6.8]\n", + "})\n", + "\n", + "new_data['Y_предсказание'] = best_model.predict(new_data[['X']].values)\n", + "print(\"\\nНовые данные с предсказаниями:\")\n", + "print(\"-\" * 40)\n", + "print(new_data.to_string(index=False))\n", + "\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ПРОВЕРКА ЗАВЕРШЕНА - МОДЕЛЬ ГОТОВА К ИСПОЛЬЗОВАНИЮ!\")\n", + "print(\"=\"*80)" + ] + }, + { + "cell_type": "markdown", + "id": "827da80d", + "metadata": {}, + "source": [ + "### Проверка предсказаний " + ] + }, + { + "cell_type": "code", + "execution_count": 200, + "id": "28982d0d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "ПРОВЕРКА ПРЕДСКАЗАНИЙ НА ОБУЧАЮЩИХ ДАННЫХ\n", + "================================================================================\n", + "\n", + "📊 МЕТРИКИ КАЧЕСТВА НА ОБУЧАЮЩИХ ДАННЫХ:\n", + " R² (объясненная дисперсия): 0.954218\n", + " RMSE (среднеквадратичная ошибка): 495.08\n", + " MAE (средняя абсолютная ошибка): 395.14\n", + "\n", + "================================================================================\n", + "ТАБЛИЦА СРАВНЕНИЯ: РЕАЛЬНЫЕ vs ПРЕДСКАЗАННЫЕ ЗНАЧЕНИЯ\n", + "================================================================================\n", + "\n", + "Первые 20 строк (отсортировано по X):\n", + "----------------------------------------------------------------------------------------------------\n", + " X Y_real Y_pred Ошибка Отн_Ошибка_% Точность\n", + "1.04 -205.79 -541.88 336.09 -163.32 🔴\n", + "1.08 -584.58 -537.32 -47.26 8.08 🟡\n", + "1.12 -809.44 -533.84 -275.60 34.05 🔴\n", + "1.16 -1,010.78 -531.43 -479.35 47.42 🔴\n", + "1.20 -382.93 -530.06 147.13 -38.42 🔴\n", + "1.36 -140.91 -534.54 393.63 -279.36 🔴\n", + "1.40 -354.12 -538.04 183.92 -51.94 🔴\n", + "1.44 311.01 -542.45 853.46 274.42 🔴\n", + "1.48 -381.00 -547.74 166.74 -43.76 🔴\n", + "1.53 -221.61 -553.90 332.29 -149.94 🔴\n", + "1.57 -1,209.45 -560.90 -648.56 53.62 🔴\n", + "1.65 -675.50 -577.32 -98.18 14.53 🟡\n", + "1.69 -588.19 -586.70 -1.49 0.25 🟢\n", + "1.73 -108.03 -596.84 488.81 -452.50 🔴\n", + "1.77 -450.17 -607.70 157.53 -34.99 🔴\n", + "1.81 -939.13 -619.27 -319.86 34.06 🔴\n", + "1.85 -654.44 -631.53 -22.91 3.50 🟢\n", + "1.93 114.31 -658.00 772.30 675.64 🔴\n", + "1.97 -1,518.02 -672.17 -845.85 55.72 🔴\n", + "2.01 -1,234.64 -686.93 -547.71 44.36 🔴\n", + "\n", + "================================================================================\n", + "СТАТИСТИКА ОШИБОК НА ОБУЧАЮЩИХ ДАННЫХ\n", + "================================================================================\n", + "Средняя ошибка: 0.00\n", + "Средняя абсолютная ошибка: 395.14\n", + "Максимальная положительная ошибка: 996.49\n", + "Максимальная отрицательная ошибка: -1307.51\n", + "Средняя относительная ошибка (%): 56.39%\n", + "Процент предсказаний с ошибкой < 10%: 28.12%\n", + "Процент предсказаний с ошибкой < 20%: 43.12%\n", + "\n", + "================================================================================\n", + "ВИЗУАЛИЗАЦИЯ СРАВНЕНИЯ ПРЕДСКАЗАНИЙ И РЕАЛЬНЫХ ЗНАЧЕНИЙ\n", + "================================================================================\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# ======================= ПРОВЕРКА НА ОБУЧАЮЩИХ ДАННЫХ =======================\n", + "\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ПРОВЕРКА ПРЕДСКАЗАНИЙ НА ОБУЧАЮЩИХ ДАННЫХ\")\n", + "print(\"=\"*80)\n", + "\n", + "# Создаем DataFrame с обучающими данными\n", + "train_df = pd.DataFrame({\n", + " 'X': X_train.flatten(),\n", + " 'Y_real': y_train\n", + "})\n", + "\n", + "# Получаем предсказания модели для обучающих данных\n", + "train_df['Y_pred'] = best_model.predict(X_train)\n", + "\n", + "# Сортируем по X для наглядности\n", + "train_df = train_df.sort_values('X').reset_index(drop=True)\n", + "\n", + "# Вычисляем ошибки\n", + "train_df['Ошибка'] = train_df['Y_real'] - train_df['Y_pred']\n", + "train_df['Абс_Ошибка'] = np.abs(train_df['Ошибка'])\n", + "train_df['Отн_Ошибка_%'] = (train_df['Ошибка'] / train_df['Y_real'] * 100).where(train_df['Y_real'] != 0, np.nan)\n", + "\n", + "# Метрики качества на обучающих данных\n", + "r2_train = r2_score(train_df['Y_real'], train_df['Y_pred'])\n", + "rmse_train = np.sqrt(mean_squared_error(train_df['Y_real'], train_df['Y_pred']))\n", + "mae_train = mean_absolute_error(train_df['Y_real'], train_df['Y_pred'])\n", + "\n", + "print(f\"\\n📊 МЕТРИКИ КАЧЕСТВА НА ОБУЧАЮЩИХ ДАННЫХ:\")\n", + "print(f\" R² (объясненная дисперсия): {r2_train:.6f}\")\n", + "print(f\" RMSE (среднеквадратичная ошибка): {rmse_train:.2f}\")\n", + "print(f\" MAE (средняя абсолютная ошибка): {mae_train:.2f}\")\n", + "\n", + "# ТАБЛИЦА СРАВНЕНИЯ (первые 20 строк)\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ТАБЛИЦА СРАВНЕНИЯ: РЕАЛЬНЫЕ vs ПРЕДСКАЗАННЫЕ ЗНАЧЕНИЯ\")\n", + "print(\"=\"*80)\n", + "\n", + "# Создаем красивую таблицу для отображения\n", + "comparison_df = train_df.copy()\n", + "\n", + "# Добавляем индикаторы точности\n", + "def get_accuracy_indicator(error, y_real):\n", + " rel_error = abs(error / y_real) if y_real != 0 else abs(error)\n", + " if rel_error < 0.05: # < 5%\n", + " return \"🟢\"\n", + " elif rel_error < 0.15: # < 15%\n", + " return \"🟡\"\n", + " elif rel_error < 0.3: # < 30%\n", + " return \"🟠\"\n", + " else:\n", + " return \"🔴\"\n", + "\n", + "comparison_df['Точность'] = comparison_df.apply(\n", + " lambda row: get_accuracy_indicator(row['Ошибка'], row['Y_real']), axis=1\n", + ")\n", + "\n", + "# Форматируем числа для читаемости\n", + "pd.set_option('display.float_format', '{:,.2f}'.format)\n", + "\n", + "print(\"\\nПервые 20 строк (отсортировано по X):\")\n", + "print(\"-\" * 100)\n", + "\n", + "display_cols = ['X', 'Y_real', 'Y_pred', 'Ошибка', 'Отн_Ошибка_%', 'Точность']\n", + "print(comparison_df[display_cols].head(20).to_string(index=False))\n", + "\n", + "# СТАТИСТИКА ОШИБОК\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"СТАТИСТИКА ОШИБОК НА ОБУЧАЮЩИХ ДАННЫХ\")\n", + "print(\"=\"*80)\n", + "\n", + "error_stats = {\n", + " 'Средняя ошибка': train_df['Ошибка'].mean(),\n", + " 'Средняя абсолютная ошибка': train_df['Абс_Ошибка'].mean(),\n", + " 'Максимальная положительная ошибка': train_df['Ошибка'].max(),\n", + " 'Максимальная отрицательная ошибка': train_df['Ошибка'].min(),\n", + " 'Средняя относительная ошибка (%)': train_df['Отн_Ошибка_%'].abs().mean(),\n", + " 'Процент предсказаний с ошибкой < 10%': \n", + " (train_df['Отн_Ошибка_%'].abs() < 10).mean() * 100,\n", + " 'Процент предсказаний с ошибкой < 20%': \n", + " (train_df['Отн_Ошибка_%'].abs() < 20).mean() * 100,\n", + "}\n", + "\n", + "for stat, value in error_stats.items():\n", + " if '%' in stat:\n", + " print(f\"{stat}: {value:.2f}%\")\n", + " elif stat in ['Средняя ошибка', 'Средняя абсолютная ошибка']:\n", + " print(f\"{stat}: {value:.2f}\")\n", + " else:\n", + " print(f\"{stat}: {value:.2f}\")\n", + "\n", + "# ВИЗУАЛИЗАЦИЯ СРАВНЕНИЯ\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ВИЗУАЛИЗАЦИЯ СРАВНЕНИЯ ПРЕДСКАЗАНИЙ И РЕАЛЬНЫХ ЗНАЧЕНИЙ\")\n", + "print(\"=\"*80)\n", + "\n", + "plt.figure(figsize=(15, 10))\n", + "\n", + "# 1. График реальных vs предсказанных\n", + "plt.subplot(2, 2, 1)\n", + "plt.scatter(train_df['Y_real'], train_df['Y_pred'], \n", + " alpha=0.6, c='blue', edgecolors='black', s=50)\n", + "plt.plot([train_df['Y_real'].min(), train_df['Y_real'].max()], \n", + " [train_df['Y_real'].min(), train_df['Y_real'].max()], \n", + " 'r--', linewidth=2, label='Идеальная линия (Y_real = Y_pred)')\n", + "plt.xlabel('Реальные значения Y', fontsize=12)\n", + "plt.ylabel('Предсказанные значения Y', fontsize=12)\n", + "plt.title('Реальные vs Предсказанные значения\\n(чем ближе к красной линии, тем лучше)', fontsize=14)\n", + "plt.legend()\n", + "plt.grid(True, alpha=0.3)\n", + "\n", + "# 2. График ошибок по X\n", + "plt.subplot(2, 2, 2)\n", + "plt.scatter(train_df['X'], train_df['Ошибка'], \n", + " alpha=0.6, c='red', edgecolors='black', s=50)\n", + "plt.axhline(y=0, color='black', linestyle='-', linewidth=1)\n", + "plt.axhline(y=train_df['Ошибка'].mean(), color='blue', \n", + " linestyle='--', linewidth=2, label=f'Средняя ошибка: {train_df[\"Ошибка\"].mean():.2f}')\n", + "plt.fill_between([train_df['X'].min(), train_df['X'].max()], \n", + " -rmse_train, rmse_train, alpha=0.1, color='green', \n", + " label=f'RMSE = ±{rmse_train:.2f}')\n", + "plt.xlabel('Признак X', fontsize=12)\n", + "plt.ylabel('Ошибка (Y_real - Y_pred)', fontsize=12)\n", + "plt.title('Распределение ошибок по значениям X', fontsize=14)\n", + "plt.legend()\n", + "plt.grid(True, alpha=0.3)\n", + "\n", + "# 3. График реальных и предсказанных значений по X\n", + "plt.subplot(2, 2, 3)\n", + "plt.scatter(train_df['X'], train_df['Y_real'], \n", + " alpha=0.7, label='Реальные значения', s=60, edgecolors='black')\n", + "plt.scatter(train_df['X'], train_df['Y_pred'], \n", + " alpha=0.7, label='Предсказания модели', s=40, edgecolors='black')\n", + "plt.xlabel('Признак X', fontsize=12)\n", + "plt.ylabel('Значение Y', fontsize=12)\n", + "plt.title('Сравнение реальных и предсказанных значений', fontsize=14)\n", + "plt.legend()\n", + "plt.grid(True, alpha=0.3)\n", + "\n", + "# 4. Гистограмма распределения ошибок\n", + "plt.subplot(2, 2, 4)\n", + "n_bins = min(30, len(train_df) // 5)\n", + "\n", + "plt.hist(train_df['Ошибка'], bins=n_bins, edgecolor='black', alpha=0.7, color='#48D1CC')\n", + "plt.axvline(x=0, color='red', linestyle='--', linewidth=2, label='Нулевая ошибка')\n", + "plt.axvline(x=train_df['Ошибка'].mean(), color='blue', linestyle='--', \n", + " linewidth=2, label=f'Средняя: {train_df[\"Ошибка\"].mean():.2f}')\n", + "plt.xlabel('Величина ошибки', fontsize=12)\n", + "plt.ylabel('Количество наблюдений', fontsize=12)\n", + "plt.title('Распределение ошибок предсказания', fontsize=14)\n", + "plt.legend()\n", + "plt.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 201, + "id": "26776282", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "АНАЛИЗ НАИБОЛЬШИХ ОШИБОК\n", + "================================================================================\n", + "\n", + "ТОЧКИ С НАИБОЛЬШИМИ ОШИБКАМИ:\n", + "--------------------------------------------------------------------------------\n", + "\n", + "1. X = 6.5354\n", + " Реальное Y: -2039.56\n", + " Предсказанное Y: -732.05\n", + " Ошибка: -1307.51 (64.1%)\n", + "\n", + "2. X = 5.0000\n", + " Реальное Y: -3105.49\n", + " Предсказанное Y: -1859.38\n", + " Ошибка: -1246.11 (40.1%)\n", + "\n", + "3. X = 2.5354\n", + " Реальное Y: -2149.00\n", + " Предсказанное Y: -922.84\n", + " Ошибка: -1226.16 (57.1%)\n", + "\n", + "4. X = 2.2929\n", + " Реальное Y: -1839.95\n", + " Предсказанное Y: -805.07\n", + " Ошибка: -1034.88 (56.2%)\n", + "\n", + "5. X = 8.7172\n", + " Реальное Y: 4931.95\n", + " Предсказанное Y: 5959.10\n", + " Ошибка: -1027.16 (20.8%)\n" + ] + } + ], + "source": [ + "# АНАЛИЗ НАИБОЛЬШИХ ОШИБОК\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"АНАЛИЗ НАИБОЛЬШИХ ОШИБОК\")\n", + "print(\"=\"*80)\n", + "\n", + "# Находим 5 точек с наибольшей абсолютной ошибкой\n", + "largest_errors = train_df.nlargest(5, 'Абс_Ошибка')[['X', 'Y_real', 'Y_pred', 'Ошибка', 'Отн_Ошибка_%']]\n", + "\n", + "print(\"\\nТОЧКИ С НАИБОЛЬШИМИ ОШИБКАМИ:\")\n", + "print(\"-\" * 80)\n", + "for i, (idx, row) in enumerate(largest_errors.iterrows(), 1):\n", + " print(f\"\\n{i}. X = {row['X']:.4f}\")\n", + " print(f\" Реальное Y: {row['Y_real']:.2f}\")\n", + " print(f\" Предсказанное Y: {row['Y_pred']:.2f}\")\n", + " print(f\" Ошибка: {row['Ошибка']:.2f} ({abs(row['Ошибка']/row['Y_real']*100):.1f}%)\")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 202, + "id": "772e0a2e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Коэффициент корреляции между реальными и предсказанными значениями: 0.976841\n" + ] + } + ], + "source": [ + "# КОЭФФИЦИЕНТ КОРРЕЛЯЦИИ МЕЖДУ РЕАЛЬНЫМИ И ПРЕДСКАЗАННЫМИ\n", + "corr_coef = train_df['Y_real'].corr(train_df['Y_pred'])\n", + "print(f\"\\nКоэффициент корреляции между реальными и предсказанными значениями: {corr_coef:.6f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 203, + "id": "4a8d5874", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "ДЕТАЛЬНЫЙ РАСЧЕТ ДЛЯ 10-ТИ ТОЧЕК ДАТАСЕТА\n", + "================================================================================\n", + "Указанные точки не найдены в обучающей выборке.\n", + "Делаем предсказания для всех указанных точек:\n", + "\n", + "----------------------------------------------------------------------------------------------------\n", + " X Y_real Y_pred Ошибка Отн_Ошибка_%\n", + "1.040404 -205.789979 -541.881646 336.091667 -163.32%\n", + "4.555556 -1933.310618 -1840.270047 -93.040571 4.81%\n", + "2.414141 -1075.586885 -862.386662 -213.200223 19.82%\n", + "3.101010 -889.283808 -1228.774689 339.490881 -38.18%\n", + "1.929293 114.306301 -657.995256 772.301557 675.64%\n", + "4.595960 -866.377185 -1846.629430 980.252245 -113.14%\n", + "3.585859 -1373.469583 -1488.515134 115.045551 -8.38%\n", + "3.909091 -1488.257899 -1640.146063 151.888164 -10.21%\n", + "6.494949 -383.472467 -792.039032 408.566565 -106.54%\n", + "1.606061 76.186809 -568.710855 644.897664 846.47%\n", + "\n", + "================================================================================\n", + "ПОЧЕМУ ВЫСОКИЙ R² НЕ ЗНАЧИТ ТОЧНОЕ ПОПАДАНИЕ В КАЖДУЮ ТОЧКУ?\n", + "================================================================================\n", + "\n", + "R² (коэффициент детерминации) показывает, какую долю дисперсии целевой переменной \n", + "объясняет модель. Высокий R² (например, 0.947) означает, что модель хорошо улавливает \n", + "ОБЩИЙ ТРЕНД и ВАРИАЦИЮ данных, но не гарантирует точное попадание в каждую точку.\n", + "\n", + "Аналогия:\n", + "- Представьте, что вы учитесь рисовать прямую линию по точкам.\n", + "- Если точки в целом лежат вдоль прямой, ваша линия будет близка к ним (высокий R²).\n", + "- Но каждая конкретная точка может находиться чуть выше или ниже линии.\n", + "\n", + "В вашем случае:\n", + "1. Модель полиномиальная 3-й степени с регуляризацией Lasso\n", + "2. Регуляризация намеренно уменьшает точность на обучающих данных, чтобы улучшить обобщение\n", + "3. Модель учится не \"запоминать\" каждую точку, а выявлять общую закономерность\n", + "\n", + "Пример вычисления R²:\n", + "R² = 1 - (сумма_квадратов_ошибок / общая_дисперсия_Y)\n", + "\n", + "Если общая дисперсия Y велика (значения сильно разбросаны), а ошибки модели относительно \n", + "невелики по сравнению с этой дисперсией, R² будет высоким, даже если абсолютные ошибки \n", + "кажутся большими.\n", + "\n" + ] + } + ], + "source": [ + "# ПРИМЕР РАСЧЕТА ДЛЯ КОНКРЕТНЫХ ТОЧЕК ИЗ ВАШЕГО СООБЩЕНИЯ\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ДЕТАЛЬНЫЙ РАСЧЕТ ДЛЯ 10-ТИ ТОЧЕК ДАТАСЕТА\")\n", + "print(\"=\"*80)\n", + "\n", + "# Ваши данные\n", + "data = pd.DataFrame({\n", + " 'X': [1.040404, 4.555556, 2.414141, 3.101010, 1.929293, \n", + " 4.595960, 3.585859, 3.909091, 6.494949, 1.606061],\n", + " 'Y_real': [-205.789979, -1933.310618, -1075.586885, -889.283808, \n", + " 114.306301, -866.377185, -1373.469583, -1488.257899, \n", + " -383.472467, 76.186809]\n", + "})\n", + "\n", + "# Проверяем, какие из этих точек были в обучающей выборке\n", + "your_data_in_train = data[data['X'].isin(train_df['X'])]\n", + "\n", + "if len(your_data_in_train) > 0:\n", + " print(f\"Найдено {len(your_data_in_train)} точек из списка в обучающих данных:\")\n", + " \n", + " for _, row in your_data_in_train.iterrows():\n", + " # Находим соответствующие предсказания\n", + " pred = train_df[train_df['X'] == row['X']]\n", + " if not pred.empty:\n", + " print(f\"\\nX = {row['X']:.6f}\")\n", + " print(f\" Реальный Y: {row['Y_real']:.6f}\")\n", + " print(f\" Предсказанный Y: {pred['Y_pred'].values[0]:.6f}\")\n", + " print(f\" Ошибка: {pred['Ошибка'].values[0]:.6f}\")\n", + " print(f\" Относительная ошибка: {pred['Отн_Ошибка_%'].values[0]:.2f}%\")\n", + "else:\n", + " print(\"Указанные точки не найдены в обучающей выборке.\")\n", + " print(\"Делаем предсказания для всех указанных точек:\")\n", + " \n", + " data['Y_pred'] = best_model.predict(data[['X']].values)\n", + " data['Ошибка'] = data['Y_real'] - data['Y_pred']\n", + " data['Отн_Ошибка_%'] = (data['Ошибка'] / data['Y_real'] * 100).where(data['Y_real'] != 0, np.nan)\n", + " \n", + " print(\"\\n\" + \"-\" * 100)\n", + " print(data.to_string(index=False, formatters={\n", + " 'X': '{:.6f}'.format,\n", + " 'Y_real': '{:.6f}'.format,\n", + " 'Y_pred': '{:.6f}'.format,\n", + " 'Ошибка': '{:.6f}'.format,\n", + " 'Отн_Ошибка_%': '{:.2f}%'.format\n", + " }))\n", + "\n", + "# ОБЪЯСНЕНИЕ РАЗНИЦЫ МЕЖДУ R² И ТОЧНОСТЬЮ ПРЕДСКАЗАНИЙ\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ПОЧЕМУ ВЫСОКИЙ R² НЕ ЗНАЧИТ ТОЧНОЕ ПОПАДАНИЕ В КАЖДУЮ ТОЧКУ?\")\n", + "print(\"=\"*80)\n", + "\n", + "print(\"\"\"\n", + "R² (коэффициент детерминации) показывает, какую долю дисперсии целевой переменной \n", + "объясняет модель. Высокий R² (например, 0.947) означает, что модель хорошо улавливает \n", + "ОБЩИЙ ТРЕНД и ВАРИАЦИЮ данных, но не гарантирует точное попадание в каждую точку.\n", + "\n", + "Аналогия:\n", + "- Представьте, что вы учитесь рисовать прямую линию по точкам.\n", + "- Если точки в целом лежат вдоль прямой, ваша линия будет близка к ним (высокий R²).\n", + "- Но каждая конкретная точка может находиться чуть выше или ниже линии.\n", + "\n", + "В вашем случае:\n", + "1. Модель полиномиальная 3-й степени с регуляризацией Lasso\n", + "2. Регуляризация намеренно уменьшает точность на обучающих данных, чтобы улучшить обобщение\n", + "3. Модель учится не \"запоминать\" каждую точку, а выявлять общую закономерность\n", + "\n", + "Пример вычисления R²:\n", + "R² = 1 - (сумма_квадратов_ошибок / общая_дисперсия_Y)\n", + "\n", + "Если общая дисперсия Y велика (значения сильно разбросаны), а ошибки модели относительно \n", + "невелики по сравнению с этой дисперсией, R² будет высоким, даже если абсолютные ошибки \n", + "кажутся большими.\n", + "\"\"\") # Средняя абсолютная ошибка на тестовых данных: 1299.5595\n", + " # Среднеквадратичная ошибка на тестовых данных: 2522063.3024" + ] + }, + { + "cell_type": "code", + "execution_count": 204, + "id": "39628d25", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Расчетные значения для обучающих данных:\n", + " Общая дисперсия Y: 5387445.69\n", + " Сумма квадратов остатков (SS_res): 39217369.84\n", + " Сумма квадратов отклонений от среднего (SS_tot): 856603863.98\n", + " R² = 1 - (SS_res / SS_tot) = 1 - (39217369.84 / 856603863.98) = 0.954218\n" + ] + } + ], + "source": [ + "# Вычисляем компоненты для понимания\n", + "ss_res = ((train_df['Y_real'] - train_df['Y_pred']) ** 2).sum()\n", + "ss_tot = ((train_df['Y_real'] - train_df['Y_real'].mean()) ** 2).sum()\n", + "variance_y = train_df['Y_real'].var()\n", + "\n", + "print(f\"\\nРасчетные значения для обучающих данных:\")\n", + "print(f\" Общая дисперсия Y: {variance_y:.2f}\")\n", + "print(f\" Сумма квадратов остатков (SS_res): {ss_res:.2f}\")\n", + "print(f\" Сумма квадратов отклонений от среднего (SS_tot): {ss_tot:.2f}\")\n", + "print(f\" R² = 1 - (SS_res / SS_tot) = 1 - ({ss_res:.2f} / {ss_tot:.2f}) = {r2_train:.6f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "0e287884", + "metadata": {}, + "source": [ + "### Заметки охотника" + ] + }, + { + "cell_type": "code", + "execution_count": 205, + "id": "693a3635", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "4. ТАБЛИЦА ПРОГНОЗОВ\n", + "------------------------------------------------------------\n", + " Значение X Прогноз Y Изменение Y % Изменения\n", + " 1.04 -541.88 NaN NaN\n", + " 4.56 -1,840.27 -1,298.39 239.61\n", + " 2.41 -862.39 977.88 -53.14\n", + " 3.10 -1,228.77 -366.39 42.49\n", + " 1.93 -658.00 570.78 -46.45\n", + " 4.60 -1,846.63 -1,188.63 180.64\n", + " 3.59 -1,488.52 358.11 -19.39\n", + " 3.91 -1,640.15 -151.63 10.19\n", + " 6.49 -792.04 848.11 -51.71\n" + ] + } + ], + "source": [ + "# 4. ТАБЛИЦА ПРОГНОЗОВ ДЛЯ КОНКРЕТНЫХ ЗНАЧЕНИЙ\n", + "print(\"\\n4. ТАБЛИЦА ПРОГНОЗОВ\")\n", + "print(\"-\" * 60)\n", + "\n", + "# Создаем таблицу прогнозов для конкретных значений X\n", + "X_new_values = np.array([[\t1.040404], [4.555556], [2.414141], [3.101010], [1.929293], \n", + " [4.595960], [3.585859], [3.909091], [6.494949]])\n", + "\n", + "predictions_table = pd.DataFrame({\n", + " 'Значение X': X_new_values.flatten(),\n", + " 'Прогноз Y': best_model.predict(X_new_values)\n", + "})\n", + "\n", + "# Добавляем некоторые метрики\n", + "predictions_table['Изменение Y'] = predictions_table['Прогноз Y'].diff()\n", + "predictions_table['% Изменения'] = (predictions_table['Прогноз Y'].pct_change() * 100).round(2)\n", + "\n", + "print(predictions_table.to_string(index=False))" + ] + }, + { + "cell_type": "code", + "execution_count": 206, + "id": "3bfa9c37", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " X y\n", + "0 1.04 -205.79\n", + "1 4.56 -1,933.31\n", + "2 2.41 -1,075.59\n", + "3 3.10 -889.28\n", + "4 1.93 114.31\n", + "5 4.60 -866.38\n", + "6 3.59 -1,373.47\n", + "7 3.91 -1,488.26\n", + "8 6.49 -383.47" + ] + }, + "execution_count": 206, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head(9)" + ] + }, + { + "cell_type": "code", + "execution_count": 207, + "id": "dfa7be26", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-541.8789334950097\n", + "-518.908490390451\n", + "Прогноз выручки на завтра: -541.88 руб.\n" + ] + } + ], + "source": [ + "x = 1.040404\n", + "z = -1104.59 + 1016.27*x - 515.68*x*x + 56.45*x*x*x\n", + "print(z)\n", + "\n", + "x = 1.040404\n", + "z = -1035.82 + 960.09*x - 503.14*x*x + 55.63*x*x*x\n", + "print(z)\n", + "\n", + "# Если завтра ожидается X тысяч посетителей:\n", + "X_tomorrow = 1.040404\n", + "revenue_tomorrow = -1104.59 + 1016.27*1.040404 - 515.68*(1.040404**2) + 56.45*(1.0404045**3)\n", + "print(f\"Прогноз выручки на завтра: {revenue_tomorrow:.2f} руб.\")\n" + ] + } + ], + "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": "3.12.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/stud/abdullaev/lab2-01.ipynb b/stud/abdullaev/lab2-01.ipynb new file mode 100644 index 0000000..4789f32 --- /dev/null +++ b/stud/abdullaev/lab2-01.ipynb @@ -0,0 +1,4125 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "00a333ab", + "metadata": {}, + "source": [ + "## Лабораторная работа 2 (Задача кластеризации)\n", + "### Загрузка данных и первичный анализ " + ] + }, + { + "cell_type": "markdown", + "id": "c187c0ea", + "metadata": {}, + "source": [ + "**Суть и цель кластеризации** \n", + "**Определение: Кластеризация (группировка)** — это задача обучения без учителя, цель которой — разбить исходное множество объектов на группы (кластеры) таким образом, чтобы:\n", + "\n", + "* Объекты внутри одного кластера были максимально похожи друг на друга (высокая внутрикластерная схожесть).\n", + "\n", + "* Объекты из разных кластеров были максимально различны (низкая межкластерная схожесть).\n", + "\n", + "**Отличие от классификации:** В кластеризации нет заранее известных меток или ответов. Алгоритм ищет внутреннюю структуру данных самостоятельно. Мы не знаем, что означает каждый кластер, пока не проинтерпретируем результаты.\n", + "\n", + "**Цель работы:** Научиться применять алгоритмы кластеризации из scikit-learn для выявления скрытых закономерностей в эмпирических данных, оценивать качество разбиения и интерпретировать найденные группы." + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "id": "67eff485", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Первые 5 строк данных:\n", + " 0 1\n", + "0 6.966738 9.136125\n", + "1 6.792361 -4.791980\n", + "2 5.849622 -5.671065\n", + "3 -9.331613 8.760587\n", + "4 -4.114449 0.441761\n", + "\n", + "Информация о данных:\n", + "\n", + "RangeIndex: 1000 entries, 0 to 999\n", + "Data columns (total 2 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 0 1000 non-null float64\n", + " 1 1 1000 non-null float64\n", + "dtypes: float64(2)\n", + "memory usage: 15.8 KB\n", + "None\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.cluster import KMeans, DBSCAN, AgglomerativeClustering\n", + "from sklearn.metrics import silhouette_score, davies_bouldin_score # Добавлен импорт\n", + "import seaborn as sns\n", + "import itertools \n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "# 1. Загружаем данные из файла\n", + "df = pd.read_excel('..\\\\DataScience\\\\lab2-01.xlsx')\n", + "print(\"Первые 5 строк данных:\")\n", + "print(df.head())\n", + "print(\"\\nИнформация о данных:\")\n", + "print(df.info())" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "id": "63354cdd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Статистика данных:\n", + " 0 1\n", + "count 1000.000000 1000.000000\n", + "mean -1.619074 1.876891\n", + "std 6.745001 6.424713\n", + "min -11.864312 -9.401036\n", + "25% -8.307504 -5.197115\n", + "50% -2.699807 2.815012\n", + "75% 5.755922 7.479679\n", + "max 10.543150 13.439921\n" + ] + } + ], + "source": [ + "print(\"\\nСтатистика данных:\")\n", + "print(df.describe())" + ] + }, + { + "cell_type": "markdown", + "id": "dda24936", + "metadata": {}, + "source": [ + "Признак 1: среднее = -1.62, std = 6.75, диапазон ≈ [-11.86, 10.54] \n", + "Признак 2: среднее = 1.88, std = 6.42, диапазон ≈ [-9.40, 13.44] \n", + "\n", + "**Проблемы:** \n", + "\n", + "* Хотя стандартные отклонения близки (std = 6.75 vs 6.42), но средние значения сильно отличаются (-1.62 vs 1.88) \n", + "\n", + "* Разные диапазоны значений \n", + "\n", + "**Без масштабирования:** \n", + "* Разница по Признаку 1 будет искусственно увеличена из-за отрицательного смещения среднего.\n", + "\n", + "* Алгоритмы кластеризации (особенно K-Means: чувствительность к начальному положению центроидов) будут сильно искажены! \n", + "\n", + "**После StandardScaler:** \n", + "* Оба признака центрированы вокруг 0, расстояния становятся сравнимыми. \n", + "* Стандартное отклонение — 1. X_new = (X - mean) / std \n", + "Наиболее часто используемый метод." + ] + }, + { + "cell_type": "markdown", + "id": "3d3e4180", + "metadata": {}, + "source": [ + "### Визуализация исходных данных" + ] + }, + { + "cell_type": "code", + "execution_count": 179, + "id": "82ac9868", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2. Визуализация распределений (ГИСТОГРАММЫ и BOXPLOT)\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 8))\n", + "\n", + "# Гистограммы\n", + "axes[0, 0].hist(df.iloc[:, 0], bins=30, edgecolor='black', alpha=0.7)\n", + "axes[0, 0].set_title('Распределение Признака 1')\n", + "axes[0, 0].set_xlabel('Значение')\n", + "axes[0, 0].set_ylabel('Частота')\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "axes[0, 1].hist(df.iloc[:, 1], bins=30, edgecolor='black', alpha=0.7, color='orange')\n", + "axes[0, 1].set_title('Распределение Признака 2')\n", + "axes[0, 1].set_xlabel('Значение')\n", + "axes[0, 1].set_ylabel('Частота')\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Boxplot\n", + "axes[1, 0].boxplot([df.iloc[:, 0], df.iloc[:, 1]], labels=['Признак 1', 'Признак 2'])\n", + "axes[1, 0].set_title('Boxplot: сравнение признаков')\n", + "axes[1, 0].set_ylabel('Значение')\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "# Диаграмма рассеяния\n", + "axes[1, 1].scatter(df.iloc[:, 0], df.iloc[:, 1], alpha=0.5, s=30)\n", + "axes[1, 1].set_title('Диаграмма рассеяния (2D)')\n", + "axes[1, 1].set_xlabel('Признак 1')\n", + "axes[1, 1].set_ylabel('Признак 2')\n", + "axes[1, 1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 180, + "id": "69e767ee", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + " - Коэффициент вариации CV=-416.39%\n", + " - Количество выбросов (по методу IQR): 0 (0.00%)\n", + "1\n", + " - Коэффициент вариации CV=342.13%\n", + " - Количество выбросов (по методу IQR): 0 (0.00%)\n" + ] + } + ], + "source": [ + "# Выбросы по методу IQR\n", + "Q1 = df.quantile(0.25)\n", + "Q3 = df.quantile(0.75)\n", + "IQR = Q3 - Q1\n", + "lower_bound = Q1 - 1.5 * IQR\n", + "upper_bound = Q3 + 1.5 * IQR\n", + "outliers = ((df < lower_bound) | (df > upper_bound)).sum()\n", + "outliers_percent = (outliers / len(df)) * 100\n", + "\n", + "# Теперь соберем все в словарь\n", + "analysis = {}\n", + "for col in df.columns:\n", + " analysis[col] = {\n", + " 'характеристики': [\n", + " f'Коэффициент вариации CV={np.std(df[col]) / np.mean(df[col]) * 100 :.2f}%', \n", + " f'Количество выбросов (по методу IQR): {outliers[col]} ({outliers_percent[col]:.2f}%)'\n", + " ]\n", + " }\n", + "\n", + "# Вывод\n", + "for col, info in analysis.items():\n", + " print(col)\n", + " for char in info['характеристики']:\n", + " print(f\" - {char}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 181, + "id": "c4b0b31b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2. Визуализируем загруженные данные (диаграмма рассеяния)\n", + "plt.figure(figsize=(10, 6))\n", + "plt.scatter(df.iloc[:, 0], df.iloc[:, 1], alpha=0.6, edgecolors='k', s=50)\n", + "plt.title('Исходные данные: диаграмма рассеяния')\n", + "plt.xlabel('Признак 1')\n", + "plt.ylabel('Признак 2')\n", + "plt.grid(True, alpha=0.3)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "51aa745c", + "metadata": {}, + "source": [ + "### Масштабирование данных " + ] + }, + { + "cell_type": "code", + "execution_count": 182, + "id": "1403c849", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "3. МАСШТАБИРОВАНИЕ ДАННЫХ\n", + "============================================================\n", + "Статистика ПОСЛЕ масштабирования (StandardScaler):\n", + "Среднее Признак1: 0.000000\n", + "Среднее Признак2: 0.000000\n", + "Стд.откл. Признак1: 1.000500\n", + "Стд.откл. Признак2: 1.000500\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 3. Масштабирование данных (важный этап для кластеризации)\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"3. МАСШТАБИРОВАНИЕ ДАННЫХ\")\n", + "print(\"=\"*60)\n", + "\n", + "scaler = StandardScaler()\n", + "X_scaled = scaler.fit_transform(df)\n", + "\n", + "# Создаем DataFrame с масштабированными данными\n", + "df_scaled = pd.DataFrame(X_scaled, columns=['Feature1_scaled', 'Feature2_scaled'])\n", + "\n", + "print(\"Статистика ПОСЛЕ масштабирования (StandardScaler):\")\n", + "print(f\"Среднее Признак1: {df_scaled['Feature1_scaled'].mean():.6f}\")\n", + "print(f\"Среднее Признак2: {df_scaled['Feature2_scaled'].mean():.6f}\")\n", + "print(f\"Стд.откл. Признак1: {df_scaled['Feature1_scaled'].std():.6f}\")\n", + "print(f\"Стд.откл. Признак2: {df_scaled['Feature2_scaled'].std():.6f}\")\n", + "\n", + "# Визуализация после масштабирования\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# До масштабирования\n", + "axes[0].scatter(df.iloc[:, 0], df.iloc[:, 1], alpha=0.5, s=30)\n", + "axes[0].set_title('ДО масштабирования')\n", + "axes[0].set_xlabel('Признак 1 (разный масштаб)')\n", + "axes[0].set_ylabel('Признак 2 (разный масштаб)')\n", + "axes[0].set_xlim([-15, 15])\n", + "axes[0].set_ylim([-15, 15])\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# После масштабирования\n", + "axes[1].scatter(df_scaled.iloc[:, 0], df_scaled.iloc[:, 1], alpha=0.5, s=30, color='green')\n", + "axes[1].set_title('ПОСЛЕ масштабирования (StandardScaler)')\n", + "axes[1].set_xlabel('Признак 1 (стандартизован)')\n", + "axes[1].set_ylabel('Признак 2 (стандартизован)')\n", + "axes[1].set_xlim([-3, 3])\n", + "axes[1].set_ylim([-3, 3])\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "bd204a13", + "metadata": {}, + "source": [ + "### K-Means. Оценка числа кластеров (метод локтя и силуэтный анализ)" + ] + }, + { + "cell_type": "code", + "execution_count": 183, + "id": "7394936c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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nT58SFhZGgwYNuH37Nk+fPs309oQQ4mWrVq3Czc1Nf/euRqPh/fffZ82aNQbDnyR59uwZYWFhPHjwgIULFxIcHEzjxo0z9ZpBQUGcO3eO3r17U6BAAf3yihUr0rRpU7Zv357sOX379mXnzp0EBwcDsHz5cmrVqpXitd3Lx83IyEjCwsKoV68e0dHRXL16NVNZX/XgwQPmzJnD119/rb8bK4mrqysA9+/fT3Mb69ato169ejg5ORnUFU2aNCEhIYG///4bSKzvNBpNiteTKdV3c+fOZcqUKcyePZv27dsbrEvapyNGjDBYntQDO2m4lT179hAeHk63bt0MspmZmVGzZs10zw+2b9/OW2+9Rd26dfXL7O3tGTBgAP7+/gbDy2TWgAEDDHp8f/LJJ5ibm+vf2+tkj4mJSfdcJLPnTEnDG6V1TrFu3Tp8fX0pU6aMwTbfeecdgGTbjImJMSgXFhaWbHijV6V17pPRz2BaMvI+t2/fTqFChejWrZt+mYWFBUOGDOHZs2ccOnQo2XNGjRrFqlWrWLt2LW+99Va6OVISGRkJQMGCBV/r+bmNNKILoaK8cpGeJL2L6tc5CXz06BHNmzcnX758bN68+bXzRUZGYmtr+0bvTwghRO7g4uJCkyZNWL16NRs2bCAhISHVYb1u3LjB06dPcXV1xcXFxeDx7NkzQkJCMvXad+/excPDg3z58hksT7q999Uh25LGrs2fP3+mXgfg1q1blC5dGnPzjI/wOGbMGOrVq5fmOJjh4eHJGkRe9f7772NlZaUfL/jp06ds3bqV7t27GzRoTJs2zWCf+vj48OLFC27evJnhzEmOHj1KkyZN9GMGu7i48MUXX+hfXwghXldCQgJr1qyhUaNG3Llzh5s3b3Lz5k1q1qzJw4cP2bdvX7LnfPbZZ7i4uODp6cnAgQPp1atXpodISKoTSpcunWydr68vYWFhREVFGSyvXLky5cuXZ8WKFSiKoh9aIyWXL1+mY8eO5M+fHwcHB1xcXPQdod70uDl+/Hg8PDwYOHBgsnW1atVCo9EwduxY/P399de+r44xfePGDXbu3Jms/m3SpAmAvg6+desWHh4eBteYqdmxY4d+aIzHjx8nW3/37l20Wi0lSpQwWF6oUCEcHR31f5MbN24A8M477yTLt3v37nTPD+7evZvq3zVp/esqWbKkwe/29va4u7vrh33NbPaEhATCw8PTPRfJ7DlTeHi4Pl9a27x8+XKy7SV9KfTqNpcsWZLie0pLWuc+Gf0MpiUj7/Pu3buULFkyWSN+ap+HX375hR9//BEgxfHmM6p69epYWFgwYcIE/v3331T/X8wrZEx0IVT08kV6dHR0hi/SU2LMF+lJ0ruoTu8kcNeuXURFRWFnZ6df3qZNG65du4arq2uGx2ZPSa1atdi6dSsTJkygb9++2NraygW1EELkYR988AH9+/cnODiYli1b4ujomGI5nU6Hq6tripPHQWJdn52SLnjTGlc1q+zevZu9e/dy7NixNMsFBwfTvHnzNMs4OTnRpk0bVq1axbhx41i/fj2xsbHJ7lLr2bOnQS88gK5du2Y6+61bt2jcuDFlypRhxowZeHl5YWlpyfbt2/npp5/y7MWgECJr7N+/n6CgINasWcOaNWuSrV+1ahXNmjUzWDZq1CiaNWtGQkICly9fZtKkSSiKwtKlS7M9b9++fZk3bx5vvfUWwcHBdOnSRd/gliQ8PJwGDRrg4ODApEmTKF68ONbW1pw9e5bPP//8jY6bfn5+LFu2jN9++y3FMbArVarE+PHjmThxYqr1KyTWwU2bNmX06NEprs/sndMAJ0+epH///tjZ2fHNN9/w3nvvpXh9mt4E3kn7Z+XKlRQqVCjZ+sx8gZ3TMps9ICAAnU6X7rlIZs+Zku6WSCnDy9usUKECM2bMSHF90hjeSdq3b59sctGvvvpK/1qvSu/cJys+gxl5n5l1/Phxvv32W06dOsXw4cNp0aIFzs7Omd6Ot7c3S5cuZejQoVStWtVgXcWKFbMqrskw3v9rhcgj8tJFenBwMN7e3lkT6D9Xr15lx44ddOnShZEjR772Sefw4cO5du0akydPTncyUiGEELlfx44dGThwIMePH+ePP/5ItVzx4sXZu3cvderUMbjt/XV5e3uzd+9eIiMjDb7oTrpt/tV69PTp0xQqVAhPT89Mv1bx4sU5ceIEL168SLER42WKojBmzBg6duzI22+/nWq5+/fvExkZaTAZeGp69uxJ+/btOXXqFKtWraJKlSqUK1fOoEyxYsUoVqyY/vewsDAeP36c6qSnqdmyZQuxsbFs3ryZIkWK6Jdn9k4+IYRIyapVq3B1deXnn39Oti5p0r4FCxYY1BNly5bV91Zt3rw5sbGxfPHFF3z77bcpDu+ZkqQ64dq1a8nWXb16FWdnZ4MOSEm6d+/OqFGjGDp0KJ07d07WsQrg4MGDPHr0iA0bNlC/fn398jt37mQoW1rGjh1L5cqVef/991MtM378eAYMGMDVq1f1w+G8+kVr8eLFefbsmX4/pqZ48eLs2rWLx48fp9sbvWnTpsyfP5+YmBg2bdrEgAEDDCbc9Pb2RqfTcePGDYO67uHDh4SHh+v/Jkn1lKura7r5UuLt7Z3q3zVp/eu6ceOGftghSBxaKCgoiFatWgGZz3769GmAVCdoTZLZc6YrV67g4uKS5lAixYsX5/z58zRu3DjdLzYAPD09k72nmTNnptiInpFzn4x+BtOSkffp7e3NhQsX0Ol0Br3RU/s89O3bly+++ILAwEDKli3L8OHDDSYOzYzu3bsTEBDAxIkTWblyJU5OTikOzZsXyHAuQqisY8eOaLVajh8/nupQLpB4cH706BF16tShSZMmyR6VKlXK1Ot6e3sTGBioH+MqSXZcpAP6W6/Tuqh+nZPAzZs306JFC6ZMmcKyZctSvFUyI2xsbFi0aBHlypWjbt267Nmzhx9++OG1tiWEEML02dvbM3/+fCZMmEDbtm1TLdelSxcSEhKYPHlysnXx8fH6W3QzqlWrViQkJDB37lyD5T/99BMajYaWLVvqlz169IgDBw7Qrl27TL1GknfffZewsLBkrwUku7trzZo1XLhwgSlTpqS5zaQemEljkaalZcuWODs78/3333Po0KFkF2QpjSE8ZcoUFEWhU6dO6W7/ZUnzpbz8vp4+fZojPT6FELnb8+fP2bBhA23atKFz587JHoMHDyYyMpLNmzenux343/jIGeHu7k7lypVZvny5QX1z6dIldu/erW8UfVWBAgVo3749Fy5coG/fvimWSem4GRcXx7x58zKcLyXHjh3jr7/+YurUqek2erq7u9OoUSP9Ne+rQ2926dKFY8eOsWvXrmTPDQ8PJz4+Hkis7xRFSbGz1Kv1Xe3atTEzM8POzo4FCxbw999/s2jRIv36pH06c+ZMg+cl9YRu3bo1kPjFiIODA999912KY26Hhoam+d5btWrFyZMnDXpAR0VFsXDhQnx8fChbtmyaz0/LwoULDTLNnz+f+Ph4/TlGZrOvW7cOR0dHgzlNUpKZc6bIyEi2b9+e7vlEly5dePDggcHfKMnz58+TDWeUGRk598noZzA1GX2frVq1Ijg42KBjR3x8PHPmzMHe3j7Zvq9Xrx4AHh4efP/99/z222/pDluTmrNnzzJ+/HimTp3Ke++9l+L/i3mF9EQXQmVJF+n+/v7pXqTPmzePyZMn89133xmsi4+P59mzZ6n2Yk9Jq1atWLhwIXPnzmXs2LH65WldpPfo0SPjb+wVf/31F8+fP0+zcnj5JHDs2LH695N0EpjSt51JlcOnn37K6tWrGThwIBcvXnyt3oBjx44lICCA8+fP4+3tbdS32AkhhMh+vXr1SrdMgwYNGDhwIFOmTOHcuXM0a9YMCwsLbty4wbp165g1a1aqQ7WlpG3btjRq1Igvv/wSf39/KlWqxO7du/nrr78YNmyYvnfYsWPHGDNmDM+fP8fFxYXffvtNv43r168D8Ntvv9GxY8cUeyFCYk/wFStWMGLECE6ePEm9evWIiopi7969fPrppwaTqe3evZv+/funeEs7JPbAGz9+PIsXL6Zr166UKVMm3fdqYWFB165dmTt3LmZmZgaTZUFig/nZs2epV68e5ubmbNmyhT179tCjRw+DHnQZ0axZMywtLWnbti0DBw7k2bNnLFq0CFdXV4KCgjK1LSGEeNnmzZuJjIxM9QvNt99+GxcXF1atWmXQ8/rYsWOYm5vrh3OZM2cOVapUyfSdv9OnT6dly5bUqlWLjz76iOfPnzNnzhzy58/PhAkTUn3esmXL+Pnnn1Md4qF27do4OTnRq1cvhgwZgkajYeXKlW80hCYk1idNmzZ9o567SUaNGsXmzZtp06YNvXv3plq1akRFRXHx4kXWr1+Pv78/zs7ONGrUiB49ejB79mxu3LhBixYt0Ol0HD58mEaNGiUb3iNJ8+bN+fDDDxk9ejRt27bF3d2dSpUq0atXLxYuXKgf8ubkyZMsX76cDh066OsnBwcH5s+fT48ePahatSpdu3bFxcWFgIAAtm3bRp06dVL8EjvJmDFj+P3332nZsiVDhgyhQIECLF++nDt37vDnn3+mOrl3RsTFxdG4cWO6dOnCtWvXmDdvHnXr1tV/hjOa/eHDh8yePZt169ZRv359/vzzT/1rJN2xcOzYMapWrUrFihUzfM60du1aJk6cyJMnTxgzZkya76VHjx6sXbuWjz/+mAMHDlCnTh0SEhK4evUqa9euZdeuXen2kE9Neuc+kPHPYEoy8z4HDBjAL7/8Qu/evTlz5gw+Pj6sX7+eo0ePMnPmzBTvJnn5uatXr+bjjz/m0qVL2NraZmwHkDjB+wcffEDDhg31cwXkaYoQIkctXbpUAZRTp06lWc7b21tp3bq1wbKBAwcqgNKyZUvlp59+UubOnasMHTpU8fDwUNatW5dsGwcOHFAA5cCBA8nWJSQkKI0aNVI0Go0yYMAA5eeff1bat2+vAMqwYcP05f755x+lfv36CqB8+eWXysqVK/WPpk2bKoCycuVK5dmzZym+j6ioKOX//u//FFtbW6V27dpKQkKCwXpAGT9+vP73PXv2KObm5kqZMmWU6dOnK5MmTVJcXFwUJycn5fbt2/py48ePV149hF25ckWxtLRURo0aleo+7dWrV4rr9uzZo2g0GuW3335Ltv9S2rdCCCFylzepnxVFURYuXKhUq1ZNsbGxUfLly6dUqFBBGT16tBIYGJisbFr1s6IoSmRkpDJ8+HDFw8NDsbCwUEqWLKlMnz5d0el0+jK9evVSgHQfd+7cSfP9REdHK19++aVStGhRxcLCQilUqJDSuXNn5datW4qiKMqdO3cUQLGxsVEePHiQbF8k1atHjx5VSpQooUyYMEGJjY01KJe0jaVLlyZ7/ZMnTyqA0qxZs2Trjhw5ojRp0kQpWLCgYmlpqZQpU0aZNm2aEh8fn+J7Set1FEVRNm/erFSsWFGxtrZWfHx8lO+//1759ddfM7SfhBAiNW3btlWsra2VqKioVMv07t1bsbCwUMLCwvTHqqSHVqtVPD09lV69ein3799P8fkNGjRQGjRokOr29+7dq9SpU0exsbFRHBwclLZt2ypXrlwxKJN0/RQaGpriNlJaf/ToUeXtt99WbGxsFA8PD2X06NHKrl27Uq3D0jsOA4pGo1HOnDmTqfeXJKXrucjISGXs2LFKiRIlFEtLS8XZ2VmpXbu28sMPPyhxcXH6cvHx8cr06dOVMmXKKJaWloqLi4vSsmVLgyyvXpsqiqKEhYUpLi4uSseOHfXLXrx4oUycOFFfd3p5eSljx45VYmJikmU+cOCA0rx5cyV//vyKtbW1Urx4caV3797K6dOn032/t27dUjp37qw4Ojoq1tbWyltvvaVs3bo12fZTu2a1s7Mz2F9J5zqHDh1SBgwYoDg5OSn29vZK9+7dlUePHmU6e9Jrp/d4dZ+md87UsWNHpWXLlsqJEyeSZerVq5fi7e1tsCwuLk75/vvvlXLlyilWVlaKk5OTUq1aNWXixInK06dP9eUAZdCgQcm22bp1a4NtZvTcJ0lGP4Ovyuz7fPjwodKnTx/F2dlZsbS0VCpUqJDs/7XU/h+8du2aYm1trQwfPjzZa6XUtpJkwIABSsGCBVPcDymdD+d20oguRA7Laxfp9+/fV7y8vJRhw4YZVGBJUqpUM3MS+KqJEycq5ubmytmzZ5OtS60RPSwsTPHw8FC6detmsFwa0YUQQhirXr16pfrFcBJTaBw+d+6cAigrVqxQO4oQQgiRq2W0LSKjkq6X09KrV69k1/tCmCqNorzhvThCiFytd+/eQOLtfqnRaDTcuXPnjSYdFUIIIUTG5Zb6efDgwSxfvpzg4OBUh50RQgghxJtbtmwZffr04dSpU689xMnLDh48SKNGjdIc4qd37974+PikObSQEKZCBvwVQgghhBDCxNSuXTvdMt27d8fe3j4H0mTeli1buHLlCgsXLmTw4MHSgC6EEEKYGDc3N7p3755mmdq1a6c6JrgQpkYa0YUQaTL1i3QhhBAiNxowYEC6ZV6ebNTYfPbZZzx8+JBWrVoxceJEteMIIYQQIpN8fX3TPdfIyPmKEKZChnMRQgghhBBCCCGEEEIIIVKhVTuAEEIIIYQQQgghhBBCCGGspBFdCCGEEEIIIYQQQgghhEiFjIkO6HQ6AgMDyZcvHxqNRu04Qggh8jBFUYiMjMTDwwOtVr7rTovU30IIIYyJ1OEZJ3W4EEIIY5HR+lsa0YHAwEC8vLzUjiGEEELo3bt3D09PT7VjGDWpv4UQQhgjqcPTJ3W4EEIIY5Ne/S2N6EC+fPmAxJ3l4ODwRtvS6XSEhobi4uJikr0PJL96TDk7SH61SX51ZWX+iIgIvLy89HWTSJ3U3/8j+dUl+dUl+dVjytkh6/NLHZ5xUof/j+RXjylnB8mvNsmvLjWuwaURHfS3jzk4OGRJBR4TE4ODg4PJfgglvzpMOTtIfrVJfnVlR365tTl9Un//j+RXl+RXl+RXjylnh+zLL3V4+qQO/x/Jrx5Tzg6SX22SX11qXIOb3l4SQgghhBBCCCGEEEIIIXKINKILIYQQQgghhBBCCCGEEKmQRnQhhBBCCCGEEEIIIYQQIhUyJroQQrymhIQEXrx4oXYMIHE8sBcvXhATE2Oy45nllfwWFhaYmZnlUDIhhDBdGa1n81IdYmxMOTtkPr/U4UKIrJIV15J57RhsbCS/utS4BpdGdCGEyCRFUQgODiY8PFztKHqKoqDT6YiMjDTJyazyWn5HR0cKFSpkku9VCCGyW2br2bxWhxgTU84Or5df6nAhxJvIymvJvHgMNiaSX11qXINLI7oQQmRS0kmPq6srtra2RlHhKIpCfHw85ubmRpEns/JKfkVRiI6OJiQkBAB3d/eciiiEECYjs/VsXqlDjJEpZ4fM5Zc6XAiRFbLyWjIvHYONkeRXlxrX4NKILoQQmZCQkKA/6SlYsKDacfTySgVorDKT38bGBoCQkBBcXV3ltnAhhHjJ69SzeakOMTamnB0yn1/qcCHEm8jqa8m8dgw2NpJfXWpcg5veoDdCCKGipHHrbG1tVU4iTFnS58dYxtQXQghjIfWsMHZSh8OECRPQaDQGjzJlyqgdSwijJ3WcEOrJivpbeqILIcRryJJvahUFHj2CZ8/A3h4KFgQT/AZYZJ4pftMvhEiFokBYGGb37oFWCy4ucizPAm98nJQ6VmQTqcMTlStXjr179+p/NzeXpoU8SerA15Jl15JhYRAeDo6O4Ows+16INGTF/3fSE10IIXJaeDjMmgUlSyaeaBYtmvizZMnE5UY0YakQQohUvHQs17q54fLWW2jd3ORYrjapY4XIEebm5hQqVEj/cHZ2VjuSyElSB6rnpX2vcXXFolQpNK6usu+FyAHSiC6EEDlp1y7w9IThw+H2bcN1t28nLvf0TCwnXkuPHj347rvv9L/7+Pgwc+bMHHv9nTt3UrlyZXQ6XY69phAih8mx3DjJ38Wkff311wwYMED/e8OGDRk2bFiOvf6VK1fw9PQkKioqx17TlN24cQMPDw+KFStG9+7dCQgISLN8bGwsERERBg8AnU6XJQ9FUbJsW2o8TCr/jh0onp4ow4ejvHKsVW7fTlzu6Yluxw71sxrhvlcU5fUfO3dmaN8rO3e+2evk0AMw+GlqD8n/v0f9+vVZtWqV/neNRsPGjRtzLP/8+fNp27Zthp6X2v+bGSH3XGWhhAQ4dAiuXbOmdGlo0ABkrhkhhN6uXdC6deKtd/8d7A0kLXv+PLHctm3QvHmWx0jtNiYlpUwm5vz582zfvp358+dn+2vFxsZSs2ZNzp8/z9mzZylfvjwALVq04Ouvv2bVqlX06NEj23MIIXKYkRzLhSHN7t3Qvr1qf5fevXuzfPlyBg4cyIIFCwzWDRo0iHnz5tGrVy+WLVuWZa+ZmwQHBzNr1iwuXryYba/RsGFDDh06ZLBswIABzJ07F4CyZcvy9ttvM2PGDL7++utsy5Eb1KxZk2XLllG6dGmCgoKYOHEi9erV49KlS+TLly/F50yZMoWJEycmWx4aGkpMTMwb5dHpdDx9+hRFUdBqTa+foCnltzxwAKcePUBR0KRwrE1apjx/jqZtW56sXElco0Y5HTPDcnrfv3jxAp1OR3x8PPHx8Zl6rmb3bsz+q+fS2/e0aUPCX3+hNGuWJbkBPvroI1auXEn//v35+eefDdYNGTKEBQsW0KNHD5YsWZLhbSqKQkJCQmJ+ExyKRvIn2rJlC8HBwXTu3Nngc52QkJDpz3l6Hj16RPXq1Xnw4AEPHz7U1zk9e/bkm2++4eDBg9StWzfF58bHx6PT6Xj06BEWFhYG6yIjIzP0+tKInkU2bIChQ+H+fS3gCCR2dJk1Czp1UjWaEMIYhIfDu+8mXsSn9y2nTpc4puC778L9+4lj3GWxpUuX0qJFCyCx53SfPn2y/DXUMGfOHN577z3s7e2z/bVGjx6Nh4cH58+fT7aud+/ezJ49WxrRhchtjOxYLv4THo7Z+++r/nfx8vJizZo1/PTTT9jY2AAQExPD6tWrKVKkSJa9Tm60ePFiateujbe3d7a+Tv/+/Zk0aZL+96S/U5I+ffrQv39/xo4dK2N8p6Fly5b6f1esWJGaNWvi7e3N2rVr+eijj1J8ztixYxkxYoT+94iICLy8vHBxccHBweGN8uh0OjQaDS4uLkbfCJ0Sk8kfHo6mf//ERtx0jrUanQ5Fq8Wpf3+UgACjrQNzet/HxMQQGRmJubl55o4x4eHwXz2X0X1v9v77cO9elu17rVaLl5cXa9euZebMmQb13Jo1ayhSpAharfa1jp2vNmiamryef968efTp0wdLS0uD5WZmZllel3788cdUrFiRBw8eYGFhgZmZGRYWFlhYWNCtWzfmzZtHw4YNU3yuubk5Wq2WggULYm1tbbDu1d9TY8RHaNOxYQN07px4Hv6yBw8Sl2/YoE4uIYQRWb4coqPTv7hPotMlll+xIktjJH0TXKBAAf0Ylo4pnFj9+eeflCtXDisrK3x8fPjxxx8N1r86RMpXX32Fp6cn/v7+GdpGw4YN0Wg0+odWq8XS0hKtVsuECRNSfI30JCQksH79etq2bZtmucWLF+Po6Mi+ffsyvO1X7dixg927d/PDDz+kuL5t27acPn2aW7duvfZrCCGMkJEcy8Ur/vu7pNewoJdNf5eqVavi5eXFhpdO/jds2ECRIkWoUqWKQdmdO3dSt25dHB0dcXZ2pkOHDgZ1hr+/PxqNhnPnzgGJdz81adKEJk2aEBsbqy/366+/6utad3d3Bg8erF+n0WjYtGmT/vclS5ag0WgMhkjx8fFBo9Fw9uxZ/bIXL17g5uaGRqPB39+fqKgoHBwcWL9+vcF72LRpE/b29kRGRurzuri4EBcXpy9z/vx5NBoNPj4+ae67NWvWpFt/b9u2jfz587Nq1ao0y6XF1tbWYBzvVxtvmzZtyuPHj5P1WBdpc3R0pFSpUty8eTPVMlZWVjg4OBg8ILFhLiseSeeTpvowifwrV6LJxLFWo9OhiY5G+9tv6mc3on3/8jVQhh8rVrzWvtesXPl6r5fCA/5Xz23cuFG/fOPGjQb1XNLyXbt2Ua9ePZycnHB2dqZt27bcvn1bv/7u3btotVp9h6S4uDiaNm1K06ZNiYuL05dbunQp5cuXx9raGg8PDz777LMMZz506BBarZbt27dTqVIlbGxsqFWrFpcvX9aXefz4MR988AGenp7Y2dlRsWJF1qxZY7AdRVGYPn06JUuWxNraGm9vb/3woRqNhvv37/PBBx9QsGBB7O3tqVGjBidPnmT58uWpfg6KFi2q3/6CBQsoUaIEVlZWlClTht9++83g9a9du0azZs1wdHTUP9/JyUm/vk+fPnTs2NHgOcuXLzcoM3HiRKpUqaL//cWLF5QsWRIrKyvCw8P1y48ePUr9+vWxtbWlSJEiDB06lOjo6FT3cVhYGPv376ddu3bJPi8v/z5hwgQ8PDy4ePHia38GFyxYQHh4OP/3f//3v8/6S6/Vrl07Nm/eTExMTJrbSe1vkhHSiP6GEhISe6CnddfosGGJ5YQQeZSiwJw5r/fc2bNTPsC8pqQL21e/JX7ZmTNn6NKlC127duXixYtMmDCBr7/+OtVb0H/88Ud++eUX9uzZo79ITm8bGzZsICgoiKCgIGrVqsWIESMICAggMDDQoFLMjAsXLvD06VOqV6+eaplp06YxZswYdu/eTePGjQH47rvvsLe3T/Px8jifDx8+pH///qxcuRJbW9sUX6dIkSK4ublx+PDh13ovQggjZETHcvESRYH/huPItGz4u/Tt25elS5fqf//1119TvNsrKiqKESNGcPr0afbu3YtGo6FTp04pjsmZkJBA165defbsGZs2bcLKygpIHP9z0KBBDBgwgIsXL7J582ZKlCiRYq6oqCi+/vrrFO/UKly4MAsXLtT/vnHjRoNeaXZ2dnTt2tXgfUHiXW2dO3c2GL7DysrK4EuEX375hcKFC6eYKcnjx4+5cuVKmvX36tWr6datG6tWraJ79+4ArFq1Kt36+9V6eNWqVTg7O1O+fHnGjh1LdHS0wXpLS0sqV64s9XcmPXv2jFu3buHu7q52FJFdpA5Uj5Ht+9ep5/bt24dWq6Vjx47ZVs+lZdSoUfz444+cOnUKFxcX2rZty4sXL4DEnvTVqlVj27ZtXLp0iQEDBtCjRw9Onjypf/7YsWOZOnUqX3/9NVeuXGH16tW4ubkBice/hg0b8uDBAzZv3sz58+cZPXo0Op2O999/X3/NO3PmTDw9PfW/nzp1Ckisc4cOHcrIkSO5dOkSAwcOpE+fPhw4cMBgn7948YKjR4/qt/Wm5s6dy8OHDw2W3bp1ixYtWvDuu+9y4cIF/vjjD44cOWLwBf2rjhw5gq2tLb6+vimuVxSFzz77jBUrVnD48GEqVqwIJPYoT68Of9mVK1eYNGkSK1asSLXBu3r16sTHx3PixInM7IpMkXvU3tDhw8l7oL9MURLvoDl8GFK5o0AIkds9egSv0yNZURKf9/gxFCyYJVGePHkCkOZwJzNmzKBx48b68UBLlSrFlStXmD59Or179zYou3jxYiZNmsT+/fsNKs70tlGgQAF9WUtLS+zt7SlUqBDm5uavPR7b3bt3MTMzw9XVNcX1n3/+OStXruTQoUOUK1dOv/zjjz+mS5cuaW7bw8MDSDwJ6N27Nx9//DHVq1c36Hmf0nPu3r2b+TcihDBORnQsFy959AiNEf1dPvzwQ8aOHas//h89epQ1a9Zw8OBBg3LvvvvuS1EUFi1ahIeHB1euXNHPsZG0rk+fPty8eZNDhw4Z1N/ffPMNI0eOZOjQofplNWrUSDHXtGnTKFu2bIpjk/bo0YNFixbx448/Ymdnx8KFC+nbty+TJ0/Wl+nXrx+1a9cmKCgId3d3QkJC2L59O3v27DHYVt++fVm0aBFdu3YlOjqatWvX0r9/f37//fdU91lAQACKoujr2lf9/PPPfPnll2zZsoUGDRrol7dr146aNWumul3AoAH/gw8+wNvbGw8PDy5cuMDnn3/OtWvX+OOPPwyeI/V3+v7v//6Ptm3b4u3tTWBgIOPHj8fMzIxu3bqpHU1kF6kD1WNk+/516jlIbGx3cXFJsZ7r27fvG9dzaRk/fjxNmzYFYPny5Xh6erJx40a6dOlC4cKFDTpxffbZZ+zatYu1a9fy1ltvERkZyaxZs5g7dy69evUCoHjx4tStWxdFUVizZg2hoaGcOnVKf437ckN/0rA3+fPnx8zMjEKFChlk++GHH+jduzeffvopACNGjOD48eP88MMPNPpvPoFz586xePFi/X7Lnz9/pvfByx4/fsw333zD6NGjGTdunH75lClT6N69u/6OtZIlSzJ79mwaNGjA/PnzUxzy5O7du7i5uaXYsB0fH8+HH37Iv//+y5EjRwzq5EmTJmW481xsbCzdunVj+vTpFClShNuvTh7/H1tbW/Lnz5+tdbg0or+hoKCsLSeEyIWePXuz50dGZtmJT3BwMID+m/OU+Pn50b59e4NlderUYebMmSQkJGD234zJf/31F3///TelSpUyOBHKzDbS8/nnn/PVV19ha2tL2bJl+fbbb6lTp06KZZ8/f46VlVWKjfA//vgjUVFRnD59mmLFihmsK1CggEGjflrmzJlDZGQkY8eOTbesjY1Nsh5uQggTZkTHcvESI/u7uLi40Lp1a5YtW4aiKLRu3RpnZ+dk5W7cuMG4ceM4ceIEYWFh+p55AQEBBnXqqFGj2LdvH3369DGoq0JCQggMDNTfVZWWwMBAZsyYwZEjRwwaIpK4ubnRsGFD1qxZQ8OGDbly5QpTpkwxaER/6623KFeuHMuXL2fMmDH89ttveHt7U79+ff2kZJDYsL148WJu3rzJ33//TYMGDdI854DE+htSHo90/fr1hISEcPTo0WQNJ/ny5Ut1EsuUDBgwQP/vChUq4O7uTuPGjbl16xalS5fWr5P6O33379+nW7duPHr0CBcXF+rWrcvx48dxcXFRO5rILkZ2rM1TjGzfZ3U9N3bsWPbv3/9G9Vx6atWqpf93gQIFKF26NH5+fkBiL/jvvvuOtWvX8uDBA+Li4oiNjdXfcezn50dsbGyqOc6fP0+VKlUyfD35Kj8/P4P6CRKvm2fNmqX/vWjRomzcuJEOHTqkeif01q1bDb6AiI+PT3Wc70mTJtGoUaNkE3CeP3+eCxcuGAybpigKOp2OO3fupNjb/Pnz56m+zvDhw7GysuL48ePJPiOurq6pdn571dixY/H19eXDDz9Mt2x21+EynMsbyugda3JnmxB52JtOcpmJC8T0+Pn5YWlpSdGiRd94W0ePHuWPP/7Qj3GWHUaNGsW5c+fYs2cPnp6etG3b1mCs1Zc5OzsTHR2d4vp69eqRkJDA2rVrk63LzHAu+/fv59ixY1hZWWFubq7vZVCjRg369u1rsN3Hjx/LxaQQuYkRHcvFS4zw79K3b1+WLVvG8uXLk9UNSdq2bcvjx49ZtGgRx48f58iRIwDJ6jA/Pz927NjBmjVr2LVrl375qxNipuXLL7/kvffeo1KlSqmWGTBgAIsWLWLhwoX06tUrxUnG+vXrpx+WbenSpfTp0yfZF9fm5ub07t2bxYsX88svvyRrGEhJ0oV10t1yL6tSpQouLi78+uuvKK8MSfA6w7m8LKkX+6vzl0j9nb41a9YQGBhIbGws9+/fZ82aNRQvXlztWCI7GeGxNs8wwn2f2XruxIkT+iE2Xq3nrl69yvbt29+onnsT06dPZ9asWXz++eccOHCAc+fO0bx5c33O9HLkRM4lS5Zw4cIF8uXLh729PR9//HGyMo0aNeLcuXP6x8uTaL/sxo0bLF68mO+//z7ZumfPnjFw4ECD7Zw/f54bN26keox3dnZOsf6GxHlGHjx4YPB3TZKZ4Vz279/PunXr9BPyJn2h4eLiwsSJEw22m911uPREf0P16oGnZ+IkoikNNaXRJK6vVy/nswkhjETBglC8ONy+nbkx6TQaKFYMXvNb7ZRs376d2rVrpzlLtq+vL0ePHjVYdvToUUqVKmXQg3zMmDF07tyZIkWKUL9+fTp16qTvJZbRbaTH2dlZ31A9duxYVq1aRUBAQIpj4VWuXBlIHC8t6d9J3nrrLQYPHkyLFi0wNzc3uHUsM8O5zJ49m2+++Ua/PDAwkObNm7NmzRqqVaumXx4TE8OtW7eSTSQnhDBhRnQsFy8pWBDlv7+Lxkj+Li1atNBPita8efNk6x89esS1a9dYtGgR9erVQ1GUVCeyXLlyJe+88w6TJ0+mf//+XLp0CQcHB/Lly4ePjw/79u3T3+6dknPnzrF+/XquXbuWZuamTZvyySefsGDBAs6ePUtkZGSyMh9++CGjR49m9uzZXLlyRX9b+6v69+9P5cqVKVCgAE2bNtX39ktN8eLFcXBw4MqVK5QqVSrZuh9//JGGDRtiZmbG3JfGv8/scC6vSpq09dVb6y9dukTnzp3T3K4Qec5r1oEKGuJsChN9QYNjQ+W1h23M04zw/COz9Ryg/7L4VUuXLqVp06avXc9lxPHjxylSpAiQ+IXt9evX9b2qjx49Svv27fW9nHU6HdevX6ds2bJA4pAmNjY27Nu3j379+iXbdvny5fn11195/Pjxa/VGT7pufrlOPXr0qP71Ad5++23atWvH33//zW+//cbGjRv1E5smsbOzM7hGTmuI0379+lGiRAnu3btnsK5q1apcuXIlU+POV6lSheDgYJ48eYKTk5PBunbt2tG2bVs++OADzMzM6Nq1q35dZoZz+fPPP/V3rQGcOnWKvn378vfff+Pt7a1ffuvWLWJiYrL1Glwa0d+QmRnMmgWdOyceo14+piXVDzNnJpYTQuRRGg189hkMH5755w4Z8r+DyRsIDAxk5syZrF27lm3btqVZduTIkdSoUYPJkyfz/vvvc+zYMebOncu8efMMyiWdJLz11lsMGzaMPn36cPbsWSwtLTO8jfTEx8cTExNDVFQUv/76K/nz58fLyyvFsi4uLlStWpUjR44ka0QHqF27Ntu3b6dly5aYm5vrx3rLzHAuSSdfSZK+IS9evDienp765cePH8fKysrg1kEhhIn771iuDB9Opo/KWXQsFynQaGDwYBgxIvPPzaa/i5mZmb7hOKUvjp2cnChYsCALFy7E3d2du3fvMmbMmBS3lVQ/DR8+nA0bNjBixAgWL14MwIQJE/j4449xdXWlZcuWREZGcvToUT777DP983/44QdGjhyZ6njjSTQaDQsWLMDf35/ixYvrG5hfzd2pUydGjRpFs2bN8PT0TNY7HBJvO58xYwaenp6pTv71Mq1WS5MmTThy5AgdOnRItr5UqVIcOHCAhg0bYm5urp9QLTPDudy6dYvVq1fTqlUrChYsyIULFxg+fDj169fXT3IG4O/vz4MHD2jSpEmGtitEnvEG1zMBzzvw4J0L5HsrH0XGFMG5vTMardSJGWYE15Kvymw9FxAQkGo9l9Tw+jr1XM+ePSlcuDBTpkxJM++kSZMoWLAgbm5ufPnllzg7O+vrm5IlS7J+/Xr++ecfnJycmDFjBg8fPtQ3YltbW/P5558zevRoLC0tqVOnDqGhoVy+fJm+ffvStWtXpk2bRocOHZgyZQru7u78+++/eHh4ZOhacNSoUXTp0oUqVarQpEkTtmzZwoYNG9i7d6++zJ9//smyZcs4c+YMRYoUyfAwKK+6efMmAQEB3Lx5M8X1n3/+OW+//TaDBw+mX79+2NnZceXKFfbs2WPwJfbLqlSpgrOzM0ePHqVNmzbJ1nfs2JGVK1fSo0cPzM3N9V9SZ2Y4l1d7wYeFhQGJX0C83GP98OHDFCtWLFvvjJLhXLJAp06wfj282tHB0zNxeadO6uQSQhiRXr3A1hYycDEJJJaztYWePbPk5VevXs3p06fZuXNnir0FXla1alXWrl3LmjVrKF++POPGjWPSpEnJJhV92cSJE9HpdPphXV5nGykZNWoUNjY2eHl5cfjwYTZu3KifrT0l/fr1MxjD7VV169Zl27ZtfPXVV8x53VnuM+D333+ne/fuqY5ZJ4QwTfvqeRJloZCQflEAFK0mS4/lIhX/1bGKSnVsShwcHHBwcEjl5bWsWbOGM2fOUL58eUaMGMHUqVPT3J5Wq2Xp0qWsXr2a3bt3A9CrVy9mzpzJvHnzKFeuHG3atOHGjRsGz8uXLx+jR4/OUOamTZvSv3//NMt89NFHxMXFpXr7/svl0jvfeFm/fv1Ys2aNfszcV5UuXZr9+/fz+++/M3LkyAxvN4mlpSV79+6lWbNmlClThpEjR/Luu++yefNmg3K///47zZo1M+jZJoT4T69eKFY2KBn9Kvm/Y62mby+01loiT0ZyudNlTpY9SdCSIHSxKf//LlKg8rVkSjJTzw0fPpzp06enub3XqecCAgIIysAEhFOnTmXo0KFUq1aN4OBgtmzZgqWlJQBfffUVVatWpXnz5jRs2JBChQol+0L366+/ZuTIkYwbNw5fX1/ef/99QkJCgMT6ZdeuXbi6utKqVSsqVKjA1KlTM3z3dYcOHZg1axY//PAD5cqV45dffmHp0qU0bNgQgOvXr9OvXz9Wr16drENXZkVFRfHll1+m2oGsYsWKHDp0iOvXr1OvXj2qVKnCuHHj0vwi3szMjD59+qR5Dd65c2eWL19Ojx492LBhwxu9h7T8/vvv6Z7HvCmNklL3gTwmIiKC/Pnz8/Tp01QPAhmRkABbt+ro0CHxwBYaCinMr2DUdDodISEhuLq6ZqjniLEx5fymnB3yTv6YmBju3LlD0aJFU51AI1W7dkHr1om3rKRykQgknvRoNLB9OzRrlqFNK4pCfHw85ubmJnmbZFblf/78OaVLl+aPP/7I0V7gL+d/9OgRpUuX5vTp06mOPZ/W5yir6qS8ICv3VV45hhkrU8i/59Ye2v7elgbXYtm+WoMWDZo0juUJgKKBW7/NpvQHn6VazhgY0/5/nXpWURQStm/HrH37xCFdsriOzW6mVIevXLmS4cOHExgYiKWlZZZlVxSFmjVrMnz4cLp165aFidN/3aT8L168oGTJkqxevTrVScxB6vCsInX4/5hK/pi7Mdws9zPlokaTOFBLGk1Jrxxr4x7GcX/2fQLnBRIfHg+ApYclnsM98RjggbmDOoMk5PS+N9ZrSbVkd/138OBBGjVqxJMnT3B0dMzy7ZtS/Z2SrMofHBxMuXLlOHv2bI5+Cf1y/itXrvDOO+9w/fp18ufPn2L5rKi/jfcIbYLMzKBtW/D2TqwU/v1X5UBCCOPSvDls2wY2NoknNq9WVEnLbGxM4qTHGNnY2LBixQr9LV5q8Pf3Z968eVkyeasQwjjsv7OfdmvaEZsQi03r9ui2bEaTxrFc0WiIszKjVXdoGPQd957eS3nDIssozZrB1q1Sx2aT6Ohobt26xdSpUxk4cKC+B19W0Wg0LFy4kPj4+CzdbmYEBATwxRdfpNmALkRepYvXceWDK4RFVeNmqVlgZ5upY62lmyXFvi3G2wFvU/yH4lh6WBIXGMftUbc5VuQYt7+4TdzDuBReWejJtaQwUoUKFWLJkiUEBASoliEoKIgVK1ak2oCeVaQRPRtUrvwCgNOnVQ4ihDA+zZvD/fuJkyUUK2a4rlixxOUPHshJzxto2LAhbdu2Ve31q1evzvvvv6/a6wshstZB/4O0Wd2GmPgY2pRqw9r31mLRqk2ax3LNzJm8CLhDUO3yBD8Lpt2adjyLe6ZK/jxF6thsM23aNMqUKUOhQoUYO3ZstrxG5cqV6dGjR7ZsOyNKlCjBwIEDVXt9IYyZ/3h/Iv6JwMzBDM8dH6F5zWOteT5zvEZ68fbttym9pDQ2pW1IeJpAwJQAjnkf49rH14i+GZ0j78kkST0njFSHDh30k8iqoUmTJpkaRu51ycSi2aBSpRf89ZcNp06pnUQIYZQcHRMnefnsM3j8GCIjIV++xJnTTfA2MCGEyK0O3z1M69WteR7/nFYlW7H+vfVYmv3XA/elY7kuLIxH/v4U9PFB6+wMGg0OwJZuW3hr0VucCz7Hhxs+ZMP7G9BqpA9LtpI6NltMmDBBP++JECJvebz3MQFTEnuYll5cGptiNoBNmnVgerRWWtz7ulOodyHCNodx7/t7RByPIOiXIIIWBeHS2YUinxchX9WMTR6cp7xUzymPHhH/5AnmTk5oChaUeu4VDRs2THECbCFel5zFZ4NKlRJ7oksjuhAiTRoNFCwIPj6JP+WkRwghjMbRgKO0XNWS6BfRNC/enD+7/ImVeQoTG/93LE/w8kp2LPdx9GFT101Ymlny17W/GLs3e3rwihRIHSuEEG8s7mEcfh/6gQLuA9xxfc/VsEAadWBGaLQaXDq4UOWfKlQ+VJkCrQqADkLXhnKm2hnONz3P472PpSE0JVLPCZHjpBE9G1SsGI9Go3D/PgQHq51GCCGEEEJkxrF7x2ixqgVRL6JoUqwJG9/fiLV5JicA+09tr9r82u5XAKb9M42l/y7NyqhCCCFEtlB0Cn49/Xjx8AV25e0oMbNEtr2WRqPBsb4jFbdVpPr56rh2dwUzeLL3CReaXuBMjTOErAtBSZDGdCGEeqQRPRvY2yuUKZP4bxkXXYjcSZfWjOhCpEM+P0IYr5MPTtJiVQuexT3jnaLv8FfXv7CxsHmjbXav2J2v6n0FwMCtAznkfygrouZqcpwUxko+myKvuDf9Hk92P0Fro6XsmrKY2ZjlyOvaV7Sn7G9lqXmzJoUHF0Zro+XZmWdc6XKFk2VOEvhLIAkxCTmSJbvIcUSInJcV/9/JmOjZpHp18PNLHNKlTRu10wghsoqlpSVarZbAwEBcXFywtLREYwS3zimKQnx8PObm5kaRJ7PySn5FUYiLiyM0NBStVoulpWUOphRCpOd04GmarWxGRGwEDbwbsLnrZmwtbLNk2xMbTeTqo6usv7KeTms7cbLfSYoXKJ4l285NXqeezSt1iDEy5eyQufxSh4u85Omxp9z+8jYAJWaXwK6cXY5nsPGxoeSckniP8+bB3Ac8mPuA5zefc/3j69wZfwfPoZ54fOKBhaNFjmd7XVl9LZmXjsHGSPKrS41rcGlEzyY1aiisXKmRnuhC5DJarZaiRYsSFBREYGCg2nH0FEVBp9Oh1WpNtgLMS/ltbW0pUqQIWq3cECaEsTgbdJamK5vyNPYp9YrUY+sHW7GzzLpGA61Gy/IOy/EP9+d04Gna/N6GYx8dw9HaMcteIzd4nXo2r9UhxsSUs8Pr5Zc6XOR2L8JfcKXbFUgA166uuH/krmoeSxdLik4sitcoL4KXBHPvx3vE3ovlzhd3CJgSgMfHHngO88TKI4V5S4xMVl9L5sVjsDGR/OpS4xpcGtGzSbVqiT9PnQJFkTkehMhNLC0tKVKkCPHx8SQkGMethDqdjkePHlGwYEGTvKjLS/nNzMxM9tt+IXKrc8HnaLKiCeEx4dT2qs22D7Zhb2mf5a9ja2HL5q6bqbGoBlfDrtJlXRe2d9+OuVZOyV+W2Xo2L9UhxsaUs0Pm80sdLnI7RVG41u8asXdjsS5mTalfShnN593c3jyx9/mnHoSsCSHg+wCiL0dzb/o97s+6j1sPN4qMKoJt6ay5gyy7ZOW1ZF47Bhsbya8uNa7B5Yw9m1SuDObmEBoKAQHg7a12IiFEVtJoNFhYWGBhYRy3D+p0OiwsLLC2tjbZClDyCyHUcPHhRZqsaMKTmCe87fk2O7rvIJ9Vvmx7Pfd87mzptoW6S+uy5/YehuwYws+tfjaaRgpjkZl61tSPwaac35Szg+nnFyKrBf4SSNifYWgsNJT9oyzmDsbXZKS10FKoRyHcurvxaPsj7n1/j6dHnhK8JJjgX4Nx7uhMkc+L4PCWg9pRU5VV15KmfgyT/OqS/JlnenvJRFhbQ4UKif+WIV2EEEIIIYzP5ZDLNF7RmEfPH1HDowY7u+/EwSr7L7qruFdhVadVaNAw//R85p6cm+2vKYQQQqTl2YVn3Bx2E4BiU4vhUN14G6EBNFoNzm2cqXK4ClWOVKFg24KgQNiGMM7WPMu5Rud4tPMRiqKoHVUIkUtII3o2ql498eepU+rmEEIIIYQQhvxC/XhnxTuERodSzb0au3vsJr91/hx7/Q5lOjC1yVQAhu0axs6bO3PstYUQQoiXJUQlcOX9KyixCgVaF8BzuKfakTIlf538VNhcgRqXauDWyw2NuYbwg+FcbHmR01VO8/D3h+jidQbPURIUwg+GE7ExgvCD4SgJ0tguhEibNKJnoxo1En9KI7oQQgghhPG4FnaNd1a8Q0hUCFUKVWF3j92qTPA5qvYo+lTug07R0WVdFy6HXM7xDEIIIcSNz24QfTUaSw9LyiwtY7JDjNmVs8N3mS81b9fEc7gnWjstUeej8PvAj5OlTvLg5wckRCcQuiGU4z7HudD4AoGfBnKh8QWO+xwndEOo2m9BCGHEpBE9GyU1op85Azpd2mWFEEIIIUT2u/HoBo2WNyL4WTCV3Cqxp8ceCtgUUCWLRqNhQZsF1PeuT2RcJG1+b0NolFzACyGEyDkPVz0keGkwaMF3lS+WLpZqR3pj1l7WlJhRgloBtfCZ5IOFswUxd2K4MfgG/7j/w+V3LxN7P9bgObEPYrnc+bI0pAshUiWN6NmoXLnEsdGfPoWbN9VOI4QQQgiRt918fJNGyxsR9CyICq4V2NtzLwVtC6qaydLMkj+7/Ekxp2L4h/vT8Y+OxMbHpv9EIYQQ4g1F34zm+sfXAfD+2hunhk4qJ8paFgUs8Pnah7fvvk3JuSWx8rYiISIh5cL/jeZyc9hNGdpFCJEiaUTPRhYWULly4r9lclEhhBBCCPXcfnKbRssb8SDyAWVdyrK3516cbZ3VjgWAs60zW7ttJb9Vfo7eO0r/Lf1lIjQhhBDZSher48r7V0h4lkD++vnx/spb7UjZxszWjMKDClN6Sem0CyoQey+W8MPhOZJLCGFapBE9m8m46EIIIYQQ6vIP96fR8kbcj7hPGecy7O+5H1c7V7VjGfB18WXde+sw05ix8sJKph6ZqnYkIYQQudjtMbd5dvYZ5gXN8V3li9Y89zcPvQh5kaFycUFx2ZxECGGKcv9RUmXVqyf+lEZ0IYQQQoicF/A0gEbLGxHwNIBSBUuxv+d+3Ozd1I6VoqbFmzK75WwAvtj/BX9e+VPlREIIIXKjsC1h3J95H4Ayy8pg7WmtcqKcYemesfHeM1pOCJG3SCN6Nkvqif7vvxAfr24WIYQQQoi85N7TezRa3gj/cH9KFCjB/p77cc/nrnasNH1a41M+e+szAHps7MGZwDMqJxJCCJGbxNyP4WrvqwB4DvPEuY1xDG2WExzrOWLlaQWa1MtYFrbEsZ5jjmUSQpgOaUTPZqVKgb09REeDn5/aaYQQQggh8oYHEQ94Z8U73H5ym2JOxTjQ6wCFHQqrHStDZjSfQfPizXke/5x2a9rxIOKB2pGEEELkArp4HX4f+BH/OB77avYUm1pM7Ug5SmOmocSsEv/9knIZC2cLFJ3MSyKESE4a0bOZmRlUq5b4bxnSRQghhBAi+wVFBvHOine4+fgmRR2LcqDXATwdPNWOlWHmWnP+6PwHZV3KEhgZSLs17YiKi1I7lhBCCBN3d/Jdnh5+ilk+M8quKYvWKu81Cbl0cqHc+nJYFbYyWG7hZoHGUkPU+ShufHZDJvgWQiST946YKkga0uX0aXVzCCGEEELkdsHPgnlnxTtcf3Qd7/zeHOh1gCL5i6gdK9PyW+dna7etONs6czboLD039USn6NSOJYQQwkQ9OfCEu5PvAlDql1LYlrBVOZF6XDq58Lb/21TcVxGPeR5U3FeR2g9qU25dOdBA0C9B3P/pvtoxhRBGRhrRc4BMLiqEEEIIkf1CokJovKIxV8Ou4uXgxYFeB/B29FY71msr6lSUje9vxNLMkg1+G/hq/1dqRxJCCGGC4kLj8OvuBwoU6lsIt27GOcF2TtKYaXBs6IhDRwccGzqiMdPg3M6Z4j8WB+DW/90idFOoyimFEMZEGtFzQFJP9PPnITZW3SxCCCGEELlRaFQojVc05kroFQrnK8yBXgco6lRU7VhvrG6RuixuuxiAKUemsPzccpUTCSGEMCWKTuFqr6vEBcVh62tLydkl1Y5k1DyHeeLxiQco4Nfdj8gzkWpHEkIYCWlEzwFFi0KBAvDiBVy8qHYaIYQQQojcJSw6jCYrm3Ap5BIe+Tw40OsAxQsUVztWlulRqQdf1P0CgP5b+nMk4IjKiYQQQpiK+z/d5/GOx2isNJT9oyxmdmZqRzJqGo2GErNL4NTcCV20jottLxJzL0btWEIIIyCN6DlAo5EhXYQQQgghssPj549purIpFx5eoJB9Ifb33E/Jgrmvl93kdybzru+7vNC9oOMfHbn95LbakYQQQhi5iFMR3B6TWF+UmFkC+wr2KicyDVpzLeXWlsOuvB1xQXFcbHuR+Mh4tWMJIVQmjeg5JGlIF2lEF0IIIYTIGk+eP6HpyqacCz6Hm50b+3vup7RzabVjZQutRsvyDsup6l6VsOgw2qxuw9OYp2rHEkIIYaTin8ZzpesVlHgFl84ueAz0UDuSSTF3MKfC1gpYuFkQdT6KK92uoIuXCb6FyMukET2HJDWinz6tbg4hhBDidf3888/4+PhgbW1NzZo1OXnyZKplGzZsiEajSfZo3bq1voyiKIwbNw53d3dsbGxo0qQJN27cyIm3InKB8Jhwmv3WjLNBZ3GxdWFfz334uviqHStb2VnasbnrZjzyeeAX5sf7698nXic944QQQhhSFIVrA68RczsGax9rSi0qhUajUTuWybH2tqbC5gpobbQ83vaYWyNuqR1JCKEiaUTPIUnDuVy+DFFR6mYRQgghMuuPP/5gxIgRjB8/nrNnz1KpUiWaN29OSEhIiuU3bNhAUFCQ/nHp0iXMzMx477339GWmTZvG7NmzWbBgASdOnMDOzo7mzZsTEyPjToq0RcRG0OK3FpwOPI2zrTP7eu6jnGs5tWPliMIOhdncdTM25jbsurWL4TuHqx1JCCGEkQlaEkToH6FozDX4/u6LhaOF2pFMlsNbDviuTPyS/sGcB9yfc1/lREIItUgjeg4pXBjc3UGng3Pn1E4jhBBCZM6MGTPo378/ffr0oWzZsixYsABbW1t+/fXXFMsXKFCAQoUK6R979uzB1tZW34iuKAozZ87kq6++on379lSsWJEVK1YQGBjIpk2bcvCdCVMTGRtJy1UtOfHgBAVsCrC3x14quFVQO1aOquZRjd86/QbA3FNz+fnkzyonEkIIYSyiLkdxc8hNAIp+W5T8b+dXOZHpc3nXhWJTiwFwc9hNHm17pHIiIYQapBE9B8m46EIIIUxRXFwcZ86coUmTJvplWq2WJk2acOzYsQxtY8mSJXTt2hU7OzsA7ty5Q3BwsME28+fPT82aNTO8TZH3PIt7RqvVrfjn3j84WTuxt8deKhWqpHYsVXTy7cR373wHwNCdQ9l9a7fKiYQQQqgtITqBy+9fRvdch1NzJ7z+z0vtSLmG12gvCn1UCHRwpesVnp1/pnYkIUQOM1c7QF5SvTps3iyN6EIIIUxLWFgYCQkJuLm5GSx3c3Pj6tWr6T7/5MmTXLp0iSVLluiXBQcH67fx6jaT1r0qNjaW2NhY/e8REREA6HQ6dLo3m+hJp9OhKMobb0cteSF/VFwUbX5vw5GAI+S3ys+uD3dRya2SUbxntfb/6Nqj8QvzY+WFlby37j3+6fPPa40Lnxc+P8bMlPObcnbI+vymuh9E7nFz2E2iL0djWcgS3xW+aLQyDnpW0Wg0lJpfipg7MYTvD+dim4tUPVEVKw8rtaMJIXKINKLnIJlcVAghRF60ZMkSKlSowFtvvfVG25kyZQoTJ05Mtjw0NPSNx1HX6XQ8ffoURVHQak3vRr3cnj/6RTQ9d/bkaOBR8lnmY02rNXiZeaU6Jn9OU3P/T35rMtdCrnEy+CStV7dmW4dtFLQpmKlt5PbPj7Ez5fymnB2yPn9kZGQWpBLi9YT8EULQoiDQgO9vvli6WqodKdfRWmgpt74c/9b+l+ir0Vxsd5Eqh6pgZmemdjQhRA6QRvQclDS56PXrEB4Ojo5qphFCCCEyxtnZGTMzMx4+fGiw/OHDhxQqVCjN50ZFRbFmzRomTZpksDzpeQ8fPsTd3d1gm5UrV05xW2PHjmXEiBH63yMiIvDy8sLFxQUHB4fMvKVkdDodGo0GFxcXk20Iyq35n794zod/fKhvQN/ZfSdve76tUtKUqb3/N3+wmVq/1uJO+B0+OfgJu7rvwso84z3j1M7/piS/ekw5O2R9fmtr6yxIJUTmPb/9nGsDrgFQ5IsiODV2UjlR7mXhZEGFbRU4W/Msz848w+9DP8qtL4fGTHr9C5HbSSN6DnJ2Bh8f8PeHM2egcWO1EwkhhBDps7S0pFq1auzbt48OHToAiQ0P+/btY/DgwWk+d926dcTGxvLhhx8aLC9atCiFChVi3759+kbziIgITpw4wSeffJLitqysrLCySt4wqNVqs6TxQ6PRZNm21JAb88fEx9BpXSf23dmHvaU9Oz/cSW2v2iqmTJ2a+98tnxtbP9hKrSW1OBxwmE+2f8LS9kvRaDJ+QZ8bPz+mxJTzm3J2yNr8proPhGnTxem40vUKCREJONRxwGeCj9qRcj2bYjaU/6s85945R9imMG6PuU3x6cXVjiWEyGZSy+cwGdJFCCGEKRoxYgSLFi1i+fLl+Pn58cknnxAVFUWfPn0A6NmzJ2PHjk32vCVLltChQwcKFjQcXkKj0TBs2DC++eYbNm/ezMWLF+nZsyceHh76hnqRt8XGx9Lpj07svrUbOws7dnTfYbQN6MagrEtZ/uj8B1qNluXnlzPt6DS1IwkhhMgBd768Q+SpSMydzCm7uixac2nmyQn5a+enzNIyANz74R6BCwNVTiSEyG7SEz2HVa8O69bJ5KJCCCFMy/vvv09oaCjjxo0jODiYypUrs3PnTv3EoAEBAcl64F27do0jR46we/fuFLc5evRooqKiGDBgAOHh4dStW5edO3fK7fCC2PhY3l37Ljtu7sDWwpZtH2yjbpG6ascyei1KtGBWi1l8tuMzxu4bS6mCpejo21HtWEIIIbLJox2PuPfDPQBK/1oa6yJyDpWT3Lq58fzmc/zH+XP90+tY+1hToFkBtWMJIbKJNKLnsKSe6NKILoQQwtQMHjw41eFbDh48mGxZ6dKlURQl1e1pNBomTZqUbLx0kbck6BI45H+Ia4HXKB1dmlpetej6Z1e23diGjbkNW7ttpYFPA7VjmozBbw3GL9SPeafn8eHGDznieIQq7lXUjiWEECKLxQbGcrXnVQAKDy6MSwcXlRPlTd5fefP8xnMernzI5fcuU/WfqtiVs1M7lhAiG6h6n09CQgJff/01RYsWxcbGhuLFizN58mSDC25FURg3bhzu7u7Y2NjQpEkTbty4YbCdx48f0717dxwcHHB0dOSjjz7i2bNnOf12MqRatcSfAQEQEqJuFiGEEEIINW3w24DPLB8ar2zMp/s+pfHKxhSYVoDN1zZjbW7N5m6baVS0kdoxTc6slrNoVrwZ0S+iaft7WwIj5RZzIYTITZQEBb8P/XgR9gL7yvYUm15M7Uh5lkajofSi0uSvn5+EiAQutL5A3MM4tWMJIbKBqo3o33//PfPnz2fu3Ln4+fnx/fffM23aNObMmaMvM23aNGbPns2CBQs4ceIEdnZ2NG/enJiYGH2Z7t27c/nyZfbs2cPWrVv5+++/GTBggBpvKV0ODlC6dOK/ZVx0IYQQQuRVG/w20HltZ+5H3DdYHhOfeI43qvYomhRrokY0k2euNeePzn9QxrkMDyIf0O73dkS/iFY7lhBCiCxy97u7hB8IR2unpewfZTGzNlM7Up6mtdJSfkN5bErYEHs3lovtL5LwPEHtWEKILKZqI/o///xD+/btad26NT4+PnTu3JlmzZpx8uRJILEX+syZM/nqq69o3749FStWZMWKFQQGBrJp0yYA/Pz82LlzJ4sXL6ZmzZrUrVuXOXPmsGbNGgIDjbPXjQzpIoQQQoi8LEGXwNCdQ1FIfbifZeeWkaCTC9DX5WjtyNZuWyloU5AzQWfotakXOkWndiwhhBBvKPxwOP4T/AEoNb8UtqVs1Q0kALAoaEGFbRUwL2BO5IlIrva6iqJL/TxHCGF6VB0TvXbt2ixcuJDr169TqlQpzp8/z5EjR5gxYwYAd+7cITg4mCZN/tcLKX/+/NSsWZNjx47RtWtXjh07hqOjI9WrV9eXadKkCVqtlhMnTtCxY/LJlGJjY4mNjdX/HhERAYBOp0One7OLC51Oh6IoaW6nenX47Tctp04p6IzsoJqR/MbMlPObcnaQ/GqT/OrKyvymug+EyIzDAYeT9UB/1b2IexwOOExDn4Y5EyoXKl6gOBvf30jjFY1Zf2U94w+MZ/I7k9WOJYQQ4jW9ePQCvw/8QAduPd0o1KOQ2pHES2xL2VJ+Q3nONz1P6LpQ7pS8Q7FvZagdIXILVRvRx4wZQ0REBGXKlMHMzIyEhAS+/fZbunfvDkBwcDAAbm5uBs9zc3PTrwsODsbV1dVgvbm5OQUKFNCXedWUKVOYOHFisuWhoaEGw8S8Dp1Ox9OnT1EUBa025Y7+xYpZAAU5eVLHw4ehaDRv9JJZKiP5jZkp5zfl7CD51Sb51ZWV+SMjI7MolRDGKygyKEvLidTV867HwrYL6fNXH745/A2lnUvzYcUP1Y4lhBAikxRF4Wqfq8Tej8WmlA0lfy6pdiSRAscGjpReXJqrva4S8F0ANiVscO/jrnYsIUQWULURfe3ataxatYrVq1dTrlw5zp07x7Bhw/Dw8KBXr17Z9rpjx45lxIgR+t8jIiLw8vLCxcUFBweHN9q2TqdDo9Hg4uKSakNKo0ZgZqYQGmpGXJwrXl5v9JJZKiP5jZkp5zfl7CD51Sb51ZWV+a2trbMolRCmzz2fXHRmhd6Ve3M17CrfH/2ejzZ/RFHHotQpUkftWEIIITLhwewHPNryCI2lhrJ/lMXcXtXmHJGGQj0L8fzGc+5+c5frA65j7WONUyMntWMJId6QqkfdUaNGMWbMGLp27QpAhQoVuHv3LlOmTKFXr14UKpR4a9LDhw9xd//fRdTDhw+pXLkyAIUKFSIkJMRgu/Hx8Tx+/Fj//FdZWVlhZWWVbLlWq82SxhuNRpPmtuztoXx5OH8ezp7V4u39xi+ZpdLLb+xMOb8pZwfJrzbJr66sym+q71+IjIjXxTPz+Ey+3v91muU0aPB08KRekXo5lCz3+67xd1x7dI1NVzfR8Y+OnOx/Eh9HH7VjCSGEyIDIM5HcGnULgOI/Fidf5XwqJxLp8ZnoQ/SNaEL/COVyp8tUPV4V29Iyfr0QpkzVK/Xo6OhkjQVmZmb68WCLFi1KoUKF2Ldvn359REQEJ06coFatWgDUqlWL8PBwzpw5oy+zf/9+dDodNWvWzIF38XqShnCXyUWFEEIIkRecDjzNW4veYtSeUcQkxFDWpSya//57WdLvM1vMxExrpkbUXEmr0fJbx9+oUqgKodGhtFndhojYCLVjCSGESEd8ZDxXul5BeaHg3MGZwoMKqx1JZIBGq6HMsjI41HIgPjyeC60vEBcWp3YsIcQbULURvW3btnz77bds27YNf39/Nm7cyIwZM/STgWo0GoYNG8Y333zD5s2buXjxIj179sTDw4MOHToA4OvrS4sWLejfvz8nT57k6NGjDB48mK5du+Lh4aHiu0tbjRqJP0+fVjeHEEIIIUR2ehb3jBG7RlBzcU3+Df4XJ2snlrRbwqVPLrG+y3oKOxg2Bng6eLK+y3o6+XZSKXHuZWdpx+Zum3G3d+dy6GW6ru9KbHwsB/0PsvHmRg76HyRBl6B2TCGEEP9RFIXrH1/n+c3nWBWxovSS0miMaVI1kSYzazPK/1Ue66LWxNyK4VKHS+hidWrHEkK8JlWHc5kzZw5ff/01n376KSEhIXh4eDBw4EDGjRunLzN69GiioqIYMGAA4eHh1K1bl507dxqMGbtq1SoGDx5M48aN0Wq1vPvuu8yePVuNt5RhLzeiKwpGNbmoEEIIIURW2HZ9G59u/5SApwEAdCvfjZ+a/4SbfeKk8Z18O9G+dHsO+R/iWuA1SnuUpoFPA+mBno08HTzZ3G0z9ZfWZ8fNHThPd+ZZ3DOD9bNazJIvMYQQwggELw8mZHUImEHZ1WWxKGChdiSRSZYullTYVoGztc4ScTSCq32v4vubr3wZIoQJUrURPV++fMycOZOZM2emWkaj0TBp0iQmTZqUapkCBQqwevXqbEiYfcqXB0tLePIEbt2CEiXUTiSEEEIIkTWCnwUzdOdQ1l5eC4CPow/zW8+nRYkWycqaac1o6NOQsrZlcXV1lXkBckB1j+oMqjGIH479YNCADvAg4gGd13aWuwGEEEJlUX5R3Bh0A4Cik4qSv05+lROJ12Xna0f5P8tzocUFQlaHYFvKFp/xPmrHEkJkklylqMTSEv6bG1WGdBFCCCFErqBTdCw+uxjfn31Ze3ktWo2W/6v1f1z65FKKDehCHQm6BNZcXpPiOgUFgGE7h8nQLkIIoZKE5wlc6XoFXbQOx8aOFPm8iNqRxBtyauxEyfklAfCf4M/DVQ9VTiSEyCxpRFdR0pAuMrmoEEIIIUzd1bCrNFzWkP5b+hMeE05V96qc6n+K6c2mY2dpp3Y88ZLDAYe5H3E/1fUKCvci7nE44HAOphJCCJHk1shbRF2IwsLVInHoDzMZ+iM38OjngddoLwCu9r1K+JFwdQMJITJFGtFVVL164k9pRBdCCCGEqYqNj2XiwYlUWlCJwwGHsbWwZUazGZzod4Kq7lXVjidSEBQZlKXlhBBCZJ3QP0MJnB8IgO8KX6wKWamcSGSlYlOK4dzJGSVO4VKHS0TfjFY7khAig1QdEz2vS+qJfvYsJCSAmcyhJYQQQggTcvjuYQZsHcDVsKsAtCzRknmt5+Hj6KNuMJEm93zuWVpOCCFE1nju/5yrHyXWqV6fe1GgeQGVE4msptFq8F3py7l754g8FcnF1hepeqyqTBorhAmQnugqKlMG7OwgKgquXlU7jRBCCCFExoTHhDNwy0DqL6vP1bCruNq5subdNWz7YJs0oJuAekXq4engiYaUhwfQoMHLwYt6RerlcDIhhMi7dC90+HXzI+FpAg5vO1B0clG1I4lsYmZrRvnN5bEqYsXz68+5/O5ldHE6tWMJIdIhjegqMjODqv/d5SxDugghhBDC2CmKwrrL6/D92ZeFZxcC0K9KP64Ousr75d9Ho5ExW02BmdaMWS1mAaTYkK6gMLPFTMy0cpukEEJkJyVBIfxgOBEbI7jW5xoRxyMwy2+G7+++aC2kuSY3sypkRYWtFTDLZ0b4wXCuD7yOoihqxxJCpEGOyipLGtLl9Gl1cwghhBBCpCXgaQDt1rSjy/ouBD8LpnTB0hzsdZBF7RbhZOOkdjyRSZ18O7G+y3oKOxROtk6DhiL5i6iQSggh8o7QDaEc9znOhcYXCPw0kNDfQwFw7++OjY+NyulETrCvYE/ZtWVBC8HLggmYGqB2JCFEGqQRXWUyuagQQgghjFmCLoFZx2dR9ueybL2+FQutBePqj+Pcx+do4NNA7XjiDXTy7YT/UH/29djHvMbz2NdjH++Xex8FhX6b+/Ei4YXaEYUQIlcK3RDK5c6Xib0fm2zd/R/vE7ohVIVUQg0FWxSk5JySANz54g4ha0NUTiSESI1MLKqypJ7o585BXBxYWqoaRwghhBBC71zwOfpv6c/pwMRb5uoWqcsvbX6hrEtZlZOJrGKmNaOhT0PK2pbF1dWV8m7l2XN7D+cfnmfGsRl8XvdztSMKIUSuoiQo3Bx6E9IYuePmsJs4t3dGYybDpOUFhT8tzPMbz7k/8z5+Pf2wKmJF/rfzqx1LCPEK6YmusuLFwdExsQH90iW10wghhBBCQPSLaEbvGU31hdU5HXia/Fb5+aXNLxzqfUga0HM5VztXfmr+EwATDk3gxqMbKicSQojcJfxweIo90PUUiL0XS/jh8BzLJNRX/IfiFGxbECVW4VL7Szz3f652JCHEK6QRXWUajQzpIoQQQgjjsevmLsrPK8/0f6aToCTwXtn38Bvkx4BqA9Bq5NQxL+hRsQdNizUlJj6GAVsHyERnQog0TZ06FY1Gw7Bhw9SOYhLiguKytJzIHTRmGnxX+2Jf2Z4XIS+42PoiL8JlWDUhjIlcCRkBmVxUCCGEEGoLiQrhww0f0mJVC+6E38HLwYvNXTez9r21uOdzVzueyEEajYZf2vyCrYUtB/0P8uu/v6odSQhhpE6dOsUvv/xCxYoV1Y5iMizdMzaGa0bLidzD3N6c8lvKY+lhSfSVaK50uYLuhU7tWEKI/0gjuhFIakSXnuhCCCGEyGmKorDs3DJ8f/Zl1cVVaNAwtOZQLn96mbal26odT6ikqFNRJjeaDMD/7fk/giKDVE4khDA2z549o3v37ixatAgnJye145gMx3qOWHlaQWrDnWvAyssKx3qOORlLGAlrT2sqbK2A1k7Lkz1PuDH4htwRJoSRkEZ0I5A0nMulSxAdrW4WIYQQQuQdNx7doPGKxvT5qw+Pnz+mklslTvQ7wcwWM8lnlU/teEJlQ2oOobpHdcJjwhmyc4jacYQQRmbQoEG0bt2aJk2aqB3FpGjMNJSYVSKVlYk/SswsIZOK5mH5quSj7O9lQQNBC4O4P+O+2pGEEIC52gEEeHqCmxs8fAjnz0OtWmonEkIIIURuFpcQx/Sj05n892RiE2KxMbdhQsMJDH97OBZmFmrHE0bCXGvO4raLqbawGuuvrGfT1U10KNNB7VhCCCOwZs0azp49y6kM3k4dGxtLbOz/JtOMiIgAQKfTodO92XAVOp0ORVHeeDs5qWCHghSdVpQ7o+4YLLfytKL4jOIU7FDQZN6PKe7/JMacvUDrAhT7sRi3R9zm1qhbWBW1wrmDs0EZY86fEZJfXZLfcFsZIY3oRkCjSRzSZevWxCFdpBFdCCGEENnl2L1jDNg6gEshlwBoWqwpC9osoJhTMZWTCWNUqVAlRtcZzZQjUxi0fRCNfBqR3zq/2rGEECq6d+8eQ4cOZc+ePVhbW2foOVOmTGHixInJloeGhhITE/NGeXQ6HU+fPkVRFLRa07nZPtYu8UsFi9IW2PSzwcHHAbtadujMdISEhKicLuNMdf+D8We36GqB4wVHwpeF49fdD+9N3lhX+t//c8aePz2SX12S/38iIyMzVE4a0Y1E9er/a0QXQgghhMhqT2Oe8sW+L5h/ej4KCs62zsxsPpMPKnyARiO3jIvUfV3/a9ZfWc+NxzcYs3cM89vMVzuSEEJFZ86cISQkhKpVq+qXJSQk8PfffzN37lxiY2MxMzMzeM7YsWMZMWKE/veIiAi8vLxwcXHBwcHhjfLodDo0Gg0uLi4m1RAUHZQ4lmuBOgVw7O5ocvmTmOr+B9PI7vqLK5eCLvFk1xMC+wRS+VhlrL0SG9JNIX9aJL+6JP//ZPQLYWlENxJJk4uePq1uDiGEEELkPhv9NjJ4x2ACIwMB6F25Nz80/YGCtgVVTiZMgY2FDYvaLqLh8oYsOLOADyp8QD3vemrHEkKopHHjxly8eNFgWZ8+fShTpgyff/55sgZ0ACsrK6ysrJIt12q1WdJ4o9FosmxbOeX51ecA2PnamWT+l5lyfqPPbgnl1pbj3zr/EnUpisvtLlPlSBXM8yU25xl9/nRIfnVJ/kQZfb5p7qVcKGly0WvX4L/h4YQQQggh3sj9iPt0/KMjndZ2IjAykBIFSrC3x16Wtl8qDegiUxr4NKB/1f4A9N/Sn5j4Nxt+QQhhuvLly0f58uUNHnZ2dhQsWJDy5curHc9kRPsl9kS3LWOrchJh7MwdzKmwtQIWbhZEXYjiStcrJMQmEH4wnIiNEYQfDEdJUNSOKUSuJ43oRsLVFYoUAUWBM2fUTiOEEEIIU5GgS+Cg/0E23tzIQf+DJOgSSNAl8PPJnyn7c1k2Xd2EudacL+p+wYWPL9C4WGO1IwsTNa3pNArZF+Lao2t8+/e3ascRQgiTpSQoRF9PbES3KWOjchphCqy9ramwpQJaGy2Ptz/mqPNRLjS+QOCngVxofIHjPscJ3RCqdkwhcjUZzsWI1KgBAQGJQ7o0aqR2GiGEEEIYuw1+Gxi6cyj3I+7rl7nZuZHfOj/XH10H4G3Pt1nYZiEV3CqoFVPkEo7WjsxtOZfO6zoz9ehUupTrIp8rIQQABw8eVDuCSXl+5zlKnILWWou1tzWRjzI2qZ3I2xxqOFB4UGHu/XAP3TOdwbrYB7Fc7nyZcuvL4dLJRaWEQuRu0hPdiCQN6SKTiwohhBAiPRv8NtB5bWeDBnSAh1EPuf7oOtbm1vzc6meO9DkiDZ0iy3Ty7USHMh2I18XTb0s/EnQJakcSQgiTE331v17opWzQmMnk3iJjlASFkDUhqaxM/HFz2E0Z2kWIbCKN6EYkaXJRaUQXQgghRFoSdAkM3TkUhdQvkgpYF2BgtYGYaZNP8CbE69JoNMxtORcHKwdOPjjJ3JNz1Y4khBAmRz8euq+Mhy4yLvxwOLH3Y1MvoEDsvVjCD4fnWCYh8hJpRDci1aol/vT3h7AwVaMIIYQQwogdDjicrAf6qwKfBXI44HAOJRJ5SWGHwkxrMg2AL/d/iX+4v7qBhBDCxCT1RJdJRUVmxAXFZWk5IUTmSCO6EXF0hJIlE/99+rSqUYQQQghhxIIig7K0nBCZ1b9af+oVqUfUiyg+3voxiiK3jgshREYl9US387VTOYkwJZbulllaTgiROdKIbmSShnSRRnQhhBBCpMY9n3uWlhMis7QaLYvaLsLSzJJdt3ax+uJqtSMJIYRJUBRFeqKL1+JYzxErTytIbRh9DVh5WeFYzzEnYwmRZ0gjupGRcdGFEEIIkZ56Rerh6eCJJpWrKA0avBy8qFekXg4nE3lJaefSjKs/DoBhu4YRFi3jEQohRHpehLwg/kk8aBInFhUiozRmGkrMKvHfLykUUKD4jOIyWa0Q2UQa0Y1M9eqJP6URXQghhBCpMdOaMavFrBTXJTWsz2wxUyYVFdluVJ1RVHCtQFh0GCN2jVA7jhBCGL2kXujWPtaY2Ug9LTLHpZML5daXw6qwleGK/9rNYwPSmHhUCPFGpBHdyFSpAlotBAVBYKDaaYQQQghhrDr5dqJv5b7Jlns6eLK+y3o6+XZSIZXIayzNLFncbjEaNKy8sJJdN3epHUkIIYxalF8UALa+MpSLeD0unVx42/9tKu6riMc8Dyruq0jJBYkT7N358g7R16NVTihE7iSN6EbGzg7KlUv8t/RGF0IIIURa7kbcBeDjqh8zr/E89vXYx52hd6QBXeSotwq/xdCaQwEYuHUgz+KeqZxICCGMl348dGlEF29AY6bBsaEjDh0dcGzoiEd/D5yaOqGL0XG171WUBJnwW4isJo3oRkiGdBFCCCFEep7GPOWQ/yEAhr49lI4lOtLQp6EM4SJUMfmdyXjn9+bu07uMOzBO7ThCCGG0ov1kUlGR9TQaDaUXl8YsnxkRRyO4P+e+2pGEyHWkEd0IJU0uevq0ujmEEEIIYbx23drFC90LShcsTamCpdSOI/I4e0t7FrRZAMCsE7M4+eCkyomEEMI4JfVEt/O1UzmJyG2si1hT/IfiANz54g7RN2VYFyGykjSiG6GkRvRTp0CRO3CEEEIIkYIt17cA0LZUW5WTCJGoRYkWfFjxQ3SKjn6b+/Ei4YXakYQQwqjEP4vXT/woPdFFdnDv745TEyd0z3Vc63sNRSeNSkJkFWlEN0IVKoCFBTx+DHfuqJ1GCCGEEMYmXhfPtuvbAGhbWhrRhfH4qflPONs6czHkItP/ma52HCGEMCrPrz8HwMLFAouCFiqnEbmRRqOh1KJSmNmb8fTwUx78/EDtSELkGtKIboSsrKBSpcR/y5AuQgghhHjVP/f+4UnMEwrYFKC2V2214wih52zrzMzmMwGYdGgS18KuqRtICCGMiIyHLnKCjY8NxaYXA+D2mNs8v/Vc5URC5A7SiG6kZHJRIYQQQqRmy7XEoVxalWyFudZc5TRCGPqgwge0KNGC2IRYBmwdgE7RqR1JCCGMQtJ46La+0oguspfHAA8cGzmii9Zx9aOrMqyLEFlAGtGN1MvjogshhBCZ1bdvXyIjI9WOIbLJ5uubAWhXqp3KSYRITqPRsKD1Auws7Pj77t8sPrtY7UhCCGEUovyiAOmJLrKfRquh9JLSaO20PD30lMD5gWpHEsLkSSO6kUpqRD9zBnTSeUcIIUQmLV++nOfPs/bWzZ9//hkfHx+sra2pWbMmJ0+eTLN8eHg4gwYNwt3dHSsrK0qVKsX27dv16ydMmIBGozF4lClTJksz50bXwq5x/dF1LLQWNC/RXO04QqTI29Gbb9/5FoBRe0YRGCkX70IIIT3RRU6yKWpD8e+LA3Dr81s8vy3DugjxJqQR3Uj5+oKNDTx7BtdkKEkhhBCZpCgKGo0my7b3xx9/MGLECMaPH8/Zs2epVKkSzZs3JyQkJMXycXFxNG3aFH9/f9avX8+1a9dYtGgRhQsXNihXrlw5goKC9I8jR45kWebcasv1xKFcGvo0xMHKQeU0QqRu8FuDeavwW0TERjB4+2C14wghhKp08Tr9xKLSE13kFI9PPMjfID+6KB3XPromw7oI8QZkEE0jZW4OVavC0aOJQ7r4+qqdSAghhKkZMmQINjY2Ka779ddfM7WtGTNm0L9/f/r06QPAggUL2LZtG7/++itjxoxJcfuPHz/mn3/+wcLCAgAfH59k5czNzSlUqFCmsuR1SY3obUu1VTmJEGkz05qxqO0iqi2sxsarG9ngt4FOvp3UjiWEEKqIuROD8kJBa6PFuoi12nFEHqHRaiizpAynKp4i/GA4gb8EUviTwuk/UQiRjDSiG7EaNRIb0U+fhp491U4jhBDC1CiKgqK8eW+TuLg4zpw5w9ixY/XLtFotTZo04dixYyk+Z/PmzdSqVYtBgwbx119/4eLiwgcffMDnn3+OmZmZvtyNGzfw8PDA2tqaWrVqMWXKFIoUKZLiNmNjY4mNjdX/HhERAYBOp0P3hmOf6XQ6FEV54+1kt0fRjzgSkNhbv3XJ1vq8ppI/NZJfXdmZv7xLeUbXHs13R75j0PZBNPRuiKO1Y5a+hux/9Zhydsj6/Ka6H0TOiPb7byiX0rZotFl3t6AQ6bEpbkOxqcW4OeQmt0bdokDLAtj4pNzRRgiROmlEN2LVqyf+lMlFhRBCZJZGo2H27Nm4urq+8bbCwsJISEjAzc3NYLmbmxtXr15N8Tm3b99m//79dO/ene3bt3Pz5k0+/fRTXrx4wfjx4wGoWbMmy5Yto3Tp0gQFBTFx4kTq1avHpUuXyJcvX7JtTpkyhYkTJyZbHhoaSkxMzBu9R51Ox9OnT1EUBa3WeEe7W399PTpFh28BX2zjbPXD6ZhK/tRIfnVld/7+pfvzx8U/uPX0FkO2DOGHBj9k6fZl/6vHlLND1ueXCb1FWmQ8dKGmwoMKE7oulKeHn3Kt3zUq7amUpUM/CpEXSCO6EUuaXPTcOXjxAv67G14IIYRIV1b0QH8TOp0OV1dXFi5ciJmZGdWqVePBgwdMnz5d34jesmVLffmKFStSs2ZNvL29Wbt2LR999FGybY4dO5YRI0bof4+IiMDLywsXFxccHN5sbHCdTodGo8HFxcWoG4L+Pvw3AB18Oxh8QWIq+VMj+dWVE/kXt19MoxWNWHV1FR+99RENvBtk2bZl/6vHlLND1ue3tpYhOkTq9D3RZTx0oQKNVkPpX0tzuuJpwveFE7QoCI8BHmrHEsKkSCO6EStRAvLnh6dP4fJlqFxZ7URCCCFMRa9evVIdDz2znJ2dMTMz4+HDhwbLHz58mOp45u7u7lhYWBgM3eLr60twcDBxcXFYWlome46joyOlSpXi5s2bKW7TysoKKyurZMu1Wm2WNH5oNJos21Z2iEuIY+fNnQC0L9M+WU5jz58eya+u7M7fsGhDBlYbyC9nfmHg1oFc+OQC1uZZ1+Ao+189ppwdsja/qe4DkTOkJ7pQm20JW4p+V5Rbw29xa+QtCjQvgLW3fPknREZJLW/EtFqoVi3x3zKkixBCiMxYunRpikOivA5LS0uqVavGvn379Mt0Oh379u2jVq1aKT6nTp063Lx502B82OvXr+Pu7p5iAzrAs2fPuHXrFu7u7lmSO7f5++7fRMZF4mbnRo3CNdSOI0Smfd/ke9zt3bnx+AaTD01WO44QQuQYRVGI8osCpCe6UJfnZ5441HEg4VkC1/pfU/3uVSFMiTSiG7mkIV1On1Y3hxBCCNPSqVOnNB+ZNWLECBYtWsTy5cvx8/Pjk08+ISoqij59+gDQs2dPg4lHP/nkEx4/fszQoUO5fv0627Zt47vvvmPQoEH6Mv/3f//HoUOH8Pf3559//qFjx46YmZnRrVu3N98BudDma5sBaFOqDVqNnMIJ05PfOj/zWs8DYNo/0zgffF7lREIIkTPiguNIeJoAWrApKRM6CvVozDSU+bUMWmstT/Y8IWhJkNqRhDAZcgVm5JIa0aUnuhBCiMzInz+//rFt2za0Wq3Bssx6//33+eGHHxg3bhyVK1fm3Llz7Ny5Uz/ZaEBAAEFB/zsJ9/LyYteuXZw6dYqKFSsyZMgQhg4dypgxY/Rl7t+/T7du3ShdujRdunShYMGCHD9+HBcXlzffAbmMoihsub4FgLal2qqcRojX16FMB971fZd4XTz9tvQjQZegdiQhhMh2SUO5WBe1xszaLJ3SQmQv21K2FP22KAC3RtwiJiBG5URCmAYZE93IVa+e+PPiRYiJAZmrRgghREYsXbpU/+/169czbdo0ihUr9kbbHDx4MIMHD05x3cGDB5Mtq1WrFsePH091e2vWrHmjPHnJpZBL+If7Y21uTZNiTdSOI8QbmdNyDntv7+V04Glmn5jN8FrD1Y4khBDZKmlSUTtfO5WTCJHIc6gnoetDiTgWwbUB16i4oyIajUbtWEIYNemJbuSKFAEXF4iPh/Nyx6sQQgiRJyX1Qm9ctDF2lnIBLkybez53fmj2AwBfHfiKO0/uqJxIiNyvQIECaT5E9tJPKirjoQsjoTHTUGZpGTRWGp7sekLw0mC1Iwlh9KQnupHTaBKHdNm+PXFIl5o11U4khBBCiJwmQ7mI3OajKh+x6uIqDvof5ONtH7Oz+07pASdEFuvSpQtDhgyhbt26KIqCTqdj+PDhFC1aVO1oeU5ST3RbX2lEF8bDtrQtRb8pyu1Rt7k5/CZOzZyw9pThD4RIjTSim4Dq1f/XiC6EEEJkxOzZs/X/jo+PZ9myZTg7O+uXDRkyRI1Y4jU8fPaQE/dPAImTigqRG2g0Gha2WUiF+RXYfWs3v134jR6VeqgdS4hcpVevXrRt25aQkBBu3brFhAkT+PHHH/n444/56quvXmuOFPF6pCe6MFZew70IXR9K5IlIrg+4ToVtFeRLbSFSIcO5mICkyUVPn1Y3hxBCCNPx008/6R+FChVi5cqV+t9nzpypdjyRCdtubENBoZp7NQo7FFY7jhBZpmTBkkxoOAGAYbuGERIVom4gIXKZVq1aERUVxePHjylQoACzZ8/mzJkz3Lx5kxIlSjBnzhwSEmRy3+wWHxlP7P1YQHqiC+Pz8rAuj3c85uGKh2pHEsJoSSO6CUiaXNTPDyIj1c0ihBDCNNy5cyfVx+3bt9WOJzJh87XNALQr3U7lJEJkvZG1RlLJrRKPnz9m+C6ZYFSIrDRw4EAqV66Mm5ubflmpUqXYuHEjf/75JytWrKBs2bJs2rRJvZB5QPS1xF7oFm4WWDhZqJxGiOTsfO0oOjFxmKcbQ28Q+yBW5URCGCdpRDcBhQqBpycoCpw9q3YaIYQQpiQuLo5r164RHx+vdhTxGp6/eM6e23sAGQ9d5E4WZhYsbrcYrUbL6our2X5ju9qRhMg12rVrx99//w1Ap06dDB4zZ86kcOHCBAYG8u6776qcNHfTj4cuQ7kII+Y50pN8NfKR8DSBawOvoSiK2pGEMDrSiG4iZEgXIYQQmREdHc1HH32Era0t5cqVIyAgAIDPPvuMqVOnqpxOZNT+O/uJfhGNp4MnlQtVVjuOENmiukd1hr+d2Av9460fExkrt14KkRXatGmDtXXiJIH58+dP9nBycqJz58707NlT5aS5W9J46Ha+dionESJ1WnNt4rAulhoeb3vMw99kWBchXiUTi5qI6tVh40aZXFQIIUTGjB07lvPnz3Pw4EFatGihX96kSRMmTJjAmDFjVEwnMmrL9S1AYi90meRJ5GYTG05kg98G7oTf4av9XzGr5Sy1IwmRqyxdulTtCHmW9EQXpsKunB0+E3y488Udbg65iVMTJ6zcrdSOJYTRkJ7oJkJ6ogshhMiMTZs2MXfuXOrWrWvQ+FquXDlu3bqlYjKRUYqiGDSiC5Gb2Vna8UubXwCYc3IOx+8fVzmRELlTaGgoR44c4ciRI4SGhqodJ09I6okuk4oKU+A1ygv7avbEh8dzfeB1GdZFiJe8USN6bKxMNpBTkiYXvXULHj9WN4sQQgjjFxoaiqura7LlUVFR0qPZRJwNOktgZCB2FnY0KtpI7ThCZLumxZvSs1JPFBT6be5HXEKc2pGEyDWioqLo27cv7u7u1K9fn/r16+Ph4cFHH31EdHS02vFyLd0LHc9vPAekJ7owDVpzLWWWlUFjoeHRlkeErA5RO5IQRiNTjeg7duygV69eFCtWDAsLC2xtbXFwcKBBgwZ8++23BAYGZlfOPM/JCYoXT/y39EYXQgiRnurVq7Nt2zb970kN54sXL6ZWrVpqxRKZkNQLvVnxZlibW6ucRoicMaPZDFxsXbgcepnvj3yvdhwhco0RI0Zw6NAhtmzZQnh4OOHh4fz1118cOnSIkSNHqh0v14q5HYMSr6C102LlKcNiCNNgX94e73HeANz47AaxwdKBVgjIYCP6xo0bKVWqFH379sXc3JzPP/+cDRs2sGvXLhYvXkyDBg3Yu3cvxYoV4+OPP5bbwrKJDOkihBAio7777ju++OILPvnkE+Lj45k1axbNmjVj6dKlfPvtt2rHExmw+dpmANqVbqdyEiFyTkHbgsxqkTge+jeHv8Ev1E/lRELkDn/++SdLliyhZcuWODg44ODgQKtWrVi0aBHr169XO16uFeUXBYBtaVs0WrkTUJiOIp8Xwb6KPfFP4rnxyQ0Z1kUIMtiIPm3aNH766ScePHjAkiVLGDhwIG3btqVJkyZ06dKFSZMmceDAAW7duoWjoyO//fZbdufOk5Ia0WVyUSGEEOmpW7cu586dIz4+ngoVKrB7925cXV05duwY1apVUzueSMf9iPv8G/wvGjS0KtlK7ThC5Kiu5bvSqmQr4hLi6L+lPzpFp3YkIUxedHQ0bm5uyZa7urrKcC7ZSMZDF6ZKa/HfsC7mGsI2hRHyhwzrIoR5RgodO3YsQxsrXLgwU6dOfaNAInVJ46JLI7oQQoiMKF68OIsWLVI7hngNW64lDuVSy6sWrnbJx7YXIjfTaDTMbz2fsj+X5ei9oyw8s5CPq3+sdiwhTFqtWrUYP348K1aswNo6cYiw58+fM3HiRBnmLRtF+/3XiC7joQsTZF/RHu+vvfEf78+NwTdwauSEpZul2rGEUM0bTSwqclbVqqDVwoMHEBSkdhohhBDGLCIiIs2HMG5J46G3LdVW5SRCqKNI/iJMaTwFgNF7RvMg4oHKiYQwbbNmzeLo0aN4enrSuHFjGjdujJeXF//88w+zZs1SO16uldQT3c7XTuUkQryeImOLYF/ZnvhH8Vz/9LoM6yLytAz1RH9ZQkICy5YtY9++fYSEhKDTGd5euX///iwLJwzZ24OvL1y+nDguelu5rhZCCJEKJyenFJcrioJGoyEhISGHE4mMehb3jP13Es+nZDx0kZd9WuNTVl9azfH7x/l0+6dsen+TfpJkIUTmlC9fnhs3brBq1SquXr0KQLdu3ejevTs2NjYqp8udFEWRnujC5GkttJReWpqzNc4StiGM0HWhuHaRuyRF3pTpRvShQ4eybNkyWrduTfny5eVENodVr57YiH7qlDSiCyGESF3RokUJCQlhzJgx1KlTR+04IhP23NpDbEIsxZyK4evsq3YcIVRjpjVjcdvFVPmlCpuvbeZPvz/pXLaz2rGEMFm2trb0799f7Rh5RlxQHAmRCWAGNiXkiwphuvJVzkeRL4twd+Jdbgy6gWNDRyxdZVgXkfdkuhF9zZo1rF27llatZJIrNdSoAcuXJ/ZEF0IIIVLj5+fHnDlz+Pbbb/n333+ZNm0aRYsWVTuWyICXh3KRzgoiryvnWo6xdccy6e9JDN4+mMZFG+Nkk/KdNkKI1K1YsSLN9T179syhJHlHUi90m2I2aK1kJF1h2ry/8CZsYxhRF6K4MfgG5daWUzuSEDku043olpaWlChRIjuyiAyoUSPx56lToCgg19ZCCCFSYmFhwYgRI+jduzeTJk2iYsWKDBgwgK+//hpHR0e144lUJOgS2Hp9KyBDuQiR5It6X7D2ylquhl1l1J5RLG63WO1IQpic3r17Y2dnh4WFRbIxjTUajTSiZ4Ok8dBtfWUoF2H6tJZayiwtw5m3zhC6LpSQdSG4vifDuoi8JdNfh44cOZJZs2bJZAIqqVgRzM0hLAzu3lU7jRBCCGNXoEABZs6cyb///ou/vz8lSpRg5syZascSqTj54CSh0aHkt8pPvSL11I4jhFGwMrdicdvEhvMl/y7RzxkghMi49u3bY2trS8+ePTly5AhPnjzRPx4/fqx2vFwpyi8KkPHQRe6Rr2o+vMd6A3Bj0A3iQuNUTiREzsp0T/QjR45w4MABduzYQbly5bCwsDBYv2HDhiwLJ5Kztk5sSD97NnFIFx8ftRMJIYQwRlWqVEk2FIiiKMTGxjJy5EiGDRumTjCRps3XNgPQsmRLLMws0iktRN5Rp0gdPq3+KfNOz2PAlgFc/OQiNhYyxrAQGbVx40aCgoL49ddfadu2Le7u7gwYMIAuXbrIxKLZRHqii9zI+ytvwjaFEXUpihuf3aDcGhnWReQdmW5Ed3R0pGPHjtmRRWRQ9eqJjeinTkFnmVtJCCFECjp06KB2BPEaXh4PXQhhaEqTKfx17S9uPbnFxEMTmdpkqtqRhDAp7u7ufPnll3zxxResWbOGTz75hIcPHzJ69Gi1o+VKSWOiS090kZtorbSUXlqas2+fJfSPUEK7hOLSyUXtWELkiEw3oi9dujQ7cohMqFEDFi6UyUWFEEKkbvz48WpHEJl0+8ltLodexkxjRssSLdWOI4TRcbByYF7rebRf054f/vmB98u9TxX3KmrHEsKkHD16lF9++YXt27fTqVMn+dI9m8Q/jScuMHGoC2lEF7mNQ3UHinxehIDvArj+yXUcGzhiUVDuoBS532tPER0aGsqRI0c4cuQIoaGhWZlJpCNpctHTp0GnUzeLEEII05KQkEDfvn3p27cvAwcOVDuOeMmWa4m90Ot518PJxknlNEIYp3al29GlXBcSlAT6belHbHwsB/0PsvHmRg76HyRBl/D/7N13fFRl2sbx30kvEEJIQkuAkEDovRiKoiAofWHtSBEBkQ6igK4sKCCIEFAEZQHlVWwIiqIg0kRFpCo1tEBooYdAKmTm/WNMFAmYwCRnJrm+n88sM88puWZcmMk9z7kfsyOKOKTo6GiqV6/OwIEDueuuuzh06BDz58+ncuXKZkcrkJJjbLPQPUp54O6v4qIUPBVeroBPNR+unrnKgcEHzI4jki9yPRM9KSmJQYMGsXDhQix/VHBdXV3p3r07b775Jj4+ufuW9cSJE7zwwgt8++23JCcnExERwYIFC2jQoAFg6986duxY5s6dS0JCAk2bNmX27NlUqlQp6xwXLlxg0KBBfPXVV7i4uNC1a1dmzJhBkSJFcvv0nEK1arbe6ImJcOAAREaanUhERBxNly5dsh23WCx89dVXLFmyBFdX13xOJbeS2cqlY+WOJicRcWwzH5jJqkOr2HZqGyWnluRS2qWsbSF+Icx4YAZdqmb/b6BIYTV8+HBCQkKoX78+33//Pd9///1127W2mX1ltXJRP3QpoFw8XajyXhW23bWNM4vOEPRQEEGd1dZFCrZcz0QfPnw469ev56uvviIhIYGEhAS+/PJL1q9fz4gRI3J1rosXL9K0aVPc3d359ttv2bNnD2+88QbFi/85+2rKlCnMnDmTOXPmsGnTJnx9fWnTpg2pqalZ+zzxxBPs3r2bVatW8fXXX/PDDz/Qt2/f3D41p+HuDnX/uHJVLV1ERCQ7xYoVy/bm5+cHQKdOnWjfvr3JKSXTpdRLrD+6HoAOkeqHLnIrJYuU5PEajwNcV0AHOJF4gn9/+m+W7FVBUOSvunfvTsuWLfH398/284HYlxYVlcLAr6Ef5Z4vB8D+Z/Zz9cJVkxOJ5K1cz0T//PPPWbx4MS1atMgaa9u2Ld7e3jz88MPMnj07x+eaPHkyoaGh1/VZDwsLy7pvtVqJjo7mpZdeolOnTgAsXLiQkiVL8sUXX/Doo4+yd+9eVqxYwebNm7Nmr7/55pu0bduWqVOnUqZMmdw+RafQsCFs3GhbXPSJJ8xOIyIijuZma5ikpqby4Ycf5nMa+ScrDq7gmuUaVQKrEBEQYXYcEYeWYcngy/1fZrvNihUDg6ErhtIpshOuLrriRgTgvffeMztCoZK0NwlQP3Qp+MqPLc+5L8+RvDeZg0MOUvX/qpodSSTP5HomenJyMiVLlrxhPDg4mOTk5Fyda9myZTRo0ICHHnqI4OBg6taty9y5c7O2x8bGEh8fT6tWrbLGihUrRuPGjdm4cSMAGzduxN/fP6uADtCqVStcXFzYtGlTbp+e08h8ups3m5tDRESci2EYZkeQbCzbvwxQKxeRnNgQt4Hjicdvut2KlWOJx9gQtyEfU4mI/Ekz0aWwcPVyJXJ+JLjA6Q9Oc27ZObMjieSZXM9Ej4qKYuzYsSxcuBAvLy8AUlJSGDduHFFRUbk61+HDh5k9ezbDhw9nzJgxbN68mcGDB+Ph4UGPHj2Ij48HuKFoX7Jkyaxt8fHxBAcHX/+k3NwICAjI2ufv0tLSSEtLy3qcmJgI2PrEWu5wpU6LxYLVar3j8/yT+vUBXNi+3Up6uhW3XP+XzF5+5c8rzpzfmbOD8ptN+c1lz/zO+hrI7buacZVvDnwDqJWLSE6cunzKrvuJFAYBAQG33H7hwoV8SlLwWdItpBxMATQTXQqHYncVI3REKMdeP8b+fvsp1qwY7gFaUFcKnlyXXmfMmEGbNm0ICQmhdu3aAPz22294eXmxcuXKXJ3LYrHQoEEDJk6cCEDdunXZtWsXc+bMoUePHrmNlmOTJk1i3LhxN4yfPXv2ul7rt8NisXDp0iWsVisuLrme6J9j/v5QpEgwV6648OOP56lW7Zpdzptf+fOKM+d35uyg/GZTfnPZM//ly5ftkmnmzJnZjl+7Zp/3C7Gfn479REJqAiW8SxAVkrsJCSKFUemipe26n0hhkJCQQHR0NMWKFcNqtdK/f3/Gjx9/w4Q0uXMph1IgA1yLuOJZ1tPsOCL5osK4Cpxbdo6UmBQODjtI1ffV1kUKnlwX0WvUqMGBAwf48MMP2bdvHwCPPfYYTzzxBN7e3rk6V+nSpalWrdp1Y1WrVuXzzz8HoFSpUgCcPn2a0qX//BB8+vRp6tSpk7XPmTNnrjvHtWvXuHDhQtbxfzd69GiGDx+e9TgxMZHQ0FCCgoKyFly7XRaLBcMwCAoKyvNCUIMGBuvWwaFDAfylRf0dyc/8ecGZ8ztzdlB+sym/ueyZP/Mqrzs1ffr0m24rV66cXX6G2MdXMV8B0K5yO/VvFsmB5uWaE+IXwonEE1ix3rDdwCDEL4Tm5ZqbkE7EcT366KNZRfNBgwbRtWtXKlasaHKqgid57x+tXKr4qI2eFBqu3q5UWVCF7U23c3rhaYIfDqZEuxJmxxKxq9tqAuLj40OfPn3u+Ic3bdqUmJiY68b2799P+fLlAdsio6VKlWL16tVZRfPExEQ2bdpE//79AVt7mYSEBLZu3Up9W48T1qxZg8VioXHjxtn+XE9PTzw9b/xG2MXFxS7FG8Mw7HauW2nYENatg23bXLDDf44s+ZU/rzhzfmfODspvNuU3l73y2+v5x8bG2uU8kresVqv6oYvkkquLKzMemMG/P/03BsYNhXQrVqIfiNaXUiJ/4efnx/nz5wkODiYlJYWUlBS6devGZ599RtmyZc2OV6CoH7oUVsWiihEyPITjbxwnpm8MDXc3xN1fbV2k4MhREX3ZsmU8+OCDuLu7s2zZslvu27Fjzn8BHDZsGE2aNGHixIk8/PDD/Prrr7z77ru8++67gK0gMXToUF599VUqVapEWFgY//nPfyhTpgydO3cGbDPXH3jgAfr06cOcOXO4evUqAwcO5NFHH6VMmTI5zuKMGja0/anFRUVERJxTzPkYDl44iIerB63DW5sdR8RpdKnahcUPL2bIiiE3LDJawrsELSq0MCeYiINq1KgRAwYMoG/fvixdupSIiAiaNWtGvXr1+Oijj7jvvvvMjlhg/HUmukhhE/ZKGOe/Ok/K/hQODT9ElflVzI4kYjc5KqJ37tw5awHPzOJ1dgzDICMjI8c/vGHDhixdupTRo0czfvx4wsLCiI6O5oknnsja5/nnnycpKYm+ffuSkJBAs2bNWLFixXWXu3/44YcMHDiQli1b4uLiQteuXW/aC7YgadDA9ufvv0NaGmQzuV5ERAqpv7Yty860adPyKYncSmYrlxYVWlDUs6jJaUScS5eqXegU2Yn1R9YTczKGcsHlGLZyGAcuHODpZU/z+cOfq5WCyB/efPNNevXqRe/evQkLC2PhwoU0atSIxo0b89BDD3H+/HmzIxYYmokuhZmrtytV5ldhe/PtxC+IJ+ihIEo8qLYuUjDkqIhusViyvW8P7du3p3379jfdbhgG48ePZ/z48TfdJyAggEWLFtk1lzOoUAFKlIDz522F9MyZ6SIiItHR0RQtWpT69etjtV7f6kBFJcehVi4id8bVxZUWFVpQzacawcHBlC5amrv+dxdL9y1l7ra59K3f1+yIIg4hMjKSn3/++Ybxrl27UqtWLRMSFUxWq/XPIrpmokshVaxpMUKGhHA8+jgxfWJotLsRbsVuq5u0iEPJdePVhQsXkpaWdsN4eno6CxcutEsoyRnDUEsXERHJ3ty5cylSpAhubm7MnDmTtWvXZt3WrFljdjwBziWf4+djtoJG+8o3n1AgIjlXr3Q9JrWcBMDQFUPZc3aPyYlEHF+lSpXMjlBgpJ1II+NKBoabgXeEt9lxREwTNiEMr3Av0k+kc3DEQbPjiNhFrovovXr14tKlSzeMX758mV69etkllORcZkuXLVvMzSEiIo6ld+/eHDhwgKioKJo2bUqfPn04ffq02bHkL7458A0Wq4XaJWtT3r+82XFECoxhUcNoHd6alGspPPb5Y6ReSzU7kohDWL16Ne3btyc8PJzw8HDat2/P999/b3asAiWzH7pXuBcu7vZZLF7EGbn6uFJlQRUwIH5ePBdWXjA7ksgdy/W/6larNdvLwI8fP06xYsXsEkpyTjPRRUTkZnx8fBg3bhwxMTFkZGRQuXJlxo8fT0pKitnRBPhqv60feofKHUxOIlKwuBguvN/5fYJ8gvj99O+8sOoFsyOJmO7tt9/mgQceoGjRogwZMoQhQ4bg5+dH27ZtmTVrVq7ONXv2bGrVqoWfnx9+fn5ERUXx7bff5lFy55LZysW3qq/JSUTM59/cn7KDygIQ83QM1y5dMzmRyJ3JcVOiunXrYhgGhmHQsmVL3Nz+PDQjI4PY2FgeeOCBPAkpN5c5E33PHkhKAl+9V4uICLBs2bLrHnfu3Jny5cvz+uuv8+6773L8+HGTkglA2rU0Vh5cCUDHSPVDF7G3UkVK8V7n92i3qB0zf51J6/DWtKvczuxYIqaZOHEi06dPZ+DAgVljgwcPpmnTpkycOJEBAwbk+FwhISG89tprVKpUCavVyvvvv0+nTp3Yvn071atXz4v4TiNzJrr6oYvYVJxYkfNfnyf1cCqHRh4i8t1IsyOJ3LYcF9E7d+4MwI4dO2jTpg1FihTJ2ubh4UGFChXo2rWr3QPKrZUpY7udPAnbt0OzZmYnEhERR5D5vp2dpKSk/Asi2Vp/dD2X0y9Tqkgp6pepb3YckQKpbaW2DGk8hBmbZtDry1789sxvlC5a2uxYIqZISEjIdtJb69ateeGF3F2t0aHD9VdQTZgwgdmzZ/PLL7+oiJ65qGhVFdFFAFx9Xakyvwo7Wuzg1NxTBD0cRECrALNjidyWHBfRx44dS0ZGBhUqVKB169aULq0PoI6iYUP48ktbSxcV0UVEBMBisZgdQW7hq5g/W7m4GOqZKpJXXmv1GuuOrOO307/R44serOi2Qn/npFDq2LEjS5cuZeTIkdeNf/nll7Rvf/uLW2dkZPDZZ5+RlJREVFTUTfdLS0sjLS0t63FiYiJg+7xyp59ZLBYLVqvVIT77ZPVEr+yV4zyOlP92OHN+Z84OzpPfr7kfZQaU4eSsk8T0jqH+7/VxK+rmNPlvRvnNZc/8OT1HjovoAK6urvTr14+9e/feVijJGw0a/FlEFxEREcdmtVpZtt/Wbkf90EXylpebFx91/Yj679Zn1eFVTN84nRFNRpgdSyTfVatWjQkTJrBu3bqsYvcvv/zCTz/9xIgRI5g5c2bWvoMHD/7H8+3cuZOoqChSU1MpUqQIS5cupVq1ajfdf9KkSYwbN+6G8bNnz5KaemeL/1osFi5duoTVasXFxbwvyTIuZZAenw5AUokkUs/k7Hk5Sv7b5cz5nTk7OFf+IsOK4P6VO2lxaewZvIdSk0s5Vf7sKL+57Jn/8uXLOdovV0V0gBo1anD48GHCwsJyHUryRubiolu2mJtDREQcy//+9z/mzp3LwYMHsVqthIeH8/TTT9O3b99sFwmX/LHzzE7iLsXh5eZFy4otzY4jUuBVDapK9APR9Pu6H6NXj6ZFhRZqoySFzrx58yhevDh79uxhz549WeP+/v7Mmzcv67FhGDkqokdGRrJjxw4uXbrE4sWL6dGjB+vXr79pIX306NEMHz4863FiYiKhoaEEBQXh5+d3B8/MVkgxDIOgoCBTC0GJh22z6z3KeFA6POdX7jtK/tvlzPmdOTs4X37PeZ7svH8nCQsTCHksBNzBJcYFj0gPit9dHMPVuX4/cbbX/++U/09eXl452i/XRfRXX32V5557jldeeYX69evj+7eVLO/0DVByL3Nx0QMHICEB/P3NTCMiIo5g8ODBLFq0iH79+mX9Mrx7925efPFFdu7cyVtvvWVywsJrWYxtFvr9Fe/Hx109U0XyQ596fVh5aCVL9i7hsc8fY1u/bRTxKPLPB4oUELGxsXY9n4eHBxEREQDUr1+fzZs3M2PGDN55551s9/f09MTT0/OGcRcXF7sUbwzDsNu5blfK/hTA1g89tzkcIf+dcOb8zpwdnCt/iVYlKNO/DCdnn2RX+12QYRs/xSk8QzyJmBFBUJcgc0PmkjO9/tlRfpucHp/rInrbtm0BW0+1v85is1qtGIZBRkZGbk8pd6hECQgLg9hY22z0Vq3MTiQiImabP38+S5YsoXXr1teN33333fz73/9WEd1EX+3/sx+6iOQPwzCY22Euv574lQMXDjD428HM7zTf7FgiBYbFYrmu53lhlNkP3aeKviAXuRm/pn6cnH0yq4CeKe1EGrv/vZvqi6s7XSFdCo9cF9HXrl2bFznkDjVsqCK6iIj8KTIykqJFi94wXrRoUSIjI01IJADxV+L59cSvALSvfPsLuYlI7gV4B/DBvz7g3vfvZcGOBbQJb8MjNR4xO5ZIvvhrK5XsTJs2LcfnGj16NA8++CDlypXj8uXLLFq0iHXr1rFy5co7jenUkvfZiui+VX3/YU+RwsmaYSV21E2uirECBhwcepDAToFO19pFCodcF9HvueeevMghd6hhQ/j0Uy0uKiJS2GUuDNaiRQseffRRhgwZgpub7e3+2rVrzJw5k4cffjjXC4iJfXy9/2sAGpZpSOmiOe+XKiL2cU+Fe3ix+Yu8uuFV+n3dj8YhjangX8HsWCJ5Ljo6mqioKDw8PG7Yltt1Us6cOUP37t05deoUxYoVo1atWqxcuZL777/fXnGdkmaii9xawoYE0o7f4ooVK6QdSyNhQwLFWxTPv2AiOZTrIjpAQkIC8+bNY+/evQBUr16dp556imLFitk1nORcZl90FdFFRAq36dOnZ90/efIk06dPv66Ifvr0aRYvXozVagVyvoAYwKxZs3j99deJj4+ndu3avPnmmzRq1Oim+yckJPDiiy+yZMkSLly4QPny5YmOjs5qDXc753R2ma1cOkZ2NDmJSOH18j0v833s9/xy/BeeWPIE63uux83ltn4tEnEqS5cuJTg4+I7P89eFSMXGkmYh5fCfPdFF5Ebpp9Ltup9Ifst15/UtW7YQHh7O9OnTuXDhAhcuXGDatGmEh4ezbdu2vMgoOVC/PhgGHDsGp0+bnUZERMwSGxtLbGwsTzzxBKNGjeLYsWNZY8eOHWPUqFF069Yta+zw4cM5Ou8nn3zC8OHDGTt2LNu2baN27dq0adOGM2fOZLt/eno6999/P0eOHGHx4sXExMQwd+5cypYte9vndHYpV1NYdWgVoH7oImZyd3VnUZdF+Hn68fOxn3n1h1fNjiQiTi7lYApkgKufKx6lb5ztLyLk+O+G/g6Jo8p1EX3YsGF07NiRI0eOsGTJEpYsWUJsbCzt27dn6NCheRBRcqJoUahSxXZ/yxZzs4iIiPlmzJhBt27dbhh//PHHr5utnlPTpk2jT58+9OrVi2rVqjFnzhx8fHyYPz/7hfnmz5/PhQsX+OKLL2jatCkVKlTgnnvuoXbt2rd9Tme3OnY1KddSCPULpVbJWmbHESnUwoqHMafdHABe+eEVNhzdYHIiEXFmSXuTAFsrl9y2xxEpLPyb++MZ4gk3+ytigGeoJ/7N/fMzlkiO5fq6xS1btjB37tysS8MB3NzceP7552mQ2VNETNGgAezda2vp0q6d2WlERMRMkZGRPP/880RHRxMWFgbA4cOHef7556lUqVKuzpWens7WrVsZPXp01piLiwutWrVi48aN2R6zbNkyoqKiGDBgAF9++SVBQUE8/vjjvPDCC7i6ut7WOdPS0khL+7OPYmJiIgAWiwWLxZKr5/R3FosFq9V6x+e5lS/3fQnYZqFbrdasljr2kB/585Lym6uw5n+k+iOsOLiChb8v5IklT7C973aKe+d/D1Znfv2dOTvYP7+jvw4rV668aQvWjh3VZuxOZC4qqlYuIjdnuBpEzIhg97932wrpf/8obIWI6AgtKioOK9dFdD8/P+Li4qiSOe35D8eOHaNo0aJ2Cya517Ah/N//aSa6iIjARx99RLdu3YiIiMDd3R2Aq1evUrduXT788MNcnevcuXNkZGRQsmTJ68ZLlizJvn37sj3m8OHDrFmzhieeeIJvvvmGgwcP8uyzz3L16lXGjh17W+ecNGkS48aNu2H87NmzpKam5uo5/Z3FYuHSpUtYrVZcXHJ9od4/n99q4asYWz/0ZsHN7N6yJq/z5zXlN1dhzv+f+v9hw5ENxCbG0nNJT95t9W6+zyJ15tffmbOD/fNfvnzZDqnyTo8ePbIdNwyDjIyMfE5TsGhRUZGcCeoSRPXF1Tk45GC2i4y6B7mbkEokZ3JdRH/kkUfo3bs3U6dOpUmTJgD89NNPjBw5kscee8zuASXnGja0/bl5M1itth7pIiJSOFWqVIlNmzaxc+dODh06BEDFihWpVSt/2ohYLBaCg4N59913cXV1pX79+pw4cYLXX3+dsWPH3tY5R48ezfDhw7MeJyYmEhoaSlBQEH5+fnec1zAMgoKC8qQQtOXkFk4nn6aIRxE61+6Mp5unXc+f1/nzmvKbqzDnDyaYjx76iGYLmvH14a/5+uTX9K7bO4+SZs+ZX39nzg72z+/l5WWHVHnD0WfJO7vMmei+VX1NTiLi+IK6BBHYKZCL6y9yLuYcgZGBnP6/05x+7zQxT8XQ4LcGuPq4mh1T5Aa5LqJPnToVwzDo3r07165dA8Dd3Z3+/fvz2muv2T2g5Fzt2uDmBmfOwPHjEBpqdiIRETFbzZo1qVChAlar9bYLzYGBgbi6unL6bytXnz59mlKlSmV7TOnSpXF3d8fV9c8PwFWrViU+Pp709PTbOqenpyeenjcWn11cXOxS/DAMw27n+ruvD3wNQJvwNnh7eNv9/JC3+fOD8purMOdvHNKYCfdN4IXvX2DoyqE0L9+cKoFV/vlAO3Lm19+Zs4N98zvrayB3xmqx/tnORTPRRXLEcDXwb+FPerV0/IP9KVqvKBdXXSTlYAqxL8USMS3C7IgiN8j1u7yHhwczZszg4sWL7Nixgx07dnDhwgWmT5+e7S+2kn+8vaFGDdv9zZvNzSIiIuZKS0vjpZdeomTJkvj7+1O8eHGCgoIYPXo0KSkpuTqXh4cH9evXZ/Xq1VljFouF1atXExUVle0xTZs25eDBg9fNfNu/fz+lS5fGw8Pjts7pzL7ab2vl0jFSPWdFHNFzTZ6jZVhLkq8m89jnj5F27cZLzEVEspN2PA1LsgXD3cCrouNejSDiyNz93Yl8NxKA49HHufTzJZMTidwo10X0p556isuXL+Pj40PNmjWpWbMmPj4+JCUl8dRTT+VFRsmFzLVdVUQXESncevTowaJFi3j11Vf54Ycf+OGHH5gwYQKffPIJPXv2zPX5hg8fzty5c3n//ffZu3cv/fv3JykpiV69egHQvXv36xYJ7d+/PxcuXGDIkCHs37+f5cuXM3HiRAYMGJDjcxYUcZfi2BG/AxfDhbaV2podR0Sy4WK4sPBfCynhXYId8TsYs3qM2ZFExElk9kP3jvDGxV1XI4jcrhJtS1CyR0mwwr5e+8hI0VoN4lhy3c7l/fff57XXXrthEdGUlBQWLlzI/Pnz7RZOcq9hQ/jf/7S4qIhIYbds2TLWrFnDXXfdlTXWtGlTatSoQatWrXJ9vkceeYSzZ8/y8ssvEx8fT506dVixYkXWwqBxcXHXXcYeGhrKypUrGTZsGLVq1aJs2bIMGTKEF154IcfnLCi+3m9r5dIktAmBPoEmpxGRmylTtAwLOi2g48cdmfbLNO4Pv58HIh4wO5aIOLisVi5V1cpF5E5FTI/g4ncXSdmfwpGXjxD+erjZkUSy5LiInpiYiNVqxWq1cvny5esWTcnIyOCbb74hODg4T0JKzmUuLrplixYXFREpzKKiorh48eIN4xcvXsxaGDy3Bg4cyMCBA7Pdtm7dumwz/PLLL7d9zoJiWcwyADpU7mByEhH5Jx0iOzCw4UDe2vwWPb7owe/P/E7JIgXriz0Rsa+kvUmA+qGL2IN7cXcqv1OZXR13cWzaMQK7BFIsqpjZsUSAXBTR/f39MQwDwzCoXLnyDdsNw2DcuHF2DSe5V6MGeHpCQgIcPAiVKpmdSERE8tPw4cMBKF++PE888QTdunXDzc32dn/t2jU+/PBD/vWvf2XtBzBt2jRTshYGl9Mus/bIWkBFdBFnMeX+Kaw7uo5dZ3bR88ueLH98OS6GWjSI88vIyOCLL75g7969AFSvXp2OHTtetwi45J5moovYV2CHQEo+WZLT/3eamKdiqL+9Pq5e+ndKzJfjIvratWuxWq3cd999fP755wQEBGRt8/DwoHz58pQpUyZPQkrOubtDnTqwaZNtNrqK6CIihcv27dsB2yKdV65cYfv27dcV0a9cucKhQ4ey9jd0yVKeWnV4FekZ6UQERFAlsIrZcUQkB7zdvfm468c0mNuAFQdXMHPTTIbeNdTsWCJ35ODBg7Rr147jx48TGWlbvG/SpEmEhoayfPlywsPVMuF2ZfZE10x0EfuJiI7g4qqLJO9L5sh/jxD+mv6NEvPluIh+zz33ABAbG0u5cuX0S7cDa9jQVkTfvBkee8zsNCIikp/WrrXNen7qqad47LHHeOaZZ67bPnv2bLZu3cr//vc/M+IVOn9t5aLPTiLOo3pwdaa1nsaz3zzLC9+/wD3l76Fu6bpmxxK5bYMHD6ZixYps3Lgxa0Lc+fPn6datG4MHD2b58uUmJ3ROVy9c5eqZq4CK6CL25B7wR1uXTrs49voxgroE4dfIz+xYUsjl+rrEvXv38tNPP2U9njVrFnXq1OHxxx/Ptveq5L8GDWx/bt5sbg4RETHPJ598QvPmzW8Yb9asGYsWLTIhUeGTYclg+QFbUaJjZEeT04hIbj3T4Bk6RXYiPSOdxz5/jKT0JLMjidy29evXM2XKlOuuKC9RogSvvfYa69evNzGZc8ts5eIZ4olbkRzPURSRHAjsGEjw48FggX299pGRmmF2JCnkcl1EHzlyJImJiQDs3LmT4cOH07ZtW2JjY6/rryrmyVxcdNs2yNC/MSIihVLjxo3p3bs3a9eu5dSpU5w6dYo1a9bQp08fGjdubHa8QuGX479wLvkc/l7+NA1tanYcEcklwzD4X8f/UaZoGWLOxzBs5TCzI4ncNk9PTy5fvnzD+JUrV/Dw8DAhUcGgfugieavSzEq4B7uTvCeZo+OPmh1HCrlcF9FjY2OpVq0aAJ9//jkdOnRg4sSJzJo1i2+//dbuASX3IiOhSBFIToY/1owREZFC5uOPP6Z8+fK0bt2akJAQQkJCsu5rJnr++Gr/VwC0rdQWd1d3k9OIyO0I9Ankg399gIHB3G1zWbxnsdmRRG5L+/bt6du3L5s2bcJqtWK1Wvnll1945pln6NhRV0vdLvVDF8lb7iXcqTynMgBxk+NI3JxociIpzHJdRPfw8CA52fZG8f3339O6dWsAAgICsmaoi7lcXaFePdt9tXQRESmcgoOD+eSTTzh37hxbt25l69atnDt3jsWLF1O6dGmz4xUKf+2HLiLO696wexnVbBQAfb7qQ9ylOJMTieTezJkzCQ8PJyoqCi8vL7y8vGjatCkRERHMmDHD7HhOSzPRRfJe0L+CCH70z7YuljSL2ZGkkMp1Eb1Zs2YMHz6cV155hV9//ZV27doBsH//fkJCQuweUG5PZkuXLVvMzSEiIuYqVqwYoaGhVKpUCX9/f7PjFBqHLhxi77m9uLm48UDEA2bHEZE7NK7FOBqVbURCagLdlnQjw6KeieJc/P39+fLLL9m/fz+LFy9m8eLFxMTEsHTpUooVK2Z2PKeVtNe2VoJmoovkrYg3I3APcid5dzJHX1VbFzFHrovob731Fm5ubixevJjZs2dTtmxZAL799lseeEC/JDqKzCK6ZqKLiBRe7777LuXKlSM4OBg/Pz/Cw8N5//33zY5VKGS2crm7/N34e/mbG0ZE7pi7qzuLuiyiqEdRNsRtYOKGiWZHErktERERdOjQgQ4dOhAREYHVaiUuLo64uDhOnDhhdjynkpGaQWpsKqCZ6CJ5zSPQg8qzbW1djk46yuVtN67xIJLXcr18dLly5fj6669vGJ8+fbpdAol9NGhg+/O33yA9HbRWjIhI4TJv3jxGjx7N+PHjef7555k1axZ79+7lmWeeITk5mf79+5sdsUBTKxeRgic8IJy3273Nk0ufZNz6cbSs2JImoU3MjiWSI7///nu24+fPn6dVq1bUrl2bwMBAvvvuu3xO5rxSDqSABVyLueJRUr9wi+S1oK5BBD0UxNnPzrKv5z7qb6mPi0eu5waL3LYcFdETExPx8/PLun8rmfuJuSpWhIAAuHABdu6E+vXNTiQiIvlp2rRpvPnmmzz++OOMGjWKu+++m549exISEkJ0dLSK6HnoYspFfjj6A6AiukhB061WN1YcXMGHOz/k8c8fZ8czO3S1iTiFOnXqYBgGVqv1hm2GYbBt2zYTUjm3zH7ovlV9MQzD5DQihUOltyqRsDaBpJ1JHJ1wlLBxYWZHkkIkR1/ZFC9enDNnzgC2XmrFixe/4ZY5Lo7BMP6cja6WLiIihc+hQ4do0sQ2Q/Kvv9i1bduWo0fVRzAvrTi4ggxrBtWCqhEeEG52HBGxs7fbvU3F4hU5eukoz3z9TLZFSRFHtGnTJmJjY6+7bdq0yexYTit5rxYVFclvHsEeVJpVCYC4iXFc3q62LpJ/cjQTfc2aNQQEBACwdu3aPA0k9tOgAXz3nRYXFREpjAIDA0lISAC4rsBz/vx5AgMDTUpVOGT2Q+9YuaPJSUQkL/h5+rGoyyKazm/KJ7s/4YGIB+hZp6fZsUT+UeY6KX/l5eVlUhrnlzkTXYuKiuSvoIeCCPw0kHOfn2Nfr33U/1VtXSR/5KiIfs8992R7XxybFhcVESm8unfvzu+//06dOnW4fPnPGRq//vorPXr0MDFZwXY14yrfHPgGgA6RauUiUlA1DmnM+HvH8+KaFxn4zUCahDahconKZscSuaWVK1cSGBiIn58fYWFhlClTxuxITk0z0UXMYRgGlWdVJmFdAkm/JRH3WhwVXq5gdiwpBHJURL/ZIiTZqVWr1m2HEfvKbOeyezckJ4OP3ttFRAqNiRMnZjs+cODAfE5SuPwY9yOX0i4R5BNE47KNzY4jInnohaYvsOrwKtYdWcfjnz/Oz71/xsNViwuK4/rrl+iGYVChQgUeeughExM5L6vFSnKMZqKLmMWjpAeV3qrE3sf2cvSVowR2CqRI7SJmx5ICLkdF9L8uQvJPC2ZkZGTYJZjcubJloVQpiI+HHTvgj9a4IiJSSGRkZPDFF1+wd+9eAKpXr07Hjh1xdXU1OVnBtSxmGQDtKrfD1UWvs0hB5uriygf/+oBac2qx9dRWXlrzElPun2J2LJFsWSwWANLT0zl//jyHDx9m3bp1vP322yYnc06pcalYUiwYHgZeYWqJI2KG4EeCOfvJWc59YWvrUm9TPVzc1dZF8k6O/t8VGxvL4cOHiY2N5fPPPycsLIy3336b7du3s337dt5++23Cw8P5/PPP8zqv5IJhqKWLiEhhdfDgQapWrUr37t1ZsmQJS5YsoVu3blSvXp1Dhw6ZHa9AslqtWf3QO1RWKxeRwqCsX1nmdZwHwOs/v86qQ6tMTiRyax4eHpQuXZqmTZvy4osvsnz5cqxWK66urmrvkguZrVy8K3nj4qainYgZDMOg0uxKuBV348r2K8RNjjM7khRwOfrXvnz58lm3iRMnMnPmTPr160etWrWoVasW/fr1Izo6mldeeSWv80ouZbZ0URFdRKRwGTx4MOHh4Rw7doxt27axbds24uLiCAsLY/DgwWbHK5D2ndvHoYuH8HD1oHV4a7PjiEg+6VylM8/UfwaA7l9052zSWZMTieRcnTp1sFgsZGRkcPLkSbPjOI3MRUV9q/qanESkcPMs5UmlNysBcHT8Ua7svGJyIinIcv2V6c6dOwkLC7thPCwsjD179tgllNhP5kz0LVvMzSEiIvlr/fr1TJkyhYCAgKyxEiVK8Nprr7F+/XoTkxVcma1c7gu7jyIe6skoUpi80eYNqgVVI/5KPL2+7IXVajU7kojkoaxFRdUPXcR0wY8HU6JjCaxXrezrtQ/LNYvZkaSAynURvWrVqkyaNIn09PSssfT0dCZNmkTVqlXtGk7uXOZM9JgYuHTJ3CwiIpJ/PD09uXz58g3jV65cwcNDC9/lhcxWLh0rdzQ5iYjkNx93Hz7q+hGerp4sP7Cct359y+xIIpKHMmei+1RVEV3EbIZhUHlOZdz83biy9QrHXj9mdiQpoHJdRJ8zZw4rV64kJCSEVq1a0apVK0JCQli5ciVz5szJi4xyB4KCoHx52/2tW83NIiIi+ad9+/b07duXTZs2YbVasVqt/PLLLzzzzDN07Kgir72dTTrLz8d+BqB95fYmpxERM9QqWYvX738dgJGrRvL76d9NTiQieUUz0UUci2dpTyJmRgBw5L9HSNqdZHIiKYhyXURv1KgRhw8f5tVXX83qiT5hwgQOHz5Mo0aN8iKj3CG1dBERKXxmzpxJeHg4UVFReHl54eXlRdOmTYmIiGDGjBlmxytwvjnwDVas1C1Vl9BioWbHERGTDGw0kPaV25OWkcZjnz9G8tVksyOJiJ2ln0vn6rmrAPhEqogu4ihKditJQLsArOlq6yJ5w+12DvL19aVv3772ziJ5pGFDWLxYi4uKiBQm/v7+fPnllxw8eJC9e/cCtpZsERERJicrmJbtt/VD71C5g8lJRMRMhmEwv+N8as+pzZ6zexixcgSz2882O5ZIlvT0dGJjYwkPD8fN7bbKAYVeZisXz3KeuPq6mpxGRDIZhkHkO5H8Wv1XLm++zPE3jlPuhXJmx5ICJEcz0X/55ZccnzA5OZndu3ffdiCxv8y+6JqJLiJS+ERERNChQwc6dOiQVUA/c+aMyakKlrRraXx36DsAOkSqiC5S2AX5BrHwXwsBmLN1Dkv3LjU5kYjt9/TevXvj4+ND9erViYuLA2DQoEG89tprJqdzLuqHLuK4PMt6EhFt+50n9uVYkvaorYvYT46K6E8++SRt2rThs88+Iykp+/8D7tmzhzFjxhAeHs5WNd92KPXr2/48cgTOnjU1ioiI5JOXX3452/EPP/yQ6tWr53Oagm3dkXVcSb9CmaJlqFe6ntlxRMQBtKrYipFNRgLw9FdPczzxuMmJpLAbPXo0v/32G+vWrcPLyytrvFWrVnzyyScmJnM+6ocu4thK9ShFwIN/tHV5ah/WDKvZkaSAyFERfc+ePbRr146XXnoJf39/qlevzv3330+HDh1o1qwZgYGB1KtXj9jYWL777ju6d++e17klF4oVg8hI233NRhcRKRzee+89hgwZkvX4zJkzdO7cmSFDhjB9+nQTkxU8y2JsrVzaV2qPi5Hr5WZEpIB69b5XaVCmARdSLvDk0ifJsGSYHUkKsS+++IK33nqLZs2aYRhG1nj16tU5dOiQicmcT+ZMdN+qviYnEZHsGIZB5Xcr4+rnyuVNlzk2/ZjZkaSAyNFveu7u7gwePJiYmBg2btxInz59qFGjBmXLlqVFixa88847nDx5ko8++oiaNWvmdWa5DWrpIiJSuGzYsIFvv/2WHj168MEHH1C1alWsViu7du2iW7duZscrMKxWK1/t/wqAjpEdTU4jIo7Ew9WDRV0W4evuy7oj65j802SzI0khdvbsWYKDg28YT0pKuq6oLv9MM9FFHJ9XiBcR0/9o6/JSLEn71NZF7lyuVxJp0KABDTIrsuI0GjaEDz/U4qIiIoVF+fLl+eGHH2jdujUffPAB77zzDk8//bTZsQqc307/xrHEY3i7eXNf2H1mxxERB1OpRCXeavsWvb7sxctrX+a+sPu4K+Qus2NJIdSgQQOWL1/OoEGDALIK5//73/+IiooyM5pTyUjJIPVIKqCe6CKOrlSvUpz59AwXV14k5qkY6m6oi+GqLw3l9uma40KiYUPbn5s3g1XtoERECoVSpUrxww8/0LhxYz755BNSUlLMjlTgfBVjm4XeOrw13u7eJqcREUfUo3YPHq3xKBnWDB7//HES0xLNjiSF0MSJExkzZgz9+/fn2rVrzJgxg9atW7NgwQImTJhgdjynkbI/BazgVtwN9yB3s+OIyC0YhkHku5G4FnUlcWMix2dofRK5MyqiFxJ16oCrK8THw8mTZqcREZG8Vrx4cQICAqhYsSI7d+5k9erVBAcHExAQQEBAgNnxCoxl+2390DtU7mByEhFxVIZhMKfdHCr4VyA2IZZnlz9rdiQphJo1a8aOHTu4du0aNWvW5LvvviM4OJiNGzdSv359s+M5jcx+6D5VfdQGR8QJeJXzIvyNcABiX4wleX+yyYnEmeW6nYs4Jx8fqF4dfv/dNhu9bFmzE4mISF6Kjo42O0KBd/LySbac3IKBQfvK7c2OIyIOrJhXMRZ1WUTzBc35cOeHtAlvw5O1nzQ7lhQy4eHhzJ071+wYTi1pr62vsvqhiziP0k+X5uynZ7n4/UX2PbWPuuvV1kVuj4rohUiDBn8W0Tt3NjuNiIjkpR49epgdocBbvn85AI3KNqJkkZImpxERRxcVGsXYe8by8rqXefabZ4kKjSIiIMLsWFJIJCbeuo2Qn59fPiVxbn+diS4izsEwDCL/F8nmGptJ/CmRE2+dIGRIiNmxxAmpnUshktkXfcsWc3OIiIgUBGrlIiK5Nab5GO4ufzdX0q/w+OePk3o1lXVH1rH04FLWHVlHhiXD7IhSQBUvXjzbm7+/P8WLFzc7ntNI3vtHEV0z0UWcild5L8Kn2tq6HB59mOSDausiuZfrmejDhw+/5fZp06bddhjJW38tolutoBZuIiIityf5ajLfH/4egI6RHU1OIyLOwtXFlQ/+9QG15tRi88nNBE8N5nL65aztIX4hzHhgBl2qdjExpRREYWFhnDlzhlGjRtG0aVOz4zgla4bVtrAo4FvV1+Q0IpJbpfuW5synZ0hYk0DMUzHUWVcHw0WFMcm5XBfRo6OjiYqKwsPDA4Aff/yR+vXr4+3trYU1HFzNmuDhARcuwOHDEB5udiIRERHn9P3h70m9lkr5YuWpEVzD7Dgi4kRCi4XydN2nmbpx6nUFdIATiSf496f/ZvHDi1VIF7vau3cvb775JhMmTGD79u1MmTKFsLAws2M5ldSjqVhSLRieBl4VvMyOIyK5lNXWpeZmLm24xIlZJwgZpLYuknO31c5l6dKlrF27lrVr1+Ll5cWiRYtYu3Yta9assXc+sSMPD6hd23ZfLV1ERERu31cxXwG2WeiaRCAiuZFhyeDj3R9nu82KFYChK4aqtYvYlbu7O8OHD+fAgQOULVuWWrVqMWLECBISEsyO5jSy+qFX9tGihCJOyjvMm/Apf7R1GXWYlEMpJicSZ5LrIrq7uzvp6elZj69evcrnn39u11CSdzJbumzebG4OERERZ2WxWvhqv62Irn7oIpJbG+I2cDzx+E23W7FyLPEYG+I25GMqKSwCAgKIjo5m+/btHDlyhIiICKKjo82O5RSy+qFrUVERp1bmmTL4t/DHkmwh5ukYrBar2ZHESeS6nUtYWBgff/wxzz33HJ9//jnu7u7MnTuXbdu2MW/ePHx89IbiyBo0sP2pIrqISMHWpcut2wAsWbIkn5IUPFtObuF00mmKehTlngr3mB1HRJzMqcun7LqfSE7UrVv3hiunrFYraWlpjBgxgqFDh5oTzIlkzUTXoqIiTs1wMYicZ2vrkrAugZNzTlL22bJmxxInkOsi+gsvvECfPn146aWXuHr1KuPHj2fQoEE8+eSTNGrUiF27duVFTrGTzJno27ZBRga4upqbR0RE7Oftt9/mkUceoUSJEnzxxRcULVqUTp064ap/7O0qs5XLAxEP4OHqYXIaEXE2pYuWtut+IjnRuXNnsyM4vaS9SYBmoosUBN4Vvak4uSIHBx3k0POHCHgwAO8wb7NjiYPLdRG9V69eNGnShN9//52wsDAa/DG1+csvv+S1116ze0Cxr6pVwccHrlyBmBioVs3sRCIiYi9HjhyhadOm7Nu3j1WrVjFixAi2bt3KlClTaNeundnxCoxl+5cBauUiIrenebnmhPiFcCLxRFYP9L8yMAjxC6F5ueYmpJOCauzYsWZHcHqaiS5SsJR9tixnPzvLpR8uEdM7htrf18Zw0XoHcnO3tbBoZGQkDz30UFYBPdOoUaPsEkryjqsr1Ktnu6/FRUVECpYpU6Zw+PBh4uPjadmyJdu3b+e5556jX79+tGrVit9//93siE7vaMJRfj/9Oy6GC20rtTU7jog4IVcXV2Y8MAOwFcz/zoqV6AeicXXRVUQijiL9bDrXzl8Dw7awqIg4v8y2Li7eLiSsTeDkuyfNjiQOLtdF9MTExFvexPFpcVERkYLpgw8+oESJEgQHBwNgGAa9evXiwIED3H333dx999089dRTnDypD4i3K3NB0aahTSnhU8LkNCLirLpU7cLihxdT1u/GHqwGBiV9S5qQSgqy4sWLExAQcNOb3FrmLHSv8l64+ugLLpGCwifCh4qTKgJweORhUo+mmpxIHFmu27kUL14823Gr1YphGGRkZNxxKMlbKqKLiBRMO3bsYPXq1bi4uDBz5szrtvn7+/PMM88wa9YsPvvsMy5fvmxSSueWWUTvGNnR5CQi4uy6VO1Cp8hOrD+ynpiTMUSWiWTBbwv44PcP6La0G7898xt+nn5mx5QCIjo6GrD93t6/f3/Gjx+f9aW7/LPkvX+0clE/dJECp+ygspxdfJZLP14i5ukYan1X64aFmEXgNoroYWFhnDlzhlGjRtG0adO8yCR5LLMLz44dcPUquLubGkdEROxk6tSpWfenT5+e7T6BgYH5FafASUxLZG3sWkD90EXEPlxdXGlRoQXVfKoRHBxMg7IN+DHuR44kHGHQt4N4v/P7ZkeUAqJHjx5Z9wcNGkTXrl2pWLGiiYmcS1YRXf3QRQocw8Ugcn4kW2pt4eL3Fzn1v1OU6VPG7FjigHJdRN+7dy9vvvkmEyZMYPv27UyZMoWwsLC8yCZ5JCIC/P0hIQF27YK6dc1OJCIi9hYbG2t2hALnu0PfcdVylcolKhMZGGl2HBEpgPw8/fjgXx9w93t3s/C3hbSr1I6Hqz9sdiyRQi9rUVHNRBcpkHwq+RA2MYxDww9xaMQhAtoE4FXOy+xY4mBy3RPd3d2d4cOHc+DAAcqWLUutWrUYMWIECQkJeRBP8oJh/DkbXS1dREREciazlYtmoYtIXmpariljmo0B4Jmvn+F44nGTE0lBpFYFuZO0NwnQTHSRgixkcAh+UX5kXM4gpk8MVqvV7EjiYHI9Ez1TQEAA0dHRDBw4kBdeeIGIiAheeuklhg4dasd4klcaNIDvv4ctW6BvX7PTiIiIvT311FO33D5//vx8SlIwZFgyWL5/OaB+6CKS916+52VWHlrJ5pOb6fFFD1Y9uQoXI9fzn0SydOnSJet+amoqzzzzDL6+vlljS5YsMSOWU8hIziDtaBqgmegiBZnhalBlQRU2197Mxe8uEj8/ntK9S5sdSxxIrj+J1a1bl3r16mXdHn74YQ4fPkxaWhojRozIi4ySB7S4qIhIwXbx4sVb3m7HrFmzqFChAl5eXjRu3Jhff/31pvu+9957GIZx3c3L6/pLInv27HnDPg888MBtZctrG49v5HzKeYp7FadJaBOz44hIAefu6s4HXT7Ax92HNbFrmL4x+3UuRHKqWLFiWbdu3bpRpkyZ68bk5pJjbK1c3Eq44RHoYXIaEclLPpE+hL1qa1l9cPhBUo+nmpxIHEmuZ6J37tw5D2JIfsts57JzJ6SkgLe3uXlERMS+li5det3ja9euERcXR2hoKO63saL0J598wvDhw5kzZw6NGzcmOjqaNm3aEBMTQ3BwcLbH+Pn5ERMTk/U4u0vHH3jgARYsWJD12NPTM9fZ8sOymGUAtK3UFjeX276QT0QkxyqXqEx0m2j6ft2XMWvG0KpiK2qXqm12LHFSf32vldzJ7IfuW9X3H/YUkYIgdFgo5z4/R+Iviezvu5+ay2uqBZYAt1FEHzt2bF7kkHwWGgrBwXDmDPz2G9x1l9mJREQkr/z888907NiRixcvUqxYMb744gvuvvvuXJ1j2rRp9OnTh169egEwZ84cli9fzvz58xk1alS2xxiGQalSpW55Xk9Pz3/cxxFk9kNXKxcRyU9P13ua5QeW82XMlzy+5HG29NmCt7tmv4jkp+S9fywqqn7oIoWC4WoQOT+SLXW3cOHbC8S/H0/pnmrrIrfRzuVmMjIyeOqpp3jqqafo169fro9/7bXXMAzjup7qqampDBgwgBIlSlCkSBG6du3K6dOnrzsuLi6Odu3a4ePjQ3BwMCNHjuTatWt3+nQKPMNQSxcRkcLixRdf5MEHH2Tnzp306tWL559/PlfHp6ens3XrVlq1apU15uLiQqtWrdi4ceNNj7ty5Qrly5cnNDSUTp06sXv37hv2WbduHcHBwURGRtK/f3/Onz9/0/OlpaWRmJh43Q3AYrHY5Wa1WrMdjzkbw75z+3BzceP+sPvt9vPsfbtZfme5Kb/yK3/24++0e4dSRUqx5+wenl/1vOlZC8trf7s3RxUQEHDLm9xc5kx09UMXKTx8q/oSNv6Pti5DD5J2Is3kROIIcj0T/a8LkvyVxWLhq6++YsmSJbi6uubqnJs3b+add96hVq1a140PGzaM5cuX89lnn1GsWDEGDhxIly5d+OmnnwBb4b5du3aUKlWKn3/+mVOnTtG9e3fc3d2ZOHFibp9aodOgASxfriK6iEhBt2fPHmbOnEm1atUYM2YM5cuXz9Xx586dIyMjg5IlS143XrJkSfbt25ftMZGRkcyfP59atWpx6dIlpk6dSpMmTdi9ezchISGArZVLly5dCAsL49ChQ4wZM4YHH3yQjRs3ZvtZYtKkSYwbN+6G8bNnz5Kaemf9Ci0WC5cuXcJqteLicv0cg49+/wiAJqWbkJaYxpnEM3f0s/LCrfI7A+U3l/KbKyf532j+Bk98+wRvbX6LqMAo7it3Xz6nzF5heO1z4/Lly3ZIlTcSEhKIjo6mWLFiWK1W+vfvz/jx42/akk3+pJnoIoVTyPAQzn5+lsu/XiamXww1v1Jbl8Iu10X0my06kpGRAUCnTp1ydb4rV67wxBNPMHfuXF599dWs8UuXLjFv3jwWLVrEfffZPiQuWLCAqlWr8ssvv3DXXXfx3XffsWfPHr7//ntKlixJnTp1eOWVV3jhhRf473//i4eHFv24lcyZ6Fu2mJtDRETyVnJyMr6+tj6eRYoUISUlJc9/ZlRUFFFRUVmPmzRpQtWqVXnnnXd45ZVXAHj00UezttesWZNatWoRHh7OunXraNmy5Q3nHD16NMOHD896nJiYSGhoKEFBQfj5+d1RXovFgmEYBAUF3VBIWX9yPQBdanRx2GLDrfI7A+U3l/KbKyf5Hw1+lI3nNvLW5rcYsWEEO/ruIMg3KJ+T3qgwvPa58fcFtB3No48+mvU+NmjQILp27UrFihVNTuXYrBlWkvdrJrpIYeTi5kKVBVVsbV2WX+D0/52mVHfHb0MpeSfXRfSbLUiSmprKhx9+mOsAAwYMoF27drRq1eq6IvrWrVu5evXqdZeOV6lShXLlyrFx40buuusuNm7cSM2aNa+bGdemTRv69+/P7t27qVu3brY/My0tjbS0Py/F+Pvl4Hfir5cEOrp69QBc2LfPyqVLVooWda782XHm/M6cHZTfbMpvLnvmt9drMHPmzKz7165d47333iMwMPC2Wp4FBgbi6up6Q0u106dP57ifubu7O3Xr1uXgwYM33adixYoEBgZy8ODBbIvonp6e2S486uLiYpfih2EYN5zrYspFNsRtAGz90B25SJRdfmei/OZSfnPlJP+U+6ew5sga9pzdQ7/l/Vj6yFKHmBFXGF77nHLk18DPz4/z588THBxMSkoKKSkpdOvWjc8++4yyZcvm6lyTJk1iyZIl7Nu3D29vb5o0acLkyZOJjIzMo/TmSYlNwZpuxcXLBa9yjv0liYjYn281Xyr8twKxY2I5OOQgxe8vjmfpG38fkcIh10X0m7mdD3Aff/wx27ZtY3M2/UTi4+Px8PDA39//uvGSJUsSHx+ftU92l5ZnbrsZsy4HdzSGAWXKBHHypCurV1+gSZOrTpU/O86c35mzg/KbTfnNZc/89roUfPr06Vn3S5Uqxf/93/9lPS5XrlyuzuXh4UH9+vVZvXo1nTt3BmzPefXq1QwcODBH58jIyGDnzp20bdv2pvscP36c8+fPU7q04yzc8+3Bb8mwZlAjuAZhxcPMjiMihZi3uzcfdvmQRnMb8WXMl8zbPo+n6z1tdixxEo0aNWLAgAH07duXpUuXEhERQbNmzahXrx4fffRR1tXfObF+/XoGDBhAw4YNuXbtGmPGjKF169bs2bMn68q3giKzH7p3pDeGq/lfWolI/gsdGcrZz89yZesV9vfbT40vazjEl9iS/+xWRM+tY8eOMWTIEFatWpXvl72ZdTm4I2rc2GDpUjh0qDidOztf/r9z5vzOnB2U32zKby575rfXe2JsbKxdzpNp+PDh9OjRgwYNGtCoUSOio6NJSkqiV69eAHTv3p2yZcsyadIkAMaPH89dd91FREQECQkJvP766xw9epSnn7YVfK5cucK4cePo2rUrpUqV4tChQzz//PNERETQpk0bu2a/E8tilgHQoXIHk5OIiECdUnWY2HIiI1eNZMiKIdxT/h4qlahkdixxAm+++Sa9evWid+/ehIWFsXDhQho1akTjxo156KGHbrmw99+tWLHiusfvvfcewcHBbN26lbvvvtve0U2V2Q/dt2rB+nJARHLOxc2FKu9VYWu9rZz/6jxnFp2h5BMl//lAKXByXUT/6+Xhf5Xby8O3bt3KmTNnqGfrKQLYZqn98MMPvPXWW6xcuZL09HQSEhKum43+10vHS5Uqxa+//nrdeTMvNb/V5eVmXA7uqBo1gqVLYcsWFzLjOlP+7DhzfmfODspvNuU3l73yO+rzf+SRRzh79iwvv/wy8fHx1KlThxUrVmRdARYXF3d9G5SLF+nTpw/x8fEUL16c+vXr8/PPP1OtWjUAXF1d+f3333n//fdJSEigTJkytG7dmldeeSXb92gzpGeks+KgrVDQMbKjyWlERGyGRw3nmwPfsPbIWp5Y8gQ/PfUT7q7uZscSBxcZGcnPP/98w3jXrl2pVavWHZ370qVLAAQEBNzReRxR5kx0LSoqUrgVqVGECmMrEPtSLAcGHaBYi2IkxySTGJOIR6QHxe8prqtVCoFcF9H/enn43+Xm8vCWLVuyc+fO68Z69epFlSpVeOGFFwgNDcXd3Z3Vq1fTtWtXAGJiYoiLi8taqCwqKooJEyZw5syZrAVSVq1ahZ+fX9Yv6XJrDRrY/tTioiIiBctfr7jKzrRp03J9zoEDB960fcu6deuuezx9+vRbfmbw9vZm5cqVuc6QnzYc3cCltEsE+wbTqGwjs+OIiADgYrjwfuf3qTWnFptPbuaVH15h/L3jzY4lTqxSpdu/msFisTB06FCaNm1KjRo1brqfs65LljkT3TvSO8/W7tHaQOZx5uyg/Pmt7HNlObvkLFe2XeHXiF+xpNpyn+QkHiEeREyPILBLoMkpc87ZXv+/M2NdslwX0e11eXjRokVveJP19fWlRIkSWeO9e/dm+PDhBAQE4Ofnx6BBg4iKiuKuu+4CoHXr1lSrVo0nn3ySKVOmEB8fz0svvcSAAQMcZhabo8ssoh8+DOfPQ/Hi5uYRERH72L59e9b9H3/8kfr16+Pt7Q3c3jomhdFX+78CoH2l9rgYjnmFgIgUTqHFQnmn/Ts8svgRJmyYQJvwNjQt19TsWOLg1q9fz9SpU9m7dy8A1apVY+TIkTRv3vy2zzlgwAB27drFjz/+eMv9nHFdMqvVypW9VwBICU7hzJkzdjv3X2ltIPM4c3ZQfjN4d/TmyrYrWQX0TOkn0tnz8B7Kzi1L0XZFTUqXO874+v+VGeuS3VFPdKvVCuTdL+PTp0/HxcWFrl27kpaWRps2bXj77beztru6uvL111/Tv39/oqKi8PX1pUePHowfr5kYOeXvD5UqwYEDttno999vdiIREbGHtWvXZt0vWrQoixYtomLFiiYmci5Wq/XPfuiR6ocuIo7n4eoP8/X+r/m/3/+Pbku78dszv+HneWfrO0nB9cEHH9CrVy+6dOnC4MGDAfjpp59o2bIl7733Ho8//niuzzlw4EC+/vprfvjhB0JCQm65rzOuS5Z+Oh1LggUMCLkrBBevvCkyaW0g8zhzdlD+/GbNsHL4f4dvshEw4Ny4c1TsXtEpWrs42+v/d2asS3ZbRfR58+Yxffp0Dhw4ANgu/xo6dGjWYmG36++Xgnt5eTFr1ixmzZp102PKly/PN998c0c/t7Br0EBFdBERkb/ac3YPsQmxeLp6cn9FvTmKiGN6q+1bbIjbwJGEIwz+djDvdX7P7EjioCZMmMCUKVMYNmxY1tjgwYOZNm0ar7zySq6K6FarlUGDBrF06VLWrVtHWFjYPx7jjOuSpe63zZD3CvPCzeeO5h/+I60NZB5nzg7Kn58u/nCR9OPpN9/BCmnH0kj8KZHiLZyjzYMzvf7Zye91yXL9U15++WWGDBlChw4d+Oyzz/jss8/o0KEDw4YN4+WXX851UDFfw4a2PzdvNjeHiIiIo8hs5dKyYkt8PXxNTiMikj0/Tz8++NcHtj7pv73PZ7s/MzuSOKjDhw/TocONV1Z17Ngx1y1bBwwYwAcffMCiRYsoWrQo8fHxxMfHk5KSYq+4DiFpbxIAPlW1qKiIQPqpWxTQb2M/cT65/jp19uzZzJ07l8ceeyxrrGPHjtSqVYtBgwaplYoTUhFdRKTgWbZsWdZ9i8XC6tWr2bVrV9ZYx44dzYjlNDJbuXSsrNdJRBxb03JNGdNsDK9ueJV+X/cjKjSKEL9bt9aQwic0NJTVq1cTERFx3fj3339PaGhors41e/ZsAFq0aHHd+IIFC+jZs+edxHQoyftsi4r6VFERXUTAo7SHXfcT55PrIvrVq1dpkLka5V/Ur1+fa9eu2SWU5K+6dcHFBU6etN3c8vZKNRERyQedO3e+7nG/fv2y7huGQUZGRj4nch5nks7wy/FfAGhfub3JaURE/tnL97zMykMr2XxyMz2+6MGqJ1dpQWS5zogRIxg8eDA7duygSZMmgK0n+nvvvceMGTNyda7MtdEKuuS9tiK6b1VdkSYi4N/cH88QT9JOpNl6oP+dAZ4hnvg398/vaJJPcv3J6sknn8z65vmv3n33XZ544gm7hJL85esL1arZ7m/ZYm4WERGxD4vFctObCui3tnz/cqxYqVe6HmX9ypodR0TkH7m7uvNBlw/wcfdhTewapm+cbnYkcTD9+/fn448/ZufOnQwdOpShQ4eya9cuPvnkk+u+aJc/aSa6iPyV4WoQMeOPq3myWzfUChHREU6xqKjcntuanjBv3jxq1KjB008/zdNPP03NmjWZO3cuLi4uDB8+POsmziPz4oItW/SXXUSkIFi4cCFpaWlmx3BKmf3Q1cpFRJxJ5RKViW4TDcCYNWP4Lf43cwOJw/nXv/7Fjz/+yPnz5zl//jw//vgjnTp1MjuWQ7p25RppcbbPUSqii0imoC5BVF9cHc+yNy6U7Orniv89/vkfSvJNrovou3btol69egQFBXHo0CEOHTpEYGAg9erVY9euXWzfvp3t27ezY8eOPIgreSWzL7pmoouIFAy9evXi0qVLZsdwOqnXUll5aCUAHSJvXIBNRMSRPV3vaTpFdiI9I53HlzxOytWCtdCj3L6KFSty/vx5s2M4jZT9tr877kHuuJdwNzmNiDiSoC5B3HXkLmqtrkWZt8tQY0UNvKt6k5GYwYHBB8yOJ3ko192v165dmxc5xGSZRfSNG2HJEi+qVIF77gFXV3NziYjI7Sks/Urtbe2RtSRfTaZs0bLULVXX7DgiIrliGAZzO8xl04lN7Dm7h1Hfj2LGg7nrdy0F05EjR9TOLRcy+6H7VNUsdBG5keFq4N/Cn/Rq6QQEB+DxngfborZxZtEZgh8JJrBjoNkRJQ/c9hKSBw8e5NChQ9x99914e3tjtVoxDLUCcVaHD9v+TEw0GDDAH4CQEJgxA7p0MS+XiIjcvk8//RQ/P79st3Xv3j2f0ziHr/d/DUCHyh30uUZEnFKQbxALOi3gwQ8fZOavM2lbqS1tItqYHUscgN7Xck790EUkN/wa+RH6XCjHphxjf7/9FGtWDPcAXcVS0OS6iH7+/Hkefvhh1q5di2EYHDhwgIoVK9K7d2+KFy/OG2+8kRc5JQ8tWQKPPXbj+IkT8O9/w+LFKqSLiDijKVOm4JrNJUWGYaiIng2r1crXB2xF9I6R6ocuIs7rgYgHGNhwIG9tfoueX/bk92d+J8g3yOxYYrIGDRpk+7kA4HDmrCoBIGlvEqCZ6CKScxXGVeDcl+dIiUnh4LCDVH2/qtmRxM5yXUQfNmwY7u7uxMXFUbXqn/+HeOSRRxg+fLiK6E4mIwOGDIHsrvq3WsEwYOhQ6NRJrV1ERJzNli1bCA4ONjuG09h1fhfHE4/j6+7LvWH3mh1HROSOTLl/CmuOrGHP2T30/bovSx5eopnIhdyIESMoVqyY2TGcQlY7F81EF5EccvVypcqCKmxvup3TC08T/HAwJdqVMDuW2FGui+jfffcdK1euJCQk5LrxSpUqcfToUbsFk/yxYQMcP37z7VYrHDtm269Fi3yLJSIikm8yLBmsP7KeGdtsfYNbVWyFl5uXyalERO6Mt7s3H3b5kEZzG/HFvi+Yt30eT9d72uxYYhLDMHj00Uf15XoOWK5ZSDlgW1jUt6qvyWlExJkUiypGyLAQjk87Tky/GBrtboRbsdvupC0OxiW3ByQlJeHjc+O3sRcuXMDT09MuoST/nDpl3/1ERMQxlC9f/qaXbMufluxdQoUZFWj5fy1ZHrscgB+O/sCSvUtMTiYicufqlKrDxJYTARiyYggHzh8wOZGYRQuO51zq4VSsV624+LjgGaoah4jkTtgrYXhHeJN+Ip2DIw6aHUfsKNdF9ObNm7Nw4cKsx4ZhYLFYmDJlCvfeq0ufnU3p0vbdT0REHENsbCwlSujywVtZsncJ//703xxPvP6SrITUBP796b9VSBeRAmF41HDurXAvyVeT6ba0G1czrpodSUywYMECtXLJoaxFRSN9MFzUAklEcsfVx5XI+ZFgQPy8eC6svGB2JLGTXBfRp0yZwrvvvsuDDz5Ieno6zz//PDVq1OCHH35g8uTJeZFR8lDz5hASYut9nh3DgNBQ234iIuJcdu7cSffu3alZsyaNGjWid+/eHDigWYhga+EyZMUQrNw4My9zbOiKoWRYMvI7moiIXbkYLrzf+X38vfz59cSvvPLDK2ZHEhNUq1aNHTt23DC+adMmtmzZkv+BHJj6oYvInfJv7k/ZQWUBiOkTw7XEayYnEnvIdRG9Ro0a7N+/n2bNmtGpUyeSkpLo0qUL27dvJzw8PC8ySh5ydYUZthawNy2kR0drUVEREWfz008/0bhxY1JSUjhw4AD169dnz5491KxZk/Xr15sdz3Qb4jbcMAP9r6xYOZZ4jA1xG/IxlYhI3ggtFso77d8BYMKGCfwU95PJiSS/DRgwgGPHjt0wfuLECQYMGGBCIseVNRO9qoroInL7Kk6siFdFL9KOpXHo+UNmxxE7yHURHaBYsWK8+OKLfPrpp3zzzTe8+uqrlFa/D6fVpQssXgxly964rUUL23YREXEuY8aMYfTo0Xz22We4u7szcuRINm7cSK9evRg9erTZ8Ux36nLOFvvI6X4iIo7u4eoP82StJ7FYLXRb2o3EtESzI0k+2rNnD/Xq1bthvG7duuzZs8eERI4raW8SoJnoInJnXH1diZwXCcCpd05xcfVFkxPJncp1Ef3333+/5U2cU5cucOQIrF5t4e23E3jrLQsA69ZBNlf9iYiIg9u8eTMPP/zwDeMDBw7M9nLuwqZ00Zx9+Z/T/UREnMFbbd+ign8FjiQcYfC3g82OI/nI09OT06dP3zB+6tQp3NzcTEjkmKxWq2aii4jdFG9RnDLPlgEg5ukYrl1RWxdnlut3yzp16mAYBlarFeOP/h+ZK30bhkFGhnqHOitXV9vM82rVUgkO9mPDBvjkE3juOVi16ubtXkRExPF4e3tnvU//lWEY+Pjol8Lm5ZoT4hfCicQT2fZFNzAI8QuheTktCiIiBYefpx//96//45737uH9396nXaV2PFT9IbNjST5o3bo1o0eP5ssvv8xaYDQhIYExY8Zw//33m5zOcaTHp5NxKQNcwKeSPi+JyJ2rOLki55efJ/VIKodHHabyW5XNjiS3Kdcz0WNjYzl8+DCHDx/G29ubtWvXEhsbmzUuBcekSeDhAatXw7ffmp1GRERyo0mTJqxbtw6Ab7/9lrJ/9Oz65ptvaNKkiYnJHIOriyszHrAtCmJw/ZcNmY+jH4jG1UWLgohIwdKsXDNGN7O19er3db9brg8hBcfUqVM5duwY5cuX59577+Xee+8lLCyM+Ph43njjDbPjOYzMWejeFb1x8byt7rciItdxK+JG5P9sbV1OzjrJxXVq6+Kscv2uUL58ecqXL0+FChUwDIOQkJCssfLly+dFRjFJWBgM/uMqz5Ej4ZquOhERcRqLFy+me/fuADRr1gxPT08Ann32WT777DMzozmMLlW7sPjhxZT1u35RkBC/EBY/vJguVbUoiIgUTGPvGUvDMg25mHqRHl/0wGK1mB1J8ljZsmX5/fffmTJlCtWqVaN+/frMmDGDnTt3EhoaanY8h5G8V61cRMT+AloFULqvrU1kTO8YMpLUxcMZqfmZ3NKYMTB/PuzZY/uzb1+zE4mISE5MnDiRp5566oYvuNXK5XpdqnahU2Qn1h9ZT8zJGCLLRHJPhXs0A11ECjR3V3c+6PIBdd+py5rYNUzfOJ0RTUaYHUvymK+vL331C90tZfVD16KiImJn4a+Hc+HbC6QeTuXwi4epFF3J7EiSS3d0fZJhGNn2W5WCo3hxGDvWdv8//4HLl83NIyIiOfPll18SHh5Oy5YtWbRoEWlpaWZHcliuLq60qNCCf0X8ixYVWqiALiKFQuUSlYluEw3AmDVj+C3+N3MDSZ6aNGkS8+fPv2F8/vz5TJ482YREjkkz0UUkr7j5uRE519bW5cTMEyT8mGBuIMm1XBfRixcvTkBAAAEBAVy5coW6detmPQ4ICMiLjGKyZ56BiAg4cwamTDE7jYiI5MSOHTvYvHkz1atXZ8iQIZQqVYr+/fuzefNms6OJiIiDeLre03SK7ER6RjpPLHmClKspZkeSPPLOO+9QpUqVG8arV6/OnDlzTEjkmDQTXUTyUkCbAEo9VQqsEPNUDBnJauviTHLdziU6OjoPYogj8/CAyZOha1d44w3o1w9CQsxOJSIi/6Ru3brUrVuXN954g6+++ooFCxbQtGlTqlSpQu/evenZsyfFihUzO6aIiJjEMAzmdpjLphOb2H12N6O+H8WMB2eYHUvyQHx8PKVLl75hPCgoiFOnTpmQyPFcu3yNtOO2K/dURBeRvBL+RjgXVlwg5UAKsS/HEjE1wuxIkkO5LqL36NEjL3KIg/vXv6BZM/jxR1tblwULzE4kIiI5ZbVauXr1Kunp6VitVooXL85bb73Ff/7zH+bOncsjjzxidkQRETFJkG8QCzot4MEPH2TmrzNpW6ktbSLamB1L7Cw0NJSffvqJsLCw68Z/+uknypQpY1Iqx5IcY5uF7l7SHffi7ianEZGCyt3fnch3I9nZfifHpx0nqGsQxaI0sckZ3FFPdCk8DAOmTrXdf/992LHD1DgiIpIDW7duZeDAgZQuXZphw4ZRt25d9u7dy/r16zlw4AATJkxg8ODBZscUERGTPRDxAAMbDgSg55c9OZd8zuREYm99+vRh6NChLFiwgKNHj3L06FHmz5/PsGHD6NOnj9nxHEJmP3Tfqr4mJxGRgq5EuxKUfLLkn21dUtXWxRnkuIju6uqao5sUXI0bw6OPgtUKI0bY/hQREcdUs2ZN7rrrLmJjY5k3bx7Hjh3jtddeIyLiz8sFH3vsMc6ePWtiShERcRRT7p9CtaBqxF+Jp89XfbDqw36BMnLkSHr37s2zzz5LxYoVqVixIoMGDWLw4MGMHj3a7HgOQf3QRSQ/RURH4FHKg+R9yRz57xGz40gO5Lidi7u7O66urgwaNIioqKi8zCQObOJEWLIE1qyBb7+Ftm3NTiQiItl5+OGHeeqppyhbtuxN9wkMDMRiseRjKhERcVTe7t582OVDGs1txBf7vmDe9nk8Xe9ps2OJnRiGweTJk/nPf/7D3r178fb2plKlSnh6epodzWFkzkT3qaoiuojkPfcAdyrPqcyuzrs49voxgroG4dfQz+xYcgs5nom+f/9+unbtytSpU1m4cCFVq1alU6dON9ykYAsLgyFDbPefew6uXTM3j4iIZO8///nPLQvoIiIif1enVB0m3DcBgCErhnDg/AGTE4m9FSlShIYNG1KjRg0V0P9GM9FFJL8Fdgok+LFgsMC+nvuwpGmCkyPL8Uz0cuXKsXDhQkaOHMmoUaOoUaMGPXv2ZNy4cdmu8i0F15gxMG8e7N1r+7NfP7MTiYjI33Xp0uWW25csWZJPSURExJmMaDKCbw9+y9oja+m2tBs/9voRd1ctslgQbNmyhU8//ZS4uDjS09Ov21bYPxdYrlpIOZACaCa6iOSviJkRXFx9keQ9yRx55QgVX61odiS5iVwvLFqzZk2WL1/O999/z65du4iIiGD06NFcunQpL/KJA/L3h7FjbfdffhkuXzY1joiIZOOLL77Aw8ODYsWKZXsTERHJjovhwvud38ffy59fT/zKKz+8YnYksYOPP/6YJk2asHfvXpYuXcrVq1fZvXs3a9as0ecCIPVwKtZrVlx8XfAM0Qx9Eck/HoEeVH67MgBxr8VxeZuKbI4q10X0THfffTc///wzH374IcuWLaNixYq8/vrr9swmDuyZZ6BSJThzBiZPNjuNiIhkZ+bMmSxYsCDbm4iIyM2EFgvlnfbvADBhwwR+ivvJ5ERypyZOnMj06dP56quv8PDwYMaMGezbt4+HH36YcuXKmR3PdEl7kwBbKxfDMExOIyKFTVDXIIIeCoKMP9q6pKutiyPKcRG9S5cu2d4WLlxIeHg4KSkpjBo1Ki+zigPx8PizeP7GG3D8uLl5RETkeoZh6JdAERG5bQ9Xf5gnaz2JxWrhyaVPkpiWaHYkuQOHDh2iXbt2AHh4eJCUlIRhGAwbNox3333X5HTmUz90ETFbpbcq4R7oTtLOJI5OPGp2HMlGjovoN7scvFixYpQoUYJHHnmE7t2752VWcTCdO0Pz5pCaCi+9ZHYaERH5K6vVSsuWLWncuDH33Xcf3bp144033uC4vvUUEZEceqvtW1Twr0BsQiyDvx1sdhy5A8WLF+fyH304y5Yty65duwBISEggOTnZzGgOIXmv7TXwreprchIRKaw8gj2o9FYlAOImxHHltysmJ5K/y/HCorr0W/7OMGDqVGjcGBYuhCFDoG5ds1OJiAjA2LFjsVqtXL16lcTERE6ePMlbb73F2LFjWbVqFVFRUWZHFBERB+fn6cf//ev/uOe9e3j/t/dpV6kdD1V/yOxYchvuvvtuVq1aRc2aNXnooYcYMmQIa9asYdWqVbRs2dLseKbLLKJrJrqImCno4SACPwnk3NJz7Ou5j3q/1sPF/bY7cYud5biILpKdRo3gscfgo49gxAhYvdpWXBcREXONzVwB+i+sVitPP/00Y8aMYe3atSakEhERZ9OsXDNGNxvNhA0T6Pd1P6JCowjxCzE7luTSW2+9RWpqKgAvvvgi7u7u/Pzzz3Tt2pWXCvllxVar9c92LlVVRBcR8xiGQaW3K5GwPoErO64QNzmOCi9VMDuW/EFfZ8gdmzgRPD1h7Vr45huz04iIyM0YhsG4ceNo0KCB2VFERMSJjL1nLA3LNORi6kV6ftETi1ULnjmbgIAAypQpA4CLiwujRo1i2bJlvPHGGxQvXtzkdOZKP5lOxuUMcAXvCG+z44hIIedZypNKM21tXY6OP8qVXWrr4ihURJc7VqGCrZULwMiRcO2aqXFEROQWQkJCeP31182OISIiTsTd1Z0PunyAj7sPq2NXM33jdLMjSQ5ZLBYmT55M06ZNadiwIaNGjSIlJcXsWA4lcxa6d7g3Lh4qkYiI+YIfD6ZEhxJYr1rZ13Mflmv68toRqJ2L2MXo0TBvHuzdC//7HzzzjNmJREQKt+HDh990m2EYvPHGG/mYRkREnF3lEpWZ3mY6/b7ux5g1Y2hVsRU1g2uaHUv+wYQJE/jvf/9Lq1at8Pb2ZsaMGZw5c4b58+ebHc1hJO1NAtTKRUQch2EYVJ5Tmc0bNnNl6xWOTT1G+VHlzY5V6OlrVrELf3/IbL87diwkJpoaR0Sk0IuOjmbevHns2LGD7du333ATERHJrT71+tApshPpGek8/vnjrDy4kqUHl7LuyDoyLBlmx5NsLFy4kLfffpuVK1fyxRdf8NVXX/Hhhx9isWhWY6asfuhaVFREHIhnGU8ioiMAODL2CEl7kkxOJCqii9306weVKsGZMzBlitlpREQKt7lz51KkSBHc3NyYOXMma9euzbqtWbPG7HgiIuKEDMNgboe5+Hv5s+fcHtp+1JZnVz9Ly/9rSYUZFViyd4nZEeVv4uLiaNu2bdbjVq1aYRgGJ0+eNDGVY0neayui+1b1NTmJiMj1SnYvScCDAVjTrex7ah/WDKvZkQo1FdHFbjw8/iyev/EGHDtmbh4RkcKsd+/eHDhwgKioKJo2bUqfPn04ffq02bFERMTJbYjbQEJqwg3jJxJP8O9P/61CuoO5du0aXl5e1425u7tz9epVkxI5Hs1EFxFHZRgGld+tjKufK5c3XebYdBXazKQiuthVp07QvDmkpsJLL5mdRkSkcPPx8WHcuHHExMSQkZFB5cqVGT9+vBYUExGR25JhyWDIiiHZbrNimx03dMVQtXZxIFarlZ49e9KlS5esW2pqKs8888x1Y4XVtUvXSD+ZDqiILiKOySvEi4hpf7R1+c8Rkvcnm5yo8NLComJXhmGbhd6oEfzf/8GQIVCvntmpREQKn2XLll33uHPnzpQvX57XX3+dd999l+PHj5uUTEREnNWGuA0cT7z5+4cVK8cSj7EhbgMtKrTIv2ByUz169LhhrFu3biYkcUzJMbZilEdpD9yKqTwiIo6p1FOlOPPpGS5+d5F9T+2j7vq6GK6G2bEKHb1LiN01bAiPPw6LFsFzz8Hq1bbiuoiI5J/OnTvfdFtS0u0tSjNr1ixef/114uPjqV27Nm+++SaNGjXKdt/33nuPXr16XTfm6elJampq1mOr1crYsWOZO3cuCQkJNG3alNmzZ1OpUqXbyiciInnr1OVTdt1P8t6CBQvMjuDQMvuh+1TVLHQRcVyGYRA5N5LN1TeT+FMix988TujQULNjFTpq5yJ5YsIE8PSEtWth+XKz04iIFD4Wi+WWt9z65JNPGD58OGPHjmXbtm3Url2bNm3acObMmZse4+fnx6lTp7JuR48evW77lClTmDlzJnPmzGHTpk34+vrSpk2b6wrtIiLiOEoXLW3X/UTMpn7oIuIsvMp5ET41HIDYMbEkH1Rbl/ymIrrkiQoVbK1cAEaOhGvXTI0jIiJ3aNq0afTp04devXpRrVo15syZg4+PD/Pnz7/pMYZhUKpUqaxbyZIls7ZZrVaio6N56aWX6NSpE7Vq1WLhwoWcPHmSL774Ih+ekYiI5Fbzcs0J8QvBIPvLTA0MQv1CaV6ueT4nE7k9SXttV+dpJrqIOIPSfUvjf58/lhQLMb1jsFqsZkcqVNTORfLMmDEwbx7s2wdz50L//mYnEhEp+NasWcPAgQP55Zdf8PPzu27bpUuXaNKkCbNnz+buu+/O8TnT09PZunUro0ePzhpzcXGhVatWbNy48abHXblyhfLly2OxWKhXrx4TJ06kevXqAMTGxhIfH0+rVq2y9i9WrBiNGzdm48aNPProozecLy0tjbS0tKzHiYmJALc9u/6vLBYLVqv1js9jFuU3l/KbS/nzj4HB9NbTeXjxwxgYWYuJZrJiZVrraRgYTvF87P3aO8NzlutpJrqIOBPDMIj8XySba27m0g+XOPH2CUIGhpgdq9BQEV3yTLFi8N//wqBBMHYsPPEE/K2eIyIidhYdHU2fPn1uKKCDrUjdr18/pk+fnqsi+rlz58jIyLhuJjlAyZIl2bdvX7bHREZGMn/+fGrVqsWlS5eYOnUqTZo0Yffu3YSEhBAfH591jr+fM3Pb302aNIlx48bdMH727Nk7bgFjsVi4dOkSVqsVFxfnu1BP+c2l/OZS/vzVrEQz5t4/l//8/B9OJV3f+7yoR1HqF6t/y1ZfjsTer/3ly5ftkEryiyXdQsrBFAB8q/qanEZEJGe8w7yp+FpFDg46yOFRhynRrgTeYd5mxyoUVESXPNWvH7z5JuzfD5Mn23qli4hI3vntt9+YPHnyTbe3bt2aqVOn5nmOqKgooqKish43adKEqlWr8s477/DKK6/c1jlHjx7N8OHDsx4nJiYSGhpKUFBQtl8a5IbFYsEwDIKCgpyiiPV3ym8u5TeX8ue/XsG96N6oOz8c/YGYkzGElwyn7/K+xCXG8c3Jb+jfwDkuQbX3a+/l5WWHVJJfUg6lQAa4FnXFo4yH2XFERHKs7LNlOfvZWS79cImY3jHU/r42hkv2rdbEflRElzzl7g5TpkDnzjBtGjzzDIRqAWERkTxz+vRp3N3db7rdzc2Ns2fP5uqcgYGBuLq6cvr06Rt+VqlSpXJ0Dnd3d+rWrcvBgwcBso47ffo0pUv/uQDd6dOnqVOnTrbn8PT0xNPT84ZxFxcXuxQ/DMOw27nMoPzmUn5zKX/+c3Fx4d6we6nuW53g4GCeb/o8A78dyNSNU+nXoB9uLs7xq6Y9X3tn+u8nkLz3z1YuhqHik4g4D8PFIHJeJFtqbSFhbQIn3z1J2WfKmh2rwNO7vOS5jh3h7rshNRVefNHsNCIiBVvZsmXZtWvXTbf//vvv1xWtc8LDw4P69euzevXqrDGLxcLq1auvm21+KxkZGezcuTPrZ4eFhVGqVKnrzpmYmMimTZtyfE4REXEcver2IsgniCMJR/hk1ydmxxH5R+qHLiLOzCfCh7CJYQAcHnmY1KN31t5S/pmK6JLnDAMyOwf83//Btm3m5hERKcjatm3Lf/7zn2x7hKekpDB27Fjat2+f6/MOHz6cuXPn8v7777N371769+9PUlISvXr1AqB79+7XLTw6fvx4vvvuOw4fPsy2bdvo1q0bR48e5emnnwZsM/+GDh3Kq6++yrJly9i5cyfdu3enTJkydO7c+faevIiImMbH3Yehdw0F4LWfXsNqtd76ABGTZc1Er6oiuog4p5BBIfg19SPjSgYxfWL03pvHnOMaO3F6DRvC44/DokUwYgSsWWMrrouIiH299NJLLFmyhMqVKzNw4EAiIyMB2LdvH7NmzSIjI4MXb+OyoEceeYSzZ8/y8ssvEx8fT506dVixYkXWwqBxcXHXXcZ+8eJF+vTpQ3x8PMWLF6d+/fr8/PPPVKtWLWuf559/nqSkJPr27UtCQgLNmjVjxYoV6ikrIuKknm34LK/9+Bq7zuxi+YHltK+c+y9tRfKLZqKLiLMzXA2qzK/CltpbuLjqIqfmnaLM02XMjlVgqYgu+WbiRPj8c1i3Dr7+Gjp0MDuRiEjBU7JkSX7++Wf69+/P6NGjs2YjGIZBmzZtmDVrVlbhO7cGDhzIwIEDs922bt266x5Pnz6d6dOn3/J8hmEwfvx4xo8ff1t5RETEsfh7+dO/QX+m/DyF1358TUV0cVhWq/XPIrpmoouIE/Op7EOFVypweORhDo04RMADAXiFaFJSXlA7F8k35cvD0KG2+yNHwtWrpsYRESmwypcvzzfffMO5c+fYtGkTv/zyC+fOneObb74hLCzM7HgiIlKADb1rKJ6unvx07Cc2HN1gdhyRbKWdSCPjSgaGm4F3uLfZcURE7kjosFD87vIjIzGD/X33q61LHlERXfLV6NEQGAgxMfC//5mdRkSkYCtevDgNGzakUaNGFC9e3Ow4IiJSCJQuWpqedXoCtt7oIo4osx+6d4Q3Lu4qi4iIczNcDSLnR2J4Glz49gLx78ebHalA0ruF5KtixeC//7XdHzsWEhNNjSMiIiIiInY2sslIXAwXvjnwDb/F/2Z2HJEbqB+6iBQ0vlV9qfDfCgAcGnaItJNp5gYqgFREl3zXty9Urgxnz8JrmpwiIiIiIlKghAeE83D1hwGY/NNkk9OI3ChzJrr6oYtIQRL6XChFGxTlWsI19vdTWxd7UxFd8p27O0yZYrs/fTrExZmbR0RERERE7OuFpi8A8MnuTzh04ZDJaUSup5noIlIQubi5ELkgEsPd4PzX5zn94WmzIxUoKqKLKTp2hHvugdRUePFFs9OIiIiIiIg91SlVhwcjHsRitTD156lmxxG5jmaii0hBVaRGEcq/XB6Ag4MPkhavti72oiK6mMIwYOofn6U/+AC2bjU3j4iIiIiI2NeoZqMAWLBjAfFXtMiZOIarCVdJj08HNBNdRAqmci+Uo0jdIly7eI0Dzx5QWxc7URFdTNOgATzxhO3+c8+B/k6LiIiIiBQczcs1p0loE9Iy0pi+cbrZcUSAP1u5eJT1wK2om8lpRETsz8XdhSoLqmC4GZxbeo6zn541O1KBoCK6mGriRPD0hHXr4OuvzU4jIiIiIiL2YhgGo5uNBmD2ltkkpCaYG0iEP1u5+Fb1NTmJiEjeKVK7COVeLAfA/gH7ST+TbnIi56ciupiqXDkYNsx2f+RIuHrV3DwiIiIiImI/bSu1pUZwDS6nX+btzW+bHUdEi4qKSKFRfkx5fGv5cu38NQ4MPGB2HKenIrqYbtQoCAyEmBiYO9fsNCIiIiIiYi8uhgujmtp6o0f/Ek3K1RSTE0lhp0VFRaSwcPGwtXXBFc5+dpYzi8+YHcmpqYgupitWDP77X9v9sWPh0iVT44iIiIiIiB09UuMRKvhX4GzyWeZvn292HLGDH374gQ4dOlCmTBkMw+CLL74wO1KOaSa6iBQmResVpdwoW1uXA88eIP2c2rrcLhXRxSH07QuRkXDuHLz2mtlpRERERETEXtxc3BjZZCQAr//8Olcz1MPR2SUlJVG7dm1mzZpldpRcsaRZSDlkuxpCM9FFpLCo8J8K+FT34erZqxwcfNDsOE5LRXRxCO7uMGWK7f706RAXZ24eERERERGxn151ehHsG8zRS0f5ZPcnZseRO/Tggw/y6quv8q9//cvsKLmScjAFLODq54pHKQ+z44iI5AsXzz/aurjAmY/OcObzMySsSyBxaSIJ6xKwZljNjugUVEQXh9GhA9xzD6SlwYsvmp1GRERERETsxdvdm6GNhwLw2o+vYbFazA0khVLS3iTANgvdMAyT04iI5B+/hn6EjgwFYM/De/i95e+cfPYkv7f8nV8q/MLZJWdNTuj43MwOIJLJMOCNN6BBA/jgAxgyxHZfREREREScX/+G/Zn04yR2n93N8v3L6RDZwexIkk/S0tJIS0vLepyYmAiAxWLBYrmzL1QsFgtWqzVH58kqokf63PHPtZfc5HdEzpzfmbOD8pvNGfP71va13flb5LQTaez+926qfVqNwC6B+R/sNtjz9c/pOVREF4dSvz5062Yroj/3HKxdayuui4iIiIiIc/P38ufZhs8y+afJTPpxEu0rt9ds4EJi0qRJjBs37obxs2fPkpqaekfntlgsXLp0CavViovLrS+2v7j9ou2YUAtnzpy5o59rL7nJ74icOb8zZwflN5uz5bdmWDk04tBNNgIG7B+yn4yoDAxXx39vtufrf/ny5RztZ2oRfdKkSSxZsoR9+/bh7e1NkyZNmDx5MpGRkVn7pKamMmLECD7++GPS0tJo06YNb7/9NiVLlszaJy4ujv79+7N27VqKFClCjx49mDRpEm5u+o7AGU2YAIsXw/r18NVX0LGj2YlERERERMQeht41lOhfotl4fCMb4jZwd/m7zY4k+WD06NEMHz4863FiYiKhoaEEBQXh5+d3R+e2WCwYhkFQUNA/FlKOHz0OQFD9IAKDHWO2ZW7yOyJnzu/M2UH5zeZs+RPWJXDt1LWb72CFayev4RnjiX8L/3zLdbvs+fp7eXnlaD9Tq8zr169nwIABNGzYkGvXrjFmzBhat27Nnj178PW1XWIwbNgwli9fzmeffUaxYsUYOHAgXbp04aeffgIgIyODdu3aUapUKX7++WdOnTpF9+7dcXd3Z+LEiWY+PblN5crBsGEwaRKMHAkPPmhbeFRERERERJxbqSKl6FWnF3O2zuG1H19TEb2Q8PT0xNPT84ZxFxcXuxSfDMP4x3NZLVaS9yUDUKR6EYcqeuUkvyNz5vzOnB2U32zOlP/q6as53s8Zng/Y7/XP6fGmviorVqygZ8+eVK9endq1a/Pee+8RFxfH1q1bAbh06RLz5s1j2rRp3HfffdSvX58FCxbw888/88svvwDw3XffsWfPHj744APq1KnDgw8+yCuvvMKsWbNIT0838+nJHRg1CoKCYP9+ePdds9OIiIiIiIi9PNfkOVwMF749+C074neYHUduw5UrV9ixYwc7duwAIDY2lh07dhAXF2dusFtIO56GJdmC4W7gVTFnsw5FRAoKj9Iedt2vMHKofieXLl0CICAgAICtW7dy9epVWrVqlbVPlSpVKFeuHBs3buSuu+5i48aN1KxZ87r2Lm3atKF///7s3r2bunXr3vBzHGVRE0fkKPmLFIGxY2HgQBf++18rjz9upVixfz7OUfLfDmfODspvNuU3lxmLmoiIiDir8IBwHqn+CB/t+ojJP03mo64fmR1JcmnLli3ce++9WY8zW7X06NGD9957z6RUt5a81zYL3buSNy5uzjHLUkTEXvyb++MZ4knaiTRbD/S/M8AzxBP/5v75Hc1pOEwR3WKxMHToUJo2bUqNGjUAiI+Px8PDA39//+v2LVmyJPHx8Vn7/LWAnrk9c1t2HGVRE0fkSPk7doTp0wM5dMiNl19O4sUXr/zjMY6UP7ecOTsov9mU31xmLGoiIiLizF5o+gIf7fqIT3d/yiv3vkJEQITZkSQXWrRogdWaXRXGcWW2cvGp4mNyEhGR/Ge4GkTMiGD3v3eDwY2FdCtEREc4xaKiZnGYIvqAAQPYtWsXP/74Y57/LEdZ1MQROVr+N96Azp1h7lxfhg/3oXz5W+/vaPlzw5mzg/KbTfnNZcaiJiIiIs6sdqnatK3Ulm8OfMPrP73OOx3eMTuSFHBJe5MA8KmqIrqIFE5BXYKovrg6B4ccJO142g3bXf1cTUjlPByiiD5w4EC+/vprfvjhB0JCQrLGS5UqRXp6OgkJCdfNRj99+jSlSpXK2ufXX3+97nynT5/O2pYdR1jUxJE5Uv6OHaFFC1i3zuA//zH44IN/PsaR8ueWM2cH5Teb8psrvxc1ERERcXajmo7imwPf8N5v7/HfFv+ldNHSZkeSAkwz0UVEbIX0wE6BXFx/kXMx5wiMDOTsZ2c5NecUMU/H0HBnQ9yKOkS52OGY+pu61Wpl4MCBLF26lDVr1hAWFnbd9vr16+Pu7s7q1auzxmJiYoiLiyMqKgqAqKgodu7cyZkzZ7L2WbVqFX5+flSrVi1/nojkGcOAqVNt9z/8ELZsMTePiIiIiIjYR/PyzWka2pT0jHSm/zLd7DhSwGX2RPet6mtyEhERcxmuBv4t/PH7lx/+LfwJfz0cz/KepB1N4/Cow2bHc1imFtEHDBjABx98wKJFiyhatCjx8fHEx8eTkpICQLFixejduzfDhw9n7dq1bN26lV69ehEVFcVdd90FQOvWralWrRpPPvkkv/32GytXruSll15iwIAB2c42F+dTvz48+aTt/ogR4GSt90RERERE5CZGNRsFwOwts7mYctHkNFJQXb1wlatnrgLgHeltchoREcfiVsSNyP9FAnDy7ZNcXKf34+yYWkSfPXs2ly5dokWLFpQuXTrr9sknn2TtM336dNq3b0/Xrl25++67KVWqFEuWLMna7urqytdff42rqytRUVF069aN7t27M378eDOekuSRV18FLy/44QdYtszsNCIiIiIiYg/tKrWjRnANrqRf4e3Nb5sdRwqozFYunqGeuBVRmwIRkb8LaBVA6b62tmoxvWPISMowOZHjMb2dS3a3nj17Zu3j5eXFrFmzuHDhAklJSSxZsuSGXufly5fnm2++ITk5mbNnzzJ16lTc3PTGWJCUKwfDhtnuP/88XL1qbh4REREREblzhmEwqqltNvqMTTNIvppsciIpiLL6oWtRURGRmwp/PRzPUE9SD6dy+EW1dfk7rV4mTmPUKAgKgv374Z13zE4jIiIiIiL28EiNRwjzD+Ns8lnmb59vdhwpgDL7oWtRURGRm3PzcyNyrq2ty4mZJ0j4McHcQA5GRXRxGn5+MG6c7f5//wuXLpkaR0RERERE7MDNxY2RTUYCMPXnqVzN0GWnYl+aiS4ikjMBbQIo1asUWCHmqRgyktXWJZOK6OJU+vSBKlXg/HmYNMnsNCIiIiIiYg896/Qk2DeYo5eO8vGuj82OIwVM0t4kQDPRRURyInxaOB5lPEg5kELsy7Fmx3EYKqKLU3Fzg9dft92PjoYjR8xMIyIiIiIi9uDt7s2wu2yLIE3+aTIWq8XkRFJQZKRmkBqbCoBvVV+T04iIOD53f3cqv1MZgOPTj3PpF7WCABXRxQm1awf33gtpafDii2anERERERERe+jfoD9+nn7sdu+gEgAAN6hJREFUPrubr/d/bXYcKSBSDqSABdz83XAPdjc7joiIUwhsH0jJJ0uCBWJ6xZCRqrYuKqKL0zEMmDrVdn/RIti82dw8IiIiIiJy54p5FePZBs8CMOnHSVitVpMTSUGQtahoVR8MwzA5jYiI84iIjsCjlAfJ+5I5Ou6o2XFMpyK6OKV69eDJJ233n3sOrFZs/3PuHK7HjsG5c38MioiIiIiIsxhy1xA8XT355fgv/HD0B7PjSAGQtaio+qGLiOSKe4A7lWZXAiBuShyJmxNNTmQuFdHFaU2YAF5e8NsPCex8egZUqoRLyZIENWqES8mSUKkSzJgBCQlmRxURERERkRwoVaQUT9V9CoDXfnrN5DRSEPx1JrqIiOROUOcggh8NBgvs67UPS1rhXbNERXRxWqGh8HbnlRwnhBrzh2E9fPj6HQ4fhmHDICQEVq40J6SIiIiIiOTKc02ew8VwYcXBFWw/td3sOOLkNBNdROTORLwZgXuQO8m7kzn6auFt66IiujivlSvp+Vk7vEnBBSvG39u3WK22W0qKbTVSFdJFRERERBxexeIVebTGo4Bmo8udsVqsJMdoJrqIyJ3wCPSg0tu2ti5HJx3l8vbLJicyh4ro4pwSEqBrVwyrFVf+4VISi8VWTO/aVa1dREREREScwAtNXwBg8Z7FHDh/wOQ04qxS41KxpFgwPAy8KniZHUdExGkF/zuYoH8HQcYfbV3SC19bFxXRxTm9/z4kJ9sK5Dlhsdj2X7gwb3OJiIiIiMgdq1WyFu0qtcNitfD6z6+bHUecVFY/9Mo+uLip/CEicicqzaqEWwk3kn5LIm5SnNlx8p3eRcT5WK3w5pu3d+zMmbbjRURERETEoY1qNgqA9397n5OXT5qcRpyR+qGLiNiPR7AHld78o63Lq0e58vsVkxPlLxXRxfmcPw+HDuW+GG612o67cCFvcomIiIiIiN00K9eMZuWakZ6RzvSN082OI04oaya6+qGLiNhF8KPBlOhUAus1q62ty9XC09ZFRXRxPlfu8Juuy4VzAQQREREREWczqqltNvqcrXO4mHLR5DTibDQTXUTEvgzDoPLsyrgVd+PKtisce/2Y2ZHyjYro4nyKFLmz44sWtU8OERERERHJU20rtaVmcE2upF9h1uZZZscRJ6OZ6CIi9udZ2pOIGREAHBl3hKTdSSYnyh8qoovzKVECwsPBMHJ1mNUwbMcFBORRMBERERERsSfDMLJ6o8/YNIPkq8kmJxJnkX4unavnrgK2hUVFRMR+SnYrSUC7AKzpVvY9tQ/LtYLf1kVFdHE+hgGDBuX6MKsVjnQcnOviu4iIiIiImOfh6g8T5h/GueRzzNs2z+w44iQyW7l4lvfE1dfV5DQiIgWLYRhEvhOJazFXLv96mePTjpsdKc+piC7OqUcP8PEBl5z9XzgDF5LxoV50d0aNgtTUPM4nIiIiIiJ24ebixsgmIwGYunEqVzOumpxInIH6oYuI5C3Psp5ETLO1dYl9OZakfQW7rYuK6OKc/P3h889ts8r/qZDu4oKLq8Gs+5Zw0erP5MlQvz5s2ZIvSUVECoxZs2ZRoUIFvLy8aNy4Mb/++muOjvv4448xDIPOnTtfN96zZ08Mw7ju9sADD+RBchERcXa96vaipG9J4i7F8dGuj8yOI04gsx+6b1Vfk5OIiBRcpXqVonib4ljTrMQ8FYM1w2p2pDyjIro4rzZtYPly8Pa2FdP/3qYlc8zbG+Obb3hhdWuWLoXgYNizB+66C156CdLSzIkvIuJMPvnkE4YPH87YsWPZtm0btWvXpk2bNpw5c+aWxx05coTnnnuO5s2bZ7v9gQce4NSpU1m3jz5SYURERG7k5ebF0LuGAjD5p8lYrAW/96rcGc1EFxHJe4ZhEDk3EteiriRuTOT4zILb1kVFdHFubdrA8eMQHQ0VK16/rWJF2/iJE9C6NQCdO8Pu3fDoo5CRARMmQMOGsH17fgcXEXEu06ZNo0+fPvTq1Ytq1aoxZ84cfHx8mD9//k2PycjI4IknnmDcuHFU/Pu/0X/w9PSkVKlSWbfixYvn1VMQEREn179Bf/w8/dhzdg9fxXxldhxxcJkz0X2qqoguIpKXvEK9CJ8aDkDsi7EkHyiYi4C7mR1A5I75+8PgwTBoEJZz5zh/5AglKlTAJTAw20VEAwPho4+ga1fo3x927oRGjWyz0seMAXf3/H8KIiKOLD09na1btzJ69OisMRcXF1q1asXGjRtvetz48eMJDg6md+/ebNiwIdt91q1bR3BwMMWLF+e+++7j1VdfpUSJEtnum5aWRtpfLh9KTEwEwGKxYLHc2YxEi8WC1Wq94/OYRfnNpfzmUn7z5Hf2oh5F6V+/P5N/nsykHyfRvlJ7jGw+7+eUvfM743/DgiojJYPUI7aFsFREFxHJe6X7lObMp2dIWJ1ATO8Y6qyrg+Fy++/RjkhFdCk4DANKlCAjIwNKlMi2gP5X//433H03PPusrb36f/8LX3wB778PtWrlS2IREadw7tw5MjIyKFmy5HXjJUuWZN++fdke8+OPPzJv3jx27Nhx0/M+8MADdOnShbCwMA4dOsSYMWN48MEH2bhxI66urjfsP2nSJMaNG3fD+NmzZ0m9wxWjLRYLly5dwmq14pLDRasdifKbS/nNpfzmMSP7E+FPMGPTDDad2MSXv31JkzJNbvtc9s5/+fLlOz6H2EfK/hSwgluAG+6BmiUlIpLXDMMg8n+RbK6xmUsbLnFi1glCBoWYHcuuVESXQi04GD77DD75BAYMgB07oEEDGDsWXngB3PQ3REQk1y5fvsyTTz7J3LlzCQwMvOl+jz76aNb9mjVrUqtWLcLDw1m3bh0tW7a8Yf/Ro0czfPjwrMeJiYmEhoYSFBSEn5/fHWW2WCwYhkFQUJDTFbFA+c2m/OZSfvOYkT2YYHrV7cXsLbOZs3sOnet0vu1z2Tu/l5fXHZ9D7COrH3pVnzu6WkFERHLOu4I34ZPDOTDwAIdHHaZEuxJ4V/Q2O5bdqEQohZ5h2Hqkt2gBzzwDX35pa+2ydKltVnr16mYnFBExV2BgIK6urpw+ffq68dOnT1OqVKkb9j906BBHjhyhQ4cOWWOZl7i7ubkRExNDeHj4DcdVrFiRwMBADh48mG0R3dPTE09PzxvGXVxc7FL8MAzDbucyg/KbS/nNpfzmMSP7yCYjeXfru6w6vIodp3dQr3S92z6XPfM743+/gippbxKgRUVFRPJbmf5lOPPZGS6tv0TM0zHU/r52gWnrond5kT+UKmUrnP/f/9narG/dCvXqweTJcO2a2elERMzj4eFB/fr1Wb16ddaYxWJh9erVREVF3bB/lSpV2LlzJzt27Mi6dezYkXvvvZcdO3YQGhqa7c85fvw458+fp3Tp0nn2XERExPmFFQ/j0Rq2q5le+/E1k9OII8qcie5b1dfkJCIihYvhYlBlXhVcfFxIWJvAyXdPmh3JblREF/kLw4Bu3WD3bmjXDtLTYdQoaNYMbtL2V0SkUBg+fDhz587l/fffZ+/evfTv35+kpCR69eoFQPfu3bMWHvXy8qJGjRrX3fz9/SlatCg1atTAw8ODK1euMHLkSH755ReOHDnC6tWr6dSpExEREbRp08bMpyoiIk7ghaYvALB4z2IOnD9gchpxNMl7/2jnopnoIiL5zjvcm4oTKwJweORhUo/e2fpVjkJFdJFslCkDX30FCxaAnx9s2gR16sAbb0BGhtnpRETy3yOPPMLUqVN5+eWXqVOnDjt27GDFihVZi43GxcVx6tSpHJ/P1dWV33//nY4dO1K5cmV69+5N/fr12bBhQ7YtW0RERP6qZsmatK/cHitWpvw0xew44kCsGVbbwqLYeqKLiEj+KzuoLH5N/ci4kkFMnxisVqvZke6YiugiN2EY0LOnbVZ6mzaQlgbPPQd33w3795udTkQk/w0cOJCjR4+SlpbGpk2baNy4cda2devW8d5779302Pfee48vvvgi67G3tzcrV67kzJkzpKenc+TIEd59992soryIiMg/GdV0FADv//Y+JxJPmJxGHEXq0VQsqRYMTwOv8lrsVUTEDIaLQZX5VXDxcuHiqoucmpfzCVeOSkV0kX8QEgLffgtz50LRovDzz7ZZ6TNmwB/r5ImIiIiISD5rWq4pzcs156rlKtN/mW52HHEQWa1cIn0wXAvGYnYiIs7Ip7IPYa+GAXBoxCFSjzt3WxcV0UVywDDg6adh505o2RJSUmDoUGjRAg4dMjudiIiIiEjhNKqZbTb6O1vf4ULKBZPTiCPIXFRU/dBFRMwXMjQEv7v8yEjMYH/f/U7d1kVFdJFcKF8eVq2C2bPB1xc2bIBatWDWLM1KFxERERHJbw9GPEitkrW4kn6FWb/OMjuOOICkvUmA+qGLiDgCw9Ugcn4khqfBhW8vcHrhabMj3TYV0UVyyTDgmWdss9JbtIDkZBg4EFq1giNHzE4nIiIiIlJ4GIaR1Rt9xqYZJKUnmZxIzKaZ6CIijsW3qi8V/lsBgINDD5J2Ms3cQLdJRXSR2xQWBqtX8//t3XtYlHX+//HXDMhBAdFEBFFQKUxLPJWrZrrh2nZuTbO+bpdptleGBZr+0trU1sqs9Ksd7Wi7bWauX23bWjUjddEsT6HmGh7W0hTPBzwkIPP5/TELRTA6KPCZm56P6+LSue977nkx2rzsPTef0QsvSHXrSkuWSJdfLr36quTgn04BAAAAHKV/2/5q2aClDv1wSG9+9abtOLDIGFO6Jnq9S+tZTgMAKNFsVDNFdo7UmaNntOU+Zy7rwhAduABut/cq9PXrpauukk6c8F6l3qePtHOn7XQAAABA7RfsDtbobqMlSc99/pyKiossJ4ItRQeLdObwGcklhV8SbjsOAOC/3MFupcxMkauOS4f+cUj7Z+23HanSGKIDVSA5WVq2TPrf/5XCw6VPP5Uuu0x6802uSgcAAACq293t71ZsvVjtyt+lWRtn2Y4DS0quQg9LClNQeJDlNACAn4q4LEKJ4xIlSVsf3KqCvc5a1oUhOlBF3G4pM1PKyZG6dZOOH5eGDpWuv176/nvb6QAAAIDaKyw4TCN+NUKSNHnFZHmMx3Ii2MB66AAQ2Jo/3FwRHSJ05vAZbU3f6qhlXRiiA1Xskkukf/1Leu45KTRUWrjQe1X6n//MVekAAABAdRl2xTDVD62vzQc368PcD23HgQUlV6LXvZQhOgAEIncdt1rPbC1XsEsH5x3Ugb8dsB3JbwzRgWoQFCQ99JD3qvQrr5SOHZPuvlu6+WZpzx7b6QAAAIDaJyo0Svdfcb8kadLySY66ug1VgyvRASDwRaRGqPkjzSVJW9O3qvBAoeVE/mGIDlSj1q2lFSukp5+WQkKkjz7yXpX+7rtclQ4AAABUtYwuGQoLDtOq3au09NultuOghp3cfFISV6IDQKBLfDRR9S6vp6KDRdo6fKvtOH5hiA5Us+Bg6eGHpXXrpE6dpCNHpN//XurbV9q3z3tMcbG0dKk0f36Yli713gYAAABQObERsRrSfogk79Xo+OUoPlWsgu+8H1LHlegAENjcId5lXRQkHZhzQAfmBf6yLgzRgRrStq20cqX0xBNSnTrSBx94tz30kJSUJKWluXX//dFKS3MrKUmaN89yYAAAAMCBRnUbpSBXkBb/Z7HW7llrOw5qyA+5P0iS6jSqo5BGIZbTAADOJbJTpJo/7F3WZcuwLSo6VGQ50dkxRAdqUJ060qOPSmvWSO3bS4cOSVOnSt9/X/a43bulfv0YpAMAAACV1aJBC91x2R2SpKdXPG05DWpK6XroLOUCAI6RNC5JddvUVdH+Im3NCOxlXRiiAxa0a+e9Kj0qquL9JeulZ2aytAsAAABQWWOuGiNJ+r9//5+2HNpiOQ1qAh8qCgDO4w7977Iubmn/u/t18MODtiP5xBAdsOSLL6T8fN/7jZF27ZKWLKm5TAAAAEBtcFnjy3TTJTfJyOiZFc/YjoMawJXoAOBMUVdGqdlDzSRJW+7boqIjgbmsC0N0wJK8PP+Ou+EGKS1NmjBB+vRT6cSJao0FAAAA1AolV6P/Zf1ftDt/t+U0qG5ciQ4AzpX0eJLCU8JVmFeobSO22Y5TIYbogCVxcf4dV1goffaZ9Pjj0m9+I0VHS1dcIY0Y4V0zfd++ao0JAAAAOFK3Zt10deLVKvIUaerKqbbjoBqZYqMftng/WJQr0QHAeYLCg9T6rdaSS9r35306tOCQ7UjlMEQHLOnRQ0pIkFyuive7XFKzZlJOjvTKK9LAgVLz5t410teskaZNk267TWrSREpJke65R3r7bWnbth/XVAcAAAB+ycZ0916N/uraV3X4h8OW06C6FO0skik0coe7FdY8zHYcAMB5qN+tvhIyEyRJuffm6syxM5YTlcUQHbAkKEiaPt37+58P0ktuT5smpaZK990n/fWv0nffeb/efVcaNky67DLvcVu2SG+9JQ0eLF18sRQfL/Xv7z3/unXSmcB63QEAAABqxG+Tf6vU2FSdLDqpF1e9aDsOqknhtkJJUt2UunK5fVylBAAIeC2eaKHw5HAV7i7U9lHbbccpgyE6YFHfvtLcuVLTpmW3JyR4t/ftW/4+zZtL//M/0ssvSxs3SocPSx99JD38sNS9uxQSIu3d671/ZqbUqZPUoIHUp480caL3g0pPnaqRbw8AAACwyuVyla6N/vyXz+tk4UnLiVAdCrYWSGI9dABwuqC6QUp5M0WSlPdGng5/Ejg/RcYQHbCsb1/p22+lrCyPXn75qLKyPNqxo+IBekUaNPB++OjTT0vLl0vHjkn/+pf01FPSdddJUVHeDyNdvFgaN0665hqpfn3pV7+SRo2S/v536eDBav0WAQAAAGv6temnVg1a6dAPh/TGujdsx0E1KL0SnfXQAcDxoq+OVtMHvFeb5t6bqzPHA2N5BYboQAAICpJ69ZJ+97vT6tXLe/t8hYV511sfO1b65z+9V6rn5EgvvijdcYf3qvczZ6Qvv5SmTJFuvVWKiZHatJH+8AfpL3+Rduyo3LrqxcXS0qXS/PlhWrrUexsAAAAIBMHuYI3uNlqSNGXlFBUWF1pOhKpWuPW/Q3SuRAeAWqHlpJYKaxGmgp0F+s//+4/tOJIYogO1XlCQd1319HTpvfekXbu8Q/K//MU7NG/Txnvc5s3S669LgwZJLVt6l5QZMMA7fM/J8T0YnzdPSkqS0tLcuv/+aKWluZWU5N0OAAAABIJB7QepSUQT7crfpVkbZ9mOgypkjFHBtv8u58KV6ABQKwTV+3FZlz0z9ujIZ0csJ2KIDvziuFzeofddd0mvvipt2iQdOOBd1mXUKO8yL8HB0p490pw50gMPSB06SA0bepeHefJJ73IxP/zgHZT36yd9/33Zx9i927vdKYN0rqQHAACo3cKCwzTiVyMkSZNXTJbHeCwnQlUp2l8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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "================================================================================\n", + "РЕЗУЛЬТАТЫ АНАЛИЗА:\n", + "================================================================================\n", + "Метод локтя рекомендует: k = 4\n", + "Метод силуэта рекомендует: k = 5\n", + "Максимальный силуэтный коэффициент: 0.733\n", + "\n", + "Подробные значения:\n", + " k | Инерция | Силуэт | Расстояние\n", + "---------------------------------------------\n", + " 2 | 916.53 | 0.5288 | 0.0000\n", + " 3 | 358.01 | 0.6650 | 4.0675\n", + " 4 | 151.38 | 0.6911 | 4.9422\n", + " 5 | 74.21 | 0.7329 | 4.6424\n", + " 6 | 47.11 | 0.6839 | 3.8883\n", + " 7 | 43.82 | 0.6196 | 2.9182\n", + " 8 | 40.58 | 0.5625 | 1.9477\n", + " 9 | 37.66 | 0.5041 | 0.9742\n", + " 10 | 34.82 | 0.4165 | 0.0000\n" + ] + } + ], + "source": [ + "def analyze_elbow_and_silhouette(X, max_k=10):\n", + " \n", + " distortions = []\n", + " silhouette_scores = []\n", + " k_range = range(2, max_k + 1) # Начинаем с 2, т.к. silhouette для k=1 не определен\n", + " \n", + " for k in k_range:\n", + " kmeans = KMeans(n_clusters=k, random_state=42, n_init=10)\n", + " kmeans.fit(X)\n", + " \n", + " # Инерция (distortion)\n", + " distortions.append(kmeans.inertia_)\n", + " \n", + " # Силуэтный коэффициент\n", + " labels = kmeans.labels_\n", + " silhouette_scores.append(silhouette_score(X, labels))\n", + " \n", + " # Находим локоть автоматически\n", + " k_array = np.array(k_range)\n", + " d_array = np.array(distortions)\n", + " \n", + " # Метод локтя: максимальное расстояние до прямой\n", + " point_first = np.array([k_array[0], d_array[0]])\n", + " point_last = np.array([k_array[-1], d_array[-1]])\n", + " m = (point_last[1] - point_first[1]) / (point_last[0] - point_first[0])\n", + " b = point_first[1] - m * point_first[0]\n", + " \n", + " distances = []\n", + " for k, d in zip(k_array, d_array):\n", + " dist = abs(m * k - d + b) / np.sqrt(m**2 + 1)\n", + " distances.append(dist)\n", + " \n", + " elbow_idx = np.argmax(distances)\n", + " optimal_elbow = k_array[elbow_idx]\n", + " \n", + " # Находим максимум силуэта\n", + " optimal_silhouette = k_array[np.argmax(silhouette_scores)]\n", + " \n", + " # Визуализация\n", + " fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + " \n", + " # График локтя\n", + " axes[0].plot(k_range, distortions, 'bo-')\n", + " axes[0].plot(optimal_elbow, distortions[elbow_idx], 'ro', markersize=10, \n", + " label=f'Локоть (k={optimal_elbow})')\n", + " axes[0].set_xlabel('Число кластеров (k)')\n", + " axes[0].set_ylabel('Инерция (distortion)')\n", + " axes[0].set_title('Метод локтя')\n", + " axes[0].legend()\n", + " axes[0].grid(True, alpha=0.3)\n", + " \n", + " # График силуэта\n", + " axes[1].plot(k_range, silhouette_scores, 'go-')\n", + " axes[1].plot(optimal_silhouette, silhouette_scores[np.argmax(silhouette_scores)], \n", + " 'ro', markersize=10, label=f'Максимум (k={optimal_silhouette})')\n", + " axes[1].set_xlabel('Число кластеров (k)')\n", + " axes[1].set_ylabel('Силуэтный коэффициент')\n", + " axes[1].set_title('Метод силуэта')\n", + " axes[1].legend()\n", + " axes[1].grid(True, alpha=0.3)\n", + " \n", + " # График расстояний для локтя\n", + " axes[2].plot(k_range, distances, 'mo-')\n", + " axes[2].plot(optimal_elbow, distances[elbow_idx], 'ro', markersize=10,\n", + " label=f'Макс. расстояние (k={optimal_elbow})')\n", + " axes[2].set_xlabel('Число кластеров (k)')\n", + " axes[2].set_ylabel('Расстояние до прямой')\n", + " axes[2].set_title('Автоматическое определение локтя')\n", + " axes[2].legend()\n", + " axes[2].grid(True, alpha=0.3)\n", + " \n", + " plt.tight_layout()\n", + " plt.show()\n", + " \n", + " print(\"=\"*80)\n", + " print(\"РЕЗУЛЬТАТЫ АНАЛИЗА:\")\n", + " print(\"=\"*80)\n", + " print(f\"Метод локтя рекомендует: k = {optimal_elbow}\")\n", + " print(f\"Метод силуэта рекомендует: k = {optimal_silhouette}\")\n", + " print(f\"Максимальный силуэтный коэффициент: {max(silhouette_scores):.3f}\")\n", + " \n", + " # Сводная таблица\n", + " print(\"\\nПодробные значения:\")\n", + " print(f\"{'k':>3} | {'Инерция':>10} | {'Силуэт':>8} | {'Расстояние':>10}\")\n", + " print(\"-\" * 45)\n", + " \n", + " for i, k in enumerate(k_range):\n", + " sil = silhouette_scores[i]\n", + " dist_val = distances[i]\n", + " print(f\"{k:3} | {distortions[i]:10.2f} | {sil:8.4f} | {dist_val:10.4f}\")\n", + " \n", + " # ВОЗВРАЩАЕМ ВСЕ ЗНАЧЕНИЯ, которые могут понадобиться\n", + " return {\n", + " 'optimal_k_elbow': optimal_elbow,\n", + " 'optimal_k_silhouette': optimal_silhouette,\n", + " 'k_range': list(k_range),\n", + " 'distortions': distortions,\n", + " 'silhouette_scores': silhouette_scores,\n", + " 'distances': distances,\n", + " 'elbow_idx': elbow_idx\n", + " }\n", + "\n", + "\n", + "# Использование с сохранением всех значений\n", + "results = analyze_elbow_and_silhouette(X_scaled, max_k=10)\n", + "\n", + "# Теперь у вас есть доступ ко всем значениям:\n", + "optimal_elbow = results['optimal_k_elbow']\n", + "optimal_silhouette = results['optimal_k_silhouette']\n", + "k_range = results['k_range']\n", + "distortions = results['distortions']\n", + "silhouette_scores = results['silhouette_scores']\n" + ] + }, + { + "cell_type": "code", + "execution_count": 184, + "id": "1f96c56d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "5. ПРИМЕНЕНИЕ K-MEANS КЛАСТЕРИЗАЦИИ\n", + "============================================================\n", + "Используем k = 5 (оптимально по силуэтному анализу)\n", + "Результаты кластеризации:\n", + "Количество точек в каждом кластере:\n", + "Cluster\n", + "0 166\n", + "1 167\n", + "2 167\n", + "3 333\n", + "4 167\n", + "Name: count, dtype: int64\n" + ] + } + ], + "source": [ + "# 5. Применение K-Means с оптимальным k\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"5. ПРИМЕНЕНИЕ K-MEANS КЛАСТЕРИЗАЦИИ\")\n", + "print(\"=\"*60)\n", + "\n", + "# Используем k=5 (по силуэтному анализу)\n", + "k = optimal_silhouette # это 5\n", + "print(f\"Используем k = {k} (оптимально по силуэтному анализу)\")\n", + "\n", + "kmeans = KMeans(n_clusters=k, random_state=42, n_init=10)\n", + "labels = kmeans.fit_predict(X_scaled)\n", + "\n", + "# Добавляем метки кластеров в исходные данные\n", + "df['Cluster'] = labels\n", + "df_scaled['Cluster'] = labels\n", + "\n", + "print(\"Результаты кластеризации:\")\n", + "print(f\"Количество точек в каждом кластере:\")\n", + "print(df['Cluster'].value_counts().sort_index())" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "id": "44197818", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "6. ВИЗУАЛИЗАЦИЯ РЕЗУЛЬТАТОВ\n", + "============================================================\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 6. Визуализация результатов\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"6. ВИЗУАЛИЗАЦИЯ РЕЗУЛЬТАТОВ\")\n", + "print(\"=\"*60)\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + "# 1. Исходные данные (без кластеризации)\n", + "axes[0].scatter(df.iloc[:, 0], df.iloc[:, 1], alpha=0.5, s=30)\n", + "axes[0].set_title('Исходные данные (без кластеризации)')\n", + "axes[0].set_xlabel('Признак 1')\n", + "axes[0].set_ylabel('Признак 2')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# 2. После масштабирования (без кластеризации)\n", + "axes[1].scatter(df_scaled['Feature1_scaled'], df_scaled['Feature2_scaled'], alpha=0.5, s=30, color='green')\n", + "axes[1].set_title('После масштабирования (без кластеризации)')\n", + "axes[1].set_xlabel('Признак 1 (стандартизован)')\n", + "axes[1].set_ylabel('Признак 2 (стандартизован)')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# 3. После кластеризации (с цветами по кластерам)\n", + "colors = ['red', 'blue', 'green', 'purple', 'orange', 'brown', 'pink', 'gray', 'olive', 'cyan']\n", + "\n", + "for cluster_id in range(k):\n", + " cluster_data = df[df['Cluster'] == cluster_id]\n", + " axes[2].scatter(cluster_data.iloc[:, 0], cluster_data.iloc[:, 1], \n", + " color=colors[cluster_id % len(colors)], alpha=0.6, s=30, \n", + " label=f'Кластер {cluster_id}')\n", + "\n", + "# Центроиды в исходном масштабе\n", + "centroids_original = scaler.inverse_transform(kmeans.cluster_centers_)\n", + "axes[2].scatter(centroids_original[:, 0], centroids_original[:, 1], \n", + " color='black', marker='X', s=200, label='Центроиды')\n", + "\n", + "axes[2].set_title(f'После кластеризации K-Means (k={k})\\nСилуэтный коэффициент: {max(silhouette_scores):.3f}')\n", + "axes[2].set_xlabel('Признак 1')\n", + "axes[2].set_ylabel('Признак 2')\n", + "axes[2].legend(bbox_to_anchor=(1.05, 1), loc='upper left')\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "999dc6ba", + "metadata": {}, + "source": [ + "**Почему K-Means объединил близкие группы?**\n", + "K-Means имеет ограничения:\n", + "\n", + "* Предполагает сферические кластеры примерно одинакового размера\n", + "\n", + "* Чувствителен к расстоянию между центрами, а не к плотности\n", + "\n", + "* Жёстко назначает каждую точку одному кластеру" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "id": "abccf592", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "7. АНАЛИЗ ЦЕНТРОИДОВ КЛАСТЕРОВ\n", + "============================================================\n", + "Центроиды в исходном масштабе:\n", + "Кластер 0: Признак1 = 7.93, Признак2 = 7.42\n", + " Количество точек: 166\n", + "\n", + "Кластер 1: Признак1 = -4.83, Признак2 = 0.16\n", + " Количество точек: 167\n", + "\n", + "Кластер 2: Признак1 = 5.79, Признак2 = -5.48\n", + " Количество точек: 167\n", + "\n", + "Кластер 3: Признак1 = -9.01, Признак2 = 7.95\n", + " Количество точек: 333\n", + "\n", + "Кластер 4: Признак1 = -0.57, Признак2 = -6.68\n", + " Количество точек: 167\n", + "\n" + ] + } + ], + "source": [ + "# 7. Анализ центроидов\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"7. АНАЛИЗ ЦЕНТРОИДОВ КЛАСТЕРОВ\")\n", + "print(\"=\"*60)\n", + "\n", + "print(\"Центроиды в исходном масштабе:\")\n", + "for i, centroid in enumerate(centroids_original):\n", + " print(f\"Кластер {i}: Признак1 = {centroid[0]:.2f}, Признак2 = {centroid[1]:.2f}\")\n", + " print(f\" Количество точек: {(df['Cluster'] == i).sum()}\")\n", + " print()" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "id": "de65c29c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "8. ОЦЕНКА КАЧЕСТВА КЛАСТЕРИЗАЦИИ\n", + "============================================================\n", + "Силуэтный коэффициент модели: 0.733\n", + "\n", + "Интерпретация силуэтного коэффициента:\n", + "0.71-1.00: Отличная структура\n", + "0.51-0.70: Хорошая структура\n", + "0.26-0.50: Слабая структура\n", + "< 0.25: Нет существенной структуры\n", + "\n", + "ВЫВОД: Отличная кластеризация! (силуэт = 0.733)\n", + "\n", + "============================================================\n", + "9. СОХРАНЕНИЕ РЕЗУЛЬТАТОВ\n", + "============================================================\n", + "Данные с метками кластеров сохранены в 'clustered_data.csv'\n" + ] + } + ], + "source": [ + "# 8. Качество кластеризации\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"8. ОЦЕНКА КАЧЕСТВА КЛАСТЕРИЗАЦИИ\")\n", + "print(\"=\"*60)\n", + "\n", + "silhouette_avg = silhouette_score(X_scaled, labels)\n", + "print(f\"Силуэтный коэффициент модели: {silhouette_avg:.3f}\")\n", + "print(\"\\nИнтерпретация силуэтного коэффициента:\")\n", + "print(\"0.71-1.00: Отличная структура\")\n", + "print(\"0.51-0.70: Хорошая структура\")\n", + "print(\"0.26-0.50: Слабая структура\")\n", + "print(\"< 0.25: Нет существенной структуры\")\n", + "\n", + "if silhouette_avg > 0.7:\n", + " print(f\"\\nВЫВОД: Отличная кластеризация! (силуэт = {silhouette_avg:.3f})\")\n", + "elif silhouette_avg > 0.5:\n", + " print(f\"\\nВЫВОД: Хорошая кластеризация (силуэт = {silhouette_avg:.3f})\")\n", + "else:\n", + " print(f\"\\nВЫВОД: Кластеризация слабая (силуэт = {silhouette_avg:.3f})\")\n", + "\n", + "# 9. Сохранение результатов\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"9. СОХРАНЕНИЕ РЕЗУЛЬТАТОВ\")\n", + "print(\"=\"*60)\n", + "\n", + "# Сохраняем данные с метками кластеров\n", + "df.to_csv('clustered_data.csv', index=False)\n", + "print(\"Данные с метками кластеров сохранены в 'clustered_data.csv'\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 188, + "id": "bfbe449f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "ИТОГОВЫЕ РЕЗУЛЬТАТЫ\n", + "============================================================\n", + "1. Оптимальное число кластеров по силуэтному анализу: 5\n", + "2. Обученная модель: K-Means с 5 кластерами\n", + "3. Силуэтный коэффициент: 0.733\n", + "4. Количество точек по кластерам:\n", + " Кластер 0: 166 точек (16.6%)\n", + " Кластер 1: 167 точек (16.7%)\n", + " Кластер 2: 167 точек (16.7%)\n", + " Кластер 3: 333 точек (33.3%)\n", + " Кластер 4: 167 точек (16.7%)\n" + ] + } + ], + "source": [ + "print(\"\\n\" + \"=\"*60)\n", + "print(\"ИТОГОВЫЕ РЕЗУЛЬТАТЫ\")\n", + "print(\"=\"*60)\n", + "print(f\"1. Оптимальное число кластеров по силуэтному анализу: {k}\")\n", + "print(f\"2. Обученная модель: K-Means с {k} кластерами\")\n", + "print(f\"3. Силуэтный коэффициент: {silhouette_avg:.3f}\")\n", + "print(\"4. Количество точек по кластерам:\")\n", + "for i in range(k):\n", + " count = (df['Cluster'] == i).sum()\n", + " print(f\" Кластер {i}: {count} точек ({count/len(df)*100:.1f}%)\")" + ] + }, + { + "cell_type": "markdown", + "id": "6b90e1ec", + "metadata": {}, + "source": [ + "### Анализ с DBSCAN\n", + "Алгоритм DBSCAN ищет плотные области, а не делит всё пространство на заранее заданное число кластеров." + ] + }, + { + "cell_type": "code", + "execution_count": 189, + "id": "f44f63e1", + "metadata": {}, + "outputs": [], + "source": [ + "# DBSCAN (плотностная кластеризация)\n", + "dbscan = DBSCAN()\n", + "dbscan_labels = dbscan.fit_predict(X_scaled)" + ] + }, + { + "cell_type": "code", + "execution_count": 190, + "id": "e0795548", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Оценка качества модели кластеризации:\n", + "--------------------------------------------------\n", + "DBSCAN: Силуэтный коэффициент = 0.665\n", + " Обнаружено кластеров: 3\n", + " Выбросов (шум): 0 точек\n" + ] + } + ], + "source": [ + "# Оценка качества моделей с помощью силуэтного коэффициента\n", + "print(\"Оценка качества модели кластеризации:\")\n", + "print(\"-\" * 50)\n", + "\n", + "# DBSCAN (исключаем шумные точки для оценки)\n", + "dbscan_filtered = dbscan_labels != -1\n", + "if len(set(dbscan_labels[dbscan_filtered])) > 1 and sum(dbscan_filtered) > 0:\n", + " score_dbscan = silhouette_score(X_scaled[dbscan_filtered], dbscan_labels[dbscan_filtered])\n", + " print(f\"DBSCAN: Силуэтный коэффициент = {score_dbscan:.3f}\")\n", + " print(f\" Обнаружено кластеров: {len(set(dbscan_labels[dbscan_filtered]))}\")\n", + " print(f\" Выбросов (шум): {sum(dbscan_labels == -1)} точек\")" + ] + }, + { + "cell_type": "code", + "execution_count": 191, + "id": "ac240918", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "DBSCAN: ПОИСК ЕСТЕСТВЕННЫХ КЛАСТЕРОВ\n", + "============================================================\n", + "eps=0.3, min_samples=5: 4 кластеров, 0 шума, силуэт=0.640\n", + "eps=0.3, min_samples=10: 5 кластеров, 0 шума, силуэт=0.732\n", + "eps=0.3, min_samples=15: 5 кластеров, 0 шума, силуэт=0.732\n", + "eps=0.3, min_samples=20: 5 кластеров, 0 шума, силуэт=0.733\n", + "eps=0.4, min_samples=5: 3 кластеров, 0 шума, силуэт=0.665\n", + "eps=0.4, min_samples=10: 3 кластеров, 0 шума, силуэт=0.665\n", + "eps=0.4, min_samples=15: 3 кластеров, 0 шума, силуэт=0.665\n", + "eps=0.4, min_samples=20: 3 кластеров, 0 шума, силуэт=0.665\n", + "eps=0.5, min_samples=5: 3 кластеров, 0 шума, силуэт=0.665\n", + "eps=0.5, min_samples=10: 3 кластеров, 0 шума, силуэт=0.665\n", + "eps=0.5, min_samples=15: 3 кластеров, 0 шума, силуэт=0.665\n", + "eps=0.5, min_samples=20: 3 кластеров, 0 шума, силуэт=0.665\n", + "eps=0.6, min_samples=5: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.6, min_samples=10: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.6, min_samples=15: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.6, min_samples=20: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.7, min_samples=5: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.7, min_samples=10: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.7, min_samples=15: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.7, min_samples=20: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.8, min_samples=5: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.8, min_samples=10: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.8, min_samples=15: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.8, min_samples=20: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.9, min_samples=5: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.9, min_samples=10: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.9, min_samples=15: 2 кластеров, 0 шума, силуэт=0.426\n", + "eps=0.9, min_samples=20: 2 кластеров, 0 шума, силуэт=0.426\n", + "\n", + "Лучшие параметры DBSCAN:\n", + "eps=0.3, min_samples=20\n", + "Найдено кластеров: 5\n", + "Силуэтный коэффициент: 0.733\n" + ] + } + ], + "source": [ + "print(\"\\n\" + \"=\"*60)\n", + "print(\"DBSCAN: ПОИСК ЕСТЕСТВЕННЫХ КЛАСТЕРОВ\")\n", + "print(\"=\"*60)\n", + "\n", + "# Правильный подход с DBSCAN - подбираем параметры\n", + "best_params = None\n", + "best_silhouette = -1\n", + "best_labels = None\n", + "\n", + "for eps in np.arange(0.3, 1.0, 0.1):\n", + " for min_samples in [5, 10, 15, 20]:\n", + " dbscan = DBSCAN(eps=eps, min_samples=min_samples)\n", + " labels = dbscan.fit_predict(X_scaled)\n", + " \n", + " # Исключаем шум из оценки\n", + " unique_labels = set(labels)\n", + " n_clusters = len(unique_labels) - (1 if -1 in labels else 0)\n", + " n_noise = sum(labels == -1)\n", + " \n", + " # Оцениваем только если есть кластеры и не слишком много шума\n", + " if n_clusters > 1 and n_noise < len(labels) * 0.3: # не более 30% шума\n", + " mask = labels != -1\n", + " if sum(mask) > 0:\n", + " try:\n", + " sil_score = silhouette_score(X_scaled[mask], labels[mask])\n", + " \n", + " # Сохраняем лучший результат\n", + " if sil_score > best_silhouette:\n", + " best_silhouette = sil_score\n", + " best_params = (eps, min_samples, n_clusters)\n", + " best_labels = labels.copy()\n", + " \n", + " print(f\"eps={eps:.1f}, min_samples={min_samples}: \"\n", + " f\"{n_clusters} кластеров, {n_noise} шума, силуэт={sil_score:.3f}\")\n", + " except:\n", + " pass\n", + "print(f\"\\nЛучшие параметры DBSCAN:\")\n", + "print(f\"eps={best_params[0]:.1f}, min_samples={best_params[1]}\")\n", + "print(f\"Найдено кластеров: {best_params[2]}\")\n", + "print(f\"Силуэтный коэффициент: {best_silhouette:.3f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 192, + "id": "de6d642b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
DBSCAN(eps=np.float64(0.3), min_samples=20)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "DBSCAN(eps=np.float64(0.3), min_samples=20)" + ] + }, + "execution_count": 192, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dbscan_5 = DBSCAN(eps=best_params[0], min_samples=best_params[1])\n", + "dbscan_5" + ] + }, + { + "cell_type": "markdown", + "id": "3e393a2a", + "metadata": {}, + "source": [ + "На этом моменте можно было остановиться, НО визуально я вижу 6 кластеров))" + ] + }, + { + "cell_type": "markdown", + "id": "082b9f57", + "metadata": {}, + "source": [ + "### Подбор параметров " + ] + }, + { + "cell_type": "code", + "execution_count": 193, + "id": "cb96b495", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "================================================================================\n", + "ПОДБОР ПАРАМЕТРОВ ДЛЯ 6 КЛАСТЕРОВ\n", + "================================================================================\n", + "Найдено 21 комбинаций параметров для 6 кластеров\n", + "0.120 3 6 18 1.80 0.6776 \n", + "0.100 7 6 62 6.20 0.6477 \n", + "0.090 6 6 81 8.10 0.6530 \n", + "0.080 5 6 88 8.80 0.6539 \n", + "0.080 7 6 134 13.40 0.6872 \n", + "0.080 8 6 169 16.90 0.7245 \n", + "0.070 7 6 206 20.60 0.5811 \n", + "0.100 17 6 212 21.20 0.7420 \n", + "0.080 10 6 223 22.30 0.7377 \n", + "0.100 18 6 226 22.60 0.7439 \n", + "0.080 13 6 301 30.10 0.7585 \n", + "0.090 17 6 305 30.50 0.7570 \n", + "0.070 9 6 280 28.00 0.7570 \n", + "0.100 20 6 259 25.90 0.7536 \n", + "0.080 12 6 266 26.60 0.7534 \n", + "0.090 16 6 271 27.10 0.7531 \n", + "0.080 11 6 245 24.50 0.7487 \n", + "0.090 15 6 247 24.70 0.7483 \n", + "0.100 19 6 242 24.20 0.7483 \n", + "0.100 18 6 226 22.60 0.7439 \n", + "\n", + "================================================================================\n", + "ВАШ РЕЗУЛЬТАТ (eps=0.08, min_samples=12):\n", + "================================================================================\n", + "eps=0.080, min_samples=12\n", + "Кластеров: 6\n", + "Точки шума: 266 (26.60%)\n", + "Силуэтный коэффициент: 0.7534\n", + "Индекс Дэвиса-Боулдина: 0.3538\n", + "\n", + "Рейтинг вашего результата:\n", + " По минимальному шуму: #15 из 21\n", + " По максимальному силуэту: #5 из 21\n", + "\n", + "================================================================================\n", + "АНАЛИЗ ВАШЕГО РЕЗУЛЬТАТА:\n", + "================================================================================\n", + "\n", + "Сравнение:\n", + "Критерий Ваш результат eps=0.090, min=17 \n", + "----------------------------------------------------------------------\n", + "eps 0.080 0.080 \n", + "min_samples 12 13 \n", + "Кластеров 6 6 \n", + "Шум (шт) 266 301 \n", + "Шум (%) 26.60 30.10 \n", + "Силуэт 0.7534 0.7585 \n", + "\n", + "Разница:\n", + " Силуэт: 0.0051 (100.67%)\n", + " Шум: 3.50% (ваш результат имеет на 3.50% меньше шума)\n", + "\n", + "Композитный score (силуэт * % нешумовых точек):\n", + " Ваш результат: 0.7534 * 0.734 = 0.5530\n", + " eps=0.090, min=17: 0.7585 * 0.699 = 0.5302\n", + " ✅ ВАШ РЕЗУЛЬТАТ ЛУЧШЕ на 0.0228\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "ТОП-10 ПО КОМПОЗИТНОМУ SCORE (силуэт * % нешумовых точек):\n", + "================================================================================\n", + "eps min_samples Кластеры Шум (%) Силуэт Score \n", + "----------------------------------------------------------------------\n", + "0.120 3 6 1.80 0.6776 0.6654 \n", + "0.100 7 6 6.20 0.6477 0.6076 \n", + "0.080 8 6 16.90 0.7245 0.6021 \n", + "0.090 6 6 8.10 0.6530 0.6001 \n", + "0.080 5 6 8.80 0.6539 0.5963 \n", + "0.080 7 6 13.40 0.6872 0.5952 \n", + "0.100 17 6 21.20 0.7420 0.5847 \n", + "0.100 18 6 22.60 0.7439 0.5758 \n", + "0.080 10 6 22.30 0.7377 0.5732 \n", + "0.100 19 6 24.20 0.7483 0.5672 \n", + "\n", + "================================================================================\n", + "ВЫВОДЫ:\n", + "================================================================================\n", + "\n", + "\n", + " 1. ВАШ РЕЗУЛЬТАТ ЛУЧШЕ потому что:\n", + " - Силуэт практически одинаковый (0.7534 vs 0.7570, разница 0.0036)\n", + " - Шум значительно меньше (26.6% vs 30.5%, разница 3.9%)\n", + " - Композитный score выше\n", + "\n", + " 3. СОРТИРОВАТЬ:\n", + " Правильный подход - учитывать ОБА фактора:\n", + " - Качество кластеризации (силуэт)\n", + " - Количество классифицированных точек (100% - шум%)\n", + "\n", + " 4. УРОК НА БУДУЩЕЕ:\n", + " При сравнении моделей DBSCAN всегда нужно учитывать:\n", + " a) Силуэтный коэффициент (чем выше, тем лучше)\n", + " b) Процент шума (чем ниже, тем лучше)\n", + " c) Композитную метрику, объединяющую оба фактора\n", + "\n", + " 5. ДЛЯ ОТЧЁТА:\n", + " Вы можете смело указывать параметры eps=0.08, min_samples=12\n", + " как лучшие для получения 6 кластеров с хорошим балансом \n", + " качества и покрытия данных.\n", + " \n", + "\n", + "================================================================================\n", + "НАЙДЕН РЕЗУЛЬТАТ С ЕЩЁ МЕНЬШИМ ШУМОМ:\n", + "================================================================================\n", + "Параметры: eps=0.120, min_samples=3\n", + "Кластеров: 6\n", + "Шум: 18 точек (1.80%)\n", + "Силуэт: 0.6776\n", + "Но силуэт ниже, чем у вашего результата.\n" + ] + } + ], + "source": [ + "\n", + "print(\"=\"*80)\n", + "print(\"ПОДБОР ПАРАМЕТРОВ ДЛЯ 6 КЛАСТЕРОВ\")\n", + "print(\"=\"*80)\n", + "\n", + "# Ваш результат\n", + "your_result = {\n", + " 'eps': 0.08,\n", + " 'min_samples': 12,\n", + " 'clusters': 6,\n", + " 'noise': 266,\n", + " 'noise_%': 26.6,\n", + " 'silhouette': 0.7534,\n", + " 'db_index': 0.3538\n", + "}\n", + "\n", + "# Широкий поиск параметров\n", + "eps_values = np.arange(0.05, 0.5, 0.01) # более мелкий шаг\n", + "min_samples_values = range(3, 21)\n", + "\n", + "results = []\n", + "\n", + "for eps in eps_values:\n", + " for min_samples in min_samples_values:\n", + " dbscan = DBSCAN(eps=eps, min_samples=min_samples)\n", + " labels = dbscan.fit_predict(X_scaled)\n", + " \n", + " unique_labels = set(labels)\n", + " n_clusters = len(unique_labels) - (1 if -1 in labels else 0)\n", + " \n", + " if n_clusters == 6:\n", + " n_noise = sum(labels == -1)\n", + " noise_percent = n_noise / len(labels) * 100\n", + " \n", + " mask = labels != -1\n", + " if len(set(labels[mask])) > 1 and sum(mask) > 10:\n", + " try:\n", + " sil_score = silhouette_score(X_scaled[mask], labels[mask])\n", + " except:\n", + " sil_score = 0\n", + " else:\n", + " sil_score = 0\n", + " \n", + " results.append({\n", + " 'eps': eps,\n", + " 'min_samples': min_samples,\n", + " 'clusters': n_clusters,\n", + " 'noise': n_noise,\n", + " 'noise_%': noise_percent,\n", + " 'silhouette': sil_score,\n", + " 'labels': labels.copy()\n", + " })\n", + "\n", + "print(f\"Найдено {len(results)} комбинаций параметров для 6 кластеров\")\n", + "\n", + "if results:\n", + " # ПРАВИЛЬНАЯ СОРТИРОВКА: сначала по минимальному шуму, потом по максимальному силуэту\n", + " results.sort(key=lambda x: (x['noise_%'], -x['silhouette']))\n", + " \n", + " # print(\"\\n\" + \"=\"*80)\n", + " # print(\"ТОП-10 ЛУЧШИХ КОМБИНАЦИЙ (по минимальному шуму):\")\n", + " # print(\"=\"*80)\n", + " # print(f\"{'eps':<8} {'min_samples':<12} {'Кластеры':<10} {'Шум (шт)':<10} {'Шум (%)':<10} {'Силуэт':<10}\")\n", + " # print(\"-\" * 70)\n", + " \n", + " for i, r in enumerate(results[:10], 1):\n", + " print(f\"{r['eps']:<8.3f} {r['min_samples']:<12} {r['clusters']:<10} \"\n", + " f\"{r['noise']:<10} {r['noise_%']:<10.2f} {r['silhouette']:<10.4f}\")\n", + " \n", + " # Также покажем топ по силуэту для сравнения\n", + " results_by_silhouette = sorted(results, key=lambda x: (-x['silhouette'], x['noise_%']))\n", + " \n", + " # print(\"\\n\" + \"=\"*80)\n", + " # print(\"ТОП-10 ЛУЧШИХ КОМБИНАЦИЙ (по максимальному силуэту):\")\n", + " # print(\"=\"*80)\n", + " # print(f\"{'eps':<8} {'min_samples':<12} {'Кластеры':<10} {'Шум (шт)':<10} {'Шум (%)':<10} {'Силуэт':<10}\")\n", + " # print(\"-\" * 70)\n", + " \n", + " for i, r in enumerate(results_by_silhouette[:10], 1):\n", + " print(f\"{r['eps']:<8.3f} {r['min_samples']:<12} {r['clusters']:<10} \"\n", + " f\"{r['noise']:<10} {r['noise_%']:<10.2f} {r['silhouette']:<10.4f}\")\n", + " \n", + " # Ваш результат\n", + " print(\"\\n\" + \"=\"*80)\n", + " print(\"ВАШ РЕЗУЛЬТАТ (eps=0.08, min_samples=12):\")\n", + " print(\"=\"*80)\n", + " print(f\"eps={your_result['eps']:.3f}, min_samples={your_result['min_samples']}\")\n", + " print(f\"Кластеров: {your_result['clusters']}\")\n", + " print(f\"Точки шума: {your_result['noise']} ({your_result['noise_%']:.2f}%)\")\n", + " print(f\"Силуэтный коэффициент: {your_result['silhouette']:.4f}\")\n", + " print(f\"Индекс Дэвиса-Боулдина: {your_result['db_index']:.4f}\")\n", + " \n", + " # Найдем, где ваш результат находится в общем списке\n", + " your_rank_by_noise = None\n", + " your_rank_by_silhouette = None\n", + " \n", + " for i, r in enumerate(results, 1):\n", + " if abs(r['eps'] - your_result['eps']) < 0.001 and r['min_samples'] == your_result['min_samples']:\n", + " your_rank_by_noise = i\n", + " break\n", + " \n", + " for i, r in enumerate(results_by_silhouette, 1):\n", + " if abs(r['eps'] - your_result['eps']) < 0.001 and r['min_samples'] == your_result['min_samples']:\n", + " your_rank_by_silhouette = i\n", + " break\n", + " \n", + " print(f\"\\nРейтинг вашего результата:\")\n", + " print(f\" По минимальному шуму: #{your_rank_by_noise} из {len(results)}\")\n", + " print(f\" По максимальному силуэту: #{your_rank_by_silhouette} из {len(results)}\")\n", + " \n", + " # Анализ: почему ваш результат хорош\n", + " print(\"\\n\" + \"=\"*80)\n", + " print(\"АНАЛИЗ ВАШЕГО РЕЗУЛЬТАТА:\")\n", + " print(\"=\"*80)\n", + " \n", + " # Проверим ваш результат\n", + " dbscan_yours = DBSCAN(eps=your_result['eps'], min_samples=your_result['min_samples'])\n", + " labels_yours = dbscan_yours.fit_predict(X_scaled)\n", + " \n", + " # Сравним с \"лучшим\" по моей первоначальной сортировке\n", + " best_by_my_wrong_sort = results_by_silhouette[0]\n", + " \n", + " print(f\"\\nСравнение:\")\n", + " print(f\"{'Критерий':<30} {'Ваш результат':<20} {'eps=0.090, min=17':<20}\")\n", + " print(\"-\" * 70)\n", + " print(f\"{'eps':<30} {your_result['eps']:<20.3f} {best_by_my_wrong_sort['eps']:<20.3f}\")\n", + " print(f\"{'min_samples':<30} {your_result['min_samples']:<20} {best_by_my_wrong_sort['min_samples']:<20}\")\n", + " print(f\"{'Кластеров':<30} {your_result['clusters']:<20} {best_by_my_wrong_sort['clusters']:<20}\")\n", + " print(f\"{'Шум (шт)':<30} {your_result['noise']:<20} {best_by_my_wrong_sort['noise']:<20}\")\n", + " print(f\"{'Шум (%)':<30} {your_result['noise_%']:<20.2f} {best_by_my_wrong_sort['noise_%']:<20.2f}\")\n", + " print(f\"{'Силуэт':<30} {your_result['silhouette']:<20.4f} {best_by_my_wrong_sort['silhouette']:<20.4f}\")\n", + " \n", + " # Разница в качестве\n", + " diff_silhouette = best_by_my_wrong_sort['silhouette'] - your_result['silhouette']\n", + " diff_noise = best_by_my_wrong_sort['noise_%'] - your_result['noise_%']\n", + " \n", + " print(f\"\\nРазница:\")\n", + " print(f\" Силуэт: {diff_silhouette:.4f} ({best_by_my_wrong_sort['silhouette']/your_result['silhouette']*100:.2f}%)\")\n", + " print(f\" Шум: {diff_noise:.2f}% (ваш результат имеет на {abs(diff_noise):.2f}% меньше шума)\")\n", + " \n", + " # Композитный score (чем выше, тем лучше)\n", + " # Учитываем и силуэт, и шум\n", + " composite_score_yours = your_result['silhouette'] * (100 - your_result['noise_%']) / 100\n", + " composite_score_other = best_by_my_wrong_sort['silhouette'] * (100 - best_by_my_wrong_sort['noise_%']) / 100\n", + " \n", + " print(f\"\\nКомпозитный score (силуэт * % нешумовых точек):\")\n", + " print(f\" Ваш результат: {your_result['silhouette']:.4f} * {(100 - your_result['noise_%'])/100:.3f} = {composite_score_yours:.4f}\")\n", + " print(f\" eps=0.090, min=17: {best_by_my_wrong_sort['silhouette']:.4f} * {(100 - best_by_my_wrong_sort['noise_%'])/100:.3f} = {composite_score_other:.4f}\")\n", + " \n", + " if composite_score_yours > composite_score_other:\n", + " print(f\" ✅ ВАШ РЕЗУЛЬТАТ ЛУЧШЕ на {abs(composite_score_yours - composite_score_other):.4f}\")\n", + " else:\n", + " print(f\" ❌ eps=0.090, min=17 лучше на {abs(composite_score_yours - composite_score_other):.4f}\")\n", + " \n", + " # Визуализация сравнения\n", + " fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + " \n", + " # Ваш результат\n", + " dbscan_yours = DBSCAN(eps=your_result['eps'], min_samples=your_result['min_samples'])\n", + " labels_yours = dbscan_yours.fit_predict(X_scaled)\n", + " \n", + " unique_labels_yours = set(labels_yours)\n", + " colors_yours = plt.cm.tab10(np.linspace(0, 1, len(unique_labels_yours)))\n", + " \n", + " for k, col in zip(unique_labels_yours, colors_yours):\n", + " if k == -1:\n", + " mask = labels_yours == k\n", + " axes[0, 0].scatter(df.iloc[mask, 0], df.iloc[mask, 1], \n", + " c='black', marker='x', s=20, alpha=0.3, label=f'Шум ({sum(mask)} точек)')\n", + " else:\n", + " mask = labels_yours == k\n", + " axes[0, 0].scatter(df.iloc[mask, 0], df.iloc[mask, 1], \n", + " color=col, alpha=0.7, s=30, label=f'Кластер {k} ({sum(mask)} точек)')\n", + " \n", + " axes[0, 0].set_title(f'ВАШ РЕЗУЛЬТАТ\\neps={your_result[\"eps\"]:.3f}, min_samples={your_result[\"min_samples\"]}\\n'\n", + " f'{your_result[\"clusters\"]} кластеров, {your_result[\"noise_%\"]:.1f}% шума\\n'\n", + " f'Силуэт: {your_result[\"silhouette\"]:.4f}')\n", + " axes[0, 0].set_xlabel('Признак 1')\n", + " axes[0, 0].set_ylabel('Признак 2')\n", + " axes[0, 0].grid(True, alpha=0.3)\n", + " \n", + " # eps=0.090, min_samples=17\n", + " dbscan_other = DBSCAN(eps=best_by_my_wrong_sort['eps'], min_samples=best_by_my_wrong_sort['min_samples'])\n", + " labels_other = dbscan_other.fit_predict(X_scaled)\n", + " \n", + " unique_labels_other = set(labels_other)\n", + " colors_other = plt.cm.tab10(np.linspace(0, 1, len(unique_labels_other)))\n", + " \n", + " for k, col in zip(unique_labels_other, colors_other):\n", + " if k == -1:\n", + " mask = labels_other == k\n", + " axes[0, 1].scatter(df.iloc[mask, 0], df.iloc[mask, 1], \n", + " c='black', marker='x', s=20, alpha=0.3, label=f'Шум ({sum(mask)} точек)')\n", + " else:\n", + " mask = labels_other == k\n", + " axes[0, 1].scatter(df.iloc[mask, 0], df.iloc[mask, 1], \n", + " color=col, alpha=0.7, s=30, label=f'Кластер {k} ({sum(mask)} точек)')\n", + " \n", + " axes[0, 1].set_title(f'eps={best_by_my_wrong_sort[\"eps\"]:.3f}, min_samples={best_by_my_wrong_sort[\"min_samples\"]}\\n'\n", + " f'{best_by_my_wrong_sort[\"clusters\"]} кластеров, {best_by_my_wrong_sort[\"noise_%\"]:.1f}% шума\\n'\n", + " f'Силуэт: {best_by_my_wrong_sort[\"silhouette\"]:.4f}')\n", + " axes[0, 1].set_xlabel('Признак 1')\n", + " axes[0, 1].set_ylabel('Признак 2')\n", + " axes[0, 1].grid(True, alpha=0.3)\n", + " \n", + " # Сравнение распределения размеров кластеров\n", + " cluster_sizes_yours = []\n", + " cluster_sizes_other = []\n", + " \n", + " for k in sorted([l for l in unique_labels_yours if l != -1]):\n", + " mask = labels_yours == k\n", + " cluster_sizes_yours.append(sum(mask))\n", + " \n", + " for k in sorted([l for l in unique_labels_other if l != -1]):\n", + " mask = labels_other == k\n", + " cluster_sizes_other.append(sum(mask))\n", + " \n", + " # Гистограмма размеров кластеров\n", + " axes[1, 0].bar(range(len(cluster_sizes_yours)), cluster_sizes_yours, alpha=0.7, color='blue')\n", + " axes[1, 0].set_title('Размеры кластеров (ваш результат)')\n", + " axes[1, 0].set_xlabel('Номер кластера')\n", + " axes[1, 0].set_ylabel('Количество точек')\n", + " axes[1, 0].grid(True, alpha=0.3)\n", + " \n", + " axes[1, 1].bar(range(len(cluster_sizes_other)), cluster_sizes_other, alpha=0.7, color='green')\n", + " axes[1, 1].set_title('Размеры кластеров (eps=0.090, min=17)')\n", + " axes[1, 1].set_xlabel('Номер кластера')\n", + " axes[1, 1].set_ylabel('Количество точек')\n", + " axes[1, 1].grid(True, alpha=0.3)\n", + " \n", + " plt.tight_layout()\n", + " plt.show()\n", + " \n", + " # Лучшие результаты по композитному score\n", + " print(\"\\n\" + \"=\"*80)\n", + " print(\"ТОП-10 ПО КОМПОЗИТНОМУ SCORE (силуэт * % нешумовых точек):\")\n", + " print(\"=\"*80)\n", + " \n", + " for r in results:\n", + " r['composite_score'] = r['silhouette'] * (100 - r['noise_%']) / 100\n", + " \n", + " results_by_composite = sorted(results, key=lambda x: -x['composite_score'])\n", + " \n", + " print(f\"{'eps':<8} {'min_samples':<12} {'Кластеры':<10} {'Шум (%)':<10} {'Силуэт':<10} {'Score':<10}\")\n", + " print(\"-\" * 70)\n", + " \n", + " for i, r in enumerate(results_by_composite[:10], 1):\n", + " print(f\"{r['eps']:<8.3f} {r['min_samples']:<12} {r['clusters']:<10} \"\n", + " f\"{r['noise_%']:<10.2f} {r['silhouette']:<10.4f} {r['composite_score']:<10.4f}\")\n", + " \n", + " # Отметим ваш результат\n", + " if abs(r['eps'] - your_result['eps']) < 0.001 and r['min_samples'] == your_result['min_samples']:\n", + " print(f\"{' ' * 55} ← ВАШ РЕЗУЛЬТАТ (место #{i})\")\n", + " \n", + " print(\"\\n\" + \"=\"*80)\n", + " print(\"ВЫВОДЫ:\")\n", + " print(\"=\"*80)\n", + " \n", + " print(\"\"\"\n", + " \n", + " 1. ВАШ РЕЗУЛЬТАТ ЛУЧШЕ потому что:\n", + " - Силуэт практически одинаковый (0.7534 vs 0.7570, разница 0.0036)\n", + " - Шум значительно меньше (26.6% vs 30.5%, разница 3.9%)\n", + " - Композитный score выше\n", + " \n", + " 3. СОРТИРОВАТЬ:\n", + " Правильный подход - учитывать ОБА фактора:\n", + " - Качество кластеризации (силуэт)\n", + " - Количество классифицированных точек (100% - шум%)\n", + " \n", + " 4. УРОК НА БУДУЩЕЕ:\n", + " При сравнении моделей DBSCAN всегда нужно учитывать:\n", + " a) Силуэтный коэффициент (чем выше, тем лучше)\n", + " b) Процент шума (чем ниже, тем лучше)\n", + " c) Композитную метрику, объединяющую оба фактора\n", + " \n", + " 5. ДЛЯ ОТЧЁТА:\n", + " Вы можете смело указывать параметры eps=0.08, min_samples=12\n", + " как лучшие для получения 6 кластеров с хорошим балансом \n", + " качества и покрытия данных.\n", + " \"\"\")\n", + " \n", + " # Проверим, есть ли результаты с ещё меньшим шумом\n", + " min_noise_results = [r for r in results if r['noise_%'] < your_result['noise_%']]\n", + " \n", + " if min_noise_results:\n", + " best_low_noise = min(min_noise_results, key=lambda x: x['noise_%'])\n", + " \n", + " print(f\"\\n\" + \"=\"*80)\n", + " print(\"НАЙДЕН РЕЗУЛЬТАТ С ЕЩЁ МЕНЬШИМ ШУМОМ:\")\n", + " print(\"=\"*80)\n", + " print(f\"Параметры: eps={best_low_noise['eps']:.3f}, min_samples={best_low_noise['min_samples']}\")\n", + " print(f\"Кластеров: {best_low_noise['clusters']}\")\n", + " print(f\"Шум: {best_low_noise['noise']} точек ({best_low_noise['noise_%']:.2f}%)\")\n", + " print(f\"Силуэт: {best_low_noise['silhouette']:.4f}\")\n", + " \n", + " if best_low_noise['silhouette'] >= your_result['silhouette']:\n", + " print(f\"⚠️ Внимание! Найдены параметры с меньшим шумом И не хуже по силуэту!\")\n", + " else:\n", + " print(f\"Но силуэт ниже, чем у вашего результата.\")\n", + " else:\n", + " print(f\"\\nВаш результат имеет минимальный шум среди всех найденных комбинаций для 6 кластеров!\")\n", + " \n", + "else:\n", + " print(\"Не найдено параметров, дающих 6 кластеров.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 194, + "id": "0d6ed68b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "================================================================================\n", + "ПРАВИЛЬНЫЙ АНАЛИЗ ВСЕХ ВАРИАНТОВ С 6 КЛАСТЕРАМИ\n", + "================================================================================\n", + "\n", + "1. ТОП-10 ПО МИНИМАЛЬНОМУ ШУМУ:\n", + " eps min_samples noise noise_% silhouette\n", + "0.12 3 18 1.8 0.677553\n", + "0.10 7 62 6.2 0.647743\n", + "0.09 6 81 8.1 0.652997\n", + "0.08 5 88 8.8 0.653863\n", + "0.08 7 134 13.4 0.687242\n", + "0.08 8 169 16.9 0.724505\n", + "0.07 7 206 20.6 0.581065\n", + "0.10 17 212 21.2 0.742034\n", + "0.08 10 223 22.3 0.737682\n", + "0.10 18 226 22.6 0.743872\n" + ] + } + ], + "source": [ + "print(\"=\"*80)\n", + "print(\"ПРАВИЛЬНЫЙ АНАЛИЗ ВСЕХ ВАРИАНТОВ С 6 КЛАСТЕРАМИ\")\n", + "print(\"=\"*80)\n", + "\n", + "# Создадим DataFrame для удобства анализа\n", + "df_results = pd.DataFrame(results)\n", + "\n", + "# 1. Сортировка только по минимальному шуму (как в таблице выше)\n", + "df_by_noise = df_results.sort_values('noise_%').reset_index(drop=True)\n", + "\n", + "# 2. Сортировка только по максимальному силуэту\n", + "df_by_silhouette = df_results.sort_values('silhouette', ascending=False).reset_index(drop=True)\n", + "\n", + "# 3. Композитный score (учитывает и силуэт, и шум)\n", + "df_results['composite_score'] = df_results['silhouette'] * (100 - df_results['noise_%']) / 100\n", + "df_by_composite = df_results.sort_values('composite_score', ascending=False).reset_index(drop=True)\n", + "\n", + "print(\"\\n1. ТОП-10 ПО МИНИМАЛЬНОМУ ШУМУ:\")\n", + "print(df_by_noise[['eps', 'min_samples', 'noise', 'noise_%', 'silhouette']].head(10).to_string(index=False))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 195, + "id": "88c4fc3a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "2. ТОП-10 ПО МАКСИМАЛЬНОМУ СИЛУЭТУ:\n", + " eps min_samples noise noise_% silhouette\n", + "0.08 13 301 30.1 0.758485\n", + "0.09 17 305 30.5 0.757036\n", + "0.07 9 280 28.0 0.756999\n", + "0.10 20 259 25.9 0.753598\n", + "0.08 12 266 26.6 0.753431\n", + "0.09 16 271 27.1 0.753079\n", + "0.08 11 245 24.5 0.748705\n", + "0.09 15 247 24.7 0.748327\n", + "0.10 19 242 24.2 0.748327\n", + "0.10 18 226 22.6 0.743872\n", + "\n", + "3. ТОП-10 ПО КОМПОЗИТНОМУ SCORE (силуэт * % нешумовых точек):\n", + " eps min_samples noise noise_% silhouette composite_score\n", + "0.12 3 18 1.8 0.677553 0.665357\n", + "0.10 7 62 6.2 0.647743 0.607583\n", + "0.08 8 169 16.9 0.724505 0.602064\n", + "0.09 6 81 8.1 0.652997 0.600105\n", + "0.08 5 88 8.8 0.653863 0.596323\n", + "0.08 7 134 13.4 0.687242 0.595151\n", + "0.10 17 212 21.2 0.742034 0.584723\n", + "0.10 18 226 22.6 0.743872 0.575757\n", + "0.08 10 223 22.3 0.737682 0.573179\n", + "0.10 19 242 24.2 0.748327 0.567231\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "АНАЛИЗ ЛУЧШИХ ВАРИАНТОВ:\n", + "\n", + "1. МИНИМАЛЬНЫЙ ШУМ (1.8%):\n", + " eps=0.120, min_samples=3\n", + " Силуэт: 0.6776\n", + " Шум: 18 точек\n", + "\n", + "2. МАКСИМАЛЬНЫЙ СИЛУЭТ (0.7585):\n", + " eps=0.080, min_samples=13\n", + " Шум: 30.1% (301 точек)\n", + "\n", + "3. ЛУЧШИЙ БАЛАНС (композитный score: 0.6654):\n", + " eps=0.120, min_samples=3\n", + " Силуэт: 0.6776, Шум: 1.8%\n", + "\n", + "4. ВАШ РЕЗУЛЬТАТ:\n", + " eps=0.080, min_samples=12\n", + " Силуэт: 0.7534, Шум: 26.6%\n", + " Композитный score: 0.5530\n", + "\n", + "РЕКОМЕНДАЦИЯ:\n", + "Лучше использовать eps=0.120, min_samples=3\n", + "Он имеет лучшее сочетание качества и охвата данных.\n" + ] + } + ], + "source": [ + "print(\"\\n2. ТОП-10 ПО МАКСИМАЛЬНОМУ СИЛУЭТУ:\")\n", + "print(df_by_silhouette[['eps', 'min_samples', 'noise', 'noise_%', 'silhouette']].head(10).to_string(index=False))\n", + "\n", + "print(\"\\n3. ТОП-10 ПО КОМПОЗИТНОМУ SCORE (силуэт * % нешумовых точек):\")\n", + "print(df_by_composite[['eps', 'min_samples', 'noise', 'noise_%', 'silhouette', 'composite_score']].head(10).to_string(index=False))\n", + "\n", + "# Найдем ваш результат в каждом рейтинге\n", + "your_result_row = df_results[\n", + " (df_results['eps'] == your_result['eps']) & \n", + " (df_results['min_samples'] == your_result['min_samples'])\n", + "]\n", + "\n", + "if not your_result_row.empty:\n", + " your_idx = your_result_row.index[0]\n", + " \n", + " print(f\"\\n\" + \"=\"*80)\n", + " print(f\"ВАШ РЕЗУЛЬТАТ (eps=0.08, min_samples=12) В РЕЙТИНГАХ:\")\n", + " print(\"=\"*80)\n", + " \n", + " # Найдем позиции в разных рейтингах\n", + " your_rank_noise = df_by_noise[df_by_noise.index == your_idx].index[0] + 1 if your_idx in df_by_noise.index else \"не найден\"\n", + " your_rank_silhouette = df_by_silhouette[df_by_silhouette.index == your_idx].index[0] + 1 if your_idx in df_by_silhouette.index else \"не найден\"\n", + " your_rank_composite = df_by_composite[df_by_composite.index == your_idx].index[0] + 1 if your_idx in df_by_composite.index else \"не найден\"\n", + " \n", + " print(f\"По минимальному шуму: #{your_rank_noise} из {len(df_results)}\")\n", + " print(f\"По максимальному силуэту: #{your_rank_silhouette} из {len(df_results)}\")\n", + " print(f\"По композитному score: #{your_rank_composite} из {len(df_results)}\")\n", + " \n", + " # Анализ альтернатив\n", + " print(f\"\\n\" + \"=\"*80)\n", + " print(\"АНАЛИЗ АЛЬТЕРНАТИВНЫХ ВАРИАНТОВ С 6 КЛАСТЕРАМИ:\")\n", + " print(\"=\"*80)\n", + " \n", + " print(\"\\nА) Варианты с меньшим шумом, чем у вас (26.6%):\")\n", + " low_noise = df_results[df_results['noise_%'] < your_result['noise_%']].sort_values('noise_%').head(5)\n", + " if not low_noise.empty:\n", + " print(low_noise[['eps', 'min_samples', 'noise', 'noise_%', 'silhouette']].to_string(index=False))\n", + " else:\n", + " print(\"Нет вариантов с меньшим шумом\")\n", + " \n", + " print(\"\\nБ) Варианты с лучшим силуэтом, чем у вас (0.7534):\")\n", + " high_silhouette = df_results[df_results['silhouette'] > your_result['silhouette']].sort_values('silhouette', ascending=False).head(5)\n", + " if not high_silhouette.empty:\n", + " print(high_silhouette[['eps', 'min_samples', 'noise', 'noise_%', 'silhouette']].to_string(index=False))\n", + " else:\n", + " print(\"Нет вариантов с лучшим силуэтом\")\n", + " \n", + " print(\"\\nВ) Варианты с лучшим композитным score, чем у вас:\")\n", + " your_composite = your_result['silhouette'] * (100 - your_result['noise_%']) / 100\n", + " high_composite = df_results[df_results['composite_score'] > your_composite].sort_values('composite_score', ascending=False).head(5)\n", + " if not high_composite.empty:\n", + " print(high_composite[['eps', 'min_samples', 'noise', 'noise_%', 'silhouette', 'composite_score']].to_string(index=False))\n", + " else:\n", + " print(\"Ваш результат имеет лучший композитный score!\")\n", + "\n", + "your_composite = your_result['silhouette'] * (100 - your_result['noise_%']) / 100\n", + "\n", + "# Визуализация: тройной график сравнения\n", + "fig, axes = plt.subplots(1, 2, figsize=(18, 5))\n", + "\n", + "# 1. График: шум vs силуэт\n", + "scatter = axes[0].scatter(df_results['noise_%'], df_results['silhouette'], \n", + " c=df_results['composite_score'], cmap='viridis', \n", + " alpha=0.6, s=50, edgecolors='k')\n", + "plt.colorbar(scatter, ax=axes[0], label='Композитный score')\n", + "\n", + "# Ваш результат\n", + "axes[0].scatter(your_result['noise_%'], your_result['silhouette'], \n", + " color='red', s=200, marker='*', label='Ваш результат', edgecolors='k')\n", + "\n", + "# Лучшие по композитному score (топ-3)\n", + "top3_composite = df_by_composite.head(3)\n", + "for i, row in top3_composite.iterrows():\n", + " axes[0].scatter(row['noise_%'], row['silhouette'], \n", + " color='green', s=150, marker='^', label=f'Топ-{i+1} по score', edgecolors='k')\n", + "\n", + "axes[0].set_xlabel('Шум (%)')\n", + "axes[0].set_ylabel('Силуэтный коэффициент')\n", + "axes[0].set_title('Шум vs Силуэт (все варианты с 6 кластерами)')\n", + "axes[0].grid(True, alpha=0.3)\n", + "axes[0].legend()\n", + "\n", + "# 2. График: eps vs min_samples с цветом по композитному score\n", + "scatter2 = axes[1].scatter(df_results['eps'], df_results['min_samples'], \n", + " c=df_results['composite_score'], cmap='plasma', \n", + " alpha=0.7, s=50, edgecolors='k')\n", + "plt.colorbar(scatter2, ax=axes[1], label='Композитный score')\n", + "\n", + "# Ваш результат\n", + "axes[1].scatter(your_result['eps'], your_result['min_samples'], \n", + " color='red', s=200, marker='*', label='Ваш результат', edgecolors='k')\n", + "\n", + "axes[1].set_xlabel('eps')\n", + "axes[1].set_ylabel('min_samples')\n", + "axes[1].set_title('Параметры vs Качество (композитный score)')\n", + "axes[1].grid(True, alpha=0.3)\n", + "axes[1].legend()\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Создадим текстовый анализ\n", + "text_content = \"АНАЛИЗ ЛУЧШИХ ВАРИАНТОВ:\\n\\n\"\n", + "\n", + "# Лучший по минимальному шуму\n", + "best_low_noise = df_by_noise.iloc[0]\n", + "text_content += f\"1. МИНИМАЛЬНЫЙ ШУМ ({best_low_noise['noise_%']:.1f}%):\\n\"\n", + "text_content += f\" eps={best_low_noise['eps']:.3f}, min_samples={best_low_noise['min_samples']}\\n\"\n", + "text_content += f\" Силуэт: {best_low_noise['silhouette']:.4f}\\n\"\n", + "text_content += f\" Шум: {best_low_noise['noise']} точек\\n\\n\"\n", + "\n", + "# Лучший по силуэту\n", + "best_silhouette = df_by_silhouette.iloc[0]\n", + "text_content += f\"2. МАКСИМАЛЬНЫЙ СИЛУЭТ ({best_silhouette['silhouette']:.4f}):\\n\"\n", + "text_content += f\" eps={best_silhouette['eps']:.3f}, min_samples={best_silhouette['min_samples']}\\n\"\n", + "text_content += f\" Шум: {best_silhouette['noise_%']:.1f}% ({best_silhouette['noise']} точек)\\n\\n\"\n", + "\n", + "# Лучший по композитному score\n", + "best_composite = df_by_composite.iloc[0]\n", + "text_content += f\"3. ЛУЧШИЙ БАЛАНС (композитный score: {best_composite['composite_score']:.4f}):\\n\"\n", + "text_content += f\" eps={best_composite['eps']:.3f}, min_samples={best_composite['min_samples']}\\n\"\n", + "text_content += f\" Силуэт: {best_composite['silhouette']:.4f}, Шум: {best_composite['noise_%']:.1f}%\\n\\n\"\n", + "\n", + "# Ваш результат\n", + "text_content += f\"4. ВАШ РЕЗУЛЬТАТ:\\n\"\n", + "text_content += f\" eps={your_result['eps']:.3f}, min_samples={your_result['min_samples']}\\n\"\n", + "text_content += f\" Силуэт: {your_result['silhouette']:.4f}, Шум: {your_result['noise_%']:.1f}%\\n\"\n", + "text_content += f\" Композитный score: {your_composite:.4f}\\n\\n\"\n", + "\n", + "# Рекомендация\n", + "text_content += f\"РЕКОМЕНДАЦИЯ:\\n\"\n", + "if best_composite['composite_score'] > your_composite:\n", + " text_content += f\"Лучше использовать eps={best_composite['eps']:.3f}, min_samples={best_composite['min_samples']}\\n\"\n", + " text_content += f\"Он имеет лучшее сочетание качества и охвата данных.\"\n", + "else:\n", + " text_content += f\"Ваш результат уже оптимален!\\n\"\n", + " text_content += f\"Хороший баланс между качеством и количеством шума.\"\n", + "\n", + "print(text_content)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 196, + "id": "64613764", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "ВЫВОДЫ И РЕКОМЕНДАЦИИ ДЛЯ ЛАБОРАТОРНОЙ РАБОТЫ:\n", + "================================================================================\n", + "\n", + "1. ПОЛУЧЕНИЕ 6 КЛАСТЕРОВ С ПОМОЩЬЮ DBSCAN:\n", + " - Возможно при определенных комбинациях eps и min_samples\n", + " - Требует баланса между качеством и количеством шума\n", + "\n", + "2. ВАРИАНТЫ ВЫБОРА ПАРАМЕТРОВ:\n", + "\n", + " А) Минимальный шум (1.8%):\n", + " eps=0.120, min_samples=3\n", + " Плюсы: почти все точки классифицированы\n", + " Минусы: невысокое качество (силуэт 0.6776)\n", + "\n", + " Б) Максимальное качество (силуэт 0.7570):\n", + " eps=0.090, min_samples=17\n", + " Плюсы: отличное качество кластеризации\n", + " Минусы: 30.5% точек становятся шумом\n", + "\n", + " В) Оптимальный баланс (композитный score):\n", + " Нужно выбрать параметры с наилучшим сочетанием\n", + " качества и охвата данных\n", + "\n", + "3. ВАШ РЕЗУЛЬТАТ (eps=0.08, min_samples=12):\n", + " - Хороший баланс: 26.6% шума, силуэт 0.7534\n", + " - Качество близко к максимальному\n", + " - Шум существенно меньше, чем у варианта с максимальным силуэтом\n", + "\n", + "4. РЕКОМЕНДАЦИЯ ДЛЯ ОТЧЁТА:\n", + " Можно выбрать один из подходов:\n", + "\n", + " Вариант 1 (формальный):\n", + " Использовать DBSCAN с eps=0.090, min_samples=17\n", + " как дающий максимальный силуэтный коэффициент (0.7570)\n", + " с оговоркой о 30.5% шума.\n", + "\n", + " Вариант 2 (практический):\n", + " Использовать DBSCAN с eps=0.080, min_samples=12\n", + " как обеспечивающий хороший баланс между качеством\n", + " (силуэт 0.7534) и охватом данных (26.6% шума).\n", + "\n", + " Вариант 3 (консервативный):\n", + " Использовать DBSCAN с eps=0.120, min_samples=3\n", + " чтобы минимизировать шум (1.8%) и классифицировать\n", + " почти все точки, несмотря на более низкое качество.\n", + "\n", + "5. СРАВНЕНИЕ С K-MEANS:\n", + " K-Means с 5 кластерами дает силуэт 0.733 без шума.\n", + " DBSCAN с 6 кластерами может дать немного лучшее\n", + " качество, но ценой 26-30% шума. Выбор зависит от\n", + " того, насколько важно иметь именно 6 кластеров\n", + " и готовы ли вы отбросить часть точек как шум.\n", + "\n" + ] + } + ], + "source": [ + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ВЫВОДЫ И РЕКОМЕНДАЦИИ ДЛЯ ЛАБОРАТОРНОЙ РАБОТЫ:\")\n", + "print(\"=\"*80)\n", + "print(\"\"\"\n", + "1. ПОЛУЧЕНИЕ 6 КЛАСТЕРОВ С ПОМОЩЬЮ DBSCAN:\n", + " - Возможно при определенных комбинациях eps и min_samples\n", + " - Требует баланса между качеством и количеством шума\n", + "\n", + "2. ВАРИАНТЫ ВЫБОРА ПАРАМЕТРОВ:\n", + "\n", + " А) Минимальный шум (1.8%):\n", + " eps=0.120, min_samples=3\n", + " Плюсы: почти все точки классифицированы\n", + " Минусы: невысокое качество (силуэт 0.6776)\n", + "\n", + " Б) Максимальное качество (силуэт 0.7570):\n", + " eps=0.090, min_samples=17\n", + " Плюсы: отличное качество кластеризации\n", + " Минусы: 30.5% точек становятся шумом\n", + "\n", + " В) Оптимальный баланс (композитный score):\n", + " Нужно выбрать параметры с наилучшим сочетанием\n", + " качества и охвата данных\n", + "\n", + "3. ВАШ РЕЗУЛЬТАТ (eps=0.08, min_samples=12):\n", + " - Хороший баланс: 26.6% шума, силуэт 0.7534\n", + " - Качество близко к максимальному\n", + " - Шум существенно меньше, чем у варианта с максимальным силуэтом\n", + "\n", + "4. РЕКОМЕНДАЦИЯ ДЛЯ ОТЧЁТА:\n", + " Можно выбрать один из подходов:\n", + " \n", + " Вариант 1 (формальный):\n", + " Использовать DBSCAN с eps=0.090, min_samples=17\n", + " как дающий максимальный силуэтный коэффициент (0.7570)\n", + " с оговоркой о 30.5% шума.\n", + " \n", + " Вариант 2 (практический):\n", + " Использовать DBSCAN с eps=0.080, min_samples=12\n", + " как обеспечивающий хороший баланс между качеством\n", + " (силуэт 0.7534) и охватом данных (26.6% шума).\n", + " \n", + " Вариант 3 (консервативный):\n", + " Использовать DBSCAN с eps=0.120, min_samples=3\n", + " чтобы минимизировать шум (1.8%) и классифицировать\n", + " почти все точки, несмотря на более низкое качество.\n", + "\n", + "5. СРАВНЕНИЕ С K-MEANS:\n", + " K-Means с 5 кластерами дает силуэт 0.733 без шума.\n", + " DBSCAN с 6 кластерами может дать немного лучшее\n", + " качество, но ценой 26-30% шума. Выбор зависит от\n", + " того, насколько важно иметь именно 6 кластеров\n", + " и готовы ли вы отбросить часть точек как шум.\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "id": "e8f91560", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Cluster\n", + "3 333\n", + "1 167\n", + "2 167\n", + "4 167\n", + "0 166\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 197, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['Cluster'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "id": "7949e00c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.7329028767482114" + ] + }, + "execution_count": 198, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "silhouette_score(X_scaled, df['Cluster'])" + ] + }, + { + "cell_type": "code", + "execution_count": 199, + "id": "1f0e4da9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.01 , 0.11473684, 0.21947368, 0.32421053, 0.42894737,\n", + " 0.53368421, 0.63842105, 0.74315789, 0.84789474, 0.95263158,\n", + " 1.05736842, 1.16210526, 1.26684211, 1.37157895, 1.47631579,\n", + " 1.58105263, 1.68578947, 1.79052632, 1.89526316, 2. ])" + ] + }, + "execution_count": 199, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "epsilons = np.linspace(0.01, 2, num=20)\n", + "epsilons" + ] + }, + { + "cell_type": "code", + "execution_count": 200, + "id": "44ab1c6d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 2, 5, 8, 11, 14, 17])" + ] + }, + "execution_count": 200, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "min_samples = np.arange(2, 20, step=3)\n", + "min_samples " + ] + }, + { + "cell_type": "code", + "execution_count": 201, + "id": "22dd1d54", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "120" + ] + }, + "execution_count": 201, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "combinations = list(itertools.product(epsilons, min_samples)) \n", + "len(combinations)" + ] + }, + { + "cell_type": "markdown", + "id": "e84d2499", + "metadata": {}, + "source": [ + "### DBSCAN с подобранными параметрами (6 кластеров)" + ] + }, + { + "cell_type": "code", + "execution_count": 202, + "id": "018787cf", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "ПОЛНЫЙ АНАЛИЗ DBSCAN ДЛЯ ОТЧЁТА\n", + "================================================================================\n", + "\n", + "1. ОБЩАЯ ИНФОРМАЦИЯ О DBSCAN:\n", + " - DBSCAN (Density-Based Spatial Clustering of Applications with Noise)\n", + " - Алгоритм плотностной кластеризации\n", + " - Не требует задания числа кластеров заранее\n", + " - Находит кластеры произвольной формы\n", + " - Устойчив к выбросам (помещает их в шум)\n", + "\n", + "2. ПАРАМЕТРЫ DBSCAN:\n", + " - eps (ε): радиус окрестности для поиска соседей\n", + " - min_samples: минимальное число точек для образования ядра кластера\n", + "\n", + "3. АНАЛИЗ ДАННЫХ С DBSCAN:\n", + "\n", + "\n", + "Результаты кластеризации DBSCAN с разными параметрами:\n", + "------------------------------------------------------------------------------------------\n", + " eps min_samples clusters noise noise_% silhouette db_index labels\n", + " 0.1 17 6 212 21.2% 0.7420 0.3687 [-1, 0, 0, 1, 2, -1, 2, 5, 1, 0, 3, 1, -1, -1, 1, 3, 2, 2, 4, 3, 1, -1, 2, 5, -1, 1, 0, -1, 3, 0, 0, -1, 5, 2, -1, 0, 3, 4, 5, 1, 5, -1, 0, -1, 3, 2, -1, 4, 5, 4, 5, 5, 4, 3, 1, 0, 4, 2, 2, 5, 0, 4, 5, 4, 3, 2, -1, 5, 3, 4, 2, 2, 2, 4, 0, 2, 5, 1, 0, 5, 1, 2, 3, 3, -1, 0, 2, 2, 3, 0, 4, -1, 5, 3, -1, 5, 5, 1, 2, 2, ...]\n", + "\n", + "================================================================================\n", + "ЛУЧШИЙ РЕЗУЛЬТАТ DBSCAN:\n", + "================================================================================\n", + "Параметры: eps=0.1, min_samples=17\n", + "Количество кластеров: 6\n", + "Точки шума: 212 (21.2%)\n", + "Силуэтный коэффициент: 0.7420\n", + "Индекс Дэвиса-Боулдина: 0.3687\n", + "Качество кластеризации: ОТЛИЧНОЕ\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "РЕКОМЕНДАЦИИ ПО ИСПОЛЬЗОВАНИЮ DBSCAN:\n", + "================================================================================\n", + "\n", + "1. ПРЕИМУЩЕСТВА DBSCAN:\n", + " - Не требует задания числа кластеров\n", + " - Находит кластеры произвольной формы\n", + " - Устойчив к выбросам\n", + " - Хорошо работает с данными разной плотности\n", + "\n", + "2. НЕДОСТАТКИ DBSCAN:\n", + " - Чувствителен к параметрам eps и min_samples\n", + " - Плохо работает с кластерами разной плотности\n", + " - Сложность выбора оптимальных параметров\n", + " - Неопределённость с точками шума\n", + "\n", + "3. КОГДА ИСПОЛЬЗОВАТЬ DBSCAN:\n", + " - Когда число кластеров неизвестно заранее\n", + " - Когда ожидаются кластеры не сферической формы\n", + " - Когда данные содержат выбросы\n", + " - Когда важна устойчивость к шуму\n", + "\n", + "4. КОГДА НЕ ИСПОЛЬЗОВАТЬ DBSCAN:\n", + " - Когда все кластеры имеют примерно одинаковую плотность\n", + " - Когда нужны чётко определённые границы кластеров\n", + " - Когда важна скорость работы (DBSCAN может быть медленным)\n", + "\n", + "5. ПРАКТИЧЕСКИЕ СОВЕТЫ:\n", + " - Всегда масштабируйте данные перед использованием DBSCAN\n", + " - Начинайте с eps=0.5 и min_samples=2*dim (где dim - размерность данных)\n", + " - Используйте методы визуализации для подбора параметров\n", + " - Рассмотрите HDBSCAN как более современную альтернативу\n", + "\n" + ] + } + ], + "source": [ + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ПОЛНЫЙ АНАЛИЗ DBSCAN ДЛЯ ОТЧЁТА\")\n", + "print(\"=\"*80)\n", + "\n", + "print(\"\"\"\n", + "1. ОБЩАЯ ИНФОРМАЦИЯ О DBSCAN:\n", + " - DBSCAN (Density-Based Spatial Clustering of Applications with Noise)\n", + " - Алгоритм плотностной кластеризации\n", + " - Не требует задания числа кластеров заранее\n", + " - Находит кластеры произвольной формы\n", + " - Устойчив к выбросам (помещает их в шум)\n", + "\n", + "2. ПАРАМЕТРЫ DBSCAN:\n", + " - eps (ε): радиус окрестности для поиска соседей\n", + " - min_samples: минимальное число точек для образования ядра кластера\n", + "\n", + "3. АНАЛИЗ ДАННЫХ С DBSCAN:\n", + "\"\"\")\n", + "\n", + "# Анализ разных параметров\n", + "results = []\n", + "\n", + "# Пробуем разумные параметры для стандартизованных данных\n", + "param_combinations = [\n", + " (0.1, 17), # Выбранный мной среди лучших подобранных \n", + " # (0.08, 12), # Мой личный рандомный подбор!\n", + " # (0.3, 10), \n", + " # (0.3, 15), \n", + " # (0.3, 20), # Результат автоматического подбора (код выше)\n", + " # (0.25, 10), # Аналогичный (0.3, 20)\n", + " # (0.2, 8),\n", + " # (0.15, 5),\n", + "]\n", + "\n", + "for eps, min_samples in param_combinations:\n", + " dbscan = DBSCAN(eps=eps, min_samples=min_samples)\n", + " labels = dbscan.fit_predict(X_scaled)\n", + " \n", + " n_clusters = len(set(labels)) - (1 if -1 in labels else 0)\n", + " n_noise = sum(labels == -1)\n", + " noise_percent = n_noise / len(labels) * 100\n", + " \n", + " # Оценка качества (исключая шум)\n", + " mask = labels != -1\n", + " if n_clusters > 1 and sum(mask) > 10:\n", + " try:\n", + " sil_score = silhouette_score(X_scaled[mask], labels[mask])\n", + " db_score = davies_bouldin_score(X_scaled[mask], labels[mask])\n", + " except:\n", + " sil_score = None\n", + " db_score = None\n", + " else:\n", + " sil_score = None\n", + " db_score = None\n", + " \n", + " results.append({\n", + " 'eps': eps,\n", + " 'min_samples': min_samples,\n", + " 'clusters': n_clusters,\n", + " 'noise': n_noise,\n", + " 'noise_%': f\"{noise_percent:.1f}%\",\n", + " 'silhouette': f\"{sil_score:.4f}\" if sil_score is not None else \"N/A\",\n", + " 'db_index': f\"{db_score:.4f}\" if db_score is not None else \"N/A\",\n", + " 'labels': labels.copy()\n", + " })\n", + "\n", + "# Создаем DataFrame для наглядности\n", + "import pandas as pd\n", + "results_df = pd.DataFrame(results)\n", + "print(\"\\nРезультаты кластеризации DBSCAN с разными параметрами:\")\n", + "print(\"-\" * 90)\n", + "print(results_df.to_string(index=False))\n", + "\n", + "# Находим лучший результат по силуэтному коэффициенту\n", + "valid_results = [r for r in results if r['silhouette'] != \"N/A\"]\n", + "if valid_results:\n", + " best_result = max(valid_results, key=lambda x: float(x['silhouette']))\n", + " \n", + " print(\"\\n\" + \"=\"*80)\n", + " print(\"ЛУЧШИЙ РЕЗУЛЬТАТ DBSCAN:\")\n", + " print(\"=\"*80)\n", + " print(f\"Параметры: eps={best_result['eps']}, min_samples={best_result['min_samples']}\")\n", + " print(f\"Количество кластеров: {best_result['clusters']}\")\n", + " print(f\"Точки шума: {best_result['noise']} ({best_result['noise_%']})\")\n", + " print(f\"Силуэтный коэффициент: {best_result['silhouette']}\")\n", + " print(f\"Индекс Дэвиса-Боулдина: {best_result['db_index']}\")\n", + " \n", + " # Интерпретация качества\n", + " sil_val = float(best_result['silhouette'])\n", + " if sil_val > 0.7:\n", + " quality = \"ОТЛИЧНОЕ\"\n", + " elif sil_val > 0.5:\n", + " quality = \"ХОРОШЕЕ\"\n", + " elif sil_val > 0.25:\n", + " quality = \"СРЕДНЕЕ\"\n", + " else:\n", + " quality = \"ПЛОХОЕ\"\n", + " \n", + " print(f\"Качество кластеризации: {quality}\")\n", + "\n", + "# Визуализация лучшего результата\n", + "if valid_results:\n", + " labels_best = best_result['labels']\n", + " \n", + " # Уникальные метки (исключая шум для цветовой карты)\n", + " unique_cluster_labels = sorted([l for l in set(labels_best) if l != -1])\n", + " n_clusters = len(unique_cluster_labels)\n", + " \n", + " # Создаем цветовую карту только для кластеров\n", + " import matplotlib.pyplot as plt\n", + " import numpy as np\n", + " \n", + " if n_clusters > 0:\n", + " # Используем tab20 для лучшего цветового разнообразия\n", + " colors = plt.cm.tab20(np.linspace(0, 1, max(20, n_clusters)))\n", + " else:\n", + " colors = []\n", + " \n", + " fig, axes = plt.subplots(1, 2, figsize=(14, 7))\n", + " \n", + " # Левый график: все точки (кластеры + шум)\n", + " # Сначала отрисовываем шум\n", + " noise_mask = labels_best == -1\n", + " if np.any(noise_mask):\n", + " axes[0].scatter(df.iloc[noise_mask, 0], df.iloc[noise_mask, 1], \n", + " color='black', marker='x', s=20, alpha=0.3, \n", + " label=f'Шум ({np.sum(noise_mask)} точек)', zorder=1)\n", + " \n", + " # Затем отрисовываем кластеры\n", + " for i, label in enumerate(unique_cluster_labels):\n", + " cluster_mask = labels_best == label\n", + " if np.any(cluster_mask):\n", + " axes[0].scatter(df.iloc[cluster_mask, 0], df.iloc[cluster_mask, 1], \n", + " color=colors[i % len(colors)], marker='o', s=30, \n", + " alpha=0.7, label=f'Кластер {label} ({np.sum(cluster_mask)} точек)',\n", + " edgecolors='k', linewidth=0.5, zorder=2)\n", + " \n", + " axes[0].set_title(f'DBSCAN: {best_result[\"clusters\"]} кластеров\\n'\n", + " f'eps={best_result[\"eps\"]}, min_samples={best_result[\"min_samples\"]}\\n'\n", + " f'Шум: {best_result[\"noise\"]} точек ({best_result[\"noise_%\"]})')\n", + " axes[0].set_xlabel('Признак 1')\n", + " axes[0].set_ylabel('Признак 2')\n", + " axes[0].grid(True, alpha=0.3)\n", + " axes[0].legend()\n", + " \n", + " # Правый график: только кластеры (без шума)\n", + " mask_no_noise = labels_best != -1\n", + " if np.sum(mask_no_noise) > 0:\n", + " for i, label in enumerate(unique_cluster_labels):\n", + " cluster_mask = labels_best == label\n", + " if np.any(cluster_mask):\n", + " axes[1].scatter(df.iloc[cluster_mask, 0], df.iloc[cluster_mask, 1], \n", + " color=colors[i % len(colors)], alpha=0.7, s=40, \n", + " label=f'Кластер {label} ({np.sum(cluster_mask)} точек)')\n", + " \n", + " axes[1].set_title(f'Кластеры без шума ({best_result[\"clusters\"]} групп)\\n'\n", + " f'Силуэт: {best_result[\"silhouette\"]}')\n", + " axes[1].set_xlabel('Признак 1')\n", + " axes[1].set_ylabel('Признак 2')\n", + " axes[1].legend()\n", + " axes[1].grid(True, alpha=0.3)\n", + " \n", + " plt.tight_layout()\n", + " plt.show() \n", + "\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"РЕКОМЕНДАЦИИ ПО ИСПОЛЬЗОВАНИЮ DBSCAN:\")\n", + "print(\"=\"*80)\n", + "\n", + "print(\"\"\"\n", + "1. ПРЕИМУЩЕСТВА DBSCAN:\n", + " - Не требует задания числа кластеров\n", + " - Находит кластеры произвольной формы\n", + " - Устойчив к выбросам\n", + " - Хорошо работает с данными разной плотности\n", + "\n", + "2. НЕДОСТАТКИ DBSCAN:\n", + " - Чувствителен к параметрам eps и min_samples\n", + " - Плохо работает с кластерами разной плотности\n", + " - Сложность выбора оптимальных параметров\n", + " - Неопределённость с точками шума\n", + "\n", + "3. КОГДА ИСПОЛЬЗОВАТЬ DBSCAN:\n", + " - Когда число кластеров неизвестно заранее\n", + " - Когда ожидаются кластеры не сферической формы\n", + " - Когда данные содержат выбросы\n", + " - Когда важна устойчивость к шуму\n", + "\n", + "4. КОГДА НЕ ИСПОЛЬЗОВАТЬ DBSCAN:\n", + " - Когда все кластеры имеют примерно одинаковую плотность\n", + " - Когда нужны чётко определённые границы кластеров\n", + " - Когда важна скорость работы (DBSCAN может быть медленным)\n", + "\n", + "5. ПРАКТИЧЕСКИЕ СОВЕТЫ:\n", + " - Всегда масштабируйте данные перед использованием DBSCAN\n", + " - Начинайте с eps=0.5 и min_samples=2*dim (где dim - размерность данных)\n", + " - Используйте методы визуализации для подбора параметров\n", + " - Рассмотрите HDBSCAN как более современную альтернативу\n", + "\"\"\")\n", + "# Правила встречаются разные:\n", + "# Общее правило: значение minPts должно быть не меньше размерности пространства плюс один.\n", + "# Мой подход: dim + step = 3 (17)" + ] + }, + { + "cell_type": "code", + "execution_count": 203, + "id": "10e7aa03", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "СРАВНЕНИЕ DBSCAN С K-MEANS:\n", + "================================================================================\n", + "\n", + "K-MEANS (k=5):\n", + "- Число кластеров: 5 (задано)\n", + "- Силуэтный коэффициент: 0.7329\n", + "- Все точки распределены по кластерам (нет шума)\n", + "- Форма кластеров: сферическая\n", + "- Быстродействие: быстрое\n", + "\n", + "DBSCAN (лучший результат для 6 кластеров):\n", + "- Число кластеров: 6 (определено автоматически)\n", + "- Силуэтный коэффициент: 0.7420\n", + "- Точки шума: 212 (21.2%)\n", + "- Форма кластеров: произвольная\n", + "- Быстродействие: среднее\n", + "\n", + "ВЫВОД:\n", + "DBSCAN обнаружил 6 естественных кластера в данных,\n", + "при этом отметив 212 точек как шум. Качество кластеризации\n", + "составляет 0.7420 по силуэтному коэффициенту, что является\n", + "отличное результатом.\n", + "\n" + ] + } + ], + "source": [ + "# Сравнение с K-Means\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"СРАВНЕНИЕ DBSCAN С K-MEANS:\")\n", + "print(\"=\"*80)\n", + "\n", + "from sklearn.cluster import KMeans\n", + "\n", + "# K-Means с оптимальным k=5\n", + "kmeans = KMeans(n_clusters=5, random_state=42, n_init=10)\n", + "labels_kmeans = kmeans.fit_predict(X_scaled)\n", + "sil_kmeans = silhouette_score(X_scaled, labels_kmeans)\n", + "\n", + "print(f\"\"\"\n", + "K-MEANS (k=5):\n", + "- Число кластеров: 5 (задано)\n", + "- Силуэтный коэффициент: {sil_kmeans:.4f}\n", + "- Все точки распределены по кластерам (нет шума)\n", + "- Форма кластеров: сферическая\n", + "- Быстродействие: быстрое\n", + "\n", + "DBSCAN (лучший результат для {best_result['clusters']} кластеров):\n", + "- Число кластеров: {best_result['clusters']} (определено автоматически)\n", + "- Силуэтный коэффициент: {best_result['silhouette']}\n", + "- Точки шума: {best_result['noise']} ({best_result['noise_%']})\n", + "- Форма кластеров: произвольная\n", + "- Быстродействие: среднее\n", + "\n", + "ВЫВОД:\n", + "DBSCAN обнаружил {best_result['clusters']} естественных кластера в данных,\n", + "при этом отметив {best_result['noise']} точек как шум. Качество кластеризации\n", + "составляет {best_result['silhouette']} по силуэтному коэффициенту, что является\n", + "{quality.lower()} результатом.\n", + "\"\"\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 204, + "id": "c63c49a5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "ИТОГОВЫЙ ВЫВОД ДЛЯ ОТЧЁТА:\n", + "================================================================================\n", + "\n", + "1. МОДЕЛЬ: DBSCAN (Density-Based Spatial Clustering of Applications with Noise)\n", + "\n", + "2. ОПТИМАЛЬНЫЕ ПАРАМЕТРЫ:\n", + " - eps = 0.1\n", + " - min_samples = 17\n", + "\n", + "3. РЕЗУЛЬТАТЫ:\n", + " - Обнаружено кластеров: 6\n", + " - Точки, отнесённые к шуму: 212 (21.2%)\n", + " - Силуэтный коэффициент: 0.7420\n", + " - Индекс Дэвиса-Боулдина: 0.3687\n", + " - Качество кластеризации: ОТЛИЧНОЕ\n", + "\n", + "4. ПРЕИМУЩЕСТВА DBSCAN ДЛЯ ДАННОЙ ЗАДАЧИ:\n", + " - Автоматическое определение числа кластеров\n", + " - Устойчивость к выбросам\n", + " - Возможность обнаружения кластеров произвольной формы\n", + "\n", + "5. НЕДОСТАТКИ:\n", + " - Требует тщательного подбора параметров\n", + " - Часть точек может быть отнесена к шуму\n", + "\n", + "6. РЕКОМЕНДАЦИЯ:\n", + " DBSCAN может быть полезен для предварительного анализа данных,\n", + " когда число кластеров неизвестно. Однако для итоговой модели\n", + " рекомендуется использовать K-Means с подобранным числом кластеров,\n", + " так как он даёт более стабильные и интерпретируемые результаты.\n", + "\n", + "7. ВИЗУАЛИЗАЦИЯ:\n", + " На графиках показаны:\n", + " - Все точки с выделенными кластерами и шумом\n", + " - Только кластеры без шума\n", + " - Центры кластеров (для K-Means) / естественные границы (для DBSCAN) \n", + "\n" + ] + } + ], + "source": [ + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ИТОГОВЫЙ ВЫВОД ДЛЯ ОТЧЁТА:\")\n", + "print(\"=\"*80)\n", + "\n", + "print(f\"\"\"\n", + "1. МОДЕЛЬ: DBSCAN (Density-Based Spatial Clustering of Applications with Noise)\n", + "\n", + "2. ОПТИМАЛЬНЫЕ ПАРАМЕТРЫ:\n", + " - eps = {best_result['eps']}\n", + " - min_samples = {best_result['min_samples']}\n", + "\n", + "3. РЕЗУЛЬТАТЫ:\n", + " - Обнаружено кластеров: {best_result['clusters']}\n", + " - Точки, отнесённые к шуму: {best_result['noise']} ({best_result['noise_%']})\n", + " - Силуэтный коэффициент: {best_result['silhouette']}\n", + " - Индекс Дэвиса-Боулдина: {best_result['db_index']}\n", + " - Качество кластеризации: {quality}\n", + "\n", + "4. ПРЕИМУЩЕСТВА DBSCAN ДЛЯ ДАННОЙ ЗАДАЧИ:\n", + " - Автоматическое определение числа кластеров\n", + " - Устойчивость к выбросам\n", + " - Возможность обнаружения кластеров произвольной формы\n", + "\n", + "5. НЕДОСТАТКИ:\n", + " - Требует тщательного подбора параметров\n", + " - Часть точек может быть отнесена к шуму\n", + "\n", + "6. РЕКОМЕНДАЦИЯ:\n", + " DBSCAN может быть полезен для предварительного анализа данных,\n", + " когда число кластеров неизвестно. Однако для итоговой модели\n", + " рекомендуется использовать K-Means с подобранным числом кластеров,\n", + " так как он даёт более стабильные и интерпретируемые результаты.\n", + "\n", + "7. ВИЗУАЛИЗАЦИЯ:\n", + " На графиках показаны:\n", + " - Все точки с выделенными кластерами и шумом\n", + " - Только кластеры без шума\n", + " - Центры кластеров (для K-Means) / естественные границы (для DBSCAN) \n", + "\"\"\")" + ] + }, + { + "cell_type": "markdown", + "id": "2e84141e", + "metadata": {}, + "source": [ + "### Сравнительный анализ всех алгоритмов" + ] + }, + { + "cell_type": "code", + "execution_count": 205, + "id": "eff6f7e4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "================================================================================\n", + "ДИАГНОСТИКА DBSCAN с параметрами eps=0.1, min_samples=17\n", + "================================================================================\n", + "Уникальные метки: [-1 0 1 2 3 4 5]\n", + "Количество кластеров: 6\n", + "Количество шума: 212 (21.2%)\n", + "Количество точек в каждом кластере:\n", + " Шум: 212 точек\n", + " Кластер 0: 136 точек\n", + " Кластер 1: 129 точек\n", + " Кластер 2: 141 точек\n", + " Кластер 3: 129 точек\n", + " Кластер 4: 122 точек\n", + " Кластер 5: 131 точек\n", + "\n", + "Силуэтный коэффициент (без шума): 0.7420\n", + "\n", + "================================================================================\n", + "СРАВНИТЕЛЬНЫЙ АНАЛИЗ АЛГОРИТМОВ КЛАСТЕРИЗАЦИИ\n", + "================================================================================\n", + "\n", + " Алгоритм Кластеров Силуэт Шум % Определение k\n", + "3 DBSCAN (0.1, 17) 6 0.742034 21.2 Автоматически\n", + "0 K-Means (k=5) 5 0.732903 0.0 Задано\n", + "4 Иерархическая (k=5) 5 0.732903 0.0 Задано\n", + "2 DBSCAN (5 кластеров) 5 0.732903 0.0 Автоматически\n", + "1 K-Means (k=6) 6 0.683934 0.0 Задано\n", + "5 Иерархическая (k=6) 6 0.681488 0.0 Задано\n" + ] + } + ], + "source": [ + "# ДИАГНОСТИКА: Проверим, что действительно происходит с DBSCAN\n", + "print(\"=\"*80)\n", + "print(\"ДИАГНОСТИКА DBSCAN с параметрами eps=0.1, min_samples=17\")\n", + "print(\"=\"*80)\n", + "\n", + "dbscan_test = DBSCAN(eps=0.1, min_samples=17)\n", + "labels_test = dbscan_test.fit_predict(X_scaled)\n", + "\n", + "# Считаем статистику\n", + "unique_labels = np.unique(labels_test)\n", + "n_clusters = len(unique_labels) - (1 if -1 in unique_labels else 0)\n", + "n_noise = sum(labels_test == -1)\n", + "noise_percent = n_noise / len(labels_test) * 100\n", + "\n", + "print(f\"Уникальные метки: {unique_labels}\")\n", + "print(f\"Количество кластеров: {n_clusters}\")\n", + "print(f\"Количество шума: {n_noise} ({noise_percent:.1f}%)\")\n", + "print(f\"Количество точек в каждом кластере:\")\n", + "for label in unique_labels:\n", + " if label == -1:\n", + " print(f\" Шум: {sum(labels_test == label)} точек\")\n", + " else:\n", + " print(f\" Кластер {label}: {sum(labels_test == label)} точек\")\n", + "\n", + "# Расчет силуэта для DBSCAN (без учета шума)\n", + "mask = labels_test != -1\n", + "if sum(mask) > 1 and len(set(labels_test[mask])) > 1:\n", + " sil_dbscan = silhouette_score(X_scaled[mask], labels_test[mask])\n", + " print(f\"\\nСилуэтный коэффициент (без шума): {sil_dbscan:.4f}\")\n", + "else:\n", + " print(\"\\nНе удалось рассчитать силуэт (слишком мало точек или кластеров)\")\n", + "\n", + "# Создадим сравнение с ПРАВИЛЬНЫМ расчетом\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"СРАВНИТЕЛЬНЫЙ АНАЛИЗ АЛГОРИТМОВ КЛАСТЕРИЗАЦИИ\")\n", + "print(\"=\"*80)\n", + "\n", + "# Создадим сравнение разных подходов\n", + "algorithms = []\n", + "\n", + "# 1. K-Means с k=5 (формально оптимальный)\n", + "kmeans_5 = KMeans(n_clusters=5, random_state=42, n_init=10)\n", + "labels_k5 = kmeans_5.fit_predict(X_scaled)\n", + "algorithms.append(('K-Means (k=5)', labels_k5, 5))\n", + "\n", + "# 2. K-Means с k=6 (по визуальной оценке)\n", + "kmeans_6 = KMeans(n_clusters=6, random_state=42, n_init=10)\n", + "labels_k6 = kmeans_6.fit_predict(X_scaled)\n", + "algorithms.append(('K-Means (k=6)', labels_k6, 6))\n", + "\n", + "# 3. DBSCAN с автоматическим определением (если есть)\n", + "if best_labels is not None:\n", + " algorithms.append((f'DBSCAN ({best_params[2]} кластеров)', best_labels, best_params[2]))\n", + "\n", + "# 4. DBSCAN с eps=0.1, min_samples=17 (ваши параметры)\n", + "dbscan_custom = DBSCAN(eps=0.1, min_samples=17)\n", + "labels_dbscan_custom = dbscan_custom.fit_predict(X_scaled)\n", + "algorithms.append(('DBSCAN (0.1, 17)', labels_dbscan_custom, len(set(labels_dbscan_custom)) - (1 if -1 in labels_dbscan_custom else 0)))\n", + "\n", + "# 5. Иерархическая с k=4\n", + "hierarchical_5 = AgglomerativeClustering(n_clusters=5)\n", + "labels_h5 = hierarchical_5.fit_predict(X_scaled)\n", + "algorithms.append(('Иерархическая (k=5)', labels_h5, 5))\n", + "\n", + "# 6. Иерархическая с k=6\n", + "hierarchical_6 = AgglomerativeClustering(n_clusters=6)\n", + "labels_h6 = hierarchical_6.fit_predict(X_scaled)\n", + "algorithms.append(('Иерархическая (k=6)', labels_h6, 6))\n", + "\n", + "# Сравнительная таблица\n", + "results = []\n", + "for name, labels, n_clusters in algorithms:\n", + " # Проверяем DBSCAN без учета регистра\n", + " if any(dbscan_word in name.upper() for dbscan_word in ['DBSCAN', 'DSCAN']):\n", + " mask = labels != -1\n", + " n_noise = sum(labels == -1)\n", + " noise_percent = (n_noise / len(labels)) * 100\n", + " \n", + " if sum(mask) > 1 and len(set(labels[mask])) > 1:\n", + " sil_score = silhouette_score(X_scaled[mask], labels[mask])\n", + " else:\n", + " sil_score = -1 # или None\n", + " \n", + " results.append([name, n_clusters, sil_score, noise_percent, \"Автоматически\"])\n", + " else:\n", + " sil_score = silhouette_score(X_scaled, labels)\n", + " results.append([name, n_clusters, sil_score, 0, \"Задано\"])\n", + "\n", + "# Создаем DataFrame для наглядности\n", + "results_df = pd.DataFrame(results, \n", + " columns=['Алгоритм', 'Кластеров', 'Силуэт', 'Шум %', 'Определение k'])\n", + "print(\"\\n\", results_df.sort_values('Силуэт', ascending=False))" + ] + }, + { + "cell_type": "markdown", + "id": "fe8f5935", + "metadata": {}, + "source": [ + "### Визуальное сравнение разных подходов" + ] + }, + { + "cell_type": "code", + "execution_count": 206, + "id": "abdf2727", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Визуализация для понимания - ТОЧНО как в исходном коде\n", + "fig, axes = plt.subplots(2, 3, figsize=(15, 10))\n", + "axes_flat = axes.flatten()\n", + "\n", + "# Создаем подграфики для ВСЕХ 6 алгоритмов из таблицы\n", + "cases = []\n", + "\n", + "# 1. DBSCAN (0.1, 17) - лучший силуэт, 6 кластеров, 21.2% шума\n", + "cases.append({\n", + " 'eps': 0.1, \n", + " 'min_samples': 17, \n", + " 'title': 'DBSCAN: лучший силуэт\\neps=0.1, min=17', \n", + " 'type': 'dbscan'\n", + "})\n", + "\n", + "# 2. K-Means с 5 кластерами\n", + "cases.append({\n", + " 'n_clusters': 5, \n", + " 'title': 'K-Means: 5 кластеров\\nn_clusters=5', \n", + " 'type': 'kmeans'\n", + "})\n", + "\n", + "# 3. Иерархическая с 5 кластерами\n", + "cases.append({\n", + " 'n_clusters': 5, \n", + " 'title': 'Иерархическая: 5 кластеров\\nn_clusters=5', \n", + " 'type': 'hierarchical'\n", + "})\n", + "\n", + "# 4. DBSCAN с 5 кластерами (eps=0.3, min_samples=20)\n", + "cases.append({\n", + " 'eps': 0.3, \n", + " 'min_samples': 20, \n", + " 'title': 'DBSCAN: 5 кластеров\\neps=0.3, min=20', \n", + " 'type': 'dbscan'\n", + "})\n", + "\n", + "# 5. K-Means с 6 кластерами\n", + "cases.append({\n", + " 'n_clusters': 6, \n", + " 'title': 'K-Means: 6 кластеров\\nn_clusters=6', \n", + " 'type': 'kmeans'\n", + "})\n", + "\n", + "# 6. Иерархическая с 6 кластерами\n", + "cases.append({\n", + " 'n_clusters': 6, \n", + " 'title': 'Иерархическая: 6 кластеров\\nn_clusters=6', \n", + " 'type': 'hierarchical'\n", + "})\n", + "\n", + "for idx, case in enumerate(cases):\n", + " ax = axes_flat[idx]\n", + " \n", + " if case['type'] == 'kmeans':\n", + " kmeans = KMeans(n_clusters=case['n_clusters'], random_state=42, n_init=10)\n", + " labels = kmeans.fit_predict(X_scaled)\n", + " n_clusters = case['n_clusters']\n", + " n_noise = 0\n", + " \n", + " elif case['type'] == 'hierarchical':\n", + " hierarchical = AgglomerativeClustering(n_clusters=case['n_clusters'])\n", + " labels = hierarchical.fit_predict(X_scaled)\n", + " n_clusters = case['n_clusters']\n", + " n_noise = 0\n", + " \n", + " else: # dbscan\n", + " dbscan = DBSCAN(eps=case['eps'], min_samples=case['min_samples'])\n", + " labels = dbscan.fit_predict(X_scaled)\n", + " n_clusters = len(set(labels)) - (1 if -1 in labels else 0)\n", + " n_noise = sum(labels == -1)\n", + "\n", + " # Визуализация - ТОЧНО как в исходном коде\n", + " unique_labels = set(labels)\n", + " colors = [plt.cm.Spectral(each) for each in np.linspace(0, 1, len(unique_labels))]\n", + " \n", + " for k, col in zip(unique_labels, colors):\n", + " if k == -1:\n", + " col = [0.7, 0.7, 0.7, 1] # черный для шума - [0, 0, 0, 1]\n", + " class_member_mask = (labels == k)\n", + " xy = X_scaled[class_member_mask]\n", + " ax.plot(xy[:, 0], xy[:, 1], 'o', markerfacecolor=tuple(col),\n", + " markeredgecolor='k', markersize=8, alpha=0.6)\n", + " \n", + " ax.set_title(f\"{case['title']}\\nКластеров: {n_clusters}, Шум: {n_noise}\")\n", + " ax.set_xlabel('Признак 1 (стандартизован)')\n", + " ax.set_ylabel('Признак 2 (стандартизован)')\n", + " ax.grid(True)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "c77fa5b1", + "metadata": {}, + "source": [ + "### Оценка качества моделей" + ] + }, + { + "cell_type": "code", + "execution_count": 207, + "id": "4fc359ca", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "КОМПЛЕКСНАЯ ОЦЕНКА КАЧЕСТВА ВСЕХ АЛГОРИТМОВ КЛАСТЕРИЗАЦИИ\n", + "================================================================================\n", + "\n", + "РАСЧЕТ МЕТРИК ДЛЯ КАЖДОЙ МОДЕЛИ:\n", + "------------------------------------------------------------------------------------------\n", + "\n", + "DBSCAN (0.1, 17):\n", + " Кластеров: 6, Шум: 212 (21.2%)\n", + " Силуэтный коэффициент: 0.7420\n", + " Индекс Дэвиса-Болдина: 0.3687\n", + " Индекс Калински-Харабаса: 10738.32\n", + " Композитный score: 0.5847\n", + "\n", + "K-Means (k=5):\n", + " Кластеров: 5, Шум: 0 (0.0%)\n", + " Силуэтный коэффициент: 0.7329\n", + " Индекс Дэвиса-Болдина: 0.3550\n", + " Индекс Калински-Харабаса: 6455.32\n", + "\n", + "Иерархическая (k=5):\n", + " Кластеров: 5, Шум: 0 (0.0%)\n", + " Силуэтный коэффициент: 0.7329\n", + " Индекс Дэвиса-Болдина: 0.3550\n", + " Индекс Калински-Харабаса: 6455.32\n", + "\n", + "DBSCAN (5 кластеров):\n", + " Кластеров: 5, Шум: 0 (0.0%)\n", + " Силуэтный коэффициент: 0.7329\n", + " Индекс Дэвиса-Болдина: 0.3550\n", + " Индекс Калински-Харабаса: 6455.32\n", + "\n", + "K-Means (k=6):\n", + " Кластеров: 6, Шум: 0 (0.0%)\n", + " Силуэтный коэффициент: 0.6839\n", + " Индекс Дэвиса-Болдина: 0.4479\n", + " Индекс Калински-Харабаса: 8240.86\n", + "\n", + "Иерархическая (k=6):\n", + " Кластеров: 6, Шум: 0 (0.0%)\n", + " Силуэтный коэффициент: 0.6815\n", + " Индекс Дэвиса-Болдина: 0.4501\n", + " Индекс Калински-Харабаса: 8190.54\n", + "\n", + "================================================================================\n", + "СРАВНИТЕЛЬНАЯ ТАБЛИЦА ВСЕХ МЕТРИК\n", + "================================================================================\n", + "\n", + "Метрики отсортированы по композитному score (комбинация качества и покрытия):\n", + "--------------------------------------------------------------------------------------------------------------\n", + " Алгоритм Кластеров Тип Шум, % Силуэт DB-индекс CH-индекс Композит\n", + " K-Means (k=5) 5 partitional 0.0 0.732903 0.354958 6455.319456 0.732903\n", + " Иерархическая (k=5) 5 hierarchical 0.0 0.732903 0.354958 6455.319456 0.732903\n", + "DBSCAN (5 кластеров) 5 dbscan 0.0 0.732903 0.354958 6455.319456 0.732903\n", + " K-Means (k=6) 6 partitional 0.0 0.683934 0.447889 8240.856544 0.683934\n", + " Иерархическая (k=6) 6 hierarchical 0.0 0.681488 0.450129 8190.541779 0.681488\n", + " DBSCAN (0.1, 17) 6 dbscan 21.2 0.742034 0.368696 10738.323570 0.584723\n", + "\n", + "================================================================================\n", + "ОБЪЯСНЕНИЕ МЕТРИК:\n", + "================================================================================\n", + "\n", + "1. СИЛУЭТНЫЙ КОЭФФИЦИЕНТ (Silhouette Score):\n", + " - Диапазон: от -1 до 1\n", + " - Чем БЛИЖЕ к 1 → тем лучше разделение кластеров\n", + " - Показывает, насколько каждая точка похожа на свой кластер по сравнению с другими\n", + " - Интерпретация:\n", + " * 0.7-1.0: отличное разделение\n", + " * 0.5-0.7: хорошее разделение \n", + " * 0.25-0.5: среднее разделение\n", + " * < 0.25: слабое разделение\n", + "\n", + "2. ИНДЕКС ДЭВИСА-БОЛДИНА (Davies-Bouldin Index):\n", + " - Диапазон: от 0 до ∞\n", + " - Чем БЛИЖЕ к 0 → тем лучше разделение\n", + " - Измеряет среднее сходство каждого кластера с наиболее похожим кластером\n", + " - Меньшие значения = более компактные и лучше разделенные кластеры\n", + "\n", + "3. ИНДЕКС КАЛИНСКИ-ХАРАБАСА (Calinski-Harabasz Index):\n", + " - Диапазон: от 0 до ∞\n", + " - Чем БОЛЬШЕ → тем лучше разделение\n", + " - Отношение дисперсии между кластерами к дисперсии внутри кластеров\n", + " - Высокие значения = плотные и хорошо разделенные кластеры\n", + "\n", + "4. КОМПОЗИТНЫЙ SCORE:\n", + " - Только для алгоритмов с выделением шума (DBSCAN)\n", + " - Формула: Силуэт × (1 - %шума)\n", + " - Учитывает баланс между качеством кластеров и охватом данных\n", + " - Чем БОЛЬШЕ → тем лучше общее качество\n", + "\n", + "\n", + "================================================================================\n", + "ДЕТАЛЬНЫЙ АНАЛИЗ И СРАВНЕНИЕ АЛГОРИТМОВ:\n", + "================================================================================\n", + "\n", + "1. ПО СИЛУЭТНОМУ КОЭФФИЦИЕНТУ (чем выше, тем лучше):\n", + "1. DBSCAN (0.1, 17): 0.7420\n", + "2. K-Means (k=5): 0.7329\n", + "3. Иерархическая (k=5): 0.7329\n", + "4. DBSCAN (5 кластеров): 0.7329\n", + "5. K-Means (k=6): 0.6839\n", + "6. Иерархическая (k=6): 0.6815\n", + "\n", + "2. ПО ИНДЕКСУ ДЭВИСА-БОЛДИНА (чем ниже, тем лучше):\n", + "1. K-Means (k=5): 0.3550\n", + "2. Иерархическая (k=5): 0.3550\n", + "3. DBSCAN (5 кластеров): 0.3550\n", + "4. DBSCAN (0.1, 17): 0.3687\n", + "5. K-Means (k=6): 0.4479\n", + "6. Иерархическая (k=6): 0.4501\n", + "\n", + "3. ПО ИНДЕКСУ КАЛИНСКИ-ХАРАБАСА (чем выше, тем лучше):\n", + "1. DBSCAN (0.1, 17): 10738.32\n", + "2. K-Means (k=6): 8240.86\n", + "3. Иерархическая (k=6): 8190.54\n", + "4. K-Means (k=5): 6455.32\n", + "5. Иерархическая (k=5): 6455.32\n", + "6. DBSCAN (5 кластеров): 6455.32\n", + "\n", + "4. ПО КОМПОЗИТНОМУ SCORE (учитывает качество и охват):\n", + "1. K-Means (k=5): 0.7329\n", + "2. Иерархическая (k=5): 0.7329\n", + "3. DBSCAN (5 кластеров): 0.7329\n", + "4. K-Means (k=6): 0.6839\n", + "5. Иерархическая (k=6): 0.6815\n", + "6. DBSCAN (0.1, 17): 0.5847\n", + "\n", + "================================================================================\n", + "ВЫВОДЫ И РЕКОМЕНДАЦИИ:\n", + "================================================================================\n", + "\n", + "1. ЛУЧШИЙ АЛГОРИТМ ПО СИЛУЭТУ (качество разделения):\n", + " DBSCAN (0.1, 17)\n", + " Силуэт: 0.7420\n", + " Особенность: Выделяет 21.2% шума\n", + "\n", + "2. ЛУЧШИЙ АЛГОРИТМ ПО DB-ИНДЕКСУ (компактность кластеров):\n", + " K-Means (k=5)\n", + " DB-индекс: 0.3550\n", + " Особенность: Наиболее компактные и разделенные кластеры\n", + "\n", + "3. ЛУЧШИЙ АЛГОРИТМ ПО CH-ИНДЕКСУ (соотношение дисперсий):\n", + " DBSCAN (0.1, 17)\n", + " CH-индекс: 10738.32\n", + " Особенность: Лучшее отношение межкластерной дисперсии к внутрикластерной\n", + "\n", + "4. ЛУЧШИЙ АЛГОРИТМ ПО КОМПОЗИТНОМУ SCORE (баланс качества и охвата):\n", + " K-Means (k=5)\n", + " Композитный score: 0.7329\n", + " Особенность: Оптимальный баланс между качеством кластеров и охватом данных\n", + "\n", + "5. ОБЩИЕ ВЫВОДЫ:\n", + " - DBSCAN с параметрами (0.1, 17) показывает наилучшее качество разделения (силуэт 0.7420),\n", + " но ценой выделения 21.2% данных как шум.\n", + " - Все алгоритмы с 5 кластерами показывают схожее качество (силуэт ~0.733).\n", + " - Алгоритмы с 6 кластерами показывают несколько худшие результаты, что подтверждает \n", + " оптимальность 5 кластеров для данных.\n", + " - K-Means и иерархическая кластеризация дают практически идентичные результаты при одинаковом k.\n", + "\n", + "6. РЕКОМЕНДАЦИИ В ЗАВИСИМОСТИ ОТ ЦЕЛИ:\n", + " - Для обнаружения аномалий: DBSCAN (0.1, 17) - лучшее качество, но с шумом\n", + " - Для чистой сегментации: K-Means, иерархическая с k=5 или DBSCAN (0.3, 20) - хорошее качество без потерь\n", + " - Для максимальной интерпретируемости: K-Means с k=5 - стабильные, повторяемые результаты\n", + "\n" + ] + }, + { + "data": { + "image/png": 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u5j2GEfOZq1y5spE/f35zWdzP9fXr140iRYoYBQsWNPOqWEOGDDEkGT/++KNdTLGf38fNu+O6efOmIcl4//33bZbHxrlz584E32u1Wo233nrLcHV1tfmeiu9cbdmypZEqVSrzdXLyt6Qci6ioKCM8PNxm3Y0bN4zMmTMb7du3T3AfHo4n7mSxWIyAgACje/fuNtcOyfleMAzDOHbsmCHJmDNnjrks9jv2YUk935JzHZczZ06jfv36dtvq3LmzXQzx/X8KCgoy8uTJY7fc0RgqAYjH7du3Jdn+Ap0UlSpVUtmyZc3XOXLkUKNGjbR27VrzNtq4v2RFRkbq2rVrypcvn9KmTas//vjDrs4bN27o6tWrOnnypD7//HO5urqqWrVqduWuXr1qMz18q3BoaKiOHTumli1b6tq1a2a5e/fu6eWXX9avv/5qc/usFHObVtw6b9269chjMGDAAJUpU0bNmjWzWf7zzz/r5s2batGihU2drq6uqlix4iNv7fD09DRva4mOjta1a9fk6+urggULxnvcIiIikvRramLWr1+viIgI9ejRw+aWmo4dO8rPz89urDc3Nzd16tTJfO3h4aFOnTrp8uXL2r17d7zb+PHHH7Vz506NGTPmX8UqSe3atdOsWbPM17NmzVKbNm3sbgdatWqVXF1d1a1bN5vlvXr1kmEYWr16tc3y2F9jL126pMWLF2vv3r16+eWX/3W8jxtPXHv27NGpU6fUo0cPpU2b1mZdfLfkxEroPI0VEREhSYmeQ6+88ooCAgI0d+5cc9mBAwe0b98+u/Gi4p7zbm5uatWqlTZt2qRr164lWH9iHvXZvHjxokJDQ9W2bVulT5/eXF6iRAnVqlUr3p6f7du315o1a3Tp0iVJ0pw5c1SpUiUVKFDAppyLi4tatWql5cuX23zPzJ07V5UrVzZ/MX+UHTt2qHnz5mratKnGjh1rs27Xrl26fPmy3nvvPZueM/Xr11ehQoVsPnuRkZE2x6JUqVIqV66cFi5caJbZsGGD6tWrZ/49fX19VaRIEWXMmNGMN/a2y71795p/lw0bNuill15ShgwZJMV8xmO/4+P21Hrttdd0+fJlHThwIN59fZKf87h2796thQsXavTo0Xaf84ULF6pq1apKly6dzfF55ZVXFB0dbXc7c+znPO4Ud/iH5AgODlZ4eLgWLVpkLps/f76ioqIYSw1wQuS9Mch7yXsl5857H2YYhgYMGKCmTZuqYsWK8ZZ58OCB3eclvuGuYstKsuu1HNf169e1ceNGNW/eXHfu3DHrvHbtmoKCgnTs2DGbYa1i63311Vd15coVrVmzxsyrYi1evFglS5aMt6dubD6fnLw7IbH5XcaMGZNU/u7duzb717lzZ0VHR+vHH3+0KRceHq6rV6/q8uXL+vnnn7Vx48ZEz5nE8rekHAtXV1d5eHhIkqxWq65fv66oqCiVK1cu3u+HhLz99tv6+eef9fPPP2vRokVq1KiRJk2apJo1a5rf4cn9XkjKNVSspJxv8XnUddzD1wZXr16Nt3du3P9Pt27d0tWrV1WtWjWdPHkySd///yWGSgDi4efnJ0nxjpOYmPz589stK1CggO7fv68rV64oS5YsCgsL0+jRozVr1ixduHDBZiyj+L4gypQpY857enrqiy++sLu16969e4/8B3Ts2DFJMeNTJuTWrVtKly6d+fpRY1U+bOvWrfrpp5+0YcMGm3F94m6/Zs2a8b439pgnxGq1asKECfryyy916tQpmwaFh//5SzFjA8U3BlpynDlzRpL9cfDw8FCePHnM9bECAgLk4+Njsyy20ev06dN64YUXbNZFR0dr4MCBatWq1WPdCv+wVq1aqW/fvtqxY4cyZcqkzZs3a+rUqdq6davdfgUEBNhdoMXegvbwfo0dO9amYa1OnTrxjgX6uJIbT1wnTpyQJLuxzBKT2HkaK3bMpsTOodgGzClTpuj+/ftKlSqV5s6dKy8vL7tEIqHP54kTJ+I9fx/lUZ/NhM5dKea4rl27Vvfu3bM5X0uVKqVixYrpm2++UZ8+fTR79mwNHDhQ586ds6sjODhYH3/8sZYsWaLg4GAdOXJEu3fvthvbLiEXLlxQ/fr1de/ePV27ds2ukT2x+AsVKmRzTm/btk01atSwKxebjN24cUP37t1TYGDgI+OKLXPu3DllyJBB586dU5UqVZL1vriNGNKT/5zH1b9/f1WtWlUNGjSwG8Pu2LFj2rdvX4Ln3uXLl21eDx06NN5hLjJnzpzsuAoVKqTy5ctr7ty56tChg6SYhv0XXnjBbixFAI5H3huDvJe8V3LuvPdhc+fO1cGDB7VgwQK75wTEmjFjhmbMmGG3PGfOnHbLYm+bT5MmTYLbPH78uAzD0ODBgzV48OB4y1y+fNkm72rXrp1+//13eXl52YxrG+vEiRNq2rRpgtuUkpd3JyT22MY3jnd8unTpojlz5tgtj/usCkmaN2+e5s2bZ74uX7683ZAkcSWWvyXlWEgxHSzGjRunP//806YhPm4HiitXrth8d/j6+tp8T+TPn99mGJrXXntNUswQAmvWrFH9+vWT/b2QlGuoWEk53x6WlOu4devWJalxftu2bRo6dKhCQkJ0//59m3W3bt1KVlxPGw23QDz8/PwUEBCQYO+pf6Nr166aNWuWevTooUqVKilNmjSyWCx688037X75l6TvvvtOmTNn1oMHD7Rx40Z17txZXl5eNoOYe3l56aeffrJ535YtW/Thhx+ar2PrHjt2bILj3jz8Bbt48WKbxPLo0aOJjvfSr18/BQUFqWbNmnaDr8du/9tvv1WWLFns3hs7xlFCRo0apcGDB6t9+/YaMWKE0qdPLxcXF/Xo0SPe43bp0qV4ExJnMmPGDJ0+fVpr1659IvVlzJhRDRs21KxZs5Q5c2ZVqVLliTSStG7dWsHBwbJarTp58qRGjBihBg0aaP369Yn2anVWiZ2nsWJ7ncZ3rsYVHByssWPHaunSpWrRooW+//57NWjQwO4f/c8//2zzetWqVY81hlms5H42k6p9+/b68ssvVaFCBV26dEnNmzfXuHHj7MoVKVJEZcuW1Xfffafg4GB999138vDwUPPmzZO0nePHj6tMmTL6/PPP1bp1a82ZMyfRi+vElCxZ0u74jh492nwA1uOMfxUWFvZY7419X1xP+nMea926dVq/fn2CD/qyWq2qVauW+vbtG+/6h3tSv/3223YXPh07dnzs+IKDg9W9e3edP39e4eHh+v333/XFF188dn0Anh7y3hjkvU8Xee+TFRERocGDB6tDhw52/9PjatSokV3j4AcffGDmunGdPn1a7u7u8Y6hHCv2/Ovdu7eCgoLiLfPw3+GPP/7QsmXL1KVLF7399tvauHFjgvUnJql5d0KOHDkiKek/0vTt29emN29UVJTq1q1rV6527drq06ePpJiHpX388ceqUaOGdu3aZTdu7KPyt6T47rvv1LZtWzVu3Fh9+vRRpkyZzAe0xXZqkWIakOM2rA4dOtTmgYXxqV27tqZMmaIDBw6ofv36yY4tqddQUtLOt4cl5TquYsWK+uijj2yWffHFF1q2bJn5+sSJE3r55ZdVqFAhffbZZ8qePbs8PDzMa7T4vmcdiYZbIAENGjTQtGnTFBISkuQHqcT+uh7X0aNHlSpVKvNXn0WLFqlNmzY2jSEPHjxI8GmlVapUMR9e0KBBAx08eFCjR4+2SWBdXV3tHtrwcH158+aVFJOcJ/UBDy+99JL8/f3N1w/fih7X0qVLFRISkuDtGbHbz5Qp02M9YGLRokWqUaOG3S/GN2/etIlRirk94vjx46pTp06ytxNXbAJ85MgR5cmTx1weERGhU6dO2e3HX3/9ZdeL8ejRo5Jk9wCK+/fva/jw4XrvvfeeaKLdvn17tWrVSmnSpEnwH3POnDm1fv163blzx+bX/j///NNcH1eePHls9jVNmjRq2bKlfv/99yfykKHkxhNX7Hl14MCBJJ1XjzpPYx06dEgZM2Z8ZG/YYsWKqXTp0po7d66yZcums2fPatKkSXblHo4t9qm7cc+r5HjUZzPuufuwP//8U/7+/na9ZKSY3it9+vRR9+7d9frrryd622xwcLB69uypixcv6vvvv1f9+vVtei4lJmvWrFq1apUyZ86sZcuWqVevXqpXr575PRk3/od7Kx05csTmnEiXLp3d8e3Zs6d5bvj7+8vd3V1//fXXI+OKvbUvNoHMmjXrY70v1tP6nBuGof79+6tJkyZ2PZpi5c2bV3fv3k3y9+3DvS4kxXuOJNWbb76pnj176ocfflBYWJjc3d31xhtvPHZ9AJ4u8l7yXvLeGM6c98b15Zdf6vLly49siMuWLZvd3278+PHxNtzu2rVLZcqUsbt9P67Yc8Pd3T3J5/b06dP16quvytXVVQ0aNNCMGTPMO3KkmM9LUn44SmrenZCQkBC5ubmpePHiSSpfpEgRFSlSxHwd+3mP/XzHypo1q82xKFiwoCpXrmw2MMdKav72qGOxaNEi5cmTRz/++KPNjwkP3zk1d+5cm04FSbnuiO2hG3sOJPd74dChQ7JYLElqHE/K+RZXUq/j/P397eJaunSpzeuffvpJ4eHhWr58uXLkyGEuf9QwNo7CGLdAAvr27SsfHx/973//099//223/sSJE5owYYLNsoe/SM6dO6dly5apdu3a5tMvXV1dbW4Tk6RJkyYleSzBsLAwhYeHJ3d3VLZsWeXNm1effvqp7t69a7f+ypUrya4zVuytTy1btkywV0NQUJD8/Pw0atSoeMdVetT24ztuCxcutBtDSZKWLVumsLCwBG9PS6pXXnlFHh4emjhxos22Z8yYoVu3btn9ChkVFaWpU6earyMiIjR16lRlzJjR7vbpCRMm6N69exo0aNC/ivFhderUkY+Pj65fv55g78d69eopOjrarvfb559/LovFEu8vyXHFJgCPcx4+6XjKlCmj3Llza/z48XYXbQ+fL0k5T6WYW0VXrVqV5POndevWWrduncaPH68MGTLYxfvwZ/vcuXP69ttv7S4Qn6SsWbOqVKlSmjNnjs1xOXDggNatW6d69erF+7706dOrUaNG2rdvX6JPhJakFi1ayGKxqHv37jp58mSyxi4tUKCAeQv+pEmTZLVa1b17d3N9uXLllClTJn311Vc259nq1at1+PBh87MX3/fmTz/9pP3795u3e7m7u+uFF17QqlWrzHG37t69q0OHDunKlSs6ffq0pJjzZdmyZcqRI4eZpL700kv69ddfdf36dXN7seP27dixw9zm0qVL5e3trXLlytnE8rQ+5/PmzdO+ffs0evToBMs0b95cISEh8fZsunnzZry3Kj5J/v7+qlu3rr777jvNnTtXderUeWrnO4B/j7w36ch7Y5D3Pp5/G48Uk6uOHDlS77//fpJ6NibFoUOHdOjQITVq1CjRcpkyZVL16tU1depUXbx40W59fOd21apVJcU8q+DNN99Unz59bL5nmjZtqr1792rJkiV27334c/CovDsh169f1/Lly1WhQoUk3cb/8HeUYRjmmLSNGzdO9L0JnTNJyd+Scixiv1/jHpvt27fb9eKtUqWKXnnlFXNKSsNt7N0MscOZJOd7ISoqSosXL07SMU7q+RYrqddxSRXfMbx165bNuNnOhB63QALy5s2r77//Xm+88YYKFy6s4OBgFStWTBEREfrtt9+0cOFCm1//pZhfAYOCgtStWzd5enrqyy+/lCQNHz7cLNOgQQN9++23SpMmjYoUKaKQkBCtX78+wZ59S5culb+/v3nL2JYtW9SjR49k74+Li4umT5+uunXrqmjRomrXrp0CAwN14cIFbdq0SX5+fna3nSXV+fPnzVsLEuLn56cpU6aodevWKlOmjN58801lzJhRZ8+e1cqVK1WlSpVEb6Nt0KCBPvzwQ7Vr106VK1fW/v37NXfuXJt/QPfv39fQoUP15ZdfqnLlyqpdu/Zj7U+sjBkzasCAARo+fLjq1KmjV199VUeOHNGXX36p8uXL2zVUBQQE6OOPP9bp06dVoEABzZ8/X6GhoZo2bZrc3d1tyq5bt04jR458rPFNE+Pq6qrDhw/LMIwEe8s1bNhQNWrU0KBBg3T69GmVLFlS69at07Jly9SjRw+7X5H37dun7777ToZh6MSJE5o4caKyZctm10j1uJIbT1wuLi6aMmWKGjZsqFKlSqldu3bKmjWr/vzzTx08eNCm0Sop5+mCBQs0fPhw3bhxQ/37909S/C1btlTfvn21ZMkSvfvuu3Z/67x586pFixbKkyePTp48qalTpyoqKkoTJ05MUv2Pa+zYsapbt64qVaqkDh06KCwsTJMmTUq0V4okzZ49W5MnT35kI1vGjBlVp04dLVy4UGnTpn2s26mkmFupxo4dq//973966623VK9ePbm7u+vjjz9Wu3btVK1aNbVo0UJ///23JkyYoFy5cun999+XFHNrbP/+/fXqq68qQ4YM2rFjh+bMmaMiRYqYt6xJ0sCBA1W3bl298sorevPNN/XNN9/o7t27Zs+Pd999V+vWrdPWrVttxunt3bu35s+fr+rVq6tjx45avXq1Tp48KSmml0/Hjh0VGhqquXPnqn///nafueR8zjdu3Ghzi25sT7b9+/dr//79Nr1D1q1bp44dOybam6FPnz5avny5GjRooLZt26ps2bK6d++e9u/fr0WLFun06dNPvSE1ODhYr7/+uiRpxIgRT3VbAP4d8t6kI++NQd77eP5N3hvrjz/+kL+/f4LDISXX2rVr1bt3b0kxzwj47rvvzHUXLlzQvXv39N1335nnwOTJk/Xiiy+qePHi6tixo/LkyaO///5bISEhOn/+vPbu3ZvgtiZMmKDChQura9euWrBggaSYnGXRokVq1qyZ2rdvr7Jly5oNrV999ZVKlixpvv9ReXdC+9enTx/dvHlTBQoUsNk/SWaD5+rVqxUZGalKlSqpc+fOun//vipUqKCIiAjNnz9fO3bs0ODBg+3+RidPnjTrvHDhgr744gv5+fnZPaAsqfnbo45FgwYN9OOPP6pJkyaqX7++Tp06pa+++kpFihSJ94eqhPzxxx9m3Hfu3NGGDRu0ePFilStXTrVq1ZKU9O+F9evXa/Dgwdq3b98jv1uTe75JSfveTY7atWvLw8NDDRs2VKdOnXT37l19/fXXypQpU7w/SDicASBRR48eNTp27GjkypXL8PDwMFKnTm1UqVLFmDRpkvHgwQOznCSjc+fOxnfffWfkz5/f8PT0NEqXLm1s2rTJpr4bN24Y7dq1M/z9/Q1fX18jKCjI+PPPP42cOXMabdq0McvNmjXLkGROHh4eRr58+YwhQ4bYbLdNmzaGj4+PXdwLFy40JNltf8+ePcZrr71mZMiQwfD09DRy5sxpNG/e3NiwYYNZZujQoYYk48qVKzbv3blzpyHJmDVrls32JRndu3e3KRsb/6lTp2yWb9q0yQgKCjLSpEljeHl5GXnz5jXatm1r7Nq1K56j/48HDx4YvXr1MrJmzWp4e3sbVapUMUJCQoxq1aoZ1apVMwzDMM6fP29kz57d6NGjh3Hr1i27OiQZQ4cOtYk9vmP3sC+++MIoVKiQ4e7ubmTOnNl49913jRs3btiUqVatmlG0aFFj165dRqVKlQwvLy8jZ86cxhdffGG3/5KMrFmzGvfu3Us0vrgePj/i23ZC4lt/584d4/333zcCAgIMd3d3I3/+/MbYsWMNq9VqF1PsZLFYjCxZshivvfaacfjw4QS3F/e9nTt3tltev359I2fOnI8VT0K2bt1q1KpVy0idOrXh4+NjlChRwpg0aZK5PqnnaZMmTYy6desa27dvt9tGmzZt7OKOVa9ePUOS8dtvv9mt69Gjh5EvXz7Dy8vLSJcundG4cWNj//79Ce5LYttJzmfTMAxj/fr1RpUqVQxvb2/Dz8/PaNiwoXHo0KEk1ZmU9QsWLDAkGW+//XaC+/OwuJ/ZuGrWrGnkyJHDuHPnjrls/vz5RunSpQ1PT08jffr0RqtWrYzz58+b68+fP2+0aNHCCAwMNNzd3Y3AwECjc+fOxtWrV+3qnzFjhhEYGGikSZPGGDNmjHkezp8/38iaNauRPn1648MPP7R734oVK4y8efMaPj4+Rrdu3Yz33nvPkGRs3rzZyJMnj+Hr62t06dLFiIyMNN+TnM957PFNbIr97J86dcqQZHh7exsXLlywqTe+74g7d+4YAwYMMPLly2d4eHgY/v7+RuXKlY1PP/3UiIiIsKlz7NixdvtetGjReP9WhpH4eRorPDzcSJcunZEmTRojLCws0bIAnAN57z/Ie8l7nTHvrVatmiHJ+Pzzz22Wx57HjxNTbJ2PmuI6ceKEERwcbGTJksXMwRo0aGAsWrTILJPQ52LOnDmGJGP58uXmsmvXrhldunQxAgMDDQ8PDyNbtmxGmzZt4s3pEsu745PU/Yubcy1btsyoXLmykTZtWsPLy8soVaqUMWPGDLu6c+bMafN+f39/o3bt2kZISIhZJrn526OOhdVqNUaNGmXkzJnT/O5dsWJFknKzuPHEndzc3IycOXMaXbt2tfu8G8ajvxe6du1qvPTSS8aaNWvs3vvwuZnc8y0537s5c+Y06tevbxdD586d7c7h5cuXGyVKlDC8vLyMXLlyGR9//LExc+bMeM9ZR7MYxkN9zwE8FovFos6dO/PwledU9erVdfXq1afyYA84vyZNmmj//v12T5lN6ZYtW6bGjRvr119/NW+De1Y0aNBABw4cMIdKSKouXbpo8uTJdrfuPS2xPdwSegCDM4uKilJAQIAaNmwY7xOtATy7yHufb+S9KUv16tVVvXr1BO/IOn36tHLnzv2f5T6Pkty8u3r16sqVK9cjc6mklsO/86ydb86AMW4BAPgXLl68qJUrV6p169aODuU/9/XXXytPnjx68cUXHR0KnNDSpUt15coVBQcHOzoUAACQAjzPeTeeX4xxCwDAYzh16pS2bdum6dOny93dXZ06dXJ0SP+Z2IcrrFy5UhMmTLB5oi2erKQ++diZbN++Xfv27dOIESNUunRpVatWzdEhAQCABNSqVUuFCxdOcL2vr69atWr1H0Zk79/k3bVq1VLGjBmfWDn8O8/C+eZsaLgFAOAx/PLLL2rXrp1y5MihOXPmPLGn+j4LWrRoIV9fX3Xo0EHvvfeeo8NJ0Xr16uXoEJJtypQp+u6771SqVCluNwQAwMkNGjQo0fX+/v52D/T6r/2bvPtR+5fccvh3noXzzdkwxi0AAAAAAAAAOBnGuAUAAAAAAAAAJ0PDLQAAAAAAAAA4Gca4RYpjtVr1119/KXXq1DwwBwCAFMYwDN25c0cBAQFycaEPAlIucloAAFKm5OSzNNwixfnrr7+UPXt2R4cBAACeonPnzilbtmyODgN4ashpAQBI2ZKSz9JwixQnderUkmI+AH5+fg6OBgAcKCJCGjcuZr5XL8nDw7HxAE/A7du3lT17dvP/PZBSkdMCAOAA/8E1VHLyWRpukeLE3krm5+dHkgvg+RYRIXl6xsz7+dFwixSFW8eR0pHTAgDgAP/hNVRS8lkabgEASKlcXaVatf6ZBwAAAAAkzMmuoWi4BQAgpXJ1lapUcXQUAAAAAPBscLJrKB7FCwAAAAAAAABOhh63eG5FR0crMjLS0WEAT5S7u7tcneB2DjgJq1W6eDFmPmtWyYXfawEgpSGnRUrk4eEhF/IWAI7gZNdQNNziuWMYhi5duqSbN286OhTgqUibNq2yZMnCg3sgRUVJX38dMz9wIA8nA4AUhJwWKZmLi4ty584tD3IXAP81J7uGouEWz53YBDdTpkxKlSoVjVtIMQzD0P3793X58mVJUtasWR0cEQAAeFrIaZFSWa1W/fXXX7p48aJy5MjBuQ3guUbDLZ4r0dHRZoKbIUMGR4cDPHHe3t6SpMuXLytTpkwMmwAAQApETouULmPGjPrrr78UFRUld3d3R4cDAA7DoDF4rsSO/5UqVSoHRwI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s+vrkk0909OhRu7aDBg3SvHnzVLt2bbvE8Ny5c/q///s/Pf300+k6v99++00HDx7Ur7/+Kjc3Nw0cODBZmz179qht27YqVqyYfHx81KRJE0lKlixfvXrVLCLez7Jly3Ts2LEUjyVJDRo0sBuHe48TERGhokWLmoXGlCQkJKh169aKiorSs88+m+raxDdu3NCIESM0ceJEu3XA5s+fb3f8sLAwu9fNnDlT2bJlU1RUVLIbayQmJmrs2LGqUqWKcufOLW9vb61bty7ZWNWrV88urvr16ysmJsb8YJCWMa9WrZrdeNerV0+urq6Kjo6WJP3xxx/q2bOnypQpoxw5csjX11dxcXFmHw8ay7SeCwAAQEp+/vln2Ww2RURE6MiRI5o4caLd/oMHD8rPz89uia6KFSsqZ86cOnjwoF3bt956y7wJ64wZMx7q/gIHDx6U1WpV3bp1zW158uRRuXLl7I4XFhYmb29v5cyZUzdv3tSkSZOS9fV///d/+vzzz1PclxZDhgyxyzfnz5+frM2///1veXt7K0+ePKpbt67+97//3bdPwzA0cOBAffTRRw9cQ/idd95RaGioqlevrsGDB2v79u3mvoiICAUEBNh91rjXwYMH1bBhQ7ttDRs2TPZvllQUThIZGamPP/7Y7ryTrki8cePGfeMFsjIKtwDwkJYuXaq9e/dqzJgxqbbx8fFRRESE+Vi9enWyNgkJCTp16pRKliyZYh9JMz2/+eYbu77279+vnTt32rU9ePCg1qxZo9DQUK1bt87c7uXl9TCnqFy5cmnTpk2qXLmy5syZo5kzZ2rNmjXm/uvXryswMFC+vr6aP3++wsPDtXTpUknSnTt3zHZXr17V9evXVbhw4fseLz4+XoMHD9a4ceNSjXnhwoV243Bvn2k5z+vXr8vLy0vTp09X//79dfbs2RTbffrppypXrpzatm1rt/3555+3O/69SefChQu1cuVKbd++XT4+Pnr//feT9fnVV19pyJAh2rRpkyIiIhQYGGg3VmmJ/0FjnitXrlRfn1QQ7tq1qyIiIvTVV19p+/btioiIUJ48ecw+HjSWj+JcAADAk6tUqVLauHGjKlasqH//+98aPXq09u3b91B9tWrVSidPntSSJUt0/PhxtW7d+hFH+5datWpp7969Wr9+vS5cuKBvvvkmWZvhw4fr5ZdfVrVq1R7qGIMGDbLLN59//vlkbYKCghQREaGff/5ZjRs31ksvvaTTp0+n2ufcuXN1/fp1vf322w88ftJ4vv/+++bkj6QrrR72c8Xf/X1CR1xcnMaMGWN33lFRUYqJiXng0g5AVkbhFgAeQmJiooYPH66+ffsmW4/2Xi4uLvL39zcfxYsXT9bml19+0a1bt9S4ceMU+yhQoIAKFy6sY8eO2fXl7++frNg7b948tWzZUmPHjlXPnj119epVSXcLyCVKlNDGjRvTdZ7FihVT6dKlJd2dsTlo0CC9+eabunTpkqS7M3IvXLig4OBgNW7cWOXLl0/xxmTh4eGyWCz3vQmCdHcdXm9vb3Xu3DnVNn5+fnZjcO9s2KpVq+r333/X4cOHU319tmzZtGLFCr311ltq2LChevXqlazNmTNnNGnSpBRnSfj4+NgdPyl5/eOPP9S7d2998sknqlatmkJCQjR37ly7Qve2bdvUrl07vf7666pWrZpKlSqVYqz33txBkrkGraura5rGvHz58oqMjNT169ft+khMTDRnh2/btk3vvfeeWrdubd6w7s8//0zzWKb1XAAAAFJSpUoVc93Ul19+WS+++KK6dOlifglcoUIFnTp1SqdOnTJfEx0drcuXL6tixYp2fbm6uuqNN95Qt27d1L179xTvb/AgFSpUUEJCgl0eduHCBR06dMjueEk362rRooXeeuutZLNhIyIi9P3336d6D4W0yJs3r12+6ePjk6xNjhw55O/vr0qVKmnMmDG6c+dOslmtSW7cuKHhw4frX//6l9zc3NIUQ758+dS1a1f997//1ZdffmnOaK5ataoiIiJ08eLFFF9XoUIFbdu2zW7btm3bkv2b/V2NGjV06NChZJ93/P395eJC6QpPLt79APAQfvzxR505c0bDhg37R/2cPXtWI0eOVMOGDeXh4aGzZ8/q7NmzSkxM1LVr13Tz5k1J0pgxYzRhwgRNnjxZhw8fVlRUlGbPnq3PP//crr+kS5bef/99+fn5acCAAea+0aNHa9KkSZo8ebJiYmL066+/3nd915SMGTNGefLkUZ8+fSTdLey6u7trypQpOnbsmFasWKGxY8favWbTpk3q3bu3Wrdurfz589+3/4kTJ2rSpEmpLl/wIE2aNNFTTz2lDh06aMOGDTp+/LjWrFmjtWvXmm3c3NzMtXdnzJihsLAw/fe//7XrZ+rUqXrhhRcUEBCQ5mO/9dZbqlChgnmH3zp16mjQoEF66623zCUTypQpow0bNmj79u06ePCgevXqZXdn5CSxsbEaMGCADh06pAULFmjKlCnm2sRpGfNOnTrJzc1NXbp0UVRUlMLCwtSzZ0+9+OKL5hpkZcqU0bx583Tw4EH98ssvCgoKsptB8aCxTOu5AAAApMXUqVN17tw582q2Fi1aqEqVKgoKCtKvv/6qXbt2qUuXLmrSpEmyy+wlqVevXvrwww/TNKM0JWXKlFG7du3Us2dPbd26VZGRkXr99ddVpEgRtWvXTpIUGhqq8PBwxcbGauPGjfrPf/6TLF/87LPPNGDAgAdeafZPJSYm6tatW7py5YqmT58uNzc3lStXLsW23333nUqXLq327dunqe9Ro0Zp+fLlOnLkiA4cOKCVK1eaX/537NhRBQsWVPv27bVt2zYdO3ZMP/zwg3bs2CHp7mzhkJAQTZs2TTExMfr888+1ZMmSB958bdSoUZo7d67GjBmjAwcO6ODBgwoNDdWIESPSPihAFkThFgAewq1btzRkyJD7XpKeFq+99po2bdqkbdu2qVChQubj999/16hRo7Rw4UJJ0ptvvqlvv/1Ws2fPVpUqVdSkSROFhISkuryCi4uLZs+ere+++07r16+XdPfS+C+//FL//ve/ValSJT333HOKiYlJV7zu7u6aO3euFi9erO+//1758uVTSEiIFi9erIoVKyo4OFifffaZ3Wt69Oihxo0bJyuOpqRZs2Z2Ny14GD/88INq166tjh07qmLFiho8eHCqN40oVKiQvvrqK/Xr189uyQSbzZauO9jOnTtXP/74o2bPnm03I2DMmDHKmTOnuWTCiBEjVKNGDQUGBqpp06Zm0vt3Xbp00c2bN1WnTh317t1b/fr101tvvSVJaRpzHx8frVmzRhcuXFDt2rXVrl071atXT7NmzTLbzJw5U5cuXVKNGjXUuXNnvffee8kK6/cby7SeCwAAQFrkzp1b33zzjf71r3/pl19+kcVi0fLly5UrVy499dRTatGihUqVKmXmx39XsGBBDR069B8VTGfPnq2aNWvqueeeU/369WUYhlavXm3OUj148KA6dOigMmXKqEuXLmrYsGGyiRA+Pj4aPHjwQ8eQVl9//bW8vLyUP39+zZo1y7yRWkpu3LiRrvV23d3dNWzYMFWtWlVPPfWUXF1dFRoaau5bv3698ufPr9atW6tKlSoKDg42Zzm3b99eX331lT777DNVqlRJ06dP1+zZs9W0adP7HjMwMFArV67U+vXrVbt2bdWrV09ffPFFilcsAk8Si2EYhqODAIAnVdOmTTV69OgUE5n+/furevXq6tatW6bHBcdp2rSpqlevri+//NLRoQAAAAAAHIgZtwDgQLlz55a7u3uK+3x9fR/Z4v8AAAAAAODxYn1wEwBARlmyZEmq+z7++ONMjAQAAAAAADgTlkoAAAAAAAAAACfDUgkAAAAAAAAA4GQo3AIAAAAAAACAk6FwCwAAAAAAAABOhsItAAAAAAAAADgZCrcAAAAAAAAA4GQo3AIAAAAAAACAk6FwCwAAAAAAAABOhsItAAAAAAAAADgZCrcAAAAAAAAA4GT+HxFXYBpdS68HAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "ЗАКЛЮЧЕНИЕ ДЛЯ ЛАБОРАТОРНОЙ РАБОТЫ:\n", + "================================================================================\n", + "\n", + "1. Качество моделей кластеризации проверено с использованием ТРЁХ независимых метрик:\n", + " - Силуэтный коэффициент (внутренняя согласованность)\n", + " - Индекс Дэвиса-Болдина (компактность кластеров) \n", + " - Индекс Калински-Харабаса (отношение дисперсий)\n", + "\n", + "2. Для алгоритмов, выделяющих шум (DBSCAN), дополнительно рассчитан композитный score,\n", + " учитывающий баланс между качеством кластеров и охватом данных.\n", + "\n", + "3. Все алгоритмы протестированы на одних и тех же данных, что обеспечивает корректность сравнения.\n", + "\n", + "4. Наилучшие результаты показали:\n", + " - По качеству разделения: DBSCAN с eps=0.1, min_samples=17\n", + " - По чистоте кластеров: DBSCAN с eps=0.3, min_samples=20\n", + " - По сбалансированности: K-Means и иерархическая кластеризация с k=5\n", + "\n" + ] + } + ], + "source": [ + "print(\"\\n\" + \"=\"*80)\n", + "print(\"КОМПЛЕКСНАЯ ОЦЕНКА КАЧЕСТВА ВСЕХ АЛГОРИТМОВ КЛАСТЕРИЗАЦИИ\")\n", + "print(\"=\"*80)\n", + "\n", + "# Импорт всех необходимых метрик\n", + "from sklearn.metrics import silhouette_score, davies_bouldin_score, calinski_harabasz_score\n", + "\n", + "# Определяем все модели для оценки\n", + "models = [\n", + " {\n", + " 'name': 'DBSCAN (0.1, 17)',\n", + " 'model': DBSCAN(eps=0.1, min_samples=17),\n", + " 'type': 'dbscan'\n", + " },\n", + " {\n", + " 'name': 'K-Means (k=5)',\n", + " 'model': KMeans(n_clusters=5, random_state=42, n_init=10),\n", + " 'type': 'partitional'\n", + " },\n", + " {\n", + " 'name': 'Иерархическая (k=5)',\n", + " 'model': AgglomerativeClustering(n_clusters=5),\n", + " 'type': 'hierarchical'\n", + " },\n", + " {\n", + " 'name': 'DBSCAN (5 кластеров)',\n", + " 'model': DBSCAN(eps=0.3, min_samples=20),\n", + " 'type': 'dbscan'\n", + " },\n", + " {\n", + " 'name': 'K-Means (k=6)',\n", + " 'model': KMeans(n_clusters=6, random_state=42, n_init=10),\n", + " 'type': 'partitional'\n", + " },\n", + " {\n", + " 'name': 'Иерархическая (k=6)',\n", + " 'model': AgglomerativeClustering(n_clusters=6),\n", + " 'type': 'hierarchical'\n", + " }\n", + "]\n", + "\n", + "# Функция для расчета всех метрик\n", + "def calculate_metrics(labels, X, is_dbscan=False):\n", + " \"\"\"Рассчитывает все метрики качества кластеризации\"\"\"\n", + " metrics = {}\n", + " \n", + " if is_dbscan:\n", + " # Для DBSCAN исключаем шум из расчета основных метрик\n", + " mask = labels != -1\n", + " if sum(mask) > 1 and len(set(labels[mask])) > 1:\n", + " metrics['Силуэтный коэффициент'] = silhouette_score(X[mask], labels[mask])\n", + " metrics['Индекс Дэвиса-Болдина'] = davies_bouldin_score(X[mask], labels[mask])\n", + " metrics['Индекс Калински-Харабаса'] = calinski_harabasz_score(X[mask], labels[mask])\n", + " else:\n", + " metrics['Силуэтный коэффициент'] = 0\n", + " metrics['Индекс Дэвиса-Болдина'] = float('inf')\n", + " metrics['Индекс Калински-Харабаса'] = 0\n", + " else:\n", + " # Для других алгоритмов используем все точки\n", + " if len(set(labels)) > 1:\n", + " metrics['Силуэтный коэффициент'] = silhouette_score(X, labels)\n", + " metrics['Индекс Дэвиса-Болдина'] = davies_bouldin_score(X, labels)\n", + " metrics['Индекс Калински-Харабаса'] = calinski_harabasz_score(X, labels)\n", + " else:\n", + " metrics['Силуэтный коэффициент'] = 0\n", + " metrics['Индекс Дэвиса-Болдина'] = float('inf')\n", + " metrics['Индекс Калински-Харабаса'] = 0\n", + " \n", + " return metrics\n", + "\n", + "# Собираем результаты для всех моделей\n", + "results = []\n", + "\n", + "print(\"\\nРАСЧЕТ МЕТРИК ДЛЯ КАЖДОЙ МОДЕЛИ:\")\n", + "print(\"-\" * 90)\n", + "\n", + "for model_info in models:\n", + " model = model_info['model']\n", + " name = model_info['name']\n", + " model_type = model_info['type']\n", + " \n", + " # Получаем метки кластеризации\n", + " labels = model.fit_predict(X_scaled)\n", + " \n", + " # Определяем количество кластеров и шум\n", + " if model_type == 'dbscan':\n", + " n_clusters = len(set(labels)) - (1 if -1 in labels else 0)\n", + " n_noise = sum(labels == -1)\n", + " noise_percent = n_noise / len(labels) * 100\n", + " else:\n", + " n_clusters = len(set(labels))\n", + " n_noise = 0\n", + " noise_percent = 0\n", + " \n", + " # Рассчитываем метрики\n", + " metrics = calculate_metrics(labels, X_scaled, is_dbscan=(model_type == 'dbscan'))\n", + " \n", + " # Композитный score (только для DBSCAN с шумом)\n", + " if model_type == 'dbscan' and n_noise > 0:\n", + " composite_score = metrics['Силуэтный коэффициент'] * (1 - noise_percent/100)\n", + " else:\n", + " composite_score = metrics['Силуэтный коэффициент']\n", + " \n", + " # Сохраняем результаты\n", + " result = {\n", + " 'Алгоритм': name,\n", + " 'Кластеров': n_clusters,\n", + " 'Тип': model_type,\n", + " 'Шум, %': noise_percent,\n", + " 'Силуэт': metrics['Силуэтный коэффициент'],\n", + " 'DB-индекс': metrics['Индекс Дэвиса-Болдина'],\n", + " 'CH-индекс': metrics['Индекс Калински-Харабаса'],\n", + " 'Композит': composite_score\n", + " }\n", + " results.append(result)\n", + " \n", + " # Выводим промежуточные результаты\n", + " print(f\"\\n{name}:\")\n", + " print(f\" Кластеров: {n_clusters}, Шум: {n_noise} ({noise_percent:.1f}%)\")\n", + " print(f\" Силуэтный коэффициент: {metrics['Силуэтный коэффициент']:.4f}\")\n", + " print(f\" Индекс Дэвиса-Болдина: {metrics['Индекс Дэвиса-Болдина']:.4f}\")\n", + " print(f\" Индекс Калински-Харабаса: {metrics['Индекс Калински-Харабаса']:.2f}\")\n", + " if model_type == 'dbscan' and n_noise > 0:\n", + " print(f\" Композитный score: {composite_score:.4f}\")\n", + "\n", + "# Создаем DataFrame для анализа\n", + "results_df = pd.DataFrame(results)\n", + "results_df = results_df.sort_values('Композит', ascending=False)\n", + "\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"СРАВНИТЕЛЬНАЯ ТАБЛИЦА ВСЕХ МЕТРИК\")\n", + "print(\"=\"*80)\n", + "print(\"\\nМетрики отсортированы по композитному score (комбинация качества и покрытия):\")\n", + "print(\"-\" * 110)\n", + "print(results_df.to_string(index=False))\n", + "\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ОБЪЯСНЕНИЕ МЕТРИК:\")\n", + "print(\"=\"*80)\n", + "print(\"\"\"\n", + "1. СИЛУЭТНЫЙ КОЭФФИЦИЕНТ (Silhouette Score):\n", + " - Диапазон: от -1 до 1\n", + " - Чем БЛИЖЕ к 1 → тем лучше разделение кластеров\n", + " - Показывает, насколько каждая точка похожа на свой кластер по сравнению с другими\n", + " - Интерпретация:\n", + " * 0.7-1.0: отличное разделение\n", + " * 0.5-0.7: хорошее разделение \n", + " * 0.25-0.5: среднее разделение\n", + " * < 0.25: слабое разделение\n", + "\n", + "2. ИНДЕКС ДЭВИСА-БОЛДИНА (Davies-Bouldin Index):\n", + " - Диапазон: от 0 до ∞\n", + " - Чем БЛИЖЕ к 0 → тем лучше разделение\n", + " - Измеряет среднее сходство каждого кластера с наиболее похожим кластером\n", + " - Меньшие значения = более компактные и лучше разделенные кластеры\n", + "\n", + "3. ИНДЕКС КАЛИНСКИ-ХАРАБАСА (Calinski-Harabasz Index):\n", + " - Диапазон: от 0 до ∞\n", + " - Чем БОЛЬШЕ → тем лучше разделение\n", + " - Отношение дисперсии между кластерами к дисперсии внутри кластеров\n", + " - Высокие значения = плотные и хорошо разделенные кластеры\n", + "\n", + "4. КОМПОЗИТНЫЙ SCORE:\n", + " - Только для алгоритмов с выделением шума (DBSCAN)\n", + " - Формула: Силуэт × (1 - %шума)\n", + " - Учитывает баланс между качеством кластеров и охватом данных\n", + " - Чем БОЛЬШЕ → тем лучше общее качество\n", + "\"\"\")\n", + "\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ДЕТАЛЬНЫЙ АНАЛИЗ И СРАВНЕНИЕ АЛГОРИТМОВ:\")\n", + "print(\"=\"*80)\n", + "\n", + "# Анализ по каждой метрике\n", + "print(\"\\n1. ПО СИЛУЭТНОМУ КОЭФФИЦИЕНТУ (чем выше, тем лучше):\")\n", + "sil_sorted = results_df.sort_values('Силуэт', ascending=False)\n", + "for i, (_, row) in enumerate(sil_sorted.iterrows()):\n", + " print(f\"{i+1}. {row['Алгоритм']}: {row['Силуэт']:.4f}\")\n", + "\n", + "print(\"\\n2. ПО ИНДЕКСУ ДЭВИСА-БОЛДИНА (чем ниже, тем лучше):\")\n", + "db_sorted = results_df.sort_values('DB-индекс', ascending=True)\n", + "for i, (_, row) in enumerate(db_sorted.iterrows()):\n", + " print(f\"{i+1}. {row['Алгоритм']}: {row['DB-индекс']:.4f}\")\n", + "\n", + "print(\"\\n3. ПО ИНДЕКСУ КАЛИНСКИ-ХАРАБАСА (чем выше, тем лучше):\")\n", + "ch_sorted = results_df.sort_values('CH-индекс', ascending=False)\n", + "for i, (_, row) in enumerate(ch_sorted.iterrows()):\n", + " print(f\"{i+1}. {row['Алгоритм']}: {row['CH-индекс']:.2f}\")\n", + "\n", + "print(\"\\n4. ПО КОМПОЗИТНОМУ SCORE (учитывает качество и охват):\")\n", + "comp_sorted = results_df.sort_values('Композит', ascending=False)\n", + "for i, (_, row) in enumerate(comp_sorted.iterrows()):\n", + " print(f\"{i+1}. {row['Алгоритм']}: {row['Композит']:.4f}\")\n", + "\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ВЫВОДЫ И РЕКОМЕНДАЦИИ:\")\n", + "print(\"=\"*80)\n", + "\n", + "# Анализ лучших моделей\n", + "best_silhouette = results_df.loc[results_df['Силуэт'].idxmax()]\n", + "best_db = results_df.loc[results_df['DB-индекс'].idxmin()]\n", + "best_ch = results_df.loc[results_df['CH-индекс'].idxmax()]\n", + "best_composite = results_df.loc[results_df['Композит'].idxmax()]\n", + "\n", + "print(f\"\"\"\n", + "1. ЛУЧШИЙ АЛГОРИТМ ПО СИЛУЭТУ (качество разделения):\n", + " {best_silhouette['Алгоритм']}\n", + " Силуэт: {best_silhouette['Силуэт']:.4f}\n", + " Особенность: {'Выделяет 21.2% шума' if best_silhouette['Шум, %'] > 0 else 'Все точки кластеризованы'}\n", + "\n", + "2. ЛУЧШИЙ АЛГОРИТМ ПО DB-ИНДЕКСУ (компактность кластеров):\n", + " {best_db['Алгоритм']}\n", + " DB-индекс: {best_db['DB-индекс']:.4f}\n", + " Особенность: {'Наиболее компактные и разделенные кластеры' if best_db['DB-индекс'] < 0.5 else 'Хорошее разделение'}\n", + "\n", + "3. ЛУЧШИЙ АЛГОРИТМ ПО CH-ИНДЕКСУ (соотношение дисперсий):\n", + " {best_ch['Алгоритм']}\n", + " CH-индекс: {best_ch['CH-индекс']:.2f}\n", + " Особенность: {'Лучшее отношение межкластерной дисперсии к внутрикластерной'}\n", + "\n", + "4. ЛУЧШИЙ АЛГОРИТМ ПО КОМПОЗИТНОМУ SCORE (баланс качества и охвата):\n", + " {best_composite['Алгоритм']}\n", + " Композитный score: {best_composite['Композит']:.4f}\n", + " Особенность: {'Оптимальный баланс между качеством кластеров и охватом данных'}\n", + "\n", + "5. ОБЩИЕ ВЫВОДЫ:\n", + " - DBSCAN с параметрами (0.1, 17) показывает наилучшее качество разделения (силуэт 0.7420),\n", + " но ценой выделения 21.2% данных как шум.\n", + " - Все алгоритмы с 5 кластерами показывают схожее качество (силуэт ~0.733).\n", + " - Алгоритмы с 6 кластерами показывают несколько худшие результаты, что подтверждает \n", + " оптимальность 5 кластеров для данных.\n", + " - K-Means и иерархическая кластеризация дают практически идентичные результаты при одинаковом k.\n", + "\n", + "6. РЕКОМЕНДАЦИИ В ЗАВИСИМОСТИ ОТ ЦЕЛИ:\n", + " - Для обнаружения аномалий: DBSCAN (0.1, 17) - лучшее качество, но с шумом\n", + " - Для чистой сегментации: K-Means, иерархическая с k=5 или DBSCAN (0.3, 20) - хорошее качество без потерь\n", + " - Для максимальной интерпретируемости: K-Means с k=5 - стабильные, повторяемые результаты\n", + "\"\"\")\n", + "\n", + "# Визуализация сравнения метрик\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# 1. График силуэтных коэффициентов\n", + "axes[0, 0].barh(range(len(results_df)), results_df['Силуэт'])\n", + "axes[0, 0].set_yticks(range(len(results_df)))\n", + "axes[0, 0].set_yticklabels(results_df['Алгоритм'])\n", + "axes[0, 0].set_xlabel('Силуэтный коэффициент')\n", + "axes[0, 0].set_title('Сравнение алгоритмов по силуэтному коэффициенту')\n", + "axes[0, 0].axvline(x=0.5, color='r', linestyle='--', alpha=0.5, label='Хорошее качество')\n", + "axes[0, 0].legend()\n", + "\n", + "# 2. График индекса Дэвиса-Болдина\n", + "axes[0, 1].barh(range(len(results_df)), results_df['DB-индекс'])\n", + "axes[0, 1].set_yticks(range(len(results_df)))\n", + "axes[0, 1].set_yticklabels(results_df['Алгоритм'])\n", + "axes[0, 1].set_xlabel('Индекс Дэвиса-Болдина')\n", + "axes[0, 1].set_title('Сравнение алгоритмов по индексу Дэвиса-Болдина')\n", + "axes[0, 1].axvline(x=0.5, color='r', linestyle='--', alpha=0.5, label='Хорошее качество')\n", + "axes[0, 1].legend()\n", + "\n", + "# 3. График индекса Калински-Харабаса\n", + "axes[1, 0].barh(range(len(results_df)), results_df['CH-индекс'])\n", + "axes[1, 0].set_yticks(range(len(results_df)))\n", + "axes[1, 0].set_yticklabels(results_df['Алгоритм'])\n", + "axes[1, 0].set_xlabel('Индекс Калински-Харабаса')\n", + "axes[1, 0].set_title('Сравнение алгоритмов по индексу Калински-Харабаса')\n", + "\n", + "# 4. График композитных scores\n", + "axes[1, 1].barh(range(len(results_df)), results_df['Композит'])\n", + "axes[1, 1].set_yticks(range(len(results_df)))\n", + "axes[1, 1].set_yticklabels(results_df['Алгоритм'])\n", + "axes[1, 1].set_xlabel('Композитный score')\n", + "axes[1, 1].set_title('Сравнение алгоритмов по композитному score')\n", + "axes[1, 1].axvline(x=0.5, color='r', linestyle='--', alpha=0.5, label='Хорошее качество')\n", + "axes[1, 1].legend()\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# ИСПОЛЬЗУЙТЕ: 70% вес силуэту, 30% DB-индексу\n", + "\n", + "def evaluate_for_lab_report(silhouette, db_index, ch_index=None):\n", + " \"\"\"Оценка для лабораторной работы\"\"\"\n", + " \n", + " # Интерпретация силуэта (основная метрика)\n", + " if silhouette >= 0.7:\n", + " quality = \"ОТЛИЧНОЕ\"\n", + " score = 100\n", + " elif silhouette >= 0.5:\n", + " quality = \"ХОРОШЕЕ\" \n", + " score = 80\n", + " elif silhouette >= 0.25:\n", + " quality = \"СРЕДНЕЕ\"\n", + " score = 60\n", + " else:\n", + " quality = \"ПЛОХОЕ\"\n", + " score = 40\n", + " \n", + " # Коррекция по DB-индексу\n", + " if db_index < 0.5:\n", + " score += 10 # бонус за хорошую компактность\n", + " elif db_index > 1.0:\n", + " score -= 10 # штраф за слабое разделение\n", + " \n", + " return quality, min(100, max(0, score))\n", + "\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"ЗАКЛЮЧЕНИЕ ДЛЯ ЛАБОРАТОРНОЙ РАБОТЫ:\")\n", + "print(\"=\"*80)\n", + "print(f\"\"\"\n", + "1. Качество моделей кластеризации проверено с использованием ТРЁХ независимых метрик:\n", + " - Силуэтный коэффициент (внутренняя согласованность)\n", + " - Индекс Дэвиса-Болдина (компактность кластеров) \n", + " - Индекс Калински-Харабаса (отношение дисперсий)\n", + "\n", + "2. Для алгоритмов, выделяющих шум (DBSCAN), дополнительно рассчитан композитный score,\n", + " учитывающий баланс между качеством кластеров и охватом данных.\n", + "\n", + "3. Все алгоритмы протестированы на одних и тех же данных, что обеспечивает корректность сравнения.\n", + "\n", + "4. Наилучшие результаты показали:\n", + " - По качеству разделения: DBSCAN с eps=0.1, min_samples=17\n", + " - По чистоте кластеров: DBSCAN с eps=0.3, min_samples=20\n", + " - По сбалансированности: K-Means и иерархическая кластеризация с k=5\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 208, + "id": "3d11e661", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "5. Рекомендуемая модель зависит от ЦЕЛИ ЗАДАЧИ:\n", + " - Если важны плотные ядра и аномалии: DBSCAN (0.1, 17) ('ОТЛИЧНОЕ', 100)\n", + " - КОГДА ВАЖНЫ ОБНАРУЖЕНИЯ АНОМАЛИЙ:\n", + " - Медицина (редие случаи требуют дополнительного исследования)\n", + " - Финансы (подозрительные операции)\n", + " - Кибербезопасность (обнаружение атак)\n", + " - Контроль качества продукции (бракованные единицы)\n", + " - Астрономия и геология (редкие явления)\n", + " - Если все точки значимы и нужна интерпретация: K-Means (k=5) ('ОТЛИЧНОЕ', 100)\n", + " - КОГДА ВСЕ ДАННЫЕ ЦЕННЫ:\n", + " - Сегментация клиентов (все клиенты важны)\n", + " - Рекомендательные системы\n", + " - Анализ удовлетворенности\n", + " - Маркетинговые кампании\n", + "\n" + ] + } + ], + "source": [ + "print(f\"\"\"\n", + "5. Рекомендуемая модель зависит от ЦЕЛИ ЗАДАЧИ:\n", + " - Если важны плотные ядра и аномалии: DBSCAN (0.1, 17) {evaluate_for_lab_report(0.7420, 0.3687)}\n", + " - КОГДА ВАЖНЫ ОБНАРУЖЕНИЯ АНОМАЛИЙ:\n", + " - Медицина (редие случаи требуют дополнительного исследования)\n", + " - Финансы (подозрительные операции)\n", + " - Кибербезопасность (обнаружение атак)\n", + " - Контроль качества продукции (бракованные единицы)\n", + " - Астрономия и геология (редкие явления)\n", + " - Если все точки значимы и нужна интерпретация: K-Means (k=5) {evaluate_for_lab_report(0.7329, 0.3550)}\n", + " - КОГДА ВСЕ ДАННЫЕ ЦЕННЫ:\n", + " - Сегментация клиентов (все клиенты важны)\n", + " - Рекомендательные системы\n", + " - Анализ удовлетворенности\n", + " - Маркетинговые кампании\n", + "\"\"\")" + ] + }, + { + "cell_type": "markdown", + "id": "aad8066a", + "metadata": {}, + "source": [ + "### Проверка устойчивости модели" + ] + }, + { + "cell_type": "code", + "execution_count": 209, + "id": "78370892", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "5. Это СРЕДНЕЕ качество 0.41 с ХОРОШЕЙ устойчивостью 0.04 \n", + "- Шкала качества (по силуэту):\n", + " - 'Отличное': (0.7, 1.0),\n", + " - 'Хорошее': (0.5, 0.7),\n", + " - 'Среднее': (0.25, 0.5),\n", + " - 'Плохое': (-1.0, 0.25)\n", + "\n", + "- Шкала устойчивости (по стандартному отклонению):\n", + " - 'Отличная': (0.0, 0.02), # Очень стабильная модель\n", + " - 'Хорошая': (0.02, 0.05), # Хорошо воспроизводимые результаты \n", + " - 'Средняя': (0.05, 0.1), # Умеренная вариативность\n", + " - 'Низкая': (0.1, float('inf')) # Нестабильная модель\n", + "\n", + "- Результаты устойчивости для остальных моделей: \n", + " - kmeans_5 (0.73, 0.01), hierarchical_5 (0.73, 0.01), dbscan_5(0.73, 0.02) - ОТЛИЧНОЕ качество\n", + " - kmeans_6 (0.69, 0.01), hierarchical_6 (0.68, 0.01) - ОТЛИЧНАЯ устойчивость\n", + "\n" + ] + } + ], + "source": [ + "# МЕТОДЫ ПРОВЕРКИ УСТОЙЧИВОСТИ (STABILITY ANALYSIS)\n", + "\n", + "# 1. МЕТОД БУТСТРАПА (bootstrap stability)\n", + "def bootstrap_stability(model, X, n_iterations=100):\n", + " \"\"\"Проверка устойчивости кластеризации с помощью bootstrap\"\"\"\n", + " stability_scores = []\n", + " n_samples = len(X)\n", + " \n", + " for i in range(n_iterations):\n", + " # Генерируем bootstrap выборку (с повторениями)\n", + " indices = np.random.choice(n_samples, n_samples, replace=True)\n", + " X_bootstrap = X[indices]\n", + " \n", + " # Кластеризуем bootstrap выборку\n", + " labels_bootstrap = model.fit_predict(X_bootstrap)\n", + " \n", + " # Вычисляем качество\n", + " sil_score = silhouette_score(X_bootstrap, labels_bootstrap)\n", + " stability_scores.append(sil_score)\n", + " \n", + " return np.mean(stability_scores), np.std(stability_scores)\n", + "\n", + "result = bootstrap_stability(dbscan_custom, X_scaled, n_iterations=100) # dbscan_custom, kmeans_5, hierarchical_5\n", + "\n", + "print(f\"\"\"\n", + "5. Это СРЕДНЕЕ качество {result[0]:.2f} с ХОРОШЕЙ устойчивостью {result[1]:.2f} \n", + "- Шкала качества (по силуэту):\n", + " - 'Отличное': (0.7, 1.0),\n", + " - 'Хорошее': (0.5, 0.7),\n", + " - 'Среднее': (0.25, 0.5),\n", + " - 'Плохое': (-1.0, 0.25)\n", + "\n", + "- Шкала устойчивости (по стандартному отклонению):\n", + " - 'Отличная': (0.0, 0.02), # Очень стабильная модель\n", + " - 'Хорошая': (0.02, 0.05), # Хорошо воспроизводимые результаты \n", + " - 'Средняя': (0.05, 0.1), # Умеренная вариативность\n", + " - 'Низкая': (0.1, float('inf')) # Нестабильная модель\n", + "\n", + "- Результаты устойчивости для остальных моделей: \n", + " - kmeans_5 (0.73, 0.01), hierarchical_5 (0.73, 0.01), dbscan_5(0.73, 0.02) - ОТЛИЧНОЕ качество\n", + " - kmeans_6 (0.69, 0.01), hierarchical_6 (0.68, 0.01) - ОТЛИЧНАЯ устойчивость\n", + "\"\"\")" + ] + }, + { + "cell_type": "markdown", + "id": "086c2bbb", + "metadata": {}, + "source": [ + "### Классический Gap Statistic для K-Means" + ] + }, + { + "cell_type": "code", + "execution_count": 210, + "id": "1efd670c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "from scipy.spatial.distance import pdist, squareform\n", + "\n", + "def gap_statistic_kmeans(X, k_max=10, n_references=10, random_state=42):\n", + " \"\"\"Классический Gap Statistic для K-Means\"\"\"\n", + " \n", + " gaps = []\n", + " sks = []\n", + " \n", + " # Диапазон чисел кластеров\n", + " k_range = range(1, k_max + 1)\n", + " \n", + " for k in k_range:\n", + " # 1. Кластеризация на реальных данных\n", + " kmeans = KMeans(n_clusters=k, random_state=random_state, n_init=10)\n", + " labels = kmeans.fit_predict(X)\n", + " \n", + " # Внутрикластерная дисперсия для реальных данных\n", + " if k == 1:\n", + " Wk_real = np.sum((X - np.mean(X, axis=0))**2)\n", + " else:\n", + " Wk_real = 0\n", + " for i in range(k):\n", + " cluster_points = X[labels == i]\n", + " if len(cluster_points) > 0:\n", + " Wk_real += np.sum((cluster_points - kmeans.cluster_centers_[i])**2)\n", + " \n", + " # 2. Генерация эталонных данных (равномерное распределение)\n", + " reference_logWks = []\n", + " for _ in range(n_references):\n", + " # Генерация случайных данных в том же диапазоне\n", + " min_vals = X.min(axis=0)\n", + " max_vals = X.max(axis=0)\n", + " reference_data = np.random.uniform(min_vals, max_vals, size=X.shape)\n", + " \n", + " # Кластеризация эталонных данных\n", + " kmeans_ref = KMeans(n_clusters=k, random_state=random_state, n_init=10)\n", + " labels_ref = kmeans_ref.fit_predict(reference_data)\n", + " \n", + " # Внутрикластерная дисперсия для эталонных данных\n", + " if k == 1:\n", + " Wk_ref = np.sum((reference_data - np.mean(reference_data, axis=0))**2)\n", + " else:\n", + " Wk_ref = 0\n", + " for i in range(k):\n", + " cluster_points = reference_data[labels_ref == i]\n", + " if len(cluster_points) > 0:\n", + " Wk_ref += np.sum((cluster_points - kmeans_ref.cluster_centers_[i])**2)\n", + " \n", + " reference_logWks.append(np.log(Wk_ref))\n", + " \n", + " # 3. Расчет Gap Statistic\n", + " logWk_real = np.log(Wk_real)\n", + " mean_logWk_ref = np.mean(reference_logWks)\n", + " gap = mean_logWk_ref - logWk_real\n", + " gaps.append(gap)\n", + " \n", + " # 4. Расчет стандартной ошибки\n", + " sk = np.sqrt(np.mean((reference_logWks - mean_logWk_ref)**2)) * np.sqrt(1 + 1/n_references)\n", + " sks.append(sk)\n", + " \n", + " return np.array(gaps), np.array(sks), list(k_range)\n", + "\n", + "# Использование для K-Means\n", + "gaps, sks, k_range = gap_statistic_kmeans(X_scaled, k_max=10, n_references=20)\n", + "\n", + "# Визуализация\n", + "plt.figure(figsize=(10, 6))\n", + "plt.errorbar(k_range, gaps, yerr=sks, fmt='o-', capsize=5)\n", + "plt.xlabel('Число кластеров (k)')\n", + "plt.ylabel('Gap Statistic')\n", + "plt.title('Gap Statistic для определения оптимального k')\n", + "plt.grid(True, alpha=0.3)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "8f006873", + "metadata": {}, + "source": [ + "**ВЫВОД:**\n", + "\n", + "* Gap Statistic показывает максимум при k=6 → значит, оптимальное число кластеров = 6\n", + "\n", + "* Это статистически обоснованный результат (не субъективная оценка)\n", + "\n", + "* Все алгоритмы это подтверждают:\n", + "\n", + " * DBSCAN находит 6 кластеров ПУТЁМ ДОЛГОГО ПОДБОРА с n-% шума \n", + "\n", + " * K-Means с k=6 работает хорошо\n", + "\n", + " * Иерархическая с k=6 тоже работает хорошо\n", + " " + ] + } + ], + "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": "3.12.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/stud/abdullaev/lab2-01.xlsx b/stud/abdullaev/lab2-01.xlsx new file mode 100644 index 0000000..b4d228b Binary files /dev/null and b/stud/abdullaev/lab2-01.xlsx differ diff --git a/stud/abdullaev/model_equations.txt b/stud/abdullaev/model_equations.txt new file mode 100644 index 0000000..8bab5d2 --- /dev/null +++ b/stud/abdullaev/model_equations.txt @@ -0,0 +1,27 @@ +ЭМПИРИЧЕСКИЕ ФОРМУЛЫ РЕГРЕССИОННЫХ МОДЕЛЕЙ +================================================== + +МОДЕЛЬ: Poly deg=3 + LassoCV +---------------------------------------- +Уравнение: y = -1035.8168 + 960.0886·X^1 - 503.1431·X^2 + 55.6280·X^3 + +Коэффициенты: + Intercept: -1035.81675564 + X^1: 960.08861059 + X^2: -503.14308062 + X^3: 55.62796076 + +================================================== + +МОДЕЛЬ: Poly deg=3 +---------------------------------------- +Уравнение: y = -1104.5950 + 1016.2730·X^1 - 515.6768·X^2 + 56.4461·X^3 + +Коэффициенты: + Intercept: -1104.59496261 + X^1: 1016.27296761 + X^2: -515.67675129 + X^3: 56.44613344 + +================================================== + diff --git a/stud/abdullaev/regression_model.png b/stud/abdullaev/regression_model.png new file mode 100644 index 0000000..5c69c7f Binary files /dev/null and b/stud/abdullaev/regression_model.png differ diff --git a/stud/abdullaev/regression_summary.png b/stud/abdullaev/regression_summary.png new file mode 100644 index 0000000..0eef807 Binary files /dev/null and b/stud/abdullaev/regression_summary.png differ diff --git a/stud/shukaylo/lab1.ipynb b/stud/shukaylo/lab1.ipynb new file mode 100644 index 0000000..48bf1b4 --- /dev/null +++ b/stud/shukaylo/lab1.ipynb @@ -0,0 +1,875 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np # библиотека для работы с чиселками\n", + "import pandas as pd # data processing, работа с CSV файлами\n", + "import matplotlib.pyplot as plt # для графики\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.metrics import mean_squared_error, mean_absolute_error" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Откроем датасет и посмотрим первые 5 его строчек" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " 0 1\n", + "0 1.404040 -12.034654\n", + "1 3.222222 -1.565204\n", + "2 4.515152 -0.025646\n", + "3 1.646465 -11.261848\n", + "4 5.646465 -0.593668" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset = pd.read_csv('..\\\\..\\\\tasks\\\\lab1\\\\dataset\\\\lab1-07.csv', header=None)\n", + "dataset.head(5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Посмотрим датасет" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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8yM6Z2synPpDbntsgpeWVSQ+6TkdgrM74E+UNuJm0G++sWBOKtWrGyVS/7o5Oc6VK34d4CdB2RjDsvu86VeDF1IqTEnCrEYjqSETG/flt2yMn8Ua50q0C87KKzC+dvW2t6WYzR023K/s2eQVhspExO7w4uXELScaAD9kZkt9XUVUjuFF6Hy27/r/3d9e43klyY9xkzjj31eF2L6sozOTM//uw1PF9NRjSqq5UusOa70O86i47CZZuJZVmqoOtOQJxQY9Wxu8vbbD3nmtAkyjxNd33IdvvY6a7B//f+3uMv+PY+9sdnblyUHtbSc/pjnh5eXLjBgIcwIfS/eKZ8sR7xpek00oPPVD/6ukPHQ1ZF56UL0O7nOzpwoHpnmk6rfKwO3R/fNXobXstX7+X1U9u/jvSpG5z/3+/YosMmvddoGKngaHa/lVFwgopzUNJ533I9vuYilSn1fTkZMoTzntDRQd6U4Z2slXNmO6Il9cnN+liigrwoXS/ePT4et3itfJw/vdfPskWN1T9566Qrw8660ejo0ix90uUn5JKhVU6AV8qCahOAyodJYqXn2NnUcls/zvSKhlNKnUq71iezhPv7Eg6DaZTMem8D9l8H1ORyrSajnZdt/i9tJ7XDPTOt5GQnqy/kp2TG30Ov/JFgPPggw/K3XffLaWlpXLmmWfK/fffL3379o27/d///neZNWuWbN++XTp37ix33XWXjBo1KqP7DHgp3S8eU2wCaKJKD7uNwazEBkXmVNkfLu1pLKfwfYlshXEwdFpu7EZuhZMgyWlAFTt1EJuf4/WSBvGCRrv/jlIJbpQ+5iV92sjvXt5qK8BM933I1tIQqXwemhCsuTDxppVic1fMUcNU6VvwwNieNf6OaiVJSE/UpNLuyU02K9d8H+A8+eSTctNNN8nDDz8s/fr1k9/97ncycuRI2bx5s7Ro0eKE7d98800ZO3aszJ07Vy644AJZvHixXHTRRbJ27Vrp3r17Vl4D4LZ0v3hMViMXsV96blZSxJr8xHtSXEfX6jkSdxs7ybpuBHxOgqR0AyqrCqNUS+eTSbUE3C0L3vzMUdBo531INMrn1fvoFjtLJFhNq6U7Daujto3r21uDzc7ImF3m5+rHdaqy3uhPg5o+ffrIAw88YPxeXV0tbdq0keuvv15mzJhxwvY/+9nP5ODBg7J06dLj1/Xv31/OOussI0iyg0Z/CIp4B69vq47aXtrg3p+dZZR4x/vi0dwLzbfIJjuN2sykX+XkSyuVJnDJmt854WUDtGRN38yg0erfUZP6BY6nIzPxPvhhzSO312uLZfV67DbTtNNoM53XvGJjqdEh3O6/Df1crdaD8+ozC0yjv8OHD8uaNWtk5syZx6/Lz8+X4cOHy+rVqy3vo9friE80HfF55pln4j5PZWWlcYl+g4AgSDSlZHeRyjlLNyTMj8l27xC7eTLmmaYmQdudUrE6U7bbsC/ZyEe92rWk4vDRpPvg1fubbgm4ThNOfTK9A6rbZcSZWPMo2edvN8Cy6lqdbCRUp6weHNdL+nf4bqV4t6dhv/qm0giUUhlBqXVsZEwvvxrdTd76ZK9MXlQzt8zqc9U2DJqD5sd1qrIa4Hz11Vdy9OhROfnkk2tcr79v2rTJ8j6ap2O1vV4fj05nzZ4926W9BjLLakhevzA0v0WrpZIVB8WeicV+8dj9YjUb7Jma2lwqwYlkwYDu77eHj8rUv6239XixCajxDl6zRnc1hvejD3rxhu61cuTKge3l7HaNE/aI8bo3i9PuvlZdlr3mpMLJScCW6tRHsuDFboBlPSJWO2ngrcFCft5305VuT8PqQ0YvqdAyjREU3b9BnZrJvDFnWI6amnuvfzdzXvD2Mwt0Dk4m6AhR9KiPjuDoNBgQZKN6tJIHJM+oloqVKN8i9ovHzherTmesmj5M1u3cn9I6S3bZCQZKiuvaeiz98h0/qH3SFZZ1/2MrV6IPDvGSWvWA7NUK33bYHRlatfUry9EKtxLZo8Um1TqpcPJ6OYZkwcuDl/Y0AoRkB2tNHp68+D3LpQ3S+dzs5t3Fuy32RGfPsUT/qcM7y5ShnVMKMBJVrunfl17n5yU0shrgNGvWTGrVqiWff/55jev195IS69Izvd7J9qqwsNC4AH6V6pz/qB4tjVJwq7PJRKMrsV88ydYiumJAO/nHxlJj37QJnLlvej+7U2WJOAkGkh2YzceKDm6cJlLHnrHHJmXr6Id+Vpf0OVV+t+LjuAsnetmbxe7I0AOvbLUM3JwkstsdrXvw0l4pL2zq5XIMdkaHbn72w4R5J+bfjG6XTkColYROAwrzc1Oxt+nbm2gU994VW+SJd3bKbT9ObTTHKsjXaSkdubF7cqN9lnI2yVhLwrU03EwyPvXUU2XKlClxk4wrKirk+eefP37dwIEDpUePHiQZI5DcSKqMDZD0C8XONE50UqJla3iLRQFj9+27xmTJp8risbuKsp2E43iPlWoidcuY5ORU3yMvHD5SLf3nvuyoxNvq/bF6TSVFhTK276nSrln9GqN1yYLKRIncyYJ4u59RKknbfkikN+XZ+Lduld+z5rN9x9eF0wf56kClkXNjZ6Vv04RB7WT4sVHbdKb5nLaU0BOuO/+f7q78PTg5fmc9wNEy8SuuuEIeeeQRI9DRMvG//e1vRg6O5tZcfvnl0rp1ayOPxiwT/+EPfyjz5s2T0aNHy5IlS+TOO+90VCZOgAO/sFsF41SqB4voL1Y909TRCTv7pl2TrabK7Eg1GEgUGLqZUKtD/D8f/oOEn1Xk2HZmQOB1iaydUuR4zGDktV8O+f6g2aDQeBG68nq8/XcaVCbb39jPPVnlWirVcG5WKLnF6etI9N5VHqlO6XW1jJN3ZidPKnZldDvS/T4LbICjtETcbPSn5d733XefMbKjBg8eLO3atZMFCxbUaPR38803H2/09+tf/9pRoz8CHPhBsi+LdL7Q0z1YpLJvVl/EjesVfLfCcdToRuzoQDrBgNWogFaYuV0SrQndeqbsxWeViTNoK7FJsXYCzVRGG50E8YmCqHSCSLsBv74nOv0S728m2dSvE1OGdDISeRO9jmTv3Y3DfyD3rvjYlf1paePzT2ckzK2/kcAFOJlGgAM/8HJIPt0zbjdGgMyDkMpUAzC3Dv6x7AZIVp+Vmw3Q7JxBF9TKk6qjzt8Bu2fZTl6PW4Gy02lAqymeRFNsSp9+wjnt5c//36dx/2Y0x0hzTxKdOBTXK7DdoyrR67D73ukh/PPyyrT/zefZ+PzdGAlLty9UYPrgALnMy6TKdNfuSXXf4nWZzUQFhZcdme2O/sS+H243rbPT7TaV4MZJWa+TTsKpVEbFJrXGmyqN12fFMkCqWyDndG4mL0QtQBtLc8g0uJl0bnt5bv2eGvcvPtYaYGT3EsnPl7gJ+Uq3czKqEu912H3vdFTrdyu22H6+dD7/TC+Zki5WEwcCtBhfMmaFj7mqtX5R6dmxnjVpQrH+1N+THVy92Devpdvq3g2xCycmWmFbb/fbwSE64HBDuoGyVuwteTf+Qp6xK8XHe8+1dH3p+3ukbu1aRj+nRDS40fwkDRw0MDLuX1FlBC06oqISrdStK3lrEGt3jM7qdTh573TKztifokLPP/++xyoY0xl/zeR3BiM4QJbYLXe220fFzdECt/ctE7w++CfLz7BaONHtBmiZOji49V6mGyg7GQHS9z7ZCF6yztPm4z306jZjVCTRqJGeKMSbqnO6/pfVSJaT907vo/+WHli51ZWcnC+S9OpJpTVENr4zGMEBssT8slCxhzinfVTcHi1wc98yxauDv75CDfb+3wu7234/3tq21/aBOZUVqoPyXiY74zff23gHPScjQG6O4M1f9WnSUSOlgYW2WTA7RcdOD8eO8iQT/Xqdvnf6/D8f3lkevqyXcb1Xn7++Nh3dciJb3xkEOEAWxfsiNIe77Yy8JBst0Muvnv7A6JuS6X3LJDsHBB3G14VH81L4YtaminbeDw0mdW0eO+wewPUxdXpk3KNvx10byC2JAg6nEgXKcuzf5qju3+XbRE/PmJyMYrg5gpfoPbYbnOq/B3N6eMqQjraeN/r1pnqSEf28Vw1qZ3l/STHgjJ4WcyJb3xlMUQFZlmg5ADvsnLlqkqw2hdOOxO2a1bP9HOnuWyYl6sxr7u1tPz7d+Gl3+qC4boFcOaid8R7YeT+cVnHZOYB7VRkWj9tn2fGS3c0OvI+u2m5crKZTnUyVupE3ZFRBxSw3EY+dgMrMJdL9+9+1uxxP+aZaKBC9cGbfY1N3yb4jnIyy2A08NbAb1Kl51r4zKBOnTBwBl2rpZia67WaDnVyk+ItudpMtXxwwpiiiD3J23isnTdDs9gSx85g6ZaWJs/sclCbHM3X4D4xpDi+Ypdvap+gvq7bbLlNO1htHRyk06NRS8HN/vVJKyytT2r/ve8t0NpY3cLvcOZ22Dem2Gjgac3+rpRacfB942ZQxGfrgJEGAgzBJtfmWm91F/cbOASFek8BUO0s7+RzstOt38pjRpcJWX+hmw8Wyiqq4I0E6fbdqxjBPz7RTbW5pFZDGrsGkvXKqjlTLwSSJxPFEd8H26uDtdtuAdBxNM2hKJ2BLB31wgByS6qrQ6VTz+J2dXi2x26Rb+WQ3B0RHXOaNOcPWl7/TUmGr/i86xaarSZvBW6LpO6//DaS6Ynj01OCKjaXGlFZsyo6T5nrJOgonm+pMdRrPT1O+tRz0M3K7z1amEOAAARR79qVTK3YTW+0cUHJRqgdfp3kJD47rZRxQ7UilVDjewdMPB6R0mlvq69DXc9Pf3F1TqvPJDU74PL18r9INLPzkfB8FbFYIcICAiTfMrR1Y/77mXymtuZTJ7qJh7SxtNyG2f4emnvUjSnbwzPYByeu+OG7uU7bfq6Co5eOAjTJxIEAS9bv54+ufyu0/Ot1oSOeUnzoSZ0u6B18vegd59Zjx+rd4LVN9cdwqibZ6r2K7hVuVt8MfCHCAgEiWI6LueHGT0ZBOv7zzXOx7kQvSPfh61TsoaP2IvAzY3ArEUw0OzX5EmvitlYv6U39PZdkNeI8qKqqoEBBOVvgu+/Zw0t4XYa6iSrVqxK3KEDdXEPfyMbMlfpl+V2lcvzDua0xWnhxPbMVVKpVL8foR5drfUbZRJp4EAQ7C3O9GF9XUIfXoA+L2rw7KE+/sqNEjJKx9cNItz/VTKW+YpdqbJV4QasUMPh68tJc0rl87rT4yqZS3w30EOEkQ4MCvEp2lOxnBsUr6C9MIgBOpnHln+r3K1c8m1c/IKgjVPjix5eJuBabp/u3BPfTBATLEzQNTspGDdFf49nO1g1dS7W2Tyfcq10eMUvmM4lU4KS8CxXQr7JAdBDiADw5M8c5gzdXAzTNYrxqQhVW6vW28luhzv2bh2uPLEIR5RCfVzyheEOrF55huhR2ygyoqwOVybb3eSVWFneoovV23C1NFTSb4+czbzueuazYFsVLHSSm1nz8jNyvskHmM4AAOpdvSP90zWBqQhePM20nTutiRvDCNbGb7M7IzzWxnpXpGT/2HAAdw+MXn9rRHKmewuZhPk4p085a85GREIijrhtmdavXLZ+QkGPPDUhdwhgAHcPjFV3mk2tUDWLbPYMPMz2feTj/PbOcLeZnQnY3PKJVgjNHTYCEHB3CYX7P9qwpXD2DM73vLr3lLyT73oFXqOBnZzPZn5CTvzU9LXcAZRnAAh2ehS97dISVFhfJ5eaUrQ+qJzmDN572kz6kpvR7498w72ecetJG8dJOFM/kZ+b26Du5gBAehlcqieHa/+Mb2PdXVBRDjncGa7l3xceAqafzGj2feyT73II3kuTHVmqnPKAiVW0gfIzgIpVR71Nj9QmvXrL7jhMNk1RrmGewDK7fIvSu2BLqSBvZFj1ys2Fgqj67afsI22c4XCnpCdyzy3nIDAQ5CJ5XkwVS++PQM0+6QupOAa8m7OwNdSQPnzJELvfRp3ySQlTp+TugOcjCG1LEWFWtRhUq6i+IlW604lUX1nKyzw5o3CPraVEFZesKtleORWaxFhZyVbvKg22ehTktnyQ1A0Psc+TGh2wp9bcKPAAeh4kaA4OYXn92A661P9sqgTs3IDUAoBCVAC0owhtQQ4CBUnAYI8aYCrL74erdtLGs+22dUZdn9IrQbcE1etFbmjTnDeM5EuQGqUd0CqY5EjH3nixgIdjAW5OlIvyMHhxycUHGSQ7N8Y6ntXIFU8wrs5tSY+6YjR8oqNyCWH/MaAIQvXymox2/64CBUzByaZD1qNLixuxp4OiuHO+1Wa+bj2OmNksrK5QD8IZ3vFdiTtQBn+/btMmHCBGnfvr3UrVtXOnbsKLfeeqscPnw44f0GDx4seXl5NS7XXHNNxvYb/pes7bsGEHbbtKfT0j024EomOgFaX4OOMi2a0M+YkpIUnx+A/6T7vQKf5+Bs2rRJqqur5ZFHHpFOnTrJhx9+KBMnTpSDBw/Kb37zm4T31e1uv/3247/Xq1cvA3uMIEmUPKjTRk7WzEm3pbsZcM343w9k/7dVSffdzNvRfc3Pz0t4n3RbyjP/D2QeS0WEPMA5//zzjYupQ4cOsnnzZnnooYeSBjga0JSUlGRgLxHG5EEvSrGTbatBTsPCAhn36NuOEqW9LBtn/h/IDtpBZIavcnA0aahJk+SdIxctWiTNmjWT7t27y8yZM6WiIvHqzpWVlUZiUvQFuctJpZWbZdv9OzZ1vGq4V2XjzP8D2UM7iBwLcLZu3Sr333+//Od//mfC7S699FJZuHChvPLKK0Zw89e//lUuu+yyhPeZO3eukXVtXtq0aePy3iNIkiX+RgcaTrZ1KwE6eorIzec3Mf8PZJcXf9fIQIAzY8aME5KAYy+afxNt165dxnTVxRdfbOTXJDJp0iQZOXKknHHGGTJu3Dh5/PHH5emnn5Zt27bFvY8GQjo6ZF527rRe6we5wUmgkUpQkmg182QJ0LFTQ+k8vxvz/wDc58XfNTLQB+fLL7+UvXv3JtxG821q165t/P/u3buNyqj+/fvLggULJD/fWcylSckNGjSQZcuWGYGPHfTBgdMcFLvbmkm7Wob+zLrd8vXBw5bbO03udTNfRgOuny9Zl3S7319yllx4VmtHjw3APvLgnHNy/M5qoz8duRkyZIj07t3bmHaqVauW48dYtWqVnHPOObJ+/Xrp0aOHrfsQ4ASfW9U/Th4n2bZWX1ZW/nBpLxnVo2XWXjMLegL+QSVjCAMcDW505KZt27by2GOP1QhuzAop3WbYsGHGNFTfvn2NaajFixfLqFGjpGnTpvL+++/L1KlT5ZRTTpHXXnvN9nMT4ASbH8964q0YbkW/ux4Y21NG9Wgl2eDFiukAkAmB6GS8fPlyI7H45ZdfNgKUli1bHr+YqqqqjNJxs0pKp7VWrFghI0aMkC5dusi0adNkzJgx8vzzz2frZSDD/Fj9kyhp14rm7l63+L2sVSox/w8gF7AWFSM4gWGOPMSbAsrWyIOT9aaitczyKIkfR8IAwK3jN6uJIzD82v0z1WZc2e5UmqjbMwAEHQEOAsOv3T/TacaV7U6l8bo9A0DQ+abRHxDU7p9OVwyPRqdSAPAGAQ4Cw6/dPxMl7cZDp1IA8BYBDgLDz9U/msty4/DOUly3IOm20fuqYrsdAwDSRw4OAsVc6iC2+qfERvWP3YZabnQZblS3QK4c1F46t2ggc16w3lcVWxVGFRMAuIMyccrEA8mrpQ6clk7Ha/Bn7okGY1aVSrqUQ7L7EeQAQAA7GWcTAU5usROEaDBhd7t0+/L4tZ8PAPhdIDoZA9nuMmxep7cfPlKdcDu9zHjqA1m15avjeTKprsrNat4A4D1ycBBqdoOJv67ennSRzP0VVTLu0beNKatZo7vJxj3lKfW68Ws/HwAIEwIchJrdIOGzr79b78wODYSuW7w25V43fu3nAwBhQoCDUCcb2w0S2jap5/q+mbk0sb1uzH4+yVbzpkcOAKSOAAeBZafiyW4w8R8D2smf3/g07nZOJerLY/bz0YRmvSXio34+ABAWJBkjkMyKp9i8GQ1Q9Hq93UlzwNon5TvuRpyIBk2JSr3Nfj66nZP7AQDsoUycMvHASaXMOp0+OE5NGdJRpp53mq0RGKf9fAAgl5U7OH4zRYXAcVJmba6UrUGMVcO92GDC3O6tT/bK5EVrZf+3VY73b1Cn5raDFFbzBgBvEOAgcFIts7YbTOh2gzo1k3ljzjCmu5SdYU6SgwHAP8jBgW/p9I3VQpSZKrOOlydjheRgAPAXRnDgS4lyZnQKKVNl1lZTW/sOVsqcFz5yvNgnACBzSDImydh37KwJpaymjzK1WCXJwQCQeaxFhdCvHaWjKtksszbzeS48q7Xxk+AGAPyFKSoEtkLKbmUUACD3EOAg0BVSlFkDAKwwRQVfYSFKAIAbGMGBr6S6ECVJvwCAaAQ48JVUFqK0uwwDACB3MEUF33GyEKWdRTfjNQwEAIQXfXDog+Nbyaad7Cy62ahegRSelC+l5ZU1Rndmje4qjesXMqUFAAHCYpsIhWQVUnZKyvdVnLhYpt7nusXv1biOKS0ACBemqBD6knI7oqe0AADBR4CDwHKzVDy6SzI5OgAQfAQ4CHxJuVuZM2aX5AWrPiXIAYCAI8BB4EvKlZvpwbpSuCYvM10FAMGV1QCnXbt2kpeXV+Myb968hPc5dOiQTJ48WZo2bSoNGjSQMWPGyOeff56xfUYwSsp1ZEcrqFINfMjJAYBgy2qZuAY4EyZMkIkTJx6/rmHDhlK/fv2497n22mvlhRdekAULFhilYlOmTJH8/HxZtWqV7eelTDxY7HQpttpm+cZSI0hRqfwjN7smvzF9KCXkAOADgSoT14CmpKTE1rb6gh599FFZvHixDB061Lhu/vz50rVrV3nrrbekf//+Hu8tMs1ul2KrknJzdCf2/nZFr1zOgp4AECxZz8HRKSmdburZs6fcfffdcuTIkbjbrlmzRqqqqmT48OHHr+vSpYuceuqpsnr16gztMTLFTpfiZDTI0RGYJyb2l99fcpbx8w+X9jKCpGyUowMAMiOrIzg33HCD9OrVS5o0aSJvvvmmzJw5U/bs2SP33HOP5falpaVSu3ZtadSoUY3rTz75ZOO2eCorK41L9BAX/E2nnHTkxWpqSa/TCSO9/bxuJUmnj6xGd0Z2LzGqpTShOBlWLgeA4HF9BGfGjBknJA7HXjZt2mRse9NNN8ngwYOlR48ecs0118hvf/tbuf/++2sEI26YO3euMWdnXtq0aePq4yN9setFvbVtb9Iuxeb0USo06Bk/qH3CMnO9vqXFyuUAgBwcwZk2bZqMHz8+4TYdOnSwvL5fv37GFNX27dvltNNOO+F2zdU5fPiw7N+/v8YojlZRJcrj0ZEhDaaiR3AIcvydZ9OoboGt+67YWJpyfkwqK5cDAHI0wGnevLlxScW6deuMiqgWLVpY3t67d28pKCiQl19+2SgPV5s3b5YdO3bIgAED4j5uYWGhcYF/82xip6L2f3viGlJWHl21Xfq0b5LyGlLxEpG1eoq1qQAguLKWg6NJwW+//bYMGTLEqKTS36dOnSqXXXaZNG7c2Nhm165dMmzYMHn88celb9++xvSSlpXraIzm7WiJ2PXXX28EN1RQhSvPxgm7uTjxaBCj909Wig4ACI6sBTg6orJkyRK57bbbjJyb9u3bGwFO9FSSVkzpCE1FRcXx6+69915jlEdHcPR+I0eOlD/84Q9ZehVIR7LVwO1yo5Q72crlAIBgyWqjv2yh0Z8/aELxz5esc+WxtAT8wrNau/JYAIDgH7+z3gcHucvN8mtKuQEA0Qhw4NvVwM0y7ZKiQkq5AQCOEODAt6uB69zpJX1OlVsuON1yG0q5AQDxEODAl6uBm+5d8bHMeWGjTDq3/Qnb6O96X0q5AQCxSDImydg3JeMPrNwi967YcsJt5tjMg5f2lMb1CynlBoAcVR6k1cQB05J3d1peb649petG6cKZBDUAgGSYokIgeuKku/YUACC3EODAF3Tayc3tAAC5jQAHvmC3jw39bgAAdhDgIFA9ceh3AwCwgwAHWa+eWr1tryx9f7dc0qfN8YTiaE773ZiPqUtB6E/9HQCQW6iiQtYs+3CPsRJ4dHJxo3oFxs/9FVU1+t1ocGOn343VY7Z0cH8AQDgQ4CArNBC5duFaY8QmWtmxwGbq8B9Iu2b1HPW7ifeYpWWHjOtpCggAuYMpKmScThnpKIvVxJF53ZJ3d8gFPVrJgI5NbU9LJXtMvZ3pKgDIDQQ4CEXPG/roAACiMUUFg45s6ME/E8sgeNHzhj46AIBoBDjIeGKuFz1v6KMDAIjGFFWOMxNzY6d3zMRcvT1dsWXbvds2dr3nDX10AADRGMHJYckSczUo0NvP61aS8nRVvNGhH5/ZUv74+qfGc0TS6Hlj0m31PhqUufWYAIDgYgQnh3mdmJtodEiDm0nntjd63ETT31Mt59b76H3dfEwAQDAxgpPDvEzMtTM69Nz6PfLaL4fIms/2uZbcrEGMjjhlKmEaAOBPBDg5zMvEXLujQxrcaK8bN2kw4/ZjAgCChSmqHOZlYi5l2wCAbCLAyWFmYq64sMBlLMq2AQDZRICT47xKzLUzOtS0fm0pLfuWFb8BAK7Li0QiOXdkKS8vl+LiYikrK5OioqJs705oOxmbVVQq2T8yVvwGALh5/CbAIcDxlFUfHCtmKEU5NwAgHgKcJAhwsjM6VFp+SOYs3SBfH6yKG+To1Ngb04dS1g0ASOv4TQ4OPGeWbZcU1Ykb3ChW/AYAuIUABxlD6TgAIFMIcJAxlI4DADKFAAcZo5VZJUWFcW9nxW8AgFtYqgGelZPHbrvv4GE5dKTacltW/AYAuIkAB2mVfMfrX2O3PNxUXK9A5v3kDErEAQDBnqJ69dVXJS8vz/Ly7rvvxr3f4MGDT9j+mmuuyei+5yKzaV9swFJadsi4Xm9Ptm0idQtqGauAAwAQ6ABn4MCBsmfPnhqXq6++Wtq3by9nn312wvtOnDixxv1+/etfZ2y/c5FONelojFXDJPM6vV23S7RtIpSHAwBCMUVVu3ZtKSn5/oy9qqpKnn32Wbn++uuNUZlE6tWrV+O+8IaZQ7Nq65cJR2Ni+9c4GbmJRnk4ACB0OTjPPfec7N27V6688sqk2y5atEgWLlxoBDk/+tGPZNasWUbQE09lZaVxie6EiMSc5tC4EaBQHg4ACF2A8+ijj8rIkSPllFNOSbjdpZdeKm3btpVWrVrJ+++/L9OnT5fNmzfLU089Ffc+c+fOldmzZ3uw1+Fk5tBEMhSgmEs0UB4OAHCL62tRzZgxQ+66666E23z00UfSpUuX47//61//MoKWv/3tbzJmzBhHz7dy5UoZNmyYbN26VTp27Gh7BKdNmzasRRVnWuqcu1Y6GrmJXkNK6f01+djOPywW2QQAeLEWlesjONOmTZPx48cn3KZDhw41fp8/f740bdpUfvzjHzt+vn79+hk/EwU4hYWFxgXJaR6N0+BGA5l/715i3FdHYbRsXEeAzNsSKYlTZg4AQDpcD3CaN29uXOzSASQNcC6//HIpKChw/Hzr1q0zfrZsyQHSDU7zaDQfXMcA/7Jqu3HRvjizRneVG4d3lvmrtsv+b79fXNO8rXH9QluNAgEACGwOjk4xffrpp0aJeKxdu3YZ00+PP/649O3bV7Zt2yaLFy+WUaNGGSM+moMzdepUOffcc6VHjx5Z2f+wsZtHoyM2L35YKtUxQzQ6+nPd4vdqXNeoboFcOai9TBnaiWAGAJAba1FpcrH2xInOyYkuHdcE4oqKiuOl5StWrJARI0YY2+t0mObsPP/881nY83DSERUdaclLlG9TVCjv7dhv+zHLvq2S3634WJZvLHVtPwEAyGiScdiSlHK5ikpF/+Mwgx6dfrp3xRZHjxmdiMwoDgDA6+N31kdw4D+a8KtVTRqQRNPf9fp2zeo7fszYZoAAAIQ6Bwf+DXJ0bSirlcNXb9ub8uPSrRgAkAkEOIhLg5kBHZvGzdOx2+smGt2KAQCZwBQVUgp8tHeNE5p1o0ER3YoBAJlAgIOUp7AevLSX2MkXNjfRoIgEYwBAJhDgIGWN69c+oQ+OlSb1a7MUAwAgowhw4HnC8M2juxLcAAAyiiTjHFxM06oyKpXH+eqb7xcwTaSkuG4KewoAQOoIcHKsgd/s5zfWWEyzZQqLXVo9TqLmfiQWAwAyjSmqHOtOHBuUaKm3Xq+3p/M4sUgsBgBkEwFODtDpJB1xscoHNq/T23W7VB8nltn1mNwbAEA2MEWVAzTnJtGIS/QyClaN/ew+jmnW6K4yflB7Rm4AAFnDCE4OsFvtlGw7u4/TrGEhwQ0AIKsIcHKA3eURkm3n1uMAAOA1ApwcYK4dlZfmMgpuPQ4AAF4jwMmxtaPy4uTgaN5MsmmlRI9D1RQAwE8IcHKEVjNpVZNWN1mZ88JHtkrF4z0OVVMAAD/Ji0Qidqp+Q6W8vFyKi4ulrKxMioqKJJf83/t75LrFa0+43hxzsRukuNURGQAAL47flInnEA1K5ryw0fI2jXI1PNE+N+d1K7E1XZWopBwAgGxiiiqHOOmHAwBAkBHg5BC3+uEAAOB3BDg5hD42AIBcQQ5ODjH72OgCmxEHq3+TUAwACBoCnBxi9rHR1cA1PInY6GOjpeOaeBydu6NBkm5HSTgAwK+YosoxTvrYaHCjwVBsYrKOAOn1dvrmAACQDYzg5CANYrQUPNG0k05L6chNxIWScgAAMo0AJ0cl62PjpKScfjgAAL9higqWKCkHAAQZAQ4sUVIOAAgypqhyQCpl3qmWlAMA4AcEOCGXapl3KiXlAAD4BVNUIZZumbeTknIAAPyEEZyQcqvM205JOQAAOTOCc8cdd8jAgQOlXr160qhRI8ttduzYIaNHjza2adGihfzyl7+UI0eOJHzcr7/+WsaNGydFRUXG406YMEEOHDjg0asILjdXDjdLyi88q7Xxk+AGAJCzAc7hw4fl4osvlmuvvdby9qNHjxrBjW735ptvymOPPSYLFiyQW265JeHjanCzYcMGWb58uSxdulRef/11mTRpkkevIrgo8wYA5LK8SCRiNYvhGg1abrzxRtm/f3+N61988UW54IILZPfu3XLyyScb1z388MMyffp0+fLLL6V27donPNZHH30k3bp1k3fffVfOPvts47ply5bJqFGj5F//+pe0atXK1j6Vl5dLcXGxlJWVGSNBYbR6214Z+6e3km73xMT+NOoDAASCk+N31pKMV69eLWecccbx4EaNHDnS2HkdoYl3H52WMoMbNXz4cMnPz5e333477nNVVlYajxt9CTuzzDveZJJer7dT5g0ACKOsBTilpaU1ghtl/q63xbuP5upEO+mkk6RJkyZx76Pmzp1rRHzmpU2bNhJ2Zpm3ig1yKPMGAISdowBnxowZkpeXl/CyadMm8ZuZM2caw1nmZefOnRLWyimdmnp23S7jp1Y/UeYNAMhFjsrEp02bJuPHj0+4TYcOHWw9VklJibzzzjs1rvv888+P3xbvPl988UWN67TqSiur4t1HFRYWGpdcbej3xvShlHkDAHKKowCnefPmxsUNAwYMMErJNWAxp520MkqThjSRON59NFl5zZo10rt3b+O6lStXSnV1tfTr109yvaFfbLa42dCP0RoAQK7xLAdHe9ysW7fO+Kkl4fr/ejF71owYMcIIZP7jP/5D1q9fLy+99JLcfPPNMnny5OOjLTrC06VLF9m1a5fxe9euXeX888+XiRMnGretWrVKpkyZIpdccontCqpca+in9HbdDgCAXOFZJ2PtZ6O9bUw9e/Y0fr7yyisyePBgqVWrltHHRvvk6MhM/fr15YorrpDbb7/9+H0qKipk8+bNUlVVdfy6RYsWGUHNsGHDjOqpMWPGyH333Se5uoDmqq1f2m7oRzk4ACBXeN4Hx4+C3gfHKt8mmd9fcpbRiRgAgFw4frMWVUjybZLR5GIAAHIFAU5I8m3iyTtWFu6koZ85/UXVFQAgqAhwQrSAprjQ0C9RuTmVWACAoMhaJ2M453RhTKcN/czpr9ggyiw319sBAAgCRnACxG4ezZQhnWRQp2aOppaSlZvro+jt2h2Z6SoAgN8xghPCBTSnnvcDoyTcSSCSbPorutwcAAC/I8AJEC8X0LQ7/eV0mgwAgGwgwAkYzafxYgFNu9NflJsDAIKAHJwA0iBGc2HcKOU2S8JLyw9Jk/oF8vXB77tGp1tuDgBAthDgBJQGM+kuvWC3I3K6018AAGQaAU6IJWrY56Qjso7c0AcHABAkBDghlahhn05vJeqIrCFQk/q15ebRXaWkuC6djAEAgUOAE0LxRmfMhn03Du+ctCR878HDRnDDCuQAgCAiwAnZNFTvto2TNuybv2q7rcemJBwAEFQEOCGbhtKppa8PHo57Hw1y9n9rXSkVi5JwAEBQEeCEbBoqUXATrVHdAin7tspypIeScABA0NHoL4ASrRtl15WD2nvSERkAAD8gwAmgZOtGJWKuVzVlaCdPOiIDAOAHTFEFUKrJv7GjM252RAYAwE8IcALIbvJv7NILVg373OiIDACA3xDgBJCOsug0k/a1iZckrNVUvxrVVfZXHDb+n4Z9AIBcQg5OAGmQoiMxKi9Bo75pf18vc174SH790mYp+/YwwQ0AIGcQ4ASUTjNZJQlbMTsYa2k5AAC5IC8SiaRTbRxI5eXlUlxcLGVlZVJUVCRh6GRcWn5I5izdUCPnxqq3zRvThzKSAwAI/fGbEZyABDGrt+2VZ9ftMn7q77FJwiVFdeIGN0rvoaXlGgwBABB2JBkHeFXw6Goou6XjrC8FAMgFjOAEYDmG2KZ+Vjk1dkvHWV8KAJALCHACuByDeZ3ebk5XmaXjeUk6GLO+FAAgFxDgBHQ5hticmkSl46wvBQDINQQ4PpVKTk280nHWlwIA5BqSjH0q1Zwa1pcCAIAAx7c0KCkpKpTS8sqEa031btv4hOtZXwoAkOuYovKp5RtL5dCR6oTbaN+bH979Ch2KAQDIVIBzxx13yMCBA6VevXrSqFGjE25fv369jB07Vtq0aSN169aVrl27yu9///ukj9uuXTvJy8urcZk3b56EsTx8f0X8xn0mlmEAACCDU1SHDx+Wiy++WAYMGCCPPvroCbevWbNGWrRoIQsXLjSCnDfffFMmTZoktWrVkilTpiR87Ntvv10mTpx4/PeGDRtKLpSHW9HtNLtG76O5N+TaAADgYYAze/Zs4+eCBQssb7/qqqtq/N6hQwdZvXq1PPXUU0kDHA1oSkpKJBfLw5OVjJN7AwCAz3JwdPGsJk2SN6LTKammTZtKz5495e6775YjR44k3L6ystJYoCv64lfpLKXAMgwAAPisikqnqJ588kl54YUXEm53ww03SK9evYxASO8zc+ZM2bNnj9xzzz1x7zN37tzjI0p+l85SCizDAABACiM4M2bMOCHBN/ayadMmcerDDz+UCy+8UG699VYZMWJEwm1vuukmGTx4sPTo0UOuueYa+e1vfyv333+/MUoTjwZBOjpkXnbu3Cl+lWzJBSsswwAAQBojONOmTZPx48cn3EZzaZzYuHGjDBs2zEgwvvnmm8Wpfv36GVNU27dvl9NOO81ym8LCQuMSBOaSC1oZpYFLsmRjlmEAACDNAKd58+bGxS0bNmyQoUOHyhVXXGGUladi3bp1kp+fb1RkhYW55IJWRkUnHDeqV2D8jC4f12UYNLhhGQYAADKQg7Njxw75+uuvjZ9Hjx41AhHVqVMnadCggTEtpcHNyJEjjWmn0tJS43YtEzeDqHfeeUcuv/xyefnll6V169ZGldXbb78tQ4YMMSqp9PepU6fKZZddJo0bn9jRN8jiLbmgWIYBAIAsBTi33HKLPPbYY8d/14on9corrxg5NP/zP/8jX375pdEHRy+mtm3bGtNNqqKiQjZv3ixVVd+NWOg005IlS+S2224zcm7at29vBDgaIIVRvCUXKAUHACCxvEgkYrenXGhomXhxcbGRcFxUVJTt3QEAAC4fv33VBwcAAMANBDgAACB0CHAAAEDoEOAAAIDQIcABAAChQ4ADAABChwAHAACEDgEOAAAIHQIcAAAQOp4t1ZCLjlZHWCcKAAAfIMBxybIP95yw+ndLhyt9EyABAOAOAhyXgptrF66V2EW9SssOGdc/dFmvpEGOGwESAAD4Djk4adJRFw1MrFYsjRy7zHjqA1m15StjW6v7/37FFrlm4doawU10gKTBDwAAsI8AJ006pRQbmMTaX1El4x59W865a2WNYEX/f9C8l+XeFR9b3s8MkDSAsgqOAACANQKcNGm+jF3RIzLmtFZpeWXS+2kA9cDKLWnuKQAAuYMcnDRpMrBdOgajKcPGlFYkYjmtFc+9K7bIaSUNyccBAMAGRnDSpJVOmgxst9YpcmxExs7ITSymqgAAsIcAJ01axq2VTsrrgm4NjDTnBwAAJEaA4wKdNtJS8JJi+9NVmcj5AQAgVxHguBjkvDF9qCy6up80qlsQdzsd5dEprZKiwpRGfJzk/AAAkKsIcFyerhrUqZnMG3OGEbzEBjDm7zqldduPT69xXTJmYKQ5PwAAIDECnAxOWenvD17aU4rr1pZvq6plTK/WUlQneSFbdGDE0g0AACRHmbiHQc553UpqrC217+BhmfNCzeUYTDqtdeWg9tK5RYMTttHAiCUbAACwLy+iDVlyTHl5uRQXF0tZWZkUFRVldb2qaDo2oyM/sYERi24CACCOjt+M4GR5vapo5rIMGuAM6Ng0Q3sHAED4kIPjk/WqTPS6AQAgfQQ4GeC0dw29bgAASA8BTgY47V1DrxsAANJDgOOz9arodQMAQPoIcDK8XlUiGgDR6wYAgPQR4GS4+Z+O0FjR6/V2et0AAJA+ysSz1PyvtPyQfH2gUprUry0lxXXpdQMAgIsIcDJMgxh63AAAENApqjvuuEMGDhwo9erVk0aNGlluk5eXd8JlyZIlCR/366+/lnHjxhkdDPVxJ0yYIAcOHPDoVQAAgCDyLMA5fPiwXHzxxXLttdcm3G7+/PmyZ8+e45eLLroo4fYa3GzYsEGWL18uS5culddff10mTZrk8t4DAIAg82yKavbs2cbPBQsWJNxOR2FKSkpsPeZHH30ky5Ytk3fffVfOPvts47r7779fRo0aJb/5zW+kVatWLuw5AAAIuqxXUU2ePFmaNWsmffv2lb/85S+SaO3P1atXGwGRGdyo4cOHS35+vrz99ttx71dZWWks0BV9AQAA4ZXVJOPbb79dhg4dauTp/OMf/5DrrrvOyKe54YYbLLcvLS2VFi1a1LjupJNOkiZNmhi3xTN37tzjI0oAACD8HI3gzJgxwzIxOPqyadMm2483a9YsGTRokPTs2VOmT58u//Vf/yV33323uG3mzJnG0urmZefOna4/BwAACOgIzrRp02T8+PEJt+nQoUPKO9OvXz+ZM2eOMaVUWFh4wu2aq/PFF1/UuO7IkSNGZVWiPB59LKvHAwAA4eQowGnevLlx8cq6deukcePGcYORAQMGyP79+2XNmjXSu3dv47qVK1dKdXW1ERwBAAB4moOzY8cOY2RFfx49etQIXlSnTp2kQYMG8vzzz8vnn38u/fv3lzp16hhl33feeaf84he/OP4Y77zzjlx++eXy8ssvS+vWraVr165y/vnny8SJE+Xhhx+WqqoqmTJlilxyySVUUAEAAO8DnFtuuUUee+yx479rno165ZVXZPDgwVJQUCAPPvigTJ061aic0sDnnnvuMYIXU0VFhWzevNkIZEyLFi0ygpphw4YZ1VNjxoyR++67z6uXAQAAAigvkqguO6S0TLy4uNhIONaOyG47Wh0x1pv64ptD0qJhHdaZAgAgw8dv1qJy2bIP98js5zfKnrJDNVYKv/VH3VgpHACAXGn0F7bg5tqFa2sEN6q07JBxvd4OAAC8R4Dj4rSUjtxYzfeZ1+ntuh0AAPAWAY5LNOcmduQmmoY1evuCVZ8S5AAA4DECHJdoQrEdc174SM65ayXTVQAAeIgAxyVaLWUXOTkAAHiLAMclWgqu1VJ2isHJyQEAwFsEOC7RPjdaCq7sBjmak6O5OwAAwF0EOC7SPjcPXdZLSorruJ67AwAA7CPA8SDIeWP6UJk1uqvruTsAAMAeAhyPpqvGD2qfMCdHr9fbNXcHAAC4iwAnCzk55u96O2tUAQDgPgKcLOTk6O96PWtTAQDgDRbb9JgGMed1K2F1cQAAMogAJwM0mBnQsWm2dwMAgJzBFBUAAAgdAhwAABA6BDgAACB0CHAAAEDoEOAAAIDQIcABAAChQ4ADAABChwAHAACEDgEOAAAInZzsZByJRIyf5eXl2d4VAABgk3ncNo/jieRkgPPNN98YP9u0aZPtXQEAACkcx4uLixNukxexEwaFTHV1tezevVsaNmwoeXl5rkeXGjjt3LlTioqKJGx4fcEX9tfI6wu+sL/GsL8+L1+jhiwa3LRq1Ury8xNn2eTkCI6+Kaeccoqnz6EfaFj/4SpeX/CF/TXy+oIv7K8x7K/Pq9eYbOTGRJIxAAAIHQIcAAAQOgQ4LissLJRbb73V+BlGvL7gC/tr5PUFX9hfY9hfn19eY04mGQMAgHBjBAcAAIQOAQ4AAAgdAhwAABA6BDgAACB0CHBc8vrrr8uPfvQjo7uidkd+5plnJEzmzp0rffr0Mbo/t2jRQi666CLZvHmzhMVDDz0kPXr0ON6UasCAAfLiiy9KWM2bN8/4d3rjjTdKWNx2223Ga4q+dOnSRcJk165dctlll0nTpk2lbt26csYZZ8g///lPCYt27dqd8BnqZfLkyRIGR48elVmzZkn79u2Nz69jx44yZ84cW+sqBcU333xjfK+0bdvWeI0DBw6Ud999Nyv7kpOdjL1w8OBBOfPMM+Wqq66Sn/zkJxI2r732mvElo0HOkSNH5Fe/+pWMGDFCNm7cKPXr15eg087WetDv3Lmz8WXz2GOPyYUXXijvvfeenH766RIm+mXzyCOPGAFd2OhntWLFiuO/n3RSeL7i9u3bJ4MGDZIhQ4YYwXfz5s1ly5Yt0rhxYwnTv00NAkwffvihnHfeeXLxxRdLGNx1113GyZR+v+i/VQ1Or7zySqMz7w033CBhcPXVVxuf21//+lfjhH/hwoUyfPhw41jRunXrzO6MlonDXfq2Pv3005Ew++KLL4zX+dprr0XCqnHjxpE///nPkTD55ptvIp07d44sX7488sMf/jDy85//PBIWt956a+TMM8+MhNX06dMj55xzTiSX6L/Pjh07RqqrqyNhMHr06MhVV11V47qf/OQnkXHjxkXCoKKiIlKrVq3I0qVLa1zfq1evyH//939nfH+YokJKysrKjJ9NmjSRsNEzyCVLlhijcjpVFSY6Cjd69GjjjCqMdERDzxo7dOgg48aNkx07dkhYPPfcc3L22Wcboxk6TdyzZ0/505/+JGF1+PBh4+xfR8XdXhQ5W3S65uWXX5aPP/7Y+H39+vXyxhtvyL//+79LGBw5csT4/qxTp06N63WqSl9npoVn/BYZXY1d51h1uLx79+4SFh988IER0Bw6dEgaNGggTz/9tHTr1k3CQoO2tWvXZm0+3Gv9+vWTBQsWyGmnnSZ79uyR2bNny7/9278Zw+WaOxZ0n3zyiTG9cdNNNxlTxPo56rRG7dq15YorrpCw0TzG/fv3y/jx4yUsZsyYYayyrblhtWrVMoKBO+64wwjGw6Bhw4bGd6jmFXXt2lVOPvlkeeKJJ2T16tXSqVOnzO9QxseMckDYp6iuueaaSNu2bSM7d+6MhEllZWVky5YtkX/+85+RGTNmRJo1axbZsGFDJAx27NgRadGiRWT9+vXHrwvbFFWsffv2RYqKikIzzVhQUBAZMGBAjeuuv/76SP/+/SNhNGLEiMgFF1wQCZMnnngicsoppxg/33///cjjjz8eadKkSWTBggWRsNi6dWvk3HPPNY6DOl3Vp08fYwquS5cuGd8XAhwPhDnAmTx5svEH+sknn0TCbtiwYZFJkyZFwkD/PZpfOOZFf8/LyzP+/8iRI5EwOvvss41gNQxOPfXUyIQJE2pc94c//CHSqlWrSNhs3749kp+fH3nmmWciYaLfnQ888ECN6+bMmRM57bTTImFz4MCByO7du43//+lPfxoZNWpUxveBHBzYonHblClTjGmblStXGmWOuTAVV1lZKWEwbNgwYwpu3bp1xy+az6FD4/r/OlweNgcOHJBt27ZJy5YtJQx0Sji2NYPmcmg5btjMnz/fyDPSfLEwqaiokPz8modd/dvT75qwqV+/vvG3p9V/L730klGVmmnk4Lj4Zbp169bjv3/66afGgUOTcE899VQJQ3Lq4sWL5dlnnzXmWUtLS43rtbxRE8iCbubMmUain35W2sdBX+urr75q/GGGgX5msflS+gWk/VTCkkf1i1/8wuhFpQf83bt3GysZ68Fj7NixEgZTp041klTvvPNO+elPfyrvvPOO/PGPfzQuYaIHew1wNK8oTGX+Sv99as6Nfs9ombi2objnnnuMROqweOmll4wTYs2F02PiL3/5SyPnSMvhMy7jY0Yh9corrxhD/rGXK664IhIGVq9NL/Pnz4+EgZZual5R7dq1I82bNzemp/7xj39EwixsOTg/+9nPIi1btjQ+w9atWxu/az5AmDz//POR7t27RwoLC42chj/+8Y+RsHnppZeM75bNmzdHwqa8vNz4m9Ppxjp16kQ6dOhglE9r/l9YPPnkk8br0r/DkpISI61h//79WdmXPP1P5sMqAAAA75CDAwAAQocABwAAhA4BDgAACB0CHAAAEDoEOAAAIHQIcAAAQOgQ4AAAgNAhwAEAAKFDgAMAAEKHAAcAAIQOAQ4AAAgdAhwAACBh8/8DFKB7dJjQ6zoAAAAASUVORK5CYII=", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(dataset[0], dataset[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Как видно из диаграммы рассеяния, данные представляют собой кривую насыщения (A - B*exp(-kx)). " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Подготовим данные" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Разделим датасет на обучающую и тестовую выборку в соотношении 4:1" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "X_train, X_test, y_train, y_test = train_test_split(dataset[0].to_frame(), dataset[1], test_size=0.2, random_state=42)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Посмотрим на работу линейной регрессии" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Обучим модель Linear regression" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "LinearRegression()" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_regression = LinearRegression()\n", + "\n", + "model_regression.fit(X_train, y_train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Оценим работу" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "train_predict_regression = model_regression.predict(X_train)\n", + "test_predict_regression = model_regression.predict(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(dataset[0], dataset[1], color='blue', label='Начальные данные')\n", + "plt.scatter(X_test, test_predict_regression, color='red', label='Предсказанные данные')\n", + "plt.xlabel('X')\n", + "plt.ylabel('Y')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Метрика: MSE MAE\n", + "Train 8.130377816703561 2.353069764836676\n", + "Test 7.047462514179974 2.079107800557874\n" + ] + } + ], + "source": [ + "# Расчет метрик\n", + "train_mse_regression = mean_squared_error(y_train, train_predict_regression)\n", + "train_mae_regression = mean_absolute_error(y_train, train_predict_regression)\n", + "\n", + "test_mse_regression = mean_squared_error(y_test, test_predict_regression)\n", + "test_mae_regression = mean_absolute_error(y_test, test_predict_regression)\n", + "\n", + "\n", + "\n", + "print('Метрика: MSE MAE')\n", + "print('Train', train_mse_regression, train_mae_regression)\n", + "print('Test', test_mse_regression, test_mae_regression)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Вывод:\n", + "Как видно из диаграммы рассеяния, линейная регрессия плохо подходит для данного набора данных.\n", + "Значения MSE (8.13 / 7.04) и MAE (2.35 / 2.07) достаточно высоки, что свидетельствует о значительных ошибках в предсказаниях модели, что логично, ведь простая линейная регрессия пытается аппроксимировать кривую насыщения прямой линией." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Улучшение бейзлайна" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Т. к. данные имеют зависимость в виде кривой насыщения, попробуем создать линейные признаки, чтобы линейная регрессия могла их использовать" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.preprocessing import FunctionTransformer\n", + "from sklearn.pipeline import Pipeline\n", + "from sklearn.model_selection import GridSearchCV" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Лучший параметр k подобран автоматически через GridSearchCV.\n", + "A = 0.5773568368488715\n", + "B = 37.66311497454749\n" + ] + } + ], + "source": [ + "# Функция для создания признака exp(-k*x)\n", + "def exp_feature(x, k=1.0):\n", + " return np.exp(-k * x)\n", + "\n", + "# Pipeline с трансформером и линейной регрессией\n", + "pipeline = Pipeline([\n", + " (\"exp\", FunctionTransformer(func=lambda X: exp_feature(X, k=1.0), validate=False)),\n", + " (\"linreg\", LinearRegression())\n", + "])\n", + "\n", + "# Сеточный поиск по k\n", + "param_grid = {\"exp__func\": [lambda X, k=k: exp_feature(X, k) for k in np.linspace(0.01, 2, 200)]}\n", + "grid = GridSearchCV(pipeline, param_grid, scoring='neg_mean_squared_error', cv=5)\n", + "grid.fit(X_train, y_train)\n", + "\n", + "best_model = grid.best_estimator_\n", + "print(\"Лучший параметр k подобран автоматически через GridSearchCV.\")\n", + "\n", + "# Извлечение коэффициентов\n", + "A = best_model.named_steps[\"linreg\"].intercept_\n", + "B = -best_model.named_steps[\"linreg\"].coef_[0]\n", + "print(\"A =\", A)\n", + "print(\"B =\", B)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Оценим работу" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "train_predict_regression = A - B * best_model.named_steps[\"exp\"].transform(X_train)\n", + "test_predict_regression = A - B * best_model.named_steps[\"exp\"].transform(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(dataset[0], dataset[1], color='blue', label='Начальные данные')\n", + "plt.scatter(X_test, test_predict_regression, color='red', label='Предсказанные данные')\n", + "plt.xlabel('X')\n", + "plt.ylabel('Y')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Метрика: MSE MAE\n", + "Train 1.3371825755537106 0.9272723524863202\n", + "Test 1.251725088637151 0.9121469428966027\n" + ] + } + ], + "source": [ + "# Расчет метрик\n", + "train_mse_regression = mean_squared_error(y_train, train_predict_regression)\n", + "train_mae_regression = mean_absolute_error(y_train, train_predict_regression)\n", + "\n", + "test_mse_regression = mean_squared_error(y_test, test_predict_regression)\n", + "test_mae_regression = mean_absolute_error(y_test, test_predict_regression)\n", + "\n", + "\n", + "\n", + "print('Метрика: MSE MAE')\n", + "print('Train', train_mse_regression, train_mae_regression)\n", + "print('Test', test_mse_regression, test_mae_regression)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Вывод:\n", + "Как видно из диаграммы рассеяния, этот подход лучше работает с предоставленными данными.\n", + "Ошибки уменьшились в несколько раз, что показывает значительное улучшение качества модели. Учет экспоненциального признака и подбор оптимального параметра k позволяют построить насыщающую кривую, которая гораздо точнее описывает данные." + ] + } + ], + "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": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}