2024-12-21 15:33:58 +04:00

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{
"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: \n",
"1. id: Идентификатор объекта.\n",
"2. name: Название астероида.\n",
"3. est_diameter_min: Оценка минимального диаметра астероида. \n",
"4. est_diameter_max: Оценка максимального диаметра астероида.\n",
"5. relative_velocity: Относительная скорость объекта по отношению к Земле.\n",
"6. miss_distance: Расстояние, на котором объект пройдет мимо Земли.\n",
"7. orbiting_body: Указывает, вокруг какого тела объект может вращаться или к которому он относится. \n",
"8. sentry_object: Указывает, был ли объект зарегистрирован в системе мониторинга угроз (например, в системе Sentry NASA). (Да/Нет)\n",
"9. absolute_magnitude: Абсолютная величина объекта.\n",
"10. hazardous: Указывает, представляет ли объект опасность для Земли. (Да/Нет)\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": 52,
"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(\"data/neo.csv\")\n",
"print(df.columns)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Проверяем на выбросы"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1500x1000 with 3 Axes>"
]
},
"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'] #относительная скорость, дистанция близости, абсолютная величина\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",
"# 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": 54,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Количество выбросов в столбце 'relative_velocity': 1\n",
"Количество выбросов в столбце 'absolute_magnitude': 0\n",
"Количество удаленных строк: 1\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1500x600 with 2 Axes>"
]
},
"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(\"data//neo.csv\", index=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Можно заметить, что выбросов стало меньше"
]
},
{
"cell_type": "code",
"execution_count": 55,
"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": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Размер обучающей выборки: (53307, 9)\n",
"Размер контрольной выборки: (17769, 9)\n",
"Размер тестовой выборки: (17769, 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 (представляет ли объект опасность)\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": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Распределение классов в обучающей выборке:\n",
"hazardous\n",
"False 0.906448\n",
"True 0.093552\n",
"Name: proportion, dtype: float64\n",
"\n",
"Распределение классов в контрольной выборке:\n",
"hazardous\n",
"False 0.90641\n",
"True 0.09359\n",
"Name: proportion, dtype: float64\n",
"\n",
"Распределение классов в тестовой выборке:\n",
"hazardous\n",
"False 0.906466\n",
"True 0.093534\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",
"# Функция анализирует и выводит распределение классов (например, классов опасных и неопасных объектов) для каждой из выборок\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",
"1. Pregnancies: Число беременностей у пациентки.\n",
"2. Glucose: Уровень глюкозы в крови перед тестированием.\n",
"3. BloodPressure: Артериальное давление.\n",
"4. SkinThickness: Толщина кожи в области трицепса. Этот показатель используется для оценки жировых отложений.\n",
"5. Insulin: Уровень инсулина в крови.\n",
"6. BMI (Body Mass Index): Индекс массы тела. Это показатель, рассчитываемый на основе веса и рост, который помогает определить избыточный вес или ожирение.\n",
"7. DiabetesPedigreeFunction: Функция родословной диабета. Этот индекс отражает семейную историю диабета и помогает указать на генетическую предрасположенность к заболеванию.\n",
"8. Age: Возраст пациентки. Вероятность развития диабета увеличивается с возрастом.\n",
"9. Outcome: Результат теста на диабет (0 — отсутствие диабета, 1 — наличие диабета).\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": 58,
"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(\"data//diabetes.csv\")\n",
"print(df.columns)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Проверяем на наличие выбросов"
]
},
{
"cell_type": "code",
"execution_count": null,
"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": {
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",
"text/plain": [
"<Figure size 1500x1000 with 3 Axes>"
]
},
"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(\"data//diabetes.csv\")\n",
"\n",
"# Выбираем столбцы для анализа\n",
"columns_to_check = ['Pregnancies', 'Glucose', 'BloodPressure'] #'Беременности', 'Глюкоза', 'Кровяное давление'\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": null,
"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": [
"<Figure size 1500x600 with 1 Axes>"
]
},
"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",
"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": 61,
"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": null,
"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 (Результат теста на диабет)\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": null,
"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)"
]
},
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"cell_type": "markdown",
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"source": [
"Выборки относительно сбалансированы, но не идеально. Сделаем приращение данных методом выборки с избытком (oversampling)"
]
},
{
"cell_type": "code",
"execution_count": null,
"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": [
"## Магазины"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Проблемная область: Магазины (Розничная торговля и управление запасами)\n",
"\n",
"Объект наблюдения: Розничные магазины и их параметры\n",
"\n",
"Атрибуты:\n",
"\n",
"1. Store ID: Идентификатор магазина.\n",
"2. Store_Area: Площадь магазина.\n",
"3. Items_Available: Общее количество доступных товаров в магазине.\n",
"4. Daily_Customer_Count: Количество клиентов, посещающих магазин ежедневно.\n",
"5. Store_Sales: Общая сумма продаж магазина за день.\n",
"\n",
"Пример бизнес-цели: \n",
"\n",
" 1. Оптимизация управления запасами: Разработка системы управления запасами на основе анализа данных о ежедневном потоке клиентов и продажах. Это позволит сократить издержки на хранение и улучшить уровень обслуживания.\n",
"\n",
" 2. Анализ покупательского поведения: Создание аналитических инструментов для мониторинга поведения клиентов, что позволит адаптировать ассортимент и повысить лояльность покупателей.\n",
"\n",
" 3. Маркетинговые стратегии: Разработка таргетированных маркетинговых кампаний, основанных на данных о продажах и количестве клиентов, для увеличения прибыли магазина.\n",
"\n",
" 4. Расширение сети магазинов: Проведение глубокого анализа показателей рентабельности и клиентского потока для принятия решений о расширении или открытии новых магазин с учетом полученных данных."
]
}
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