{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Объекты вокруг земли\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Проблемная область: космические объекты и их угроза для Земли\n", "\n", "Объект наблюдения: астероиды и другие малые тела Солнечной системы\n", "\n", "Атрибуты: имя объекта, минимальный и максимальный оценочные диаметры, относительная скорость, расстояние промаха, орбитальное тело, объекты программы \"Сентри\", абсолютная звездная величина, опасность\n", "\n", "Пример бизнес-цели: \n", "\n", " 1. Разработка и продажа страховых продуктов для космических рисков. Цель технического проекта: разработка системы оценки рисков и ценообразования для страховых продуктов, защищающих от космических угроз.\n", "\n", " 2. Разработка и продажа технологий для мониторинга и предотвращения космических угроз. Цель технического проекта: создание системы мониторинга и прогнозирования траекторий небесных тел для предотвращения космических угроз.\n", "\n", " 3. Образовательные программы и сервисы. Цель технического проекта: разработка интерактивных образовательных материалов и сервисов, основанных на данных о небесных телах.\n", "\n", "Актуальность: Исследования астероидов и разработка технологий для их отклонения не только помогают защитить Землю от потенциальных угроз, но и стимулируют научные открытия в различных областях, включая астрономию, физику, инженерию и образование. Эта тема имеет важное значение для будущего нашей планеты и человечества в целом." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['id', 'name', 'est_diameter_min', 'est_diameter_max',\n", " 'relative_velocity', 'miss_distance', 'orbiting_body', 'sentry_object',\n", " 'absolute_magnitude', 'hazardous'],\n", " dtype='object')\n" ] } ], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "# вывод всех столбцов\n", "df = pd.read_csv(\"..//static//csv//neo.csv\")\n", "print(df.columns)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Проверяем на выбросы" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Количество выбросов в столбце 'relative_velocity': 1574\n", "Количество выбросов в столбце 'miss_distance': 0\n", "Количество выбросов в столбце 'absolute_magnitude': 101\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "# Выбираем столбцы для анализа\n", "columns_to_check = ['relative_velocity', 'miss_distance', 'absolute_magnitude']\n", "\n", "# Функция для подсчета выбросов\n", "def count_outliers(df, columns):\n", " outliers_count = {}\n", " for col in columns:\n", " Q1 = df[col].quantile(0.25)\n", " Q3 = df[col].quantile(0.75)\n", " IQR = Q3 - Q1\n", " lower_bound = Q1 - 1.5 * IQR\n", " upper_bound = Q3 + 1.5 * IQR\n", " \n", " # Считаем количество выбросов\n", " outliers = df[(df[col] < lower_bound) | (df[col] > upper_bound)]\n", " outliers_count[col] = len(outliers)\n", " \n", " return outliers_count\n", "\n", "# Подсчитываем выбросы\n", "outliers_count = count_outliers(df, columns_to_check)\n", "\n", "# Выводим количество выбросов для каждого столбца\n", "for col, count in outliers_count.items():\n", " print(f\"Количество выбросов в столбце '{col}': {count}\")\n", " \n", "# Создаем гистограммы\n", "plt.figure(figsize=(15, 10))\n", "for i, col in enumerate(columns_to_check, 1):\n", " plt.subplot(2, 3, i)\n", " sns.histplot(df[col], kde=True)\n", " plt.title(f'Histogram of {col}')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "В столбцах 'relative_velocity'и 'absolute_magnitude' присутствуют выбросы. Теперь можно очистить их от выбросов" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Количество выбросов в столбце 'relative_velocity': 248\n", "Количество выбросов в столбце 'absolute_magnitude': 0\n", "Количество удаленных строк: 265\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "# Выбираем столбцы для анализа\n", "columns_to_check = ['relative_velocity', 'absolute_magnitude']\n", "\n", "# Функция для подсчета выбросов\n", "def count_outliers(df, columns):\n", " outliers_count = {}\n", " for col in columns:\n", " Q1 = df[col].quantile(0.25)\n", " Q3 = df[col].quantile(0.75)\n", " IQR = Q3 - Q1\n", " lower_bound = Q1 - 1.5 * IQR\n", " upper_bound = Q3 + 1.5 * IQR\n", " \n", " # Считаем количество выбросов\n", " outliers = df[(df[col] < lower_bound) | (df[col] > upper_bound)]\n", " outliers_count[col] = len(outliers)\n", " \n", " return outliers_count\n", "\n", "# Подсчитываем выбросы\n", "outliers_count = count_outliers(df, columns_to_check)\n", "\n", "# Выводим количество выбросов для каждого столбца\n", "for col, count in outliers_count.items():\n", " print(f\"Количество выбросов в столбце '{col}': {count}\")\n", " \n", "# Выбираем столбцы для очистки\n", "columns_to_clean = ['relative_velocity', 'absolute_magnitude']\n", "\n", "# Функция для удаления выбросов\n", "def remove_outliers(df, columns):\n", " for col in columns:\n", " Q1 = df[col].quantile(0.25)\n", " Q3 = df[col].quantile(0.75)\n", " IQR = Q3 - Q1\n", " lower_bound = Q1 - 1.5 * IQR\n", " upper_bound = Q3 + 1.5 * IQR\n", " \n", " # Удаляем строки, содержащие выбросы\n", " df = df[(df[col] >= lower_bound) & (df[col] <= upper_bound)]\n", " \n", " return df\n", "\n", "# Удаляем выбросы\n", "df_cleaned = remove_outliers(df, columns_to_clean)\n", "\n", "# Выводим количество удаленных строк\n", "print(f\"Количество удаленных строк: {len(df) - len(df_cleaned)}\")\n", "\n", "# Создаем гистограммы для очищенных данных\n", "plt.figure(figsize=(15, 6))\n", "\n", "# Гистограмма для relative_velocity\n", "plt.subplot(1, 2, 1)\n", "sns.histplot(df_cleaned['relative_velocity'], kde=True)\n", "plt.title('Histogram of Relative Velocity (Cleaned)')\n", "plt.xlabel('Relative Velocity')\n", "plt.ylabel('Frequency')\n", "\n", "# Гистограмма для absolute_magnitude\n", "plt.subplot(1, 2, 2)\n", "sns.histplot(df_cleaned['absolute_magnitude'], kde=True)\n", "plt.title('Histogram of Absolute Magnitude (Cleaned)')\n", "plt.xlabel('Absolute Magnitude')\n", "plt.ylabel('Frequency')\n", "\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# Сохраняем очищенный датасет\n", "df_cleaned.to_csv(\"..//static//csv//neo.csv\", index=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Можно заметить, что выбросов стало меньше" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Количество пропущенных значений в каждом столбце:\n", "id 0\n", "name 0\n", "est_diameter_min 0\n", "est_diameter_max 0\n", "relative_velocity 0\n", "miss_distance 0\n", "orbiting_body 0\n", "sentry_object 0\n", "absolute_magnitude 0\n", "hazardous 0\n", "dtype: int64\n" ] } ], "source": [ "import pandas as pd\n", "\n", "# Проверка на пропущенные значения\n", "missing_values = df.isnull().sum()\n", "\n", "# Вывод результатов\n", "print(\"Количество пропущенных значений в каждом столбце:\")\n", "print(missing_values)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Пропущенных значений в датасете нет. Можно перейти к созданию выборок" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Размер обучающей выборки: (53494, 9)\n", "Размер контрольной выборки: (17832, 9)\n", "Размер тестовой выборки: (17832, 9)\n" ] } ], "source": [ "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", "\n", "# Разделение на признаки (X) и целевую переменную (y)\n", "# Предположим, что 'hazardous' - это целевая переменная\n", "X = df.drop('hazardous', axis=1)\n", "y = df['hazardous']\n", "\n", "# Разбиение на обучающую и остальную выборку (контрольную + тестовую)\n", "X_train, X_rem, y_train, y_rem = train_test_split(X, y, train_size=0.6, random_state=42)\n", "\n", "# Разбиение остатка на контрольную и тестовую выборки\n", "X_val, X_test, y_val, y_test = train_test_split(X_rem, y_rem, test_size=0.5, random_state=42)\n", "\n", "# Вывод размеров выборок\n", "print(\"Размер обучающей выборки:\", X_train.shape)\n", "print(\"Размер контрольной выборки:\", X_val.shape)\n", "print(\"Размер тестовой выборки:\", X_test.shape)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Распределение классов в обучающей выборке:\n", "hazardous\n", "False 0.905989\n", "True 0.094011\n", "Name: proportion, dtype: float64\n", "\n", "Распределение классов в контрольной выборке:\n", "hazardous\n", "False 0.905956\n", "True 0.094044\n", "Name: proportion, dtype: float64\n", "\n", "Распределение классов в тестовой выборке:\n", "hazardous\n", "False 0.906012\n", "True 0.093988\n", "Name: proportion, dtype: float64\n" ] } ], "source": [ "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", "\n", "# Разделение на признаки (X) и целевую переменную (y)\n", "X = df.drop('hazardous', axis=1)\n", "y = df['hazardous']\n", "\n", "# Разбиение на обучающую и остальную выборку (контрольную + тестовую)\n", "X_train, X_rem, y_train, y_rem = train_test_split(X, y, train_size=0.6, random_state=42, stratify=y)\n", "\n", "# Разбиение остатка на контрольную и тестовую выборки\n", "X_val, X_test, y_val, y_test = train_test_split(X_rem, y_rem, test_size=0.5, random_state=42, stratify=y_rem)\n", "\n", "# Функция для анализа сбалансированности\n", "def analyze_balance(y_train, y_val, y_test):\n", " print(\"Распределение классов в обучающей выборке:\")\n", " print(y_train.value_counts(normalize=True))\n", " \n", " print(\"\\nРаспределение классов в контрольной выборке:\")\n", " print(y_val.value_counts(normalize=True))\n", " \n", " print(\"\\nРаспределение классов в тестовой выборке:\")\n", " print(y_test.value_counts(normalize=True))\n", "\n", "# Анализ сбалансированности\n", "analyze_balance(y_train, y_val, y_test)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Выборки хорошо сбалансированы и не нуждаются в корректировках" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Диабет у индейцев Пима" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Проблемная область: медицина и эпидемиология\n", "\n", "Объект наблюдения: женщины индейского племени Пима, проживающие вблизи Финикса, штат Аризона, США\n", "\n", "Атрибуты: беременность, глюкоза, артериальное давление, толщина кожи, инсулин, индекс массы тела, родословная диабета, возраст, исход\n", "\n", "Пример бизнес-цели: \n", "\n", " 1. Повышение эффективности скрининга диабета. Цель технического проекта: Разработать и обучить модель машинного обучения с точностью предсказания не менее 85% для автоматизированного скрининга диабета на основе данных датасета \"Диабет у индейцев Пима\".\n", "\n", " 2. Снижение медицинских расходов. Цель технического проекта: Оптимизировать модель прогнозирования таким образом, чтобы минимизировать количество ложноотрицательных результатов (пациенты с диабетом, которые не были выявлены), что позволит снизить затраты на лечение осложнений.\n", "\n", " 3. Повышение качества жизни пациентов. Цель технического проекта: Разработать интерфейс для модели, который будет предоставлять пациентам персонализированные рекомендации по профилактике и лечению диабета на основе их индивидуальных рисков, определенных моделью." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin',\n", " 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'],\n", " dtype='object')\n" ] } ], "source": [ "import pandas as pd \n", "df = pd.read_csv(\"..//static//csv//diabetes.csv\")\n", "print(df.columns)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Проверяем на наличие выбросов" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Количество выбросов в столбце 'Pregnancies': 4\n", "Количество выбросов в столбце 'Glucose': 5\n", "Количество выбросов в столбце 'BloodPressure': 45\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "df = pd.read_csv(\"..//static//csv//diabetes.csv\")\n", "\n", "# Выбираем столбцы для анализа\n", "columns_to_check = ['Pregnancies', 'Glucose', 'BloodPressure']\n", "\n", "# Функция для подсчета выбросов\n", "def count_outliers(df, columns):\n", " outliers_count = {}\n", " for col in columns:\n", " Q1 = df[col].quantile(0.25)\n", " Q3 = df[col].quantile(0.75)\n", " IQR = Q3 - Q1\n", " lower_bound = Q1 - 1.5 * IQR\n", " upper_bound = Q3 + 1.5 * IQR\n", " \n", " # Считаем количество выбросов\n", " outliers = df[(df[col] < lower_bound) | (df[col] > upper_bound)]\n", " outliers_count[col] = len(outliers)\n", " \n", " return outliers_count\n", "\n", "# Подсчитываем выбросы\n", "outliers_count = count_outliers(df, columns_to_check)\n", "\n", "# Выводим количество выбросов для каждого столбца\n", "for col, count in outliers_count.items():\n", " print(f\"Количество выбросов в столбце '{col}': {count}\")\n", " \n", "# Создаем гистограммы\n", "plt.figure(figsize=(15, 10))\n", "for i, col in enumerate(columns_to_check, 1):\n", " plt.subplot(2, 3, i)\n", " sns.histplot(df[col], kde=True)\n", " plt.title(f'Histogram of {col}')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Можем заметить, что количество выбросов очень мало. Сделаем очистку от выбросов для столцба 'BloodPressure'" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Количество удаленных строк: 45\n", "Количество выбросов в столбце 'BloodPressure': 4\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", " \n", "# Выбираем столбцы для очистки\n", "columns_to_clean = ['BloodPressure']\n", "\n", "# Функция для удаления выбросов\n", "def remove_outliers(df, columns):\n", " for col in columns:\n", " Q1 = df[col].quantile(0.25)\n", " Q3 = df[col].quantile(0.75)\n", " IQR = Q3 - Q1\n", " lower_bound = Q1 - 1.5 * IQR\n", " upper_bound = Q3 + 1.5 * IQR\n", " \n", " # Удаляем строки, содержащие выбросы\n", " df = df[(df[col] >= lower_bound) & (df[col] <= upper_bound)]\n", " \n", " return df\n", "\n", "# Удаляем выбросы\n", "df_cleaned = remove_outliers(df, columns_to_clean)\n", "\n", "# Выводим количество удаленных строк\n", "print(f\"Количество удаленных строк: {len(df) - len(df_cleaned)}\")\n", "\n", "df = df_cleaned\n", "\n", "# Функция для подсчета выбросов\n", "def count_outliers(df, columns):\n", " outliers_count = {}\n", " for col in columns:\n", " Q1 = df[col].quantile(0.25)\n", " Q3 = df[col].quantile(0.75)\n", " IQR = Q3 - Q1\n", " lower_bound = Q1 - 1.5 * IQR\n", " upper_bound = Q3 + 1.5 * IQR\n", " \n", " # Считаем количество выбросов\n", " outliers = df[(df[col] < lower_bound) | (df[col] > upper_bound)]\n", " outliers_count[col] = len(outliers)\n", " \n", " return outliers_count\n", "\n", "# Подсчитываем выбросы\n", "outliers_count = count_outliers(df, columns_to_clean)\n", "\n", "# Выводим количество выбросов для каждого столбца\n", "for col, count in outliers_count.items():\n", " print(f\"Количество выбросов в столбце '{col}': {count}\")\n", " \n", "\n", "# Создаем гистограммы для очищенных данных\n", "plt.figure(figsize=(15, 6))\n", "\n", "# Гистограмма для relative_velocity\n", "plt.subplot(1, 2, 1)\n", "sns.histplot(df_cleaned['BloodPressure'], kde=True)\n", "plt.title('Histogram of Blood Pressure (Cleaned)')\n", "plt.xlabel('Blood Pressure')\n", "plt.ylabel('Frequency')\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Проверка на пропущенные значения" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Количество пропущенных значений в каждом столбце:\n", "Pregnancies 0\n", "Glucose 0\n", "BloodPressure 0\n", "SkinThickness 0\n", "Insulin 0\n", "BMI 0\n", "DiabetesPedigreeFunction 0\n", "Age 0\n", "Outcome 0\n", "dtype: int64\n" ] } ], "source": [ "import pandas as pd\n", "\n", "# Проверка на пропущенные значения\n", "missing_values = df.isnull().sum()\n", "\n", "# Вывод результатов\n", "print(\"Количество пропущенных значений в каждом столбце:\")\n", "print(missing_values)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Пропущенных значений нет. Делаем разбиение на выборки" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Размер обучающей выборки: 433\n", "Размер контрольной выборки: 145\n", "Размер тестовой выборки: 145\n" ] } ], "source": [ "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", "\n", "# Разделение на признаки (X) и целевую переменную (y)\n", "X = df.drop('Outcome', axis=1) # Признаки\n", "y = df['Outcome'] # Целевая переменная\n", "\n", "# Разбиение на обучающую и оставшуюся часть (контрольная + тестовая)\n", "X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.4, random_state=42)\n", "\n", "# Разбиение оставшейся части на контрольную и тестовую выборки\n", "X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)\n", "\n", "# Вывод размеров выборок\n", "print(\"Размер обучающей выборки:\", X_train.shape[0])\n", "print(\"Размер контрольной выборки:\", X_val.shape[0])\n", "print(\"Размер тестовой выборки:\", X_test.shape[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Разбивка на выборки сделана, проведем проверку на сбалансированность выборок" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Сбалансированность обучающей выборки:\n", "Outcome\n", "0 0.658199\n", "1 0.341801\n", "Name: proportion, dtype: float64\n", "\n", "Сбалансированность контрольной выборки:\n", "Outcome\n", "0 0.655172\n", "1 0.344828\n", "Name: proportion, dtype: float64\n", "\n", "Сбалансированность тестовой выборки:\n", "Outcome\n", "0 0.662069\n", "1 0.337931\n", "Name: proportion, dtype: float64\n" ] } ], "source": [ "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", "\n", "# Разделение на признаки (X) и целевую переменную (y)\n", "X = df.drop('Outcome', axis=1) # Признаки\n", "y = df['Outcome'] # Целевая переменная\n", "\n", "# Разбиение на обучающую и оставшуюся часть (контрольная + тестовая)\n", "X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.4, random_state=42, stratify=y)\n", "\n", "# Разбиение оставшейся части на контрольную и тестовую выборки\n", "X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42, stratify=y_temp)\n", "\n", "# Функция для проверки сбалансированности выборок\n", "def check_balance(y_train, y_val, y_test):\n", " print(\"Сбалансированность обучающей выборки:\")\n", " print(y_train.value_counts(normalize=True))\n", " \n", " print(\"\\nСбалансированность контрольной выборки:\")\n", " print(y_val.value_counts(normalize=True))\n", " \n", " print(\"\\nСбалансированность тестовой выборки:\")\n", " print(y_test.value_counts(normalize=True))\n", "\n", "# Проверка сбалансированности\n", "check_balance(y_train, y_val, y_test)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Выборки относительно сбалансированы, но не идеально. Сделаем приращение данных методом выборки с избытком (oversampling)" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Сбалансированность обучающей выборки после SMOTE:\n", "Outcome\n", "0 0.5\n", "1 0.5\n", "Name: proportion, dtype: float64\n", "Сбалансированность обучающей выборки:\n", "Outcome\n", "0 0.5\n", "1 0.5\n", "Name: proportion, dtype: float64\n", "\n", "Сбалансированность контрольной выборки:\n", "Outcome\n", "0 0.655172\n", "1 0.344828\n", "Name: proportion, dtype: float64\n", "\n", "Сбалансированность тестовой выборки:\n", "Outcome\n", "0 0.662069\n", "1 0.337931\n", "Name: proportion, dtype: float64\n" ] } ], "source": [ "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", "from imblearn.over_sampling import SMOTE\n", "\n", "# Разделение на признаки (X) и целевую переменную (y)\n", "X = df.drop('Outcome', axis=1) # Признаки\n", "y = df['Outcome'] # Целевая переменная\n", "\n", "# Разбиение на обучающую и оставшуюся часть (контрольная + тестовая)\n", "X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.4, random_state=42, stratify=y)\n", "\n", "# Разбиение оставшейся части на контрольную и тестовую выборки\n", "X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42, stratify=y_temp)\n", "\n", "# Применение SMOTE для балансировки обучающей выборки\n", "smote = SMOTE(random_state=42)\n", "X_train_resampled, y_train_resampled = smote.fit_resample(X_train, y_train)\n", "\n", "# Функция для проверки сбалансированности выборок\n", "def check_balance(y_train, y_val, y_test):\n", " print(\"Сбалансированность обучающей выборки:\")\n", " print(y_train.value_counts(normalize=True))\n", " \n", " print(\"\\nСбалансированность контрольной выборки:\")\n", " print(y_val.value_counts(normalize=True))\n", " \n", " print(\"\\nСбалансированность тестовой выборки:\")\n", " print(y_test.value_counts(normalize=True))\n", "\n", "# Проверка сбалансированности после SMOTE\n", "print(\"Сбалансированность обучающей выборки после SMOTE:\")\n", "print(y_train_resampled.value_counts(normalize=True))\n", "\n", "# Проверка сбалансированности контрольной и тестовой выборок\n", "check_balance(y_train_resampled, y_val, y_test)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Покемоны" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Проблемная область: серия игр \"Pokémon\"\n", "\n", "Объект наблюдения: покемоны - вымышленные существа, обладающие уникальными характеристиками и способностями\n", "\n", "Атрибуты: изображение, индекс, имя, тип 1, тип 2, показатель силы, очки здоровья, атака, защита, специальная атака, специальная защита, скорость\n", "\n", "Пример бизнес-цели: \n", "\n", " 1. Разработка рекомендательной системы для выбора покемона в игре. Цель технического проекта: Разработать алгоритм машинного обучения, который будет анализировать характеристики покемонов и предлагать игрокам наиболее подходящих покемонов для выбора в зависимости от их стиля игры, предпочтений и целей.\n", "\n", " 2. Анализ сильных и слабых сторон покемонов для оптимизации баланса игры. Цель технического проекта: Провести статистический анализ данных о покемонах для выявления дисбаланса в игре, такого как слишком сильные или слабые типы покемонов, несбалансированные характеристики и т.д.\n", "\n", " 3. Создание веб-приложения для поиска и сравнения покемонов. Цель технического проекта: Разработать веб-приложение, которое позволит пользователям искать покемонов по различным критериям (название, тип, характеристики) и сравнивать их между собой." ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['Image', 'Index', 'Name', 'Type 1', 'Type 2', 'Total', 'HP', 'Attack',\n", " 'Defense', 'SP. Atk.', 'SP. Def', 'Speed'],\n", " dtype='object')\n" ] } ], "source": [ "import pandas as pd \n", "df = pd.read_csv(\"..//static//csv//pokedex.csv\")\n", "print(df.columns)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Проверка на выбросы" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Количество выбросов в столбце 'HP': 27\n", "Количество выбросов в столбце 'Attack': 13\n", "Количество выбросов в столбце 'Defense': 25\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "df = pd.read_csv(\"..//static//csv//pokedex.csv\")\n", "\n", "# Выбираем числовые столбцы\n", "numeric_columns = ['HP', 'Attack', 'Defense']\n", "\n", "# Выбираем столбцы для анализа\n", "columns_to_check = ['HP', 'Attack', 'Defense']\n", "\n", "# Функция для подсчета выбросов\n", "def count_outliers(df, columns):\n", " outliers_count = {}\n", " for col in columns:\n", " Q1 = df[col].quantile(0.25)\n", " Q3 = df[col].quantile(0.75)\n", " IQR = Q3 - Q1\n", " lower_bound = Q1 - 1.5 * IQR\n", " upper_bound = Q3 + 1.5 * IQR\n", " \n", " # Считаем количество выбросов\n", " outliers = df[(df[col] < lower_bound) | (df[col] > upper_bound)]\n", " outliers_count[col] = len(outliers)\n", " \n", " return outliers_count\n", "\n", "# Подсчитываем выбросы\n", "outliers_count = count_outliers(df, columns_to_check)\n", "\n", "# Выводим количество выбросов для каждого столбца\n", "for col, count in outliers_count.items():\n", " print(f\"Количество выбросов в столбце '{col}': {count}\")\n", " \n", "# Создаем гистограммы\n", "plt.figure(figsize=(15, 10))\n", "for i, col in enumerate(numeric_columns, 1):\n", " plt.subplot(2, 3, i)\n", " sns.histplot(df[col], kde=True)\n", " plt.title(f'Histogram of {col}')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Во всех проверенных столбцах присутствуют выбросы. Удалим их." ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Количество удаленных строк: 0\n", "Количество выбросов в столбце 'HP': 0\n", "Количество выбросов в столбце 'Attack': 0\n", "Количество выбросов в столбце 'Defense': 0\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", " \n", "# Выбираем столбцы для очистки\n", "columns_to_clean = ['HP', 'Attack', 'Defense']\n", "\n", "# Функция для удаления выбросов\n", "def remove_outliers(df, columns):\n", " for col in columns:\n", " Q1 = df[col].quantile(0.25)\n", " Q3 = df[col].quantile(0.75)\n", " IQR = Q3 - Q1\n", " lower_bound = Q1 - 1.5 * IQR\n", " upper_bound = Q3 + 1.5 * IQR\n", " \n", " # Удаляем строки, содержащие выбросы\n", " df = df[(df[col] >= lower_bound) & (df[col] <= upper_bound)]\n", " \n", " return df\n", "\n", "# Удаляем выбросы\n", "df_cleaned = remove_outliers(df, columns_to_clean)\n", "\n", "# Выводим количество удаленных строк\n", "print(f\"Количество удаленных строк: {len(df) - len(df_cleaned)}\")\n", "\n", "df = df_cleaned\n", "\n", "# Выбираем столбцы для анализа\n", "columns_to_check = ['HP', 'Attack', 'Defense']\n", "\n", "# Функция для подсчета выбросов\n", "def count_outliers(df, columns):\n", " outliers_count = {}\n", " for col in columns:\n", " Q1 = df[col].quantile(0.25)\n", " Q3 = df[col].quantile(0.75)\n", " IQR = Q3 - Q1\n", " lower_bound = Q1 - 1.5 * IQR\n", " upper_bound = Q3 + 1.5 * IQR\n", " \n", " # Считаем количество выбросов\n", " outliers = df[(df[col] < lower_bound) | (df[col] > upper_bound)]\n", " outliers_count[col] = len(outliers)\n", " \n", " return outliers_count\n", "\n", "# Подсчитываем выбросы\n", "outliers_count = count_outliers(df, columns_to_check)\n", "\n", "# Выводим количество выбросов для каждого столбца\n", "for col, count in outliers_count.items():\n", " print(f\"Количество выбросов в столбце '{col}': {count}\")\n", " \n", "\n", "# Создаем гистограммы\n", "plt.figure(figsize=(15, 10))\n", "for i, col in enumerate(columns_to_clean, 1):\n", " plt.subplot(2, 3, i)\n", " sns.histplot(df[col], kde=True)\n", " plt.title(f'Histogram of {col}')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Проверка на пропущенные значения" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Количество пропущенных значений в каждом столбце:\n", "Image 0\n", "Index 0\n", "Name 0\n", "Type 1 0\n", "Type 2 526\n", "Total 0\n", "HP 0\n", "Attack 0\n", "Defense 0\n", "SP. Atk. 0\n", "SP. Def 0\n", "Speed 0\n", "dtype: int64\n" ] } ], "source": [ "import pandas as pd\n", "\n", "# Проверка на пропущенные значения\n", "missing_values = df.isnull().sum()\n", "\n", "# Вывод результатов\n", "print(\"Количество пропущенных значений в каждом столбце:\")\n", "print(missing_values)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "В датасете присутствуют пропущенные значения. Удалим их." ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Количество пропущенных значений в каждом столбце после удаления:\n", "Image 0\n", "Index 0\n", "Name 0\n", "Type 1 0\n", "Type 2 0\n", "Total 0\n", "HP 0\n", "Attack 0\n", "Defense 0\n", "SP. Atk. 0\n", "SP. Def 0\n", "Speed 0\n", "dtype: int64\n" ] } ], "source": [ "# Удаление пропущенных значений в столбце 'Type 2'\n", "df = df.dropna(subset=['Type 2'])\n", "\n", "# Проверка на пропущенные значения после удаления\n", "missing_values_after_drop = df.isnull().sum()\n", "\n", "# Вывод результатов после удаления\n", "print(\"\\nКоличество пропущенных значений в каждом столбце после удаления:\")\n", "print(missing_values_after_drop)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Пропущенные значения удалены. Сделаем разбиение для выборки" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Размер обучающей выборки: (378, 11) (378,)\n", "Размер контрольной выборки: (126, 11) (126,)\n", "Размер тестовой выборки: (126, 11) (126,)\n" ] } ], "source": [ "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", "\n", "# Разделение на признаки (X) и целевую переменную (y)\n", "X = df.drop(columns=['Total'])\n", "y = df['Total']\n", "\n", "# Разбиение на обучающую и остальную выборку (60% обучающая, 40% остальная)\n", "X_train, X_rem, y_train, y_rem = train_test_split(X, y, train_size=0.6, random_state=42)\n", "\n", "# Разбиение остальной выборки на контрольную и тестовую (50% контрольная, 50% тестовая)\n", "X_valid, X_test, y_valid, y_test = train_test_split(X_rem, y_rem, test_size=0.5, random_state=42)\n", "\n", "# Вывод размеров выборок\n", "print(\"Размер обучающей выборки:\", X_train.shape, y_train.shape)\n", "print(\"Размер контрольной выборки:\", X_valid.shape, y_valid.shape)\n", "print(\"Размер тестовой выборки:\", X_test.shape, y_test.shape)" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Анализ сбалансированности выборки:\n", "\n", "Обучающая выборка:\n", "count 378.000000\n", "mean 462.941799\n", "std 116.093563\n", "min 185.000000\n", "25% 377.750000\n", "50% 485.000000\n", "75% 535.000000\n", "max 700.000000\n", "Name: Total, dtype: float64\n", "\n", "Контрольная выборка:\n", "count 126.000000\n", "mean 455.753968\n", "std 102.380599\n", "min 198.000000\n", "25% 402.000000\n", "50% 478.000000\n", "75% 520.000000\n", "max 700.000000\n", "Name: Total, dtype: float64\n", "\n", "Тестовая выборка:\n", "count 126.000000\n", "mean 462.547619\n", "std 110.064680\n", "min 205.000000\n", "25% 362.500000\n", "50% 485.000000\n", "75% 530.000000\n", "max 680.000000\n", "Name: Total, dtype: float64\n" ] } ], "source": [ "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", "\n", "# Разделение на признаки (X) и целевую переменную (y)\n", "X = df.drop(columns=['Total'])\n", "y = df['Total']\n", "\n", "# Разбиение на обучающую и остальную выборку (60% обучающая, 40% остальная)\n", "X_train, X_rem, y_train, y_rem = train_test_split(X, y, train_size=0.6, random_state=42)\n", "\n", "# Разбиение остальной выборки на контрольную и тестовую (50% контрольная, 50% тестовая)\n", "X_valid, X_test, y_valid, y_test = train_test_split(X_rem, y_rem, test_size=0.5, random_state=42)\n", "\n", "# Функция для анализа сбалансированности выборки\n", "def analyze_balance(y_train, y_valid, y_test):\n", " print(\"Анализ сбалансированности выборки:\")\n", " \n", " # Описание для обучающей выборки\n", " print(\"\\nОбучающая выборка:\")\n", " print(y_train.describe())\n", " \n", " # Описание для контрольной выборки\n", " print(\"\\nКонтрольная выборка:\")\n", " print(y_valid.describe())\n", " \n", " # Описание для тестовой выборки\n", " print(\"\\nТестовая выборка:\")\n", " print(y_test.describe())\n", "\n", "# Анализ сбалансированности выборки\n", "analyze_balance(y_train, y_valid, y_test)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Выборка сбалансирована" ] } ], "metadata": { "kernelspec": { "display_name": "aimenv", "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": "3.12.5" } }, "nbformat": 4, "nbformat_minor": 2 }