2025 lines
1.2 MiB
2025 lines
1.2 MiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# 1 Датасет: NASA - Nearest Earth Objects\n",
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"#### https://www.kaggle.com/datasets/sameepvani/nasa-nearest-earth-objects \n",
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"\n",
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"There is an infinite number of objects in the outer space. Some of them are closer than we think. Even though we might think that a distance of 70,000 Km can not potentially harm us, but at an astronomical scale, this is a very small distance and can disrupt many natural phenomena. These objects/asteroids can thus prove to be harmful. Hence, it is wise to know what is surrounding us and what can harm us amongst those. Thus, this dataset compiles the list of NASA certified asteroids that are classified as the nearest earth object.\n",
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"\n",
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"В космосе находится бесконечное количество объектов. Некоторые из них находятся ближе, чем мы думаем. Хотя мы можем думать, что расстояние в 70 000 км не может потенциально навредить нам, но в астрономических масштабах это очень малое расстояние и может нарушить многие природные явления. Таким образом, эти объекты/астероиды могут оказаться вредными. Следовательно, разумно знать, что нас окружает и что из этого может навредить нам. Таким образом, этот набор данных составляет список сертифицированных NASA астероидов, которые классифицируются как ближайшие к Земле объекты.\n",
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"\n",
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"- Из этого описания очевидно что объектами иследования являются околоземные объекты.\n",
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"- Атрибуты объектов: id, name, est_diameter_min, est_diameter_max, relative_velocity, miss_distance, orbiting_body, sentry_object, absolute_magnitude, hazardous\n",
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"- Очевидная цель этого датасета - это научиться определять опасность объекта автоматически.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"количество колонок: 10\n",
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"колонки: id, name, est_diameter_min, est_diameter_max, relative_velocity, miss_distance, orbiting_body, sentry_object, absolute_magnitude, hazardous\n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"df = pd.read_csv(\"..//static//csv//neo_v2.csv\", sep=\",\")\n",
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"print('количество колонок: ' + str(df.columns.size)) \n",
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"print('колонки: ' + ', '.join(df.columns))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Получение сведений о пропущенных данных\n",
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"\n",
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"Типы пропущенных данных:\n",
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"- None - представление пустых данных в Python\n",
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"- NaN - представление пустых данных в Pandas\n",
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"- '' - пустая строка"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"id 0\n",
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"name 0\n",
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"est_diameter_min 0\n",
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"est_diameter_max 0\n",
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"relative_velocity 0\n",
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"miss_distance 0\n",
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"orbiting_body 0\n",
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"sentry_object 0\n",
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"absolute_magnitude 0\n",
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"hazardous 0\n",
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"dtype: int64\n",
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"\n",
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"id False\n",
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"name False\n",
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"est_diameter_min False\n",
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"est_diameter_max False\n",
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"relative_velocity False\n",
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"miss_distance False\n",
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"orbiting_body False\n",
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"sentry_object False\n",
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"absolute_magnitude False\n",
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"hazardous False\n",
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"dtype: bool\n",
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"\n"
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]
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}
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],
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"source": [
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"# Количество пустых значений признаков\n",
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"print(df.isnull().sum())\n",
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"\n",
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"print()\n",
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"\n",
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"# Есть ли пустые значения признаков\n",
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"print(df.isnull().any())\n",
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"\n",
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"print()\n",
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"\n",
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"# Процент пустых значений признаков\n",
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"for i in df.columns:\n",
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" null_rate = df[i].isnull().sum() / len(df) * 100\n",
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" if null_rate > 0:\n",
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" print(f\"{i} процент пустых значений: %{null_rate:.2f}\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Итог: пропущеных значений нет"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"инфографика на сайте и в datawrangelere показывает, что в столбцах orbiting_body и sentry_object у всех записей одно и тоже значение. Значит эти столбцы можно выкинуть из набора данных."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"количество колонок: 8\n",
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"колонки: id, name, est_diameter_min, est_diameter_max, relative_velocity, miss_distance, absolute_magnitude, hazardous\n"
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]
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}
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],
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"source": [
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"df = df.drop(columns=['orbiting_body'])\n",
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"df = df.drop(columns=['sentry_object'])\n",
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"print('количество колонок: ' + str(df.columns.size)) \n",
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"print('колонки: ' + ', '.join(df.columns))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"я быстро посмотрев данные зашумленности не выявил"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"поля id и name в предсказании не помогут, но я их пока выкидывать не буду"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"посмотрим выбросы и усредним их:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Колонка est_diameter_min:\n",
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" Есть выбросы: Да\n",
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" Количество выбросов: 8306\n",
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" Минимальное значение: 0.0006089126\n",
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" Максимальное значение: 0.32962154705\n",
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" 1-й квартиль (Q1): 0.0192555078\n",
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" 3-й квартиль (Q3): 0.1434019235\n",
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"\n",
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"Колонка est_diameter_max:\n",
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" Есть выбросы: Да\n",
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" Количество выбросов: 8306\n",
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" Минимальное значение: 0.00136157\n",
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" Максимальное значение: 0.7370561859\n",
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" 1-й квартиль (Q1): 0.0430566244\n",
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" 3-й квартиль (Q3): 0.320656449\n",
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"\n",
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"Колонка relative_velocity:\n",
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" Есть выбросы: Да\n",
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" Количество выбросов: 1574\n",
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" Минимальное значение: 203.34643253\n",
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" Максимальное значение: 114380.48061454494\n",
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" 1-й квартиль (Q1): 28619.02064490995\n",
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" 3-й квартиль (Q3): 62923.60463276395\n",
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"\n",
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"Колонка miss_distance:\n",
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" Есть выбросы: Нет\n",
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" Количество выбросов: 0\n",
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" Минимальное значение: 6745.532515957\n",
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" Максимальное значение: 74798651.4521972\n",
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" 1-й квартиль (Q1): 17210820.23576468\n",
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" 3-й квартиль (Q3): 56548996.45139917\n",
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"\n",
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"Колонка absolute_magnitude:\n",
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" Есть выбросы: Да\n",
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" Количество выбросов: 101\n",
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" Минимальное значение: 14.8\n",
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" Максимальное значение: 32.239999999999995\n",
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" 1-й квартиль (Q1): 21.34\n",
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" 3-й квартиль (Q3): 25.7\n",
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"\n"
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]
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}
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],
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"source": [
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"numeric_columns = ['est_diameter_min', 'est_diameter_max', 'relative_velocity', 'miss_distance', 'absolute_magnitude']\n",
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"for column in numeric_columns:\n",
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" if pd.api.types.is_numeric_dtype(df[column]): # Проверяем, является ли колонка числовой\n",
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" q1 = df[column].quantile(0.25) # Находим 1-й квартиль (Q1)\n",
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" q3 = df[column].quantile(0.75) # Находим 3-й квартиль (Q3)\n",
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" iqr = q3 - q1 # Вычисляем межквартильный размах (IQR)\n",
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"\n",
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" # Определяем границы для выбросов\n",
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" lower_bound = q1 - 1.5 * iqr # Нижняя граница\n",
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" upper_bound = q3 + 1.5 * iqr # Верхняя граница\n",
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"\n",
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" # Подсчитываем количество выбросов\n",
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" outliers = df[(df[column] < lower_bound) | (df[column] > upper_bound)]\n",
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" outlier_count = outliers.shape[0]\n",
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"\n",
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" # Устраняем выбросы: заменяем значения ниже нижней границы на саму нижнюю границу, а выше верхней — на верхнюю\n",
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" df[column] = df[column].apply(lambda x: lower_bound if x < lower_bound else upper_bound if x > upper_bound else x)\n",
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"\n",
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" print(f\"Колонка {column}:\")\n",
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" print(f\" Есть выбросы: {'Да' if outlier_count > 0 else 'Нет'}\")\n",
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" print(f\" Количество выбросов: {outlier_count}\")\n",
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" print(f\" Минимальное значение: {df[column].min()}\")\n",
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" print(f\" Максимальное значение: {df[column].max()}\")\n",
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" print(f\" 1-й квартиль (Q1): {q1}\")\n",
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" print(f\" 3-й квартиль (Q3): {q3}\\n\")\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"построим графики в надежде найти какие то зависимости опасности от других колонок"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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dd95BbGws1q1bh99++63aPeiLh4eHeJzx7t27WL58OV599VU0btwYnTp1qnTeh/+KLaNSqeDj44MlS5aUO4+bm1uFy/v4448xa9YsvPbaa5g/fz4cHBwgl8sRHh5erb80g4OD8cUXX+DAgQMYOHAgduzYAS8vL7Rp00YvfT/K1dUV3bp1w44dO/DBBx/gjz/+wPXr17Fw4UK15wNKT45q27Ztuct5dKVnKEaPHo1Jkybh33//RUFBAf744w+sXLmypttSY2JiUu64IAgASvcYvPDCC8jIyMDUqVPh5eUFKysr3LhxA2PGjNH4vKWmpmLUqFF44YUX8OGHH6pNq+q6q7zfmyehoj/6Hz1BxsLCArGxsThy5Aj27duHqKgobN++Hc8//zwOHTpU4Xv5KAZdOcrObCp7E3/99VfcvXsXP/74I7p37y7Wpaamlju/vb09/P39xcc9e/aEq6srNmzYgOnTp6vVTp8+HW3btlX7C/5hTZo0QUJCAoqKih4bhIIgYNq0aRg0aNBjgwAA+vbtC3NzcwQHB6Nr165o0qSJRtC5u7sDAC5duiTuKitz6dIlcXrjxo0BQOPs0uqwsrJSex+7deuGBg0a4NChQ1q9vkc1adIEZ86cQe/evau8e+z7779Hr1698PXXX6uNZ2Zmqu2Srupyu3fvjvr162P79u3o2rUrDh8+LJ6lqo++yzN8+HC8/fbbuHTpErZv3w5LS0v0799f7fkAwMbGRu3918bDn5eyzwQAFBYWIjU1VVxe2XMkJydX+Tkqew+Cg4MRERGBb7/9Fg8ePICZmVmFv1uP9l3eNY5lu/bKXtfTcO7cOVy+fBmbNm3C6NGjxfHo6GiN2gcPHmDw4MGws7PDt99+q7FHpqrrrvK4u7sjJiYGOTk5an/gPPp+Pfyzf1RKSgocHR1hZWUFoHQdWd5Zm+VtOcvlcvTu3Ru9e/fGkiVL8PHHH2PGjBk4cuSI1p8do951WdE+46+++goymUxcsZcFXtlfXEDpL+7q1au1ep6y4Hz0VPD4+Hjs2bMHn3zySYW/vEOGDMGdO3fK/av04X4A4LvvvsPZs2fLPXuzPKamphg9ejTOnj2L1157rdya9u3bw8nJCWvXrlXr/8CBA7h48SKCgoIAlO4K7d69O9avX69xdumjfeqq7K9Pbf+Ke9SwYcNw48aNcs9GffDgQaW7VUxMTDRex86dOzUusSj7Ra7o1OtHyeVyDB06FD///DO++eYbFBcXa6yYq9N3eYYMGQITExN8++232LlzJ1588UWxbwDw9fVFkyZN8OmnnyInJ0dj/kcvS3mYv78/FAoFli9frvZ+ff3118jKyhI/L+3atYOnpyeWLl2q8V497vNiZWVV4fvr6OiIvn37YsuWLdi6dSv69OlT4bHxh/Xr1w+JiYlqe0Jyc3Px5ZdfwsPDQ+2Y15NW3vpGEAS1yy7KvPnmm7h8+TJ27dol7gJ93LKqsu4CSt+b4uJirFmzRhwrKSnBihUr1Orq16+Ptm3bYtOmTWo/n+TkZBw6dAj9+vUTx5o0aYKsrCycPXtWHPvvv/80Lg/JyMjQ6KdsL0NVLq0x6i26kSNHwsvLC4MGDYKzszNu376NAwcO4MiRI5gxYwZ8fHwAlJ4ebm9vj5CQEEycOBEymQzffPNNhb+Q6enp2LJlCwDgzp07+OKLL2BqaqpxzOzQoUN44YUXKv2rZPTo0di8eTMiIiKQmJiIbt26ITc3F7/88gvefvtt8QSCsuWNGzeu3H3kFZk/fz7ef//9cn9JgNLT4BcuXIjQ0FD06NEDI0aMEC8v8PDwULs8Yfny5ejatSvatWuH8ePHw9PTE9euXcO+fft0uiVWTk4OoqKiAJR+4JcvXw4zMzNxZVlVr776Knbs2IE333wTR44cQZcuXVBSUoKUlBTs2LEDBw8eRPv27cud98UXX8S8efMQGhqKzp0749y5c9i6davaVgtQ+gtsZ2eHtWvXok6dOrCyskLHjh3h6elZYV/Dhw/HihUrMGfOHPj4+GhcYlGdvsvj5OSEXr16YcmSJbh//75GsMrlcqxbtw59+/ZFy5YtERoaigYNGuDGjRs4cuQIbGxs8PPPP5e77Hr16mH69OmYO3cu+vTpg5deegmXLl3C6tWr8dxzz4nHhuRyOdasWYP+/fujbdu2CA0NRf369ZGSkoLz58/j4MGDFfbv6+uLX375BUuWLIGrqys8PT3RsWNHcfro0aMxdOhQAKWfb21MmzYN3377Lfr27YuJEyfCwcEBmzZtQmpqKn744YcKT+p6Ery8vNCkSRO89957uHHjBmxsbPDDDz+oHcMDgH379mHz5s0YMmQIzp49qxYa1tbWGDhwYJXXXeXp378/unTpgmnTpuHatWvw9vbGjz/+WO6xwsWLF6Nv377w8/PD2LFjxcsLbG1t1a4xDA4OxtSpUzFo0CBMnDgReXl5WLNmDZ555hm1k7vmzZuH2NhYBAUFwd3dHbdu3cLq1avRsGFDtROHHqta52zWcmvWrBH69esnuLq6CqampoKdnZ0QGBgo7N+/X6M2Li5O6NSpk2BhYSG4uroKU6ZMEU8PP3LkiFhXdopu2T87OzuhS5cuGssEIMhkMiEpKUltvLzLE/Ly8oQZM2YInp6egpmZmeDi4iIMHTpUuHr1qiAI/7u8wMLCQrhx44bavI+eJl92OnjZ5QOPqmj69u3bhWeffVZQKpWCg4ODMGrUKOHff//VmD85OVkYNGiQYGdnJ5ibmwvNmzcXZs2aVe5zPe7ygvLexwMHDpRb/+i8FV2aUFhYKCxcuFBo2bKloFQqBXt7e8HX11eYO3eukJWVVWFv+fn5wrvvvivUr19fsLCwELp06SLEx8eX+/Pas2eP4O3tLZiamqqdfl3RKdUqlUpwc3MTAAgffvhhtfrW1ldffSUAEOrUqaN22cjDTp06JQwePFioW7euoFQqBXd3d2HYsGFCTEyMWPPo5QVlVq5cKXh5eQlmZmaCs7Oz8NZbb2lcRiAIgvD7778LL7zwglCnTh3ByspKaN26tbBixQpxenmXF6SkpAjdu3cXLCwsBAAan6GCggLB3t5esLW1rfC1lefq1avC0KFDxc9uhw4dhL1791ZYr+vlBTt37lQbL+/yoAsXLgj+/v6CtbW14OjoKIwbN044c+aMWl3Ze1/ev4f7qsq6q6Lfm7t37wqvvvqqYGNjI9ja2gqvvvqqcOrUqXIvpfnll1+ELl26CBYWFoKNjY3Qv39/4cKFCxrLPHTokNCqVStBoVAIzZs3F7Zs2aLx846JiREGDBgguLq6CgqFQnB1dRVGjBghXL58Wbs3/f/JBEFP+5WIiAxAcXExXF1d0b9/f41jqmScjPoYHRFJz+7du3H79m21EznIuHGLjkgCsrKyNO7y/6hHL22RmoSEBJw9exbz58+Ho6Ojzhfyk/QY9ckoRFIxadIkbNq0qdIaqf9Nu2bNGmzZsgVt27atFV8GSk9Pje66jI2NRf/+/eHq6gqZTKZ2c9qioiJMnToVPj4+sLKygqurK0aPHo2bN2+qLSMjIwOjRo2CjY0N7OzsMHbsWI1TostuNmxubg43NzcsWrRIo5edO3fCy8sL5ubm8PHx0bj0QBAEzJ49G/Xr14eFhQX8/f3FO0gQ1bQpU6YgOjq60n9St3HjRhQXF+PEiRN6veMKSUCVTl3Rs/379wszZswQfvzxRwGAsGvXLnFaZmam4O/vL2zfvl1ISUkR4uPjhQ4dOmjckLZPnz5CmzZthD/++EP47bffhKZNmwojRowQp2dlZQnOzs7CqFGjhOTkZOHbb78VLCwshC+++EKsiYuLE0xMTIRFixYJFy5cEGbOnCmYmZmp3WT1k08+EWxtbYXdu3cLZ86cEV566SXB09OzSmd1ERHR02cwlxc8GnTlKbvLetnduy9cuKBxKvyBAwcEmUwmnma/evVqwd7eXu1u4VOnThWaN28uPh42bJgQFBSk9lwdO3YU3njjDUEQSk//dnFxERYvXixOz8zMFJRKpfDtt9/q9oKJiOipqFXH6LKysiCTycQ7WsfHx8POzk7tYll/f3/I5XIkJCRg0KBBiI+PR/fu3dVuVBoYGIiFCxfi3r17sLe3R3x8PCIiItSeKzAwUNyVmpqairS0NLULu21tbdGxY0fEx8eL3xv2qIKCArWr91UqFTIyMlC3bl293MqJiKimCYKA+/fvw9XV9aleWF8VtSbo8vPzMXXqVIwYMUK8y3paWpraFwwCpbe1cnBwQFpamljz6F0pnJ2dxWn29vZIS0sTxx6ueXgZD89XXk15FixYgLlz51b1pRIR1Tr//PMPGjZsWNNtlKtWBF1RURGGDRsGQRDU7rdm6KZPn662pZiVlYVGjRohNTUVderU0Xo5RUVFOHLkCHr16qWXbzggInqUruuZ+/fvw9PTs0rrtKfN4IOuLOT+/vtvHD58WNyaA0qvC3r0u7iKi4uRkZEhXjPk4uKC9PR0tZqyx4+reXh62Vj9+vXVair6GhOg9EsMlUqlxriDg4Pa63icoqIiWFpaom7dugw6InoidF3PlNUa8uEYw9yh+v/KQu7PP//EL7/8grp166pN9/PzQ2ZmJpKSksSxw4cPQ6VSiTd59fPzQ2xsLIqKisSa6OhoNG/eXLyRsZ+fH2JiYtSWHR0dDT8/PwCAp6cnXFxc1Gqys7ORkJAg1hARkWGq0aDLycnB6dOnxTvbp6am4vTp07h+/TqKioowdOhQnDhxAlu3bkVJSQnS0tKQlpaGwsJCAKXfWtunTx+MGzcOiYmJiIuLQ1hYGIKDg+Hq6gqg9BsKFAoFxo4di/Pnz2P79u1YtmyZ2i7FSZMmISoqCp999hlSUlIQGRmJEydOICwsDEDpXyrh4eH48MMP8dNPP+HcuXMYPXo0XF1dMXDgwKf6nhERURXV5CmfZXfzfvRfSEiIeEfv8v49fMftu3fvCiNGjBCsra0FGxsbITQ0VLh//77a85w5c0bo2rWroFQqhQYNGgiffPKJRi87duwQnnnmGUGhUAgtW7YU9u3bpzZdpVIJs2bNEpydnQWlUin07t1buHTpUpVeb1ZWlgCgynebLywsFHbv3i0UFhZWaT4iIm3pup7Rdb32NPFel09RdnY2bG1tkZWVVeVjdPv370e/fv14jI6Inghd1zO6rteeJoM+RkdERFRdDDoiIpI0Bh0REUkag46IiCSNQUdERJLGoCMiIklj0BERkaQx6IiISNIYdEREJGkMOiIikjQGHRERSRqDjoiIJI1BR0REksagIyIiSWPQERGRpDHoiIhI0kxrugGqnMe0fVCaCFjUAWgVeRAFJTJc+ySoptsiIgmR+nqGW3QGzGPaviqNExFVlTGsZxh0BupxHzIpfQiJqGYYy3qGQWeAtP1wSeVDSERPnzGtZxh0REQkaQw6IiKSNAYdERFJGoOOiIgkjUFHRGSErM30W2fIGHREREbIRK7d6l/bOkNW+18BERFVmZmJTK91hoxBR0RkhGwtTPRaZ8gYdERERsjRWqnXOkPGoCMiMkJmZtqt/rWtM2S1/xUQEVGVpabn6bXOkDHoiIiMUPaDIr3WGTIGHRGRESoS9FtnyBh0RERGSGmq3WUD2tYZMgYdEZERMtcywLStM2QMOiIiI1RYrNJrnSFj0BERGaEiLfNL2zpDxqAjIjJC2u6QrP07Lhl0RERGqbBEv3WGjEFHRGSEuOuSiIgkTdv8kkDOMeiIiEjaGHREREZI25W/FEJCCq+BiIiqSNtvmav930bHoCMiIolj0BERGSFTU/3WGTIGHRGREeKuSyIikjR+ewEREUmaXK5dgGlbZ8gYdERERshMpt03qmpbZ8gYdERERuhunnYBpm2dIWPQEREZoQIt80vbOkPGoCMiIklj0BERkaQx6IiISNIYdEREJGkMOiIikjQGHRERSRqDjojICFlqebNmbesMGYOOiMgImWl5Zy9t6wwZg46IyAjlFum3zpAx6IiIjFCxnusMGYOOiIgkjUFHRGSEtD30JoFDdAw6IiJjpNRznSFj0BERGSFLC+221bStM2QMOiIiI1Rcot3372hbZ8gYdERERqi4RL91hoxBR0RkhAq0DDBt6wwZg46IyAhpu0Oy9u+4ZNARERklBh0REUkag46IiEgiGHRERCRpDDoiIiOk0HLtr22dIZPASyAioqqyMNFvnSFj0BERGaFCLa+P07bOkDHoiIiMUJGWp1NqW2fIGHREREZI0DLAtK0zZAw6IiIjpO0eSQnsuWTQERGRtDHoiIhI0hh0RERGiJcXEBGRpGm78pdCSEjhNRARURXlaXmWibZ1hoxBR0RkhPjtBURERBJRo0EXGxuL/v37w9XVFTKZDLt371abLggCZs+ejfr168PCwgL+/v74888/1WoyMjIwatQo2NjYwM7ODmPHjkVOTo5azdmzZ9GtWzeYm5vDzc0NixYt0uhl586d8PLygrm5OXx8fLB///4q90JERIanRoMuNzcXbdq0wapVq8qdvmjRIixfvhxr165FQkICrKysEBgYiPz8fLFm1KhROH/+PKKjo7F3717ExsZi/Pjx4vTs7GwEBATA3d0dSUlJWLx4MSIjI/Hll1+KNceOHcOIESMwduxYnDp1CgMHDsTAgQORnJxcpV6IiGoLpZ7rDJlMEAzjBi8ymQy7du3CwIEDAZRuQbm6uuLdd9/Fe++9BwDIysqCs7MzNm7ciODgYFy8eBHe3t44fvw42rdvDwCIiopCv3798O+//8LV1RVr1qzBjBkzkJaWBoVCAQCYNm0adu/ejZSUFADA8OHDkZubi71794r9dOrUCW3btsXatWu16kUb2dnZsLW1RVZWFmxsbCqs85i2T+2x0kTAog4lmJJogoISmdq0a58EafXcREQPazJtn9pdTypaz5gAuFrJekbb9VpNMq3pBiqSmpqKtLQ0+Pv7i2O2trbo2LEj4uPjERwcjPj4eNjZ2YkhBwD+/v6Qy+VISEjAoEGDEB8fj+7du4shBwCBgYFYuHAh7t27B3t7e8THxyMiIkLt+QMDA8Vdqdr0Up6CggIUFBSIj7OzswEARUVFKCoqqvC1K03U//ZQygW1/z6ssuUQEVXE1ERQCwBd1zO1YR1ksEGXlpYGAHB2dlYbd3Z2FqelpaXByclJbbqpqSkcHBzUajw9PTWWUTbN3t4eaWlpj32ex/VSngULFmDu3Lka44cOHYKlpWWF8y3qUP74/PYqjbFHjyUSEWlDX+uZvLw8fbX0xBhs0EnB9OnT1bYUs7Oz4ebmhoCAgEo38VtFHlR7rJQLmN9ehVkn5ChQqe+6TI4M1G/TRGQU9LWeKdtTZcgMNuhcXFwAAOnp6ahfv744np6ejrZt24o1t27dUpuvuLgYGRkZ4vwuLi5IT09Xqyl7/Liah6c/rpfyKJVKKJWah3LNzMxgZmZW4XyPHocTx1UyjWmVLYeIqCL6Ws/UhnWQwV5H5+npCRcXF8TExIhj2dnZSEhIgJ+fHwDAz88PmZmZSEpKEmsOHz4MlUqFjh07ijWxsbFq+5Gjo6PRvHlz2NvbizUPP09ZTdnzaNMLEREZphoNupycHJw+fRqnT58GUHrSx+nTp3H9+nXIZDKEh4fjww8/xE8//YRz585h9OjRcHV1Fc/MbNGiBfr06YNx48YhMTERcXFxCAsLQ3BwMFxdXQEAI0eOhEKhwNixY3H+/Hls374dy5YtU9ulOGnSJERFReGzzz5DSkoKIiMjceLECYSFhQGAVr0QEdUmxnSvyxrddXnixAn06tVLfFwWPiEhIdi4cSOmTJmC3NxcjB8/HpmZmejatSuioqJgbm4uzrN161aEhYWhd+/ekMvlGDJkCJYvXy5Ot7W1xaFDhzBhwgT4+vrC0dERs2fPVrvWrnPnzti2bRtmzpyJDz74AM2aNcPu3bvRqlUrsUabXoiIagvNU06qV2fIDOY6OmPA6+iIyFDoaz1TG66jk8JWKRERUYUYdEREJGkMOiIikjQGHRERSRqDjoiIJI1BR0RkhEz0XGfIGHREREbImK6jY9ARERkhbS+glsKF1gw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSGHRERCRpDDoiIpI0Bh0REUkag46IiCSNQUdERJLGoCMiIklj0BERkaQx6IiISNIYdEREJGkMOiIikjQGHRERSRqDjoiIJI1BR0REksagIyIiSWPQERGRpDHoiIhI0hh0REQkaQw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSGHRERCRpDDoiIpI0Bh0REUkag46IiCSNQUdERJLGoCMiIklj0BERkaQx6IiISNIYdEREJGkMOiIikjQGHRERSRqDjoiIJI1BR0REksagIyIiSWPQERGRpDHoiIhI0hh0REQkaQw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSGHRERCRpDDoiIpI0Bh0REUkag46IiCSNQUdERJLGoCMiIklj0BERkaQx6IiISNIYdEREJGkMOiIikjQGHRERSRqDjoiIJI1BR0REksagIyIiSWPQERGRpDHoiIhI0hh0REQkaQw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSDDroSkpKMGvWLHh6esLCwgJNmjTB/PnzIQiCWCMIAmbPno369evDwsIC/v7++PPPP9WWk5GRgVGjRsHGxgZ2dnYYO3YscnJy1GrOnj2Lbt26wdzcHG5ubli0aJFGPzt37oSXlxfMzc3h4+OD/fv3P5kXTkREemPQQbdw4UKsWbMGK1euxMWLF7Fw4UIsWrQIK1asEGsWLVqE5cuXY+3atUhISICVlRUCAwORn58v1owaNQrnz59HdHQ09u7di9jYWIwfP16cnp2djYCAALi7uyMpKQmLFy9GZGQkvvzyS7Hm2LFjGDFiBMaOHYtTp05h4MCBGDhwIJKTk5/Om0FERDox6KA7duwYBgwYgKCgIHh4eGDo0KEICAhAYmIigNKtuaVLl2LmzJkYMGAAWrdujc2bN+PmzZvYvXs3AODixYuIiorCunXr0LFjR3Tt2hUrVqzAd999h5s3bwIAtm7disLCQqxfvx4tW7ZEcHAwJk6ciCVLloi9LFu2DH369MH777+PFi1aYP78+WjXrh1Wrlz51N8XIiLSnmlNN1CZzp0748svv8Tly5fxzDPP4MyZM/j999/FAEpNTUVaWhr8/f3FeWxtbdGxY0fEx8cjODgY8fHxsLOzQ/v27cUaf39/yOVyJCQkYNCgQYiPj0f37t2hUCjEmsDAQCxcuBD37t2Dvb094uPjERERodZfYGCgGKjlKSgoQEFBgfg4OzsbAFBUVISioqIK51OaCOqP5YLafx9W2XKIiCqir/VMbVgHGXTQTZs2DdnZ2fDy8oKJiQlKSkrw0UcfYdSoUQCAtLQ0AICzs7PafM7OzuK0tLQ0ODk5qU03NTWFg4ODWo2np6fGMsqm2dvbIy0trdLnKc+CBQswd+5cjfFDhw7B0tKywvkWdSh/fH57lcYYjxMSkS70tZ7Jy8vTV0tPjEEH3Y4dO7B161Zs27YNLVu2xOnTpxEeHg5XV1eEhITUdHuPNX36dLWtwOzsbLi5uSEgIAA2NjYVztcq8qDaY6VcwPz2Ksw6IUeBSqY2LTkyUL9NE5FR0Nd6pmxPlSEz6KB7//33MW3aNAQHBwMAfHx88Pfff2PBggUICQmBi4sLACA9PR3169cX50tPT0fbtm0BAC4uLrh165bacouLi5GRkSHO7+LigvT0dLWassePqymbXh6lUgmlUqkxbmZmBjMzswrnKyiRlT+ukmlMq2w5REQV0dd6pjasgwz6ZJS8vDzI5eotmpiYQKUq3bT29PSEi4sLYmJixOnZ2dlISEiAn58fAMDPzw+ZmZlISkoSaw4fPgyVSoWOHTuKNbGxsWr7mqOjo9G8eXPY29uLNQ8/T1lN2fMQEZFhMuig69+/Pz766CPs27cP165dw65du7BkyRIMGjQIACCTyRAeHo4PP/wQP/30E86dO4fRo0fD1dUVAwcOBAC0aNECffr0wbhx45CYmIi4uDiEhYUhODgYrq6uAICRI0dCoVBg7NixOH/+PLZv345ly5ap7XacNGkSoqKi8NlnnyElJQWRkZE4ceIEwsLCnvr7QkRE2jPoXZcrVqzArFmz8Pbbb+PWrVtwdXXFG2+8gdmzZ4s1U6ZMQW5uLsaPH4/MzEx07doVUVFRMDc3F2u2bt2KsLAw9O7dG3K5HEOGDMHy5cvF6ba2tjh06BAmTJgAX19fODo6Yvbs2WrX2nXu3Bnbtm3DzJkz8cEHH6BZs2bYvXs3WrVq9XTeDCIi0olMePg2I/REZWdnw9bWFllZWZWejOIxbZ/aY6WJgEUdSjAl0URj3/m1T4KeSK9EJG36Ws9ou16rSQa965KIiKi6GHRERCRpDDoiIpI0Bh0REUkag46IiCSNQUdERJLGoCMiIklj0BERkaQx6IiISNIYdEREJGkMOiIikjQGHRERSRqDjoiIJI1BR0REksagIyIiSWPQERGRpDHoiIhI0hh0REQkaQw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSGHRERCRpDDoiIpI0Bh0REUkag46IiCSNQUdERJLGoCMiIklj0BERkaQx6IiISNIYdEREJGkMOiIikjQGHRERSRqDjoiIJI1BR0REksagIyIiSWPQERGRpDHoiIhI0hh0REQkaQw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSGHRERCRpDDoiIpI0nYJuw4YNyMvL03cvREREeqdT0E2bNg0uLi4YO3Ysjh07pu+eiIiI9EanoLtx4wY2bdqEO3fuoGfPnvDy8sLChQuRlpam7/6IiIiqRaegMzU1xaBBg7Bnzx78888/GDduHLZu3YpGjRrhpZdewp49e6BSqfTdKxERUZVV+2QUZ2dndO3aFX5+fpDL5Th37hxCQkLQpEkT/Prrr3pokYiISHc6B116ejo+/fRTtGzZEj179kR2djb27t2L1NRU3LhxA8OGDUNISIg+eyUiIqoynYKuf//+cHNzw8aNGzFu3DjcuHED3377Lfz9/QEAVlZWePfdd/HPP//otVkiIqKqMtVlJicnJxw9ehR+fn4V1tSrVw+pqak6N0ZERKQPOm3R9ejRA+3atdMYLywsxObNmwEAMpkM7u7u1euOiIiomnQKutDQUGRlZWmM379/H6GhodVuioiISF90CjpBECCTyTTG//33X9ja2la7KSIiIn2p0jG6Z599FjKZDDKZDL1794ap6f9mLykpQWpqKvr06aP3JomIiHRVpaAbOHAgAOD06dMIDAyEtbW1OE2hUMDDwwNDhgzRa4NERETVUaWgmzNnDgDAw8MDw4cPh7m5+RNpioiISF90uryAF4ITEVFtoXXQOTg44PLly3B0dIS9vX25J6OUycjI0EtzRERE1aV10H3++eeoU6eO+P+VBR0REZGh0DroHt5dOWbMmCfRCxERkd7pdB3d/v37cfDgQY3xQ4cO4cCBA9VuioiISF90/obxkpISjXGVSoVp06ZVuykiIiJ90Sno/vzzT3h7e2uMe3l54cqVK9VuioiISF90CjpbW1v89ddfGuNXrlyBlZVVtZsiIiLSF52CbsCAAQgPD8fVq1fFsStXruDdd9/FSy+9pLfmiIiIqkunoFu0aBGsrKzg5eUFT09PeHp6okWLFqhbty4+/fRTffdIRESkM53ujGJra4tjx44hOjoaZ86cgYWFBVq3bo3u3bvruz8iIqJq0SnogNIvVg0ICEBAQIA++yEiItIrnXZdAsDRo0fRv39/NG3aFE2bNsVLL72E3377TZ+9ERERVZtOQbdlyxb4+/vD0tISEydOxMSJE2FhYYHevXtj27Zt+u6RiIhIZzrtuvzoo4+waNEiTJ48WRybOHEilixZgvnz52PkyJF6a5CIiKg6dNqi++uvv9C/f3+N8ZdeegmpqanVboqIiEhfdAo6Nzc3xMTEaIz/8ssvcHNzq3ZTRERE+qLTrst3330XEydOxOnTp9G5c2cAQFxcHDZu3Ihly5bptUEiIqLq0Cno3nrrLbi4uOCzzz7Djh07AAAtWrTA9u3bMWDAAL02SEREVB06X0c3aNAgDBo0SJ+9EBER6Z3O19ERERHVBlpv0dnb20Mmk2lVm5GRoXNDRERE+qR10C1duvQJtkFERPRkaB10ISEhT7KPCt24cQNTp07FgQMHkJeXh6ZNm2LDhg1o3749AEAQBMyZMwdfffUVMjMz0aVLF6xZswbNmjUTl5GRkYF33nkHP//8M+RyOYYMGYJly5bB2tparDl79iwmTJiA48ePo169enjnnXcwZcoUtV527tyJWbNm4dq1a2jWrBkWLlyIfv36PZ03goiIdKLzMbqrV69i5syZGDFiBG7dugUAOHDgAM6fP6+35u7du4cuXbrAzMwMBw4cwIULF/DZZ5/B3t5erFm0aBGWL1+OtWvXIiEhAVZWVggMDER+fr5YM2rUKJw/fx7R0dHYu3cvYmNjMX78eHF6dnY2AgIC4O7ujqSkJCxevBiRkZH48ssvxZpjx45hxIgRGDt2LE6dOoWBAwdi4MCBSE5O1tvrJSIi/ZMJgiBUdaajR4+ib9++6NKlC2JjY3Hx4kU0btwYn3zyCU6cOIHvv/9eL81NmzYNcXFxFd4sWhAEuLq64t1338V7770HAMjKyoKzszM2btyI4OBgXLx4Ed7e3jh+/Li4FRgVFYV+/frh33//haurK9asWYMZM2YgLS0NCoVCfO7du3cjJSUFADB8+HDk5uZi79694vN36tQJbdu2xdq1a8vtr6CgAAUFBeLj7OxsuLm54c6dO7CxsanwdbeKPKj2WCkXML+9CrNOyFGgUj9OmhwZWOFyiIgqoq/1THZ2NhwdHZGVlVXpeq0m6RR0fn5+ePnllxEREYE6dergzJkzaNy4MRITEzF48GD8+++/emnO29sbgYGB+Pfff3H06FE0aNAAb7/9NsaNGweg9FZkTZo0walTp9C2bVtxvh49eqBt27ZYtmwZ1q9fj3fffRf37t0TpxcXF8Pc3Bw7d+7EoEGDMHr0aGRnZ2P37t1izZEjR/D8888jIyMD9vb2aNSoESIiIhAeHi7WzJkzB7t378aZM2fK7T8yMhJz587VGN+2bRssLS2r9+YQERmAvLw8jBw50qCDTqfr6M6dO1futxQ4OTnhzp071W6qzF9//YU1a9YgIiICH3zwAY4fP46JEydCoVAgJCQEaWlpAABnZ2e1+ZydncVpaWlpcHJyUptuamoKBwcHtRpPT0+NZZRNs7e3R1paWqXPU57p06cjIiJCfFy2RRcQEMAtOiKqUfrcojN0OgWdnZ0d/vvvP41wOHXqFBo0aKCXxgBApVKhffv2+PjjjwEAzz77LJKTk7F27doaOzmmKpRKJZRKpca4mZkZzMzMKpyvoKT8yzgKVDKNaZUth4ioIvpaz9SGdZBOJ6MEBwdj6tSpSEtLg0wmg0qlQlxcHN577z2MHj1ab83Vr18f3t7eamMtWrTA9evXAQAuLi4AgPT0dLWa9PR0cZqLi4t4skyZ4uJiZGRkqNWUt4yHn6OimrLpRERkmHQKuo8//hheXl5wc3NDTk4OvL290b17d3Tu3BkzZ87UW3NdunTBpUuX1MYuX74Md3d3AICnpydcXFzUvkkhOzsbCQkJ8PPzA1B6PDEzMxNJSUlizeHDh6FSqdCxY0exJjY2FkVFRWJNdHQ0mjdvLp7h6efnp/GNDdHR0eLzEBGRYdIp6BQKBb766itcvXoVe/fuxZYtW5CSkoJvvvkGJiYmemtu8uTJ+OOPP/Dxxx/jypUr2LZtG7788ktMmDABACCTyRAeHo4PP/wQP/30E86dO4fRo0fD1dUVAwcOBFC6BdinTx+MGzcOiYmJiIuLQ1hYGIKDg+Hq6goAGDlyJBQKBcaOHYvz589j+/btWLZsmdrxtUmTJiEqKgqfffYZUlJSEBkZiRMnTiAsLExvr5eIiPRPp2N0v//+O7p27YpGjRqhUaNG+u5J9Nxzz2HXrl2YPn065s2bB09PTyxduhSjRo0Sa6ZMmYLc3FyMHz8emZmZ6Nq1K6KiomBubi7WbN26FWFhYejdu7d4wfjy5cvF6ba2tjh06BAmTJgAX19fODo6Yvbs2WrX2nXu3Bnbtm3DzJkz8cEHH6BZs2bYvXs3WrVq9cRePxERVZ9OlxcoFAo0aNAAI0aMwCuvvKJxHI3Kl52dDVtb28eehusxbZ/aY6WJgEUdSjAl0UTjIPG1T4KeSK9EJG36Ws9ou16rSTrturx58ybeffddHD16FK1atULbtm2xePFivV0/R0REpC86BZ2joyPCwsIQFxeHq1ev4uWXX8amTZvg4eGB559/Xt89EhER6aza30fn6emJadOm4ZNPPoGPjw+OHj2qj76IiIj0olpBFxcXh7fffhv169fHyJEj0apVK+zbt+/xMxIRET0lOp11OX36dHz33Xe4efMmXnjhBSxbtgwDBgzg/RuJiMjg6BR0sbGxeP/99zFs2DA4OjrquyciIiK90Sno4uLitKoLCgrCunXrUL9+fV2ehoiIqNqqfTJKZWJjY/HgwYMn+RRERESVeqJBR0REVNMYdEREJGkMOiIikjQGHRERSRqDjoiIJO2JBt0HH3wABweHJ/kUREREldI56L755ht06dIFrq6u+PvvvwEAS5cuxZ49e8Sa6dOnw87OrtpNEhER6UqnoFuzZg0iIiLQr18/ZGZmoqSkBABgZ2eHpUuX6rM/IiKiatEp6FasWIGvvvoKM2bMgImJiTjevn17nDt3Tm/NERERVZdOQZeamopnn31WY1ypVCI3N7faTREREemLTkHn6emJ06dPa4xHRUWhRYsW1e2JiIhIb3S6qXNERAQmTJiA/Px8CIKAxMREfPvtt1iwYAHWrVun7x6JiIh0plPQvf7667CwsMDMmTORl5eHkSNHwtXVFcuWLUNwcLC+eyQiItKZTkEHAKNGjcKoUaOQl5eHnJwcODk56bMvIiIivdDpGN2HH36I1NRUAIClpSVDjoiIDJZOQbdz5040bdoUnTt3xurVq3Hnzh1990VERKQXOgXdmTNncPbsWfTs2ROffvopXF1dERQUhG3btiEvL0/fPRIREelM51uAtWzZEh9//DH++usvHDlyBB4eHggPD4eLi4s++yMiIqoWvdzU2crKChYWFlAoFCgqKtLHIomIiPRC56BLTU3FRx99hJYtW6J9+/Y4deoU5s6di7S0NH32R0REVC06XV7QqVMnHD9+HK1bt0ZoaChGjBiBBg0a6Ls3IiKiatMp6Hr37o3169fD29tb3/0QERHplU5B99FHH+m7DyIioidC66CLiIjA/PnzYWVlhYiIiEprlyxZUu3GiIiI9EHroDt16pR4RuWpU6eeWENERET6pHXQHTlypNz/JyIiMmQ6XV7w2muv4f79+xrjubm5eO2116rdFBERkb7oFHSbNm3CgwcPNMYfPHiAzZs3V7spIiIifanSWZfZ2dkQBAGCIOD+/fswNzcXp5WUlGD//v38JgMiIjIoVQo6Ozs7yGQyyGQyPPPMMxrTZTIZ5s6dq7fmiIiIqqtKQXfkyBEIgoDnn38eP/zwAxwcHMRpCoUC7u7ucHV11XuTREREuqpS0PXo0QNA6X0u3dzcIJfr5Z7QRERET4xOd0Zxd3cHAOTl5eH69esoLCxUm966devqd0ZERKQHOgXd7du3ERoaigMHDpQ7vaSkpFpNERER6YtO+x7Dw8ORmZmJhIQEWFhYICoqCps2bUKzZs3w008/6btHIiIinem0RXf48GHs2bMH7du3h1wuh7u7O1544QXY2NhgwYIFCAoK0nefREREOtFpiy43N1e8Xs7e3h63b98GAPj4+ODkyZP6646IiKiadAq65s2b49KlSwCANm3a4IsvvsCNGzewdu1a1K9fX68NEhERVYdOuy4nTZqE//77DwAwZ84c9OnTB1u3boVCocDGjRv12R8REVG16BR0r7zyivj/vr6++Pvvv5GSkoJGjRrB0dFRb80RERFVl05B9yhLS0u0a9dOH4siIiLSqyp9w7i2+A3jRERkKKr0DePakMlkOjdDRESkbzp9wzgREVFtUa27Ml+5cgUHDx4Uv4RVEAS9NEVERKQvOgXd3bt30bt3bzzzzDPo16+feKnB2LFj8e677+q1QSIiourQKegmT54MMzMzXL9+HZaWluL48OHDERUVpbfmiIiIqkunywsOHTqEgwcPomHDhmrjzZo1w99//62XxoiIiPRB53tdPrwlVyYjIwNKpbLaTREREemLTkHXrVs3bN68WXwsk8mgUqmwaNEi9OrVS2/NERERVZdOuy4XL16M559/HidOnEBhYSGmTJmC8+fPIyMjA3FxcfrukYiISGdVDrqioiJMnDgRP//8M6Kjo1GnTh3k5ORg8ODBmDBhAr+9gIiIDEqVg87MzAxnz56Fvb09ZsyY8SR6IiIi0hudjtG98sor+Prrr/XdCxERkd7pdIyuuLgY69evxy+//AJfX19YWVmpTedNnYmIyFDoFHTJycni1/JcvnxZbRpv6kxERIZEp6DjDZ6JiKi2qNZNnYmIiAwdg46IiCSNQUdERJLGoCMiIklj0BERkaQx6IiISNIYdEREJGkMOiIikjQGHRERSRqDjoiIJI1BR0REksagIyIiSWPQERGRpDHoiIhI0hh0REQkaQw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSalXQffLJJ5DJZAgPDxfH8vPzMWHCBNStWxfW1tYYMmQI0tPT1ea7fv06goKCYGlpCScnJ7z//vsoLi5Wq/n111/Rrl07KJVKNG3aFBs3btR4/lWrVsHDwwPm5ubo2LEjEhMTn8TLJCIiPao1QXf8+HF88cUXaN26tdr45MmT8fPPP2Pnzp04evQobt68icGDB4vTS0pKEBQUhMLCQhw7dgybNm3Cxo0bMXv2bLEmNTUVQUFB6NWrF06fPo3w8HC8/vrrOHjwoFizfft2REREYM6cOTh58iTatGmDwMBA3Lp168m/eCIi0lmtCLqcnByMGjUKX331Fezt7cXxrKwsfP3111iyZAmef/55+Pr6YsOGDTh27Bj++OMPAMChQ4dw4cIFbNmyBW3btkXfvn0xf/58rFq1CoWFhQCAtWvXwtPTE5999hlatGiBsLAwDB06FJ9//rn4XEuWLMG4ceMQGhoKb29vrF27FpaWlli/fv3TfTOIiKhKTGu6AW1MmDABQUFB8Pf3x4cffiiOJyUloaioCP7+/uKYl5cXGjVqhPj4eHTq1Anx8fHw8fGBs7OzWBMYGIi33noL58+fx7PPPov4+Hi1ZZTVlO0iLSwsRFJSEqZPny5Ol8vl8Pf3R3x8fIV9FxQUoKCgQHycnZ0NACgqKkJRUVGF8ylNBPXHckHtvw+rbDlERBXR13qmNqyDDD7ovvvuO5w8eRLHjx/XmJaWlgaFQgE7Ozu1cWdnZ6SlpYk1D4dc2fSyaZXVZGdn48GDB7h37x5KSkrKrUlJSamw9wULFmDu3Lka44cOHYKlpWWF8y3qUP74/PYqjbH9+/dXuBwiooroaz2Tl5enr5aeGIMOun/++QeTJk1CdHQ0zM3Na7qdKps+fToiIiLEx9nZ2XBzc0NAQABsbGwqnK9V5EG1x0q5gPntVZh1Qo4ClUxtWnJkoH6bJiKjoK/1TNmeKkNm0EGXlJSEW7duoV27duJYSUkJYmNjsXLlShw8eBCFhYXIzMxU26pLT0+Hi4sLAMDFxUXj7MiyszIfrnn0TM309HTY2NjAwsICJiYmMDExKbembBnlUSqVUCqVGuNmZmYwMzOrcL6CEln54yqZxrTKlkNEVBF9rWdqwzrIoE9G6d27N86dO4fTp0+L/9q3b49Ro0aJ/29mZoaYmBhxnkuXLuH69evw8/MDAPj5+eHcuXNqZ0dGR0fDxsYG3t7eYs3DyyirKVuGQqGAr6+vWo1KpUJMTIxYQ0REhsmgt+jq1KmDVq1aqY1ZWVmhbt264vjYsWMREREBBwcH2NjY4J133oGfnx86deoEAAgICIC3tzdeffVVLFq0CGlpaZg5cyYmTJggbm29+eabWLlyJaZMmYLXXnsNhw8fxo4dO7Bv3z7xeSMiIhASEoL27dujQ4cOWLp0KXJzcxEaGvqU3g0iItKFQQedNj7//HPI5XIMGTIEBQUFCAwMxOrVq8XpJiYm2Lt3L9566y34+fnBysoKISEhmDdvnljj6emJffv2YfLkyVi2bBkaNmyIdevWITDwf/ulhw8fjtu3b2P27NlIS0tD27ZtERUVpXGCChERGRaZIAia55LSE5GdnQ1bW1tkZWVVejKKx7R9ao+VJgIWdSjBlEQTjX3n1z4JeiK9EpG06Ws9o+16rSYZ9DE6IiKi6mLQERGRpDHoiIhI0hh0REQkaQw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSGHRERCRpDDoiIpI0Bh0REUkag46IiCSNQUdERJLGoCMiIklj0BERkaQx6IiISNIYdEREJGkMOiIikjQGHRERSRqDjoiIJI1BR0REksagIyIiSWPQERGRpDHoiIhI0hh0REQkaQw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSGHRERCRpDDoiIpI0Bh0REUkag46IiCSNQUdERJLGoCMiIklj0BERkaQx6IiISNIYdEREJGkMOiIikjQGHRERSRqDjoiIJI1BR0REksagIyIiSWPQERGRpDHoiIhI0hh0REQkaQw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSGHRERCRpDDoiIpI0Bh0REUkag46IiCSNQUdERJLGoCMiIklj0BERkaQx6IiISNIYdEREJGkMOiIikjQGHRERSRqDjoiIJI1BR0REksagIyIiSWPQERGRpDHoiIhI0hh0REQkaQw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSGHREREZI25W/FEJCCq+BiIiqSKbnOkPGoCMiMkIMOiIikjRzU/3WGTKDD7oFCxbgueeeQ506deDk5ISBAwfi0qVLajX5+fmYMGEC6tatC2trawwZMgTp6elqNdevX0dQUBAsLS3h5OSE999/H8XFxWo1v/76K9q1awelUommTZti48aNGv2sWrUKHh4eMDc3R8eOHZGYmKj310xE9KSZmmi3+te2zpAZ/Cs4evQoJkyYgD/++APR0dEoKipCQEAAcnNzxZrJkyfj559/xs6dO3H06FHcvHkTgwcPFqeXlJQgKCgIhYWFOHbsGDZt2oSNGzdi9uzZYk1qaiqCgoLQq1cvnD59GuHh4Xj99ddx8OBBsWb79u2IiIjAnDlzcPLkSbRp0waBgYG4devW03kziIj0pLhYpdc6QyYTBEGo6Saq4vbt23BycsLRo0fRvXt3ZGVloV69eti2bRuGDh0KAEhJSUGLFi0QHx+PTp064cCBA3jxxRdx8+ZNODs7AwDWrl2LqVOn4vbt21AoFJg6dSr27duH5ORk8bmCg4ORmZmJqKgoAEDHjh3x3HPPYeXKlQAAlUoFNzc3vPPOO5g2bdpje8/OzoatrS2ysrJgY2NTYZ3HtH1qj5UmAhZ1KMGURBMUlKjvMb/2SZAW7xoRkbpWs/Yhp+h/jytaz1ibAcnzK17PaLteq0m1bu9rVlYWAMDBwQEAkJSUhKKiIvj7+4s1Xl5eaNSokRh08fHx8PHxEUMOAAIDA/HWW2/h/PnzePbZZxEfH6+2jLKa8PBwAEBhYSGSkpIwffp0cbpcLoe/vz/i4+PL7bWgoAAFBQXi4+zsbABAUVERioqKyp0HKP3AqT2WC2r/fVhlyyEiqkgdczmKVCXi44rWM3XMTSpdz9SGdVCtCjqVSoXw8HB06dIFrVq1AgCkpaVBoVDAzs5OrdbZ2RlpaWlizcMhVza9bFplNdnZ2Xjw4AHu3buHkpKScmtSUlLK7XfBggWYO3euxvihQ4dgaWlZ4etc1KH88fntNXch7N+/v8LlEBFVZFqr8sc11zMlla5n8vLy9NfUE1Krgm7ChAlITk7G77//XtOtaGX69OmIiIgQH2dnZ8PNzQ0BAQGVbuK3ijyo9lgpFzC/vQqzTshRoFLfdZkcGajfponIKPhEHsTD224VrWdkAM5Vsp4p21NlyGpN0IWFhWHv3r2IjY1Fw4YNxXEXFxcUFhYiMzNTbasuPT0dLi4uYs2jZ0eWnZX5cM2jZ2qmp6fDxsYGFhYWMDExgYmJSbk1Zct4lFKphFKp1Bg3MzODmZlZha/10eNw4rhKpjGtsuUQEVUkX0/rmdqwDjL4sy4FQUBYWBh27dqFw4cPw9PTU226r68vzMzMEBMTI45dunQJ169fh5+fHwDAz88P586dUzs7Mjo6GjY2NvD29hZrHl5GWU3ZMhQKBXx9fdVqVCoVYmJixBoiotrCRM91hszgt+gmTJiAbdu2Yc+ePahTp454TM3W1hYWFhawtbXF2LFjERERAQcHB9jY2OCdd96Bn58fOnXqBAAICAiAt7c3Xn31VSxatAhpaWmYOXMmJkyYIG5xvfnmm1i5ciWmTJmC1157DYcPH8aOHTuwb9//zoCMiIhASEgI2rdvjw4dOmDp0qXIzc1FaGjo039jiIhIKwYfdGvWrAEA9OzZU218w4YNGDNmDADg888/h1wux5AhQ1BQUIDAwECsXr1arDUxMcHevXvx1ltvwc/PD1ZWVggJCcG8efPEGk9PT+zbtw+TJ0/GsmXL0LBhQ6xbtw6Bgf/bNz18+HDcvn0bs2fPRlpaGtq2bYuoqCiNE1SIiAydHEDJY6tqwW4/LRh80GlzmZ+5uTlWrVqFVatWVVjj7u7+2DMUe/bsiVOnTlVaExYWhrCwsMf2RERkyOwsZLj94PHrVzuL2n+3SymENRERVZGTjble6wwZg46IyAjJtNxQ07bOkDHoiIiM0NVbD/RaZ8gYdERERqhQy3s1a1tnyBh0RERGSK7lLklt6wwZg46IyAh51FXotc6QMeiIiIxQQ/uKbyyvS50hY9ARERmhtGztvl5H2zpDxqAjIjJC9x8U6rXOkDHoiIiMULHq8XdFqUqdIWPQEREZIQuFdneA1LbOkDHoiIiMUAN7C73WGTIGHRGREXK21e6yAW3rDBmDjojICGXkaHeSibZ1hoxBR0RkhO7mFOu1zpAx6IiIjFBdKzO91hkyBh0RkRFq5myt1zpDxqAjIjJC1+/m6rXOkDHoiIiMUPJ/2gWYtnWGjEFHRGSEFKbarf61rTNktf8VEBFRlQW0cNJrnSFj0BERGaH+7Vz1WmfIGHREREbowo0cvdYZMgYdEZERyi3U7nvmtK0zZAw6IiIjpFLpt86QMeiIiIyQTMu1v7Z1hkwCL4GIiKqqoFC7TTVt6wwZg46IyAjZWmh3D0tt6wwZg46IyAiZyGWQyyqvkctK62o7Bh0RkRFyrKOE2WNCzEwug2Md5VPq6Mlh0BERGSH3upYQHrexJiutq+0YdERERuhWVgFUKqHSGpVKwK2sgqfU0ZPDoCMiMkJ/3r4PofKcg0ooravtGHREREboQaEKJY8JuhKhtK62Y9ARERmhhnW1O8lE2zpDxqAjIjJCl//T7mbN2tYZMgYdEZERyi0o0WudIWPQEREZITcHC8gBVHSFgQylAeHmYPH0mnpCGHREREZoeLtGqGNeensvE/wvDOT//xgAbCzMMLxdoxroTr8YdERERsjc3BSjO7vDRC5DCYCycytVAEpQeuuvV/3cYW5uWnNN6gmDjojISLV1s4N1BUFmbW6Ktm52T7ehJ4RBR0RkhIqLVdgYdw1KUznaNbSBm33psTg3ewu0a2gDpakcm45dQ3Exr6MjIqJa6OQ/93Dtbi7qWilgZmYKZxtzAICzjTnMzExR10qB1Du5OPnPvRrutPoYdERERuhubiGKSlSwUJhAEAQUFpVeRlBYVAJBEGChMEFRiQp3cwtruNPqq/1HGYmIqMrqWilgZiJHZl4hCooElJQUAw2BfzPzYWJiCqWZDGYmctS1UtR0q9XGLToiIiPUzs0eTnWUuJmZj5z8QpialF5RZ2oiQ05+IW5m5sPJRol2bvY13Gn1MeiIiIyQXC6Du4Ml5DIZCksEFP3/SSdFxSoUlgiQy2TwcLCEnN8wTkREtdGNzAeATIbWDW1gZiLH/YIiAMD9giKYmcjRuqENBMhK62o5HqMjIjJCuYXFuJNTgOz8EjhaK6GQKwBko5G9FQpVMmTnl8DMpAC5hcU13Wq1MeiIiIyQhZkJ7uQUIregGM42SpjJS7+czsFagSKVDOnZBRCE0rrajrsuiYiMUOmRNwEyVPTtq6XTav8ROgYdEZFRyisq3WVpZW6KjNxCFBb//3V0xSXIyC2Etbkp6lorkVdU+7+mh7suiYiMkJXCFI7WSjhaK5CWVYD7DwoAAPlFApxszOFiowQgg5Wi9sdE7X8FRERUZQ3sLNCknjWSb2bB190OeflFADLRwcMBluZmuHI7Fz4NbNHAjt9HR0REtZBcLkNgK2c4WClw5XYuZP9/ME4mA67czoWDlQIBLZ15HR0REdVeTZ3qILSLB1q52iLrQel1dFkPiuDTwBahXTzQ1KlODXeoH9x1SURkxJo61UHjnta4fuc+zsT/gwm9mqKRYx1JbMmV4RYdERFJGrfoiIiM2JVb93EwOR3Xbmejqzmw6sgVeNSzQWArZ8nsuuQWHRGRkbpy6z42xF1D8s0s2FqYAQBsLcyQfDMLG+Ku4cqt+zXcoX4w6IiIjJBKJeBgcjoycgvRzMka1ualO/iszU3RzMkaGbmFOHQ+HSpVRXdOqT0YdERERuhG5gNcvZ2D+rbmkMnUTzyRyWSob2uOK7dyJPHtBQw6IiIjlFtYjPziElhWcOcTC4UJCopLJPHtBQw6IiIjZKUwhbmpCfIqCLIHhSVQmppI4hZgDDoiIiNUdguw/7LyIQjqx+EEQcB/Wflo6mTNW4AREVHt9PAtwP68lYOc/NItu5z8Yvx5K4e3ACMiotqPtwAjIiLJ4y3AiIhI8uRyGRrYlx6La2BvIamQAxh0REQkcQw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSGHRERCRpDDoiIpI0Bh0REUkag84Amem5jojImDHoDJBcy5+KtnVERMaMq0oDZKbllydpW0dEZMwYdAaorqV2CaZtHRGRMWPQGaA6ChO91hERGTMGnQG6V1Ci1zoiImPGoDNABcWCXuuIiIwZg66KVq1aBQ8PD5ibm6Njx45ITEzU+3NYKbU79qZtHRGRMWPQVcH27dsRERGBOXPm4OTJk2jTpg0CAwNx69YtvT5P47qWeq0jIjJmDLoqWLJkCcaNG4fQ0FB4e3tj7dq1sLS0xPr16/X6PM/Ut9VrHRGRMeO+Ly0VFhYiKSkJ06dPF8fkcjn8/f0RHx9f7jwFBQUoKCgQH2dnZwMAioqKUFRUVOFztXezxSYTAWVH4JRyQe2/ACD7/7rKlkNEpK2ydUlV1ym1YR3EoNPSnTt3UFJSAmdnZ7VxZ2dnpKSklDvPggULMHfuXI3xQ4cOwdKy8t2OCztojs1vr1J7nPdXEvb/9ZjGiYiqIDo6ukr1eXl5T6gT/WHQPUHTp09HRESE+Dg7Oxtubm4ICAiAjY1NhfOpVAIWH7yEn8/eRPaDIpjJBcxvr8KsE3IUqWSwsTBD/9aueD+wOeRy2dN4KUQkcUVFRYiOjsYLL7wAMzPt76RbtqfKkDHotOTo6AgTExOkp6erjaenp8PFxaXceZRKJZRKpca4mZnZYz9IwZ08kJZThEv/ZSO/sAhAHmwtzWGuNENzFxsEd/KAUqnQ+fUQEZVHm/XTo/WGjiejaEmhUMDX1xcxMTHimEqlQkxMDPz8/PT+fE2d6iDcvxkGPNsArRuWnnTSuqEtBrZtiHD/ZmjqVEfvz0lEJEXcoquCiIgIhISEoH379ujQoQOWLl2K3NxchIaGPpHna+pUB2/3tMb1O/dxJv4/vB/ohUaOdbi7koioChh0VTB8+HDcvn0bs2fPRlpaGtq2bYuoqCiNE1T0SS6XoYG9Bc4AaGBvwZAjIqoiBl0VhYWFISwsrKbbICIiLfEYHRERSRqDjoiIJI1BR0REksagIyIiSWPQERGRpDHoiIhI0hh0REQkaQw6IiKSNAYdERFJGoOOiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSGHRERCRpDDoiIpI0Bh0REUkag46IiCSNQUdERJJmWtMNGBNBEAAA2dnZVZqvqKgIeXl5yM7OhpmZ2ZNojYiMnK7rmbL1Wdn6zRAx6J6i+/fvAwDc3NxquBMiIv26f/8+bG1ta7qNcskEQ45hiVGpVLh58ybq1KkDmUym9XzZ2dlwc3PDP//8AxsbmyfYIREZK13XM4Ig4P79+3B1dYVcbphHw7hF9xTJ5XI0bNhQ5/ltbGwYdET0ROmynjHULbkyhhm/REREesKgIyIiSWPQ1QJKpRJz5syBUqms6VaISKKkvJ7hyShERCRp3KIjIiJJY9AREZGkMeiIiEjSGHRERCRpDLpaYNWqVfDw8IC5uTk6duyIxMTEmm6JiCQiNjYW/fv3h6urK2QyGXbv3l3TLekdg87Abd++HREREZgzZw5OnjyJNm3aIDAwELdu3arp1ohIAnJzc9GmTRusWrWqplt5Ynh5gYHr2LEjnnvuOaxcuRJA6f0y3dzc8M4772DatGk13B0RSYlMJsOuXbswcODAmm5Fr7hFZ8AKCwuRlJQEf39/cUwul8Pf3x/x8fE12BkRUe3BoDNgd+7cQUlJCZydndXGnZ2dkZaWVkNdERHVLgw6IiKSNAadAXN0dISJiQnS09PVxtPT0+Hi4lJDXRER1S4MOgOmUCjg6+uLmJgYcUylUiEmJgZ+fn412BkRUe3BL141cBEREQgJCUH79u3RoUMHLF26FLm5uQgNDa3p1ohIAnJycnDlyhXxcWpqKk6fPg0HBwc0atSoBjvTH15eUAusXLkSixcvRlpaGtq2bYvly5ejY8eONd0WEUnAr7/+il69emmMh4SEYOPGjU+/oSeAQUdERJLGY3RERCRpDDoiIpI0Bh0REUkag46IiCSNQUdERJLGoCMiIklj0BERkaQx6IiISNIYdKR3PXv2RHh4eE23oTUPDw8sXbq0ptvArFmzMH78+Jpug/QgODgYn332WU23Qf+PQUdkANLS0rBs2TLMmDFDbXzVqlXw8PCAubk5OnbsiMTExBrq8OmbOHEifH19oVQq0bZt25pup0pmzpyJjz76CFlZWTXdCoFBR0aipKQEKpWqptuo0Lp169C5c2e4u7uLY9u3b0dERATmzJmDkydPok2bNggMDMStW7dqsNOn67XXXsPw4cNruo0qa9WqFZo0aYItW7bUdCsEBh09ISqVClOmTIGDgwNcXFwQGRmpNn3JkiXw8fGBlZUV3Nzc8PbbbyMnJ0ec3rNnT8hkMo1/165d02r+jRs3ws7ODj/99BO8vb2hVCpx/fp13Lp1C/3794eFhQU8PT2xdetWjd6vX7+OAQMGwNraGjY2Nhg2bJjadwKOGTMGAwcOVJsnPDwcPXv2FB9///338PHxgYWFBerWrQt/f3/k5uZW+H5999136N+/v8Z7NG7cOISGhsLb2xtr166FpaUl1q9fX+Fyqqu811b2Xj5sz549aNeuHczNzdG4cWPMnTsXxcXFAEp3BZf3s5PJZFW6SfDy5csxYcIENG7cuJqvqmoiIyM1+n74Pbl79y5GjBiBBg0awNLSEj4+Pvj22281ltO/f3989913T7FzqgiDjp6ITZs2wcrKCgkJCVi0aBHmzZuH6OhocbpcLsfy5ctx/vx5bNq0CYcPH8aUKVPE6T/++CP+++8/8d/gwYPRvHlzODs7azU/AOTl5WHhwoVYt24dzp8/DycnJ4wZMwb//PMPjhw5gu+//x6rV69W20JSqVQYMGAAMjIycPToUURHR+Ovv/6q0lbFf//9hxEjRuC1117DxYsX8euvv2Lw4MGo6P7pGRkZuHDhAtq3by+OFRYWIikpCf7+/mrvmb+/P+Lj4yt87q1bt8La2rrSf7/99pvWr6U8v/32G0aPHo1JkybhwoUL+OKLL7Bx40Z89NFHAIDjx4+LP7eGDRti6dKl4uMnvXXWt2/fSl97y5YttVpOy5YtxZ6HDRumNi0/Px++vr7Yt28fkpOTMX78eLz66qsau5U7dOiAxMREFBQU6O31kW74fXT0RLRu3Rpz5swBADRr1gwrV65ETEwMXnjhBQBQO1nFw8MDH374Id58802sXr0aAODg4CBO//zzz3H48GEkJCTAwsJCq/kBoKioCKtXr0abNm0AAJcvX8aBAweQmJiI5557DgDw9ddfo0WLFuI8MTExOHfuHFJTU+Hm5gYA2Lx5M1q2bInjx4+L81Xmv//+Q3FxMQYPHizuivTx8amw/vr16xAEAa6uruLYnTt3UFJSIgZ7GWdnZ6SkpFS4rJdeeumxX+HUoEGDx76GysydOxfTpk1DSEgIAKBx48aYP38+pkyZgjlz5qBevXpirYmJCWxtbeHi4lKt59TWunXr8ODBgwqnm5mZPXYZBQUFsLCwEHu2sLBQC6sGDRrgvffeEx+/8847OHjwIHbs2IEOHTqI466urigsLERaWpraLml6+hh09ES0bt1a7XH9+vXVtpx++eUXLFiwACkpKcjOzkZxcTHy8/ORl5cHS0tLse7AgQOYNm0afv75ZzzzzDNVml+hUKj1cfHiRZiamsLX11cc8/LyUtstd/HiRbi5uYkhBwDe3t6ws7PDxYsXtQq6Nm3aoHfv3vDx8UFgYCACAgIwdOhQ2Nvbl1tftmI2Nzd/7LIfp06dOqhTp061lrF3715YW1uLj4uLi9V6O3PmDOLi4sQtOKD0GGh5P7+nrbohDpTumrSxsalweklJCT7++GPs2LEDN27cQGFhIQoKCjRed9kfZXl5edXuiaqHuy7piXj0L2eZTCaeDHLt2jW8+OKLaN26NX744QckJSVh1apVAEp32ZW5cOECgoOD8cknnyAgIEAc13Z+CwsLyGQyvb82uVyusRuyqKhI/H8TExNER0fjwIED8Pb2xooVK9C8eXOkpqaWuzxHR0cAwL1799TGTExM1I4NAkB6enqlW0f62HXZq1cvnD59Wvw3b948tek5OTmYO3euWs25c+fw559/6iWsq0Mfuy7/+usveHp6Vjh98eLFWLZsGaZOnYojR47g9OnTCAwMVPvsAaW7pAGobeFSzeAWHT11SUlJUKlU+OyzzyCXl/6ttWPHDrWaO3fuoH///hgyZAgmT55c5fnL4+XlheLiYiQlJYlbZpcuXUJmZqZY06JFC/zzzz/4559/xK26CxcuIDMzE97e3gBKV1zJyclqyz59+rRauMtkMnTp0gVdunTB7Nmz4e7ujl27diEiIkKjryZNmsDGxgYXLlwQt1oVCgV8fX0RExMjngihUqkQExODsLCwCl+jPnZdWllZoWnTpuJjJycntent2rXDpUuX1GoMRXV3Xebn5yMxMRGvvvpqhTVxcXEYMGAAXnnlFQClP5fLly+Ln48yycnJaNiwofiHDNUcBh09dU2bNkVRURFWrFiB/v37Iy4uDmvXrlWrGTJkCCwtLREZGYm0tDRxvF69elrNX57mzZujT58+eOONN7BmzRqYmpoiPDxc3MUEAP7+/vDx8cGoUaOwdOlSFBcX4+2330aPHj3Ek0Wef/55LF68GJs3b4afnx+2bNmC5ORkPPvsswCAhIQExMTEICAgAE5OTkhISMDt27fVjgU+rOwkk99//13t7L6IiAiEhISgffv26NChA5YuXYrc3FyEhoZW+Br1sevycWbPno0XX3wRjRo1wtChQyGXy3HmzBkkJyfjww8/1NvzXLlyBTk5OUhLS8ODBw9w+vRpAKW7khUKRbnzVGfXZU5Ojrj12rVrV/Fz9+DBAxQUFCArKwu2trZo1qwZvv/+exw7dgz29vZYsmQJ0tPTNYLut99+U9sTQTVIINKzHj16CJMmTVIbGzBggBASEiI+XrJkiVC/fn3BwsJCCAwMFDZv3iwAEO7duycIgiAAKPdfamqqVvNv2LBBsLW11ejtv//+E4KCggSlUik0atRI2Lx5s+Du7i58/vnnYs3ff/8tvPTSS4KVlZVQp04d4eWXXxbS0tLUljN79mzB2dlZsLW1FSZPniyEhYUJPXr0EARBEC5cuCAEBgYK9erVE5RKpfDMM88IK1asqPQ9279/v9CgQQOhpKREbXzFihVCo0aNBIVCIXTo0EH4448/Kl1OdYWEhAgDBgxQGyvvvYyKihI6d+4sWFhYCDY2NkKHDh2EL7/8UmN57u7uwoYNG8p9nrL3qyI9evSo9DOgb3PmzKnwcwdA/PzevXtXGDBggGBtbS04OTkJM2fOFEaPHq32vj148ECwtbUV4uPjn0ivVDUyQajgnGciemoEQUDHjh0xefJkjBgxoqbbeeJ69OiBXr16aVxfWZPKeimvp927d2P37t1aXwe4Zs0a7Nq1C4cOHdJfg6Qz7rokMgAymQxffvklzp07V9OtPHFZWVm4evUq9u3bV9OtqHn4TNNHmZubw9bWVutlmZmZYcWKFfpoi/SAW3RERCRpvLyAiIgkjUFHRESSxqAjIiJJY9AREZGkMeiIiEjSGHRERCRpDDoiIpI0Bh0REUkag46IiCTt/wAXv2LJI3q55AAAAABJRU5ErkJggg==",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"# Список числовых колонок, для которых мы будем строить графики\n",
|
||
"numeric_columns = ['est_diameter_min', 'est_diameter_max', 'relative_velocity', 'miss_distance', 'absolute_magnitude']\n",
|
||
"\n",
|
||
"# Создание диаграмм зависимости\n",
|
||
"for column in numeric_columns:\n",
|
||
" plt.figure(figsize=(4, 8)) # Установка размера графика\n",
|
||
" plt.scatter(df['hazardous'], df[column], alpha=0.5) # Создаем диаграмму рассеяния\n",
|
||
" plt.title(f'Зависимость {column} от hazardous')\n",
|
||
" plt.xlabel('hazardous (0 = нет, 1 = да)')\n",
|
||
" plt.ylabel(column)\n",
|
||
" plt.xticks([0, 1]) # Установка меток по оси X\n",
|
||
" plt.grid() # Добавление сетки для удобства восприятия\n",
|
||
" plt.show() # Отображение графика"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Создадим выборки данных. разбивать будем относительно параметра опасный, ведь это тот самый параметр по которому наша выборка разбивается на классы. И собственно его нам и надо будет предсказывать"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Requirement already satisfied: scikit-learn in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (1.5.2)\n",
|
||
"Requirement already satisfied: numpy>=1.19.5 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from scikit-learn) (2.1.1)\n",
|
||
"Requirement already satisfied: scipy>=1.6.0 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from scikit-learn) (1.14.1)\n",
|
||
"Requirement already satisfied: joblib>=1.2.0 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from scikit-learn) (1.4.2)\n",
|
||
"Requirement already satisfied: threadpoolctl>=3.1.0 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from scikit-learn) (3.5.0)\n",
|
||
"Note: you may need to restart the kernel to use updated packages.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"pip install scikit-learn"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# Функция для создания выборок\n",
|
||
"from sklearn.model_selection import train_test_split\n",
|
||
"\n",
|
||
"def split_stratified_into_train_val_test(\n",
|
||
" df_input,\n",
|
||
" stratify_colname=\"y\",\n",
|
||
" frac_train=0.6,\n",
|
||
" frac_val=0.15,\n",
|
||
" frac_test=0.25,\n",
|
||
" random_state=None,\n",
|
||
"):\n",
|
||
" \"\"\"\n",
|
||
" Splits a Pandas dataframe into three subsets (train, val, and test)\n",
|
||
" following fractional ratios provided by the user, where each subset is\n",
|
||
" stratified by the values in a specific column (that is, each subset has\n",
|
||
" the same relative frequency of the values in the column). It performs this\n",
|
||
" splitting by running train_test_split() twice.\n",
|
||
"\n",
|
||
" Parameters\n",
|
||
" ----------\n",
|
||
" df_input : Pandas dataframe\n",
|
||
" Input dataframe to be split.\n",
|
||
" stratify_colname : str\n",
|
||
" The name of the column that will be used for stratification. Usually\n",
|
||
" this column would be for the label.\n",
|
||
" frac_train : float\n",
|
||
" frac_val : float\n",
|
||
" frac_test : float\n",
|
||
" The ratios with which the dataframe will be split into train, val, and\n",
|
||
" test data. The values should be expressed as float fractions and should\n",
|
||
" sum to 1.0.\n",
|
||
" random_state : int, None, or RandomStateInstance\n",
|
||
" Value to be passed to train_test_split().\n",
|
||
"\n",
|
||
" Returns\n",
|
||
" -------\n",
|
||
" df_train, df_val, df_test :\n",
|
||
" Dataframes containing the three splits.\n",
|
||
" \"\"\"\n",
|
||
"\n",
|
||
" if frac_train + frac_val + frac_test != 1.0:\n",
|
||
" raise ValueError(\n",
|
||
" \"fractions %f, %f, %f do not add up to 1.0\"\n",
|
||
" % (frac_train, frac_val, frac_test)\n",
|
||
" )\n",
|
||
"\n",
|
||
" if stratify_colname not in df_input.columns:\n",
|
||
" raise ValueError(\"%s is not a column in the dataframe\" % (stratify_colname))\n",
|
||
"\n",
|
||
" X = df_input # Contains all columns.\n",
|
||
" y = df_input[\n",
|
||
" [stratify_colname]\n",
|
||
" ] # Dataframe of just the column on which to stratify.\n",
|
||
"\n",
|
||
" # Split original dataframe into train and temp dataframes.\n",
|
||
" df_train, df_temp, y_train, y_temp = train_test_split(\n",
|
||
" X, y, stratify=y, test_size=(1.0 - frac_train), random_state=random_state\n",
|
||
" )\n",
|
||
"\n",
|
||
" # Split the temp dataframe into val and test dataframes.\n",
|
||
" relative_frac_test = frac_test / (frac_val + frac_test)\n",
|
||
" df_val, df_test, y_val, y_test = train_test_split(\n",
|
||
" df_temp,\n",
|
||
" y_temp,\n",
|
||
" stratify=y_temp,\n",
|
||
" test_size=relative_frac_test,\n",
|
||
" random_state=random_state,\n",
|
||
" )\n",
|
||
"\n",
|
||
" assert len(df_input) == len(df_train) + len(df_val) + len(df_test)\n",
|
||
"\n",
|
||
" return df_train, df_val, df_test"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"hazardous\n",
|
||
"False 81996\n",
|
||
"True 8840\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Обучающая выборка: (54501, 6)\n",
|
||
"hazardous\n",
|
||
"False 49197\n",
|
||
"True 5304\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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gWFpaKt5LpVKcOHECAwYMQOPGjRXTmzZtqugml5N/9r755hul6TNnzgQAlXasDBMTE9y7dw+xsbFVnhcobbu0tDTEx8dj9erVEAgE8PPzq3Ceo0ePon379ujUqZNimoGBASZMmIDExETFEAxQ2r4zZsxQmr/8+hobG+OTTz7Bnj17FF3QUqkUe/fuxYABA6Cvrw/gf1dEPH/+vML4qrpNCwoKkJaWhsOHD8PY2Bjjxo1Tqmv69OkoKipCZGRkhcutDMYYIiIi8PHHH4MxpnQ88ff3R3Z2tsZ9+M8//8S1a9ewdOnSKi0zOzsbaWlpePr0KX7++WfIZDLFsausjIwMxXdAZVhbW2PUqFGK9+ra6ujRoxAIBCpXY8ycOROMMRw7dkxp+ocffggfHx/F+8aNG+OTTz7BiRMnVIYc09PT4e/vD0NDQ/z1119Kx6a3aWd1qjXcsGHDBnh4eEBLSwvW1tbw9PRUOhDLZDKsXbsWGzduREJCgtIKyockgNJhCk9PT2hp1ew9ndzd3ZXe83g8uLm5KcbG5AeVMWPGaKwjOzsbpqamivdpaWkq9ZYXGxsLxpjGcuWHBeTX/1Z0fXxsbCyys7M1XjaVkpKi9P7kyZNKB/LKWLBgAezs7DBx4kSVse3Y2Fg8ePBAY53ll6/Oixcv0K9fP+Tn5yM9PV1jAliZ9gCAI0eOYPHixbh165bSeHbZep88eQI+n49mzZpprEc+TKapKw8AkpKSAJSOD5fXpEkTREVFKU179uyZUlvZ2toiIiKiUvdAEIlEKu1samqqcu5JZda/rPHjx+PJkyf4559/lD5/ABAWFoaVK1fi4cOHKCkpUUx3dnZWqaf8tNTUVBQWFqrd3z09PZW6hpOSksDn8+Hm5qZUzsbGBiYmJop2ropFixbhk08+gYeHB7y8vNC7d2+MGjUKLVu2rNT8bdq0UfxfKBRi/fr1aocZy0pKSkKHDh1UpsuTwKSkJHh5eYHH48HOzg5GRkZK5eTHyrLj9KNHj8bevXtx8eJF+Pr6IjIyEsnJyUpfQt7e3hCJRAgODsamTZsUx6aSkhKV40pVtuny5csVSbu3t7dKXfL1Kn9eQXWkpqYiKysLW7duxdatW9WWUXc8kUqlmDt3LkaMGFHpbSs3YMAAxf/5fD5++OEHtfepKPv5trKywvjx4xEcHKxIqMvi8Xjw8PBQ+fFRvq2SkpJgZ2en9IO1bLny+7y6z5GHhwcKCgqQmpoKGxsbxfT+/fvj0aNHsLKyUjm/obrtrEm1vp3bt2+vuLpBnZ9++gnz5s3DuHHj8OOPP8LMzAx8Ph/Tp09X+YXOBXkMy5cv1zhGV/agXlxcjFevXr1xnFMmk4HH4+HYsWNqd67yXxSvX78GAKWNr65OKysr7N69W+3fy3+pdOjQAYsXL1aatn79ehw6dEjt/A8ePEBoaCjCw8PVntsgk8nQokULrFq1Su38Dg4OGmOXi4uLQ5s2bbB69WqMGjUKYWFhahO0yrTHxYsXERAQAF9fX2zcuBG2trbQ1tbGzp07VU425IK1tTXCw8MBlCaaO3bsQO/evREVFYUWLVpUOK+6faa8qq7/2rVrsWfPHoSHh6vs6+Hh4Rg7diwGDBiA//znP7CysoJAIEBISIgigSqrbA9Gdb1ND2H5X1O+vr548uQJDh06hJMnT2Lbtm1YvXo1Nm/ejKCgoDfWFx4eDmtra4jFYpw5cwZTpkyBSCRSOkmtuqrSVv7+/or9xtfXF+Hh4bCxsVE6N8La2hrr1q3DlClT4OHhoTR/2d6Pqm7TUaNGYfTo0WrPr6pp8uPuyJEjNf5AU5cEbN++HYmJiThx4kSVl7lixQq0atUKJSUluHbtGhYvXgwtLS0sWLBAqVxERASMjIxQUFCAAwcOYMmSJTAyMsLs2bNV6qyJz8HbevjwIY4dO4ahQ4di5syZ2Llzp+Jv1W1nTWrltsz79+9H165dsX37dqXpWVlZsLCwULx3dXXFlStX1GbDb6N89yNjDHFxcYqGkZ8QaWRkVOFJSnIxMTEoKSmpMDGS18sYg7Ozs8oHWZ379++Dx+Op/ZVats7IyEh89NFHldo5LSwsVNapopML58yZg9atW+Ozzz7TuPyYmBh079692gd4+VCPtbU1Dh06hJkzZ6Jv374qCU5l2iMiIgIikQgnTpxQGpYo+yGRxy2TyXD//n2NiaB8P7h7967KL1w5+c1RHj16pNJN+ejRI5Wbp4hEIqX2DwgIgJmZGdavX6/xrP+qqOz6A6UJxaxZszB9+nSMGDFC5e/79++Hi4sL/vzzT6VtW/4AqomlpSV0dXXVdvc/evRI6b2joyNkMhliY2OVhl6Sk5ORlZWl1I6mpqZKd9kD/peol2dmZobAwEAEBgYiLy8Pvr6+WLhwYaWShI8++ghOTk4ASn+Z3bt3DyEhIRUmCY6OjirrBpQetOV/B0p/tZ88eRK5ublKvyQfP34MmUymWC5QmhwOHz4coaGhWLZsGQ4ePIjx48erJI1BQUEYNGgQ7t69qxiakw9fyFV1m7q4uKBHjx7w8PDApUuXVI7F8vUqG291WVpawtDQEFKptFLHXaB0OCQ4OBiTJ0+u1o2KfHx8FFdd9OnTBy9evMCyZcswb948pZ4AX19fxXdTQEAALl26hOPHj6tNEpydnXHjxg3IZDKlOsq3laOjIyIjI1X2gfL7ipy6z9Hjx4+hp6encqz866+/0LlzZ4SEhGDq1KkYOXIkunfvDqB67VyRWrkrhUAgUOkC2bdvn8olY4MHD0ZaWhrWr1+vUkf5+avit99+Q25uruL9/v378erVK/Tp0wdA6Y7j6uqKFStWIC8vT2X+1NRUldgFAoHaywvLGjRoEAQCAYKDg1XiZ4whPT1d8V4ikSAiIgLt27evsCt66NChkEql+PHHH1X+JpFIVA6mVXH58mUcOnQIS5cu1ZgADB06FC9evFB7eU9hYWGlxvA8PDwUZ7uvW7cOMplM5fallW0PgUAAHo+n9KsyMTFRJREaMGAA+Hw+Fi1apNJ7Jd82vXr1gqGhIUJCQlTO25CXadu2LaysrLB582alrv1jx47hwYMHSldTqFNcXAyJRFKpy0Uro7Lr/+rVKwwdOhSdOnXSeA6I/Euo7L565coVXL58udKx+Pv74+DBg3j69Kli+oMHD1R+9cmvTFqzZo3SdHkPVdl2dHV1Vbn0a+vWrWrHZcsyMDCAm5tbtdu6sLDwjfP27dsXV69eVWqj/Px8bN26FU5OTorhrb59+0Iqlaoc29StL1D6iz4zMxMTJ05EXl4eRo4cqXb5ZmZm8PX1RY8ePdCjRw+lIVGg+tu0d+/eyM7ORmhoqGKafNhYKBTWyJeNQCDA4MGDERERgbt376r8vfxxFyjtCcvPz8f333//1ssHSrexRCKBRCLRWIYxBsaYxp69vn374vXr19i7d69imrq20rQPrF69GjweT/F9JHf58mWlcwWePXuGQ4cOoVevXiqxyK/+mjx5Mjp27IiJEyeisLAQQPXauSK10pPQv39/LFq0CIGBgejYsSPu3LmD3bt3w8XFRanc6NGj8dtvv+Gbb77B1atX0blzZ+Tn5yMyMhKTJ0/GJ598Uq3lm5mZoVOnTggMDERycjLWrFkDNzc3jB8/HkDp2NS2bdvQp08fNG/eHIGBgbC3t8eLFy9w9uxZGBkZ4fDhw8jPz8eGDRvwyy+/wMPDA+fOnVMsQ55c3L59G5cvX8aHH34IV1dXLF68WHGZ04ABA2BoaIiEhAQcOHAAEyZMwKxZsxAZGYl58+bh9u3bOHz4cIXr4ufnh4kTJyIkJAS3bt1Cr169oK2tjdjYWOzbtw9r167FkCFDqtVOJ0+eRM+ePSs8AIwaNQp//PEHJk2ahLNnz+Kjjz6CVCrFw4cP8ccff+DEiRNv7GEpy8bGBsuXL0dQUBBGjhyJvn37Vqk9+vXrh1WrVqF3794YPnw4UlJSsGHDBri5ueH27duKcm5ubvj+++/x448/onPnzhg0aBCEQiGuXbsGOzs7hISEwMjICKtXr0ZQUBDatWuH4cOHw9TUFDExMSgoKEBYWBi0tbWxbNkyBAYGws/PD8OGDVNcAunk5KRyYlp+fr7ScMOuXbsgFosVl8a9rcqu/7Rp05CamorZs2fj999/V6qjZcuWaNmyJfr3748///wTAwcORL9+/ZCQkIDNmzejWbNmapNndYKDg3H8+HF07twZkydPhkQiwbp169C8eXOleFq1aoUxY8Zg69atyMrKgp+fH65evYqwsDAMGDAAXbt2VZQNCgrCpEmTMHjwYPTs2RMxMTE4ceKEUi8kADRr1gxdunSBj48PzMzMEB0djf3792Pq1KmViv3gwYOwsLBQDDdcvHjxjZeGfffdd9izZw/69OmDadOmwczMDGFhYUhISEBERITil2Xfvn3Ro0cPfP/990hISEDr1q1x5swZREREYNKkSSrnwXh7e8PLy0txonDZ8yWqorrbNCgoCJs3b8bkyZNx584deHp64tChQzh16hRCQkJUzmV59OgRjh8/rnifl5cHPp+vNE3e43L+/HkYGRnBzMwMS5cuxdmzZ9GhQweMHz8ezZo1Q0ZGBm7cuIHIyEhkZGQoLefkyZNYsmSJyvIr69SpU3j+/LliuGH37t0ICAhQucHVmTNnlIYb4uLiNO4LX3zxBTZt2oSxY8ciOjoazs7OOHjwIE6fPo2lS5cqYv3444/RtWtXfP/990hMTESrVq1w8uRJHDp0CNOnT1e6xB8oPTfK399f6RJIoPQzpgmPx8O2bdvQunVrLFiwAD///DMAVLmdK1Tp6yDY/y4dunbtWoXlxGIxmzlzJrO1tWW6urrso48+YpcvX1a5XIex0su5vv/+e+bs7My0tbWZjY0NGzJkCHvy5AljrHqXQO7Zs4fNmTOHWVlZMV1dXdavXz+lS7Tkbt68yQYNGsTMzc2ZUChkjo6ObOjQoez06dNKy37Tq+zlMYwxFhERwTp16sT09fWZvr4+a9KkCZsyZQp79OgRY4yxr776ivn6+rLjx4+rxKTukj/GSi+l8/HxYbq6uszQ0JC1aNGCzZ49m718+VJRpqqXQPJ4PHb9+nWl6eq2UXFxMVu2bBlr3rw5EwqFzNTUlPn4+LDg4GCWnZ2tsrw31ccYY926dWONGzdmubm5VW6P7du3M3d3dyYUClmTJk3Yzp07Nbbbjh07mLe3tyJuPz8/durUKaUyf/31F+vYsSPT1dVlRkZGrH379mzPnj1KZfbu3auox8zMjI0YMUJxya+c/DJG+cvAwIC1adOG7dq1q8I2ks+rr69fY+svvwRP3Ut++ZhMJmM//fQTc3R0ZEKhkHl7e7MjR46oXMpZ0WeQMcbOnz/PfHx8mI6ODnNxcWGbN29WG3dJSQkLDg5WfNYdHBzYnDlzmFgsVionlUrZt99+yywsLJienh7z9/dncXFxKpeiLV68mLVv356ZmJgwXV1d1qRJE7ZkyRJWXFxcYVvLj2Pyl46ODnNzc2Pz589XiUWdJ0+esCFDhjATExMmEolY+/bt2ZEjR1TK5eXlsRkzZjA7Ozumra3N3Nzc2NKlS1UuyZX7+eefGQD2008/vTEGufKfr8puU8ZULzVNTk5mgYGBzMLCguno6LDmzZuzrVu3Ks1T2WNi+VfZSxGTk5PZlClTmIODg+KY3717d6VlyY/ltra2LD8/v8K41ZHPL39paWkxR0dHNm3aNJaZmakoJ99P5S9dXV3WrFkztnr1akWZ8vsdY4ylpKSwcePGKdrKy8uL/frrrypx5ObmKu0D7u7ubPny5UqX3svXacqUKSw8PFzx2fb29lZqt7LxlhccHMy0tLTYjRs3FNMq086Vwfv/AN8L586dQ9euXbFv375q/7ouKzExEc7OzkhISNA4Jrdw4UIkJiYqddMRQkhVrV27FjNmzEBiYqLSJaX1nZOTE0JDQ1XuyEj+h8fjYcqUKWqH3rlGj4omhBCOMcawfft2+Pn5vVcJAqn/auWchPeFgYEBRowYUeGJdC1btlTcZpoQQqoiPz8ff/31F86ePYs7d+5ovFS5PvPz84OZmRnXYZBqoiShAhYWFoqT0DQZNGjQO4qGEPK+SU1NxfDhw2FiYqJ4LPL7JiwsjOsQyFt4r85JIIQQQkjNoXMSCCGEEKIWJQmEEEIIUYuSBEIIIYSoRUkCIYQQQtSiJIEQQgghalGSQAghhBC1KEkghBBCiFqUJBBCCCFELUoSCCGEEKIWJQmEEEIIUYuSBEJIreLxeBW+Fi5cyHWIhBAN6AFPhJBa9erVK8X/9+7di/nz5+PRo0eKaWWfssoYg1QqhZYWHZoIqQuoJ4EQUqtsbGwUL2NjY/B4PMX7hw8fwtDQEMeOHYOPjw+EQiGioqIwduxYDBgwQKme6dOno0uXLor3MpkMISEhcHZ2hq6uLlq1aoX9+/e/25Uj5D1H6TohhHPfffcdVqxYARcXF5iamlZqnpCQEISHh2Pz5s1wd3fHhQsXMHLkSFhaWsLPz6+WIyakYaAkgRDCuUWLFqFnz56VLl9UVISffvoJkZGR+PDDDwEALi4uiIqKwpYtWyhJIKSGUJJACOFc27Ztq1Q+Li4OBQUFKolFcXExvL29azI0Qho0ShIIIZzT19dXes/n88EYU5pWUlKi+H9eXh4A4O+//4a9vb1SOaFQWEtREtLwUJJACKlzLC0tcffuXaVpt27dgra2NgCgWbNmEAqFePr0KQ0tEFKLKEkgpAHJLihBcq4YablFSM0rQnpeMdLyilBQLIVEJkM3/SR0Kz4HCHQALZ3Sf4VGgLkrYO4OmDoBgto/bHTr1g3Lly/Hb7/9hg8//BDh4eG4e/euYijB0NAQs2bNwowZMyCTydCpUydkZ2fj0qVLMDIywpgxY2o9RkIaAkoSCHkPSWUMj17n4sGrHDx8nYOHr3Px4FUu0vKKKpzPy+Uu8PJXzQX42oCZM2DhAZi7ARbupf+38AB0TWosfn9/f8ybNw+zZ8+GWCzGuHHjMHr0aNy5c0dR5scff4SlpSVCQkIQHx8PExMTtGnTBnPnzq2xOAhp6His/MAfIaReSkrPx4XYNFx8nIrL8enIFUuqXMdSlzv4/GVINZbOA2xbAu69Sl/2bQE+3YaFkPqOehIIqcduPs3EXzEvcfpBCp5mFHAYCQNexZS+LiwHdM0Aj96A1yDApes7GaIghNQ8+uQSUs+8zhZjX/QzRNx4jsR0LhODChRmADH/LX3pmgHNAoAWQwGnj7iOjBBSBZQkEFJP3HyaiY3nnuDMwxRIZfVolLAwA7geWvpq1A7w+xZwr/yNkwgh3KEkgZA67mJsKjaefYLL8elch/L2nl8Ddg8B7NqUJguevbmOiBBSAUoSCKmjzj1KwepTjxHzPJvrUGreyxvAns8A21b/nyz0BXg8rqMihJRDSQIhdUxiWj4WHbmPMw9TuA6l9r2KAX4fDti0AHz/AzQNoGSBkDqEkgRC6oiCYgnWnYnD9qgEFEtkXIfzbr2+A/wxGnDqDASsK70XAyGEc3QhMyF1wLlHKei24jw2nXvS8BKEshIvAps+Aq5sAegWLoRwjnoSCOFQkUSKkKMPEXY5kb4T5UrygWOzURx3Hsl9tsHBTI/riAhpsKgngRCOPE7OxSfrLyH0H0oQ1AnNbYe+v1zEXzEvuQ6FkAaLkgRCOPDfK0/x8booPHydy3UodVJio0/wU6IHcsUSTNtzE/MO3oVE2oCHYQjhCA03EPIOSWUMwYfv4bfLSVyHUmdJjBzw+bOBStN2/ZuExPR8bBjRBkYibY4iI6ThoZ4EQt6RvCIJAkOvUYJQAcbjI1hrGl4X6aj87WJsGgZt/AdJ6fkcREZIw0RJAiHvQEqOGJ9tuYwLj1O5DqVOu9FoDHa9tNf497iUPAzYcAnRiRnvMCpCGi5KEgipZck5Ygzdchn3XuZwHUqdVmjhhZHx3d5YLrOgBKN3XMXVBEoUCKltlCQQUotScsUY9uu/dfdpjXUE09LFlwVfolAqqFT5gmIpAndepR4FQmoZJQmE1JL0vCKM+PUK4lNpDP1N/raZhHMZplWaJ79YirE7r+F6EiUKhNQWShIIqQVZBcUYse0KYlPyuA6lzku39cXUuHbVmjevSIIxO67h9vOsmg2KEAIA4DFGt3EhpCaVSGUY/uu/uJaYyXUobyQrKkDWxXAUxF6GrCAbbo1tsLtbOtrZq+/2H3uwEGExJSrTm1nycW+yAQBg9+0SfHdajLxihsDWOljlL1KUS8ySodeuAkRP0IeRkAeZrjn6lSzDg7y3u6uilaEQf03tBBtj0ZsLE0Iqje6TQEgNm3/oXr1IEAAg/fg6lKQmwaL/TAgMzNDy5V702PUU9ycbwN5ItaNxbW8RlvYQKt5LZECrzfn4tFnpoSStQIagw4UI/UQXLqZ89PtvAbo5C9Dfo/TeBpP/FmNpDyGMhKVPetxiNA0Pkt7+tsspuUUY/1s0/pj4IXR1KndeAyHkzWi4gZAatOtyIvZcfcp1GJUiKylCwaNLMOkaCJGDF7RN7TDk4x5wM+NjU3Sx2nmMRTzYGPAVr+iXUmQWlvYYAEB8JoOxkIfPvLTRzl6Ars4CPEgtvVPinjsl0BYAg5qWJgwJjQZgWZJ7ja3PnRfZmLUvBtQ5SkjNoSSBkBpy+Uk6gg/f5zqMypNJASYDT6B8B0NdLR6inkorVcX2myXo4SKAo0npocTdjI+CEoabr6TIKGS49kKKltYCZBYyzDsrxvo+pcMBJUaOGPp0YEVVV8vfd15h7enYGq+XkIaKkgRCakBaXhGm/vcGJLL68yuWL9SD0K4Jsv/5HZLcdDCZFBf/vYnLz6V4lffm9XiZK8OxWAmC2vzv7oimujyEDdDF6IOFaP9rHka30oa/mxZmnRRjansdJGTJ4L0lH3bL05F4+0qtrNcvp2Nx+Ul6rdRNSENDJy4SUgMm7orGiXvJXIdRZSWZr5B+bC2Knt0FeHy4OtrhA8NkXH8lxYMpBhXOG3KxCCsvF+PlTAPoCHgay51PlGDWKTHOj9WH2y95mP/lEPyY2R2vfvsG9hO2QqBvUsNrBdgai3Ds684w0VO9vTMhpPKoJ4GQt3Tg5vN6mSAAgLapLWyGL4XDjP2wnxyKxXOmoETG4GJa8aGBMYYdt0owqqV2hQlCkYRh8lExtvTXRVyGDCXQwmqtUdA2bwRtM3sUvXpU06sEAHiVLcb8Q/dqpW5CGhJKEgh5C6+zxVjwHnwZ8XVE0DIwQ15+IU7ESfCJZ8UXPp1PkiIuQ4Yv2lT8RMbFF4rQ21ULbWwFkPBFyJHqoEhWethhMgkgq73HP/8V8xLH776utfoJaQgoSSDkLXz3523kiCVch1FthfHXURh/HSVZr1GYcBOLV/2KJhYCBLYu/fKfEynG6AOFKvNtv1mCDvYCeFlpvtzwfqoUe+9JsKhr6SWTcc2+hAQC5MacRMGTayhJfw4d25q7ukGdHw7eRV5R/d0+hHCN7pNASDWduPca5x7V76c6yooKkHUhDJLcNAhEhujezhN/dMiD9v8PIbzKY3iarfxrP1vMEHG/BGt7a75xEWMMEw6LscpfCH0dHtLsumB2/Acw78tHxqlNYNISmPWcBC1Di1pdv7S8Imw4G4dvezep1eUQ8r6iExcJqYZiiQw9V59H0nv24KalLnfw+cuQGq1TpmuB3sXL8Dhft0brrSwdLT5Of+MHB7O3v2kTIQ0NDTcQUg2/XU587xKE2rLB8GvOEgSgNKFbevwhZ8snpD6jJIGQKsoRl2DD2Tiuw6gX4hwGY+VTV67DwN+3X9FjpQmpBkoSCKmibRcTkFmg+pAjoqzE2BmfJQVwHYbCqlOPuQ6BkHqHkgRCqqCwWIpdlxO5DqPOY3wtzOV9hfTiii+RfJf+eZKOuy+yuQ6DkHqFkgRCqmD/jefUi1AJV+wDse+1DddhqNhyIZ7rEAipVyhJIKSSGGPYGZXAdRh1Xr5la4x54sd1GGodvfMKzzPphFNCKouSBEIq6fSDFMSn5XMdRp3GtPUxIW+i4q6KdY1UxrCdEj1CKq1ufpIJqYPC6FyENzpgNRmXMo25DqNCEdefo0hSuUdhE9LQUZJASCWk5IpxKS6N6zDqtFS7bvjmiTfXYbxRjliCsw/r950yCXlXKEkgpBKO3n4FGd2bVCOZniU+fz2C6zAq7a+YF1yHQEi9QEkCIZVw+PYrrkOo034x+BpPCri7q2JVnX6QQg9+IqQSKEkg5A1eZBXixtNMrsOosx47fIo1T124DqNKiiQyeow0IZVASQIhb3DszivQY9DUKzZxwWeJH3MdRrVQkkDIm1GSQMgbRNEJi2oxvhbmsK+QWVI/nzj/b3w6JFLZmwsS0oBRkkBIBaQyhuhEGmpQ5x/7LxCRbM11GNWWVyTBzWdZXIdBSJ1GSQIhFbj3MptOcFMjz7INxj7x5TqMt/bvk3SuQyCkTqMkgZAKXImnxwuXx3T0EZQ7HiUyHtehvLWr9PhoQipESQIhFbiSQL80y9tvMQX/ZtXtuypW1s2nWWB0ViohGlGSQEgFbj+nRwuX9dquJ/4T35rrMGpMXpEEL7PFXIdBSJ1FSQIhGmQVFCMlt4jrMOoMqb4Vhr8exnUYNS42OZfrEAipsyhJIESD2JQ8rkOoU9bof434AhHXYdS4ONrOhGhESQIhGiTQY6EVHjp8hnVPnbkOo1bEJlOSQIgmlCQQokFSOiUJAFBs4obPEvtxHUatiUulJIEQTShJIESDF5mFXIfAOcbXxmw2Fdn19K6KlZGcQycuEqIJJQmEaJBVWMJ1CJy7aB+Eg8lWXIdRq7ILaDsTogklCYRokNPAk4Rcq7YIjPuI6zBqXW6RBCX0DAdC1KIkgRANshtwksB0DBCYPR5S1jAOEVnUm0CIWg3jCEBINeSIG+4zG/ZafIXobEOuw3hnsgqKuQ6BkDqJkgRCNGioww2v7Xvhu/gWXIfxTuUXS7kOgZA66f09ZZmQt9QQ7+ifVGKIz9M+5zqMd07Aq/8PqyKkNlCSQIgGOgI+iiUN64S2Tc+cuA6BEwI+JQmEqEPDDYRooKNFH4+GQktASQIh6tBRkBANtOmLo8GgngRC1KMkgRANtAX08WgotPm0rQlRhz4ZhGhgIKRTdhoKE31trkMgpE6iJIEQDWyN37/HIhNVOlp8GIkoSSBEHUoSCNHA1kSX6xDIO2BpIOQ6BELqLEoSCNHAjnoSGgR7SgYJ0YiSBEI0sDWmL4+GwN6UtjMhmlCSQIgG9OXRMDhb6HMdAiF1FiUJhGjgad1wHnDUkHnZG3EdAiF1FiUJhGhgqq9DVzg0AF52xlyHQEidRUkCIRXwsqcvkPeZpaEQVkaUCBKiCSUJhFSgtYMJ1yGQWuRlR0MNhFSEkgRCKuDd2ITrEEgtatnIhOsQCKnTKEkgpAJtGptCV1vAdRiklvh6WHIdAiF1GiUJhFRApC3AR27mXIdBaoGpnja8aTiJkApRkkDIG3RrYs11CKQW+HpYgk+PiCakQpQkEPIG3ZtagUffJe+drp5WXIdASJ1HSQIhb2BtJKJr6d8zAj4PfnQ+AiFvREkCIZXQp4UN1yGQGtTFwxKm+jpch0FInUdJAiGVMMSnEbRo/Pq9MbSdA9chEFIvUJJASCVYGYrQvSmNYb8PLA2F6N6EtiUhlUFJAiGVNKx9Y65DIDVgUBt7aAno0EdIZdAnhZBK8nW3RCN6fHS9xuMBQ9vSUAMhlUVJAiGVxOfzMOoDR67DIG+hm6cVXC0NuA6DkHqDkgRCqmDUh44wp7Pi660p3dy4DoGQeoWSBEKqQE9HCxP9XLgOg1RDR1dztGlsynUYhNQrlCQQUkWjPnCChYGQ6zBIFc3s5cF1CITUO5QkEFJFujoCTKLehHqli6clfBzNuA6DkHqHxxhjXAdBSH0jLpGi5+rzeJZRWON1y4oKkHUxHAWxlyEryIaOlQtMe0yA0Lb0lzBjDNlRu5EXcwKyonwI7ZvCrNdkaJvZa6wz9+ZR5N48Ckl2MgBA26IxTDoOg65rW0WZjNO/Iv/uafC0RTDxGwOD5l0Vf8t/GIX8u6dhNWRBja9vbdMR8HF8eme40AmLhFQZ9SQQUg0ibQHm929eK3WnH18HceItWPSfCdtx6yFy9kby7z9AkpsGAMi5EoGc64dh5j8FNqNWgqctQsof88EkxRrrFBiaw9RvDGzHrIHtmDUQObZCyp+LUZyaBAAoiLuC/AfnYTX0R5h2CUTG8XWQFmQDAGRF+ci68BvMen1ZK+tb2yb4ulCCQEg1UZJASDX1bGaNHjV8F0ZZSREKHl2CSddAiBy8oG1qB5NOI6Btaovcm8fAGENu9CEYf/gZ9Nw/gI6VMyz6fwNJXgYKHl/WWK+eWwfouraDtpk9tM3sYeo7GnwdEYpePgIAlKQ/g8ihBYS27tBv5geejp6i1yHz7E4YeveFllH9u0uhg5kuptIVDYRUGyUJhLyFRZ94wUCoVXMVyqQAk4En0FaazNMSouj5PUiykyHNz4SuU2vF3/hCfQjtPFH08mGlFsFkUuTfPw9ZiRhC+yYAAB1LZxS/joNUnIei13FgkiJomdpB/PweipOfwNDn4xpbxXcpOKA5RNoCrsMgpN6qwaMbIQ2PnYkuZvf2xPxD92qkPr5QD0K7Jsj+53domztAoG+C/AcXUPTyIbRMbSHNyywtp2+iNJ9AzwTS/KwK6y5OTcTrXbPAJMXg6ejCauD30LEovdW0rosP9Jt3weuwGeBp6cCi3wzwtYXIOLER5v1mlJ7TcOMIBLpGMPOfCh3Lun9TqX4tbdGtiTXXYRBSr1GSQMhbGvWBI84/SsXphyk1Up95/5lIP7YWLzaOAXh86Ni4Qr+pL4pex71Vvdpm9rAN/AWyogIUPIpC2t+rYT18qSJRMOk0AiadRijKZ0X9FyKn1uDxBci+vBd24zagMO4q0v9eBduxa98qltrmYKaLkEEtuA6DkHqPhhsIeUs8Hg8rh7aCvUnNPNdB29QWNsOXwmHGfthPDoXt6NVgMim0TWwgMCi9GZCsXK+BtCALgnK9CypxCrShbWoHoY0bTP3GQsfKGbnRf6ktW5L+DPn3z8Kk80iIn96BqJEXBHrG0GvSGcXJTyArKqiJVa0V2gIe1g1rAyOR9psLE0IqREkCITXARE8H64Z7Q1vAq7E6+ToiaBmYQSrOQ2HCDei6fwAtY2sI9E0hTrqlKCcrKkDRy0cQ2jWpUv2MMTBpidrp6Sc2wLRbEPg6ugCTgckk/7+w//+Xyaq7WrXuP/6eaO1gwnUYhLwXKEkgpIa0aWyKb3tX7YtancL46yiMv46SrNcoTLiJ5D1zoG3WCAYteoDH48Gw7SfI/mcvCmKvoDg1EWl/r4KWgRn0PD5U1JH8+1zkXD+seJ95PhTiZ3chyU5GcWoiMs+HoujpHeg366Ky/LyYExDoGkHPrQMAQGjfFOKk2yh68RA51w5B27wx+KK6eUlhV09LjO9MN7oipKbQOQmE1KCgzi649zIHB26+qHYdsqICZF0IgyQ3DQKRIfQ8O8LEdzR4gtKPq1GHwWAlYqSfWAeZOB+iRs1gNXQReFr/e/BUSeZrCAtzFO+l+dlIO7IK0vwM8IX60LF0gtXQRdB19lZatjQ/E9mX/4DNyOWKaUI7Txi1H4iU/cHg6xnDot+Maq9bbWpqa4RfhnmDx6u53hxCGjq64yIhNaxEKsO40Gu4GJvGdSgNhr2JLv6c3BHWRiKuQyHkvULDDYTUMG0BH5tH+qBlI2OuQ2kQjERaCA1sRwkCIbWAkgRCaoG+UAs7xraDk7ke16G813S0+Ng6ui3crQ25DoWQ9xIlCYTUEgsDIXZ90QGNzShRqA0ibT62jW6LD1zMuQ6FkPcWnZNASC1LyRFj9I6rePg6l+tQ3ht6OgJsG9MWHV0tuA6FkPcaJQmEvAPZBSUIDL2KG0+zuA6l3jPV08bOwPZ0LwRC3gFKEgh5RwqKJZi46zpd9fAWGpnqIjSwHdys6BwEQt4FShIIeYdKpDIsPnIfYZeTuA6l3unsboF1w7xhoqfz5sKEkBpBSQIhHNgX/Qw/HLyLIkndvb1xXTK5iytm9fIEn083SiLkXaIkgRCOPHiVgym7byA+LZ/rUOosA6EWVnzaEr29bLkOhZAGiZIEQjiUVyTBkr8f4PdrT0GfRGUdXc2xbHBLONAlpIRwhpIEQuqAy0/SMffAHSRQrwIMhVqY07cphndozHUohDR4lCQQUkeIS6RYExmLbRfjIZE1zI9lF09LhAxqAVtjXa5DIYSAkgRC6pz7L3Pw84mHOPcoletQ3pkmNoaY3dsT3ZpYcx0KIaQMShIIqaOuJmRg+YmHuJaYyXUotcbeRBcze3lgQGt7unKBkDqIkgRC6rizj1Kw+tRj3H6ezXUoNcbOWISgzi4Y8UFjCLUEXIdDCNGAkgRC6okbTzOx63IS/r7zCsX19P4K3o1NEPiRM/p62UBLQM+XI6SuoySBkHomPa8Ie6Of4b9XnuJ5ZiHX4byRiZ42+rawxYgOjdHczpjrcAghVUBJAiHvWGhoKKZPn46srKy3qocxhlvPsnD0ziucuJeMpxkFNRNgDbAwEMK/uTX6eNniAxcz6jUgpJ7S4joAQuqrsWPHIiwsTGV6bGws3Nzcan35PB4P3o1N4d3YFN/3a4bY5FycfpiCawkZuPksCxn5xbUeg5yutgCtHUzQ1skUndws0M7JjE5EJOQ9QEkCIW+hd+/e2Llzp9I0S0tLTmJxtzaEu7UhJvm5AgAS0/Jx42kmbj7NwsPXOXiWUYjkXPFb39nRXF8Hjc314GSuj5aNjOHjaIpmtkbUW0DIe4iSBELeglAohI2NjdK0VatWYefOnYiPj4eZmRk+/vhj/PzzzzAwMFBbR0xMDKZPn47o6GjweDy4u7tjy5YtaNu2LQAgKioKc+bMQXR0NCwsLDBw4ECEhIRAX1+/wticLPThZKGPQW0aKaYVSaR4kVmIZ5mFeJlViPwiCQqLpSgsKX2JS6QAeBBp8yHSFsBQpAVjXW2Y6enAwUwPThb6MBDSYYOQhoI+7YTUMD6fj19++QXOzs6Ij4/H5MmTMXv2bGzcuFFt+REjRsDb2xubNm2CQCDArVu3oK2tDQB48uQJevfujcWLF2PHjh1ITU3F1KlTMXXqVJUejMoQagngYmkAF0v1CQshhJRFJy4SUk1jx45FeHg4RCKRYlqfPn2wb98+pXL79+/HpEmTkJaWBkD1xEUjIyOsW7cOY8aMUVlGUFAQBAIBtmzZopgWFRUFPz8/5OfnKy2bEEJqGvUkEPIWunbtik2bNine6+vrIzIyEiEhIXj48CFycnIgkUggFotRUFAAPT3VJxp+8803CAoKwq5du9CjRw98+umncHUtPa8gJiYGt2/fxu7duxXlGWOQyWRISEhA06ZNa38lCSENFp1pRMhb0NfXh5ubm+JVVFSE/v37o2XLloiIiMD169exYcMGAEBxsfqrDRYuXIh79+6hX79+OHPmDJo1a4YDBw4AAPLy8jBx4kTcunVL8YqJiUFsbKwikSCEkNpCPQmE1KDr169DJpNh5cqV4PNLc/A//vjjjfN5eHjAw8MDM2bMwLBhw7Bz504MHDgQbdq0wf3799/JJZWEEFIe9SQQUoPc3NxQUlKCdevWIT4+Hrt27cLmzZs1li8sLMTUqVNx7tw5JCUl4dKlS7h27ZpiGOHbb7/FP//8g6lTp+LWrVuIjY3FoUOHMHXq1He1SoSQBoySBEJqUKtWrbBq1SosW7YMXl5e2L17N0JCQjSWFwgESE9Px+jRo+Hh4YGhQ4eiT58+CA4OBgC0bNkS58+fx+PHj9G5c2d4e3tj/vz5sLOze1erRAhpwOjqBkIIIYSoRT0JhBBCCFGLkgRCCCGEqEVJAiGEEELUoiSBEEIIIWpRkkAIIYQQtShJIIQQQohalCQQQgghRC1KEgghhBCiFiUJhBBCCFGLkgRCCCGEqEVJAiGEEELUoiSBEEIIIWpRkkAIIYQQtShJIIQQQohalCQQQgghRC1KEgghhBCiFiUJhBBCCFHr/wBuYWVkfK4c/QAAAABJRU5ErkJggg==",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Контрольная выборка: (18167, 6)\n",
|
||
"hazardous\n",
|
||
"False 16399\n",
|
||
"True 1768\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Тестовая выборка: (18168, 6)\n",
|
||
"hazardous\n",
|
||
"False 16400\n",
|
||
"True 1768\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
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",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Вывод распределения количества наблюдений по меткам (классам)\n",
|
||
"print(df.hazardous.value_counts())\n",
|
||
"print()\n",
|
||
"\n",
|
||
"\n",
|
||
"data = df[['est_diameter_min', 'est_diameter_max', 'relative_velocity', 'miss_distance', 'absolute_magnitude', 'hazardous']].copy()\n",
|
||
"\n",
|
||
"df_train, df_val, df_test = split_stratified_into_train_val_test(\n",
|
||
" data, stratify_colname=\"hazardous\", frac_train=0.60, frac_val=0.20, frac_test=0.20\n",
|
||
")\n",
|
||
"\n",
|
||
"print(\"Обучающая выборка: \", df_train.shape)\n",
|
||
"print(df_train.hazardous.value_counts())\n",
|
||
"hazardous_counts = df_train['hazardous'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))# Установка размера графика\n",
|
||
"plt.pie(hazardous_counts, labels=hazardous_counts.index, autopct='%1.1f%%', startangle=90)# Построение круговой диаграммы\n",
|
||
"plt.title('Распределение классов hazardous в обучающей выборке')# Добавление заголовка\n",
|
||
"plt.show()# Отображение графика\n",
|
||
"\n",
|
||
"print(\"Контрольная выборка: \", df_val.shape)\n",
|
||
"print(df_val.hazardous.value_counts())\n",
|
||
"hazardous_counts = df_val['hazardous'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))\n",
|
||
"plt.pie(hazardous_counts, labels=hazardous_counts.index, autopct='%1.1f%%', startangle=90)\n",
|
||
"plt.title('Распределение классов hazardous в контрольной выборке')\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"print(\"Тестовая выборка: \", df_test.shape)\n",
|
||
"print(df_test.hazardous.value_counts())\n",
|
||
"hazardous_counts = df_test['hazardous'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))\n",
|
||
"plt.pie(hazardous_counts, labels=hazardous_counts.index, autopct='%1.1f%%', startangle=90)\n",
|
||
"plt.title('Распределение классов hazardous в тестовой выборке')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"распределение плохое, соотношение классов сильно смещено, это может привести к проблемам в обучении модели, так как модель будет обучаться в основном на одном классе. В таких случаях стоит рассмотреть методы аугментации данных."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"аугментация данных оверсемплингом(Этот метод увеличивает количество примеров меньшинства)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Requirement already satisfied: imblearn in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (0.0)\n",
|
||
"Requirement already satisfied: imbalanced-learn in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from imblearn) (0.12.4)\n",
|
||
"Requirement already satisfied: numpy>=1.17.3 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from imbalanced-learn->imblearn) (2.1.1)\n",
|
||
"Requirement already satisfied: scipy>=1.5.0 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from imbalanced-learn->imblearn) (1.14.1)\n",
|
||
"Requirement already satisfied: scikit-learn>=1.0.2 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from imbalanced-learn->imblearn) (1.5.2)\n",
|
||
"Requirement already satisfied: joblib>=1.1.1 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from imbalanced-learn->imblearn) (1.4.2)\n",
|
||
"Requirement already satisfied: threadpoolctl>=2.0.0 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from imbalanced-learn->imblearn) (3.5.0)\n",
|
||
"Note: you may need to restart the kernel to use updated packages.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"pip install imblearn"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обучающая выборка после oversampling: (100385, 6)\n",
|
||
"hazardous\n",
|
||
"True 51188\n",
|
||
"False 49197\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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7rW5YQECAeP311w2mza9+ay1atEgAEDt27Chy+RqNRgQFBQkAwsPDQwwaNEgsX77cYDvlNn78eGFpaSns7e3FoEGDDMZrt9fmzZtFQkKCcHZ2Fq+99ppufJk1CejcuTPc3NxQo0YNDBw4EPb29ti2bZuu4bdSqdQ1ulWr1YiPj4e9vT18fX1x9uxZXTm//PILXF1d8d577xks43m6xHn77bfh4OCg+9yvXz94enri119/BQCcP38eUVFRePPNNxEfH4+4uDjExcUhNTUVnTp1wp9//mnwJF1GRgasra0LXO7WrVuh0WgwYMAAXZlxcXGoVq0a6tata3CrVaVSAYDul7AxmzdvRpUqVdClSxe9Mv39/WFvb29QZlZWlt50cXFxhd5euH//Pr766ivMmDHD4Km9zZs3o0GDBqhfv75emdpmIHmXn5+TJ09iwIAB6Nu3b75XT0zZHgB0V3wA4NmzZ0hMTERgYKBe3dq+fTs0Gg1mzpxp0ABcW7cOHDiA5ORkfPzxxwb7VjvN6dOn8fjxY4wbN05vmpCQENSvXx+7d+/Wm0/bF2JcXBzOnz+PH3/8EZ6enmjQoEGB66Q1duxYvc+BgYEG/Sqasv65paamonfv3nB2dsaGDRugUCgA5NzqsbKy0sX99OlTZGdno2XLlkbL6tu3L9zc3HSf1Wo19u3bh169euHFF1/UDW/QoAGCg4P15tUeexMnTtQbrn2AIO92NIWTkxOuXLmCqKioIs8L5Gw7bb+VixYtgkKhQFBQULHKys/48eN1/5fJZBg/fjxUKhUOHjwIQPrjW6uwc2ZpHAe563FycjLi4uIQGBiItLQ03VPJAODu7o579+4VuI5apmyf4tbFtLQ0zJkzB+PHj9er74XJzMxEXFwcHj9+jAMHDuDQoUPo1KmT0fLj4uLw7Nkzg9u6+Zk4caLueAaAIUOGwMPDQ7cORd1vQOF1NrcPP/wQERER2LRpk8FdyaLW7eIydR2fPHmCP//8EyNGjDDYf8byDZVKVeB30YEDB5CQkIBBgwbprZ9CocBLL71k0vpt3LgRcrkcffv21Q0bNGgQ9uzZY1Kzidy0x3ZycnKRy5fJZNi3bx/mzZun+5549913UbNmTbzxxhtISEgwWN78+fNRtWpVyOVy3d2U/FSpUgUTJkzAf//7X5w7d65I65VbsZoELF++HPXq1YOFhQU8PDzg6+urlxRoNBosWbIEK1aswO3bt/XaJOVuCxEdHQ1fX98CLz8XR926dfU+y2Qy1KlTR9feSfsFN3To0HzLSExMhLOzs+5zXFycQbl5RUVFQQiR73R5b39oK0FBXTtERUUhMTFRdxs3r8ePH+t93r9/v15SYYpZs2bBy8sLY8aMMWgLGRUVhWvXruVbZt7lG3P//n2EhIQgNTUV8fHx+f4YMWV7AMCuXbswb948nD9/Xq/NWe5yo6OjIZfL0bBhw3zL0TZladSoUb7T/PPPPwAAX19fg3H169dHZGSk3rC7d+/qbStPT0/88ssvJnXfYW1tbbCdnZ2dDU5cpqx/bqNGjUJ0dDT++usvveMPANauXYsvvvgC169fR1ZWlm64t7e3QTl5hz158gTp6elG67uvr68uMQBytqNcLkedOnX0pqtWrRqcnJx027ko5syZg9dffx316tVDo0aN0K1bNwwZMkT3NHdhct+aUiqVWLZsmdGmQMUll8tRu3ZtvWH16tUDAL1zkZTHt1Zh58zSOA6uXLmC//znPzh06JBBv6GJiYm6/wcEBGDLli0YMGAAWrRoAZlMhpSUFKPrYcr2KW5d/PLLL5GRkYFp06YZJLsF2bhxIzZu3Kj73KpVK6PtpWfNmqVrA2htbY2OHTti8eLFRo8v7bFev359veEKhQJ169Yt9n4zpc5qff311zh+/DgAGE2uilq3i8vUddT+8C/ofJ9bYmJiod/NwL/P8OTl6OhY6DK0z1jEx8cjPj4eANC8eXOoVCps3rxZ1xzBFNpjIvcPz6KUr1QqMX36dEyfPh0PHz7EH3/8gSVLlmDTpk2wtLTE+vXrDdbP19cXcXFxRpuA5fXBBx9g0aJFCAsLw44dO0xer9yKlSm2bt0aLVu2zHf8J598ghkzZmDEiBGYO3cuXFxcIJfLMWHChHz7ACtL2hgWLlxo0E5PK3dFValUePjwYaHt4jQaDWQyGfbs2aP3q9dYmUBOp89AzomyoDLd3d0RERFhdHzek/NLL72EefPm6Q1btmxZvhXk2rVrWLNmDdavX2+0PZFGo0Hjxo3z7S6jRo0a+caudfPmTbRo0QKLFi3CkCFDsHbtWqM/FkzZHkeOHMFrr72Gdu3aYcWKFfD09ISlpSVWr15t8KCUFDw8PHQHdmJiIn744Qd069YNkZGRaNy4cYHzGqszeRV1/ZcsWYINGzZg/fr1BnV9/fr1GDZsGHr16oUPP/wQ7u7uUCgUCA8P1yXzueW+IlZcz3PnJO/DOO3atUN0dDR27NiB/fv347vvvsOiRYuwatUqjBw5stDy1q9fDw8PD2RkZODQoUN49913YW1trfdgV2mT+vguLYUdBwkJCQgKCoKjoyPmzJkDHx8fWFtb4+zZs/joo4/0vic+++wz9OjRA926dSt0uUXZPkWpi3FxcVi4cCGmTp0KFxcXk+cDgK5du+LDDz8EkNOed8GCBejQoQNOnz6td0yNHj0a/fv3h1qtxrVr1xAWFoZevXoZfYCnJI7F53X8+HHMnz8fp06dQmhoKLp16wZXV1fd+KLWbXPy9OlTqFSqQr+bgZx2rMamK+xCXFRUFE6dOgXA8AcjkNOetCgJ6+XLlwFA90Psecr39PTEwIED0bdvX/j5+WHTpk1Ys2bNc11c1F5lDQsLK/ZV1pK9tPk/W7ZsQYcOHfD999/rDU9ISNCr0D4+Pjhx4gSysrJK9GSa9xahEAI3b97UXXnRPszl6OiY7wMWuV24cAFZWVkFJunacoUQ8Pb21v0qLcjVq1chk8mM/jLMXebBgwfRpk0bk05Srq6uButU0INRU6dORbNmzfDGG2/ku/wLFy6gU6dOxU42tLcWPTw8sGPHDkyaNAk9evQwOGGZsj1++eUXWFtbY9++fXq3a1avXm0Qt0ajwdWrV/P9UaKtB5cvXza42qKlbYx+48YNg1/SN27c0I3Xsra21tv+r732GlxcXLBs2bJ8n54vClPXH8hJbidPnowJEyZg8ODBBuO3bNmC2rVr65561jL2pKcx2qdsjd2Sv3Hjht7nmjVrQqPRICoqSu+2cGxsLBISEvS2o7Ozs8EtKO2PxrxcXFwwfPhwDB8+HCkpKWjXrh3CwsJMSljbtGmjeyiiZ8+euHLlCsLDw0ssYdVoNLh165beueDvv/8GAN1ypT6+tQo7Z5b0cXD48GHEx8dj69ataNeunW46bU8zudWpUwdXrlzBpUuXdE/A79+/32jTIlO2T1Hqota8efPg4OCADz74wGBcYTw9PfVi8vX1RUBAALZv345BgwbphtetW1c3XXBwMNLS0jB9+nS9HgW0tHc7bty4oXdFVLtezZs3162rdjpT9pspdVZrxIgRmDZtGh48eICGDRsiNDRU76HEotbt4jJ1HbXbSZvYFUTbA0pBTbm03x/u7u4m5RF5RUREwNLSEuvWrTO4WBEZGYmlS5fizp07JjU/SUlJwbZt21CjRg1dzCVRvqWlJZo0aYKoqChd88bnMWHCBCxevBizZ88u9CFkY0rl1awKhcKgDc7mzZsNupjo27cv4uLisGzZMoMyTG3DY8yPP/6o145jy5YtePjwIbp37w4A8Pf3h4+PDz7//HOjt5aePHliELtCoTDaZUpuffr0gUKhwOzZsw3iF0LoLskDOU+b/vLLL2jdunWBtx0GDBgAtVqNuXPnGozLzs422rbEVMeOHcOOHTvw6aef5puMDhgwAPfv38e3335rMC49PR2pqamFLqdevXq6WwZfffUVNBqNwYnf1O2hUCggk8n0rrbFxMQYfCn16tULcrkcc+bMMbiqr903Xbt2hYODA8LDww3auWmnadmyJdzd3bFq1Sq92+979uzBtWvX9HolMEalUiE7O9ukLsBMYer6P3z4EAMGDEDbtm3zbTOsPYnlrqsnTpzAsWPHTI4lODgY27dv1/tSvXbtGvbt26c3rbaHj8WLF+sN1165z70dfXx88Oeff+pN98033xhcYc19PAE5dzDq1KlT7G2dnp5eYvtJK/e5TQiBZcuWwdLSUteGUerjW6uwc2ZJHwfG6p5KpcKKFSuMzm9paYkWLVqgc+fO6Ny5c4FNfQpTlLoI5BxfK1euRFhYWIkkXunp6QBQaF3TnreM3Xnp1KkTlEolli5dqnd+i4iIQGxsrO67qjj7rbA6q6XtycXLywsLFizA+vXr9boMLM26nZup6+jm5oZ27drhhx9+MPgRkPf7euPGjbCyskLbtm3zXW5wcDAcHR3xySef6DWn0sqbR+QVERGBwMBAvPHGG+jXr5/en/aK/IYNGwpeeeTUpyFDhuDp06eYPn267lgvSvlRUVFGfxglJCTg2LFjcHZ2LpEr4tqrrDt27MD58+eLPH+pXGHt2bMn5syZg+HDhyMgIACXLl1CRESEQduYt99+Gz/++CMmTpyIkydPIjAwEKmpqTh48CDGjRuH119/vVjLd3FxQdu2bTF8+HDExsZi8eLFqFOnDkaNGgUgp53Od999h+7du8PPzw/Dhw9H9erVcf/+ffz+++9wdHTEzp07kZqaiuXLl2Pp0qWoV6+eXv9r2kT34sWLOHbsGF555RX4+Phg3rx5mDp1KmJiYtCrVy84ODjg9u3b2LZtG0aPHo3Jkyfj4MGDmDFjBi5evFjo2x+CgoIwZswYhIeH4/z58+jatSssLS0RFRWFzZs3Y8mSJejXr1+xttP+/fvRpUuXAn8dDhkyBJs2bcLYsWPx+++/o02bNlCr1bh+/To2bdqEffv2FXrlObdq1aph4cKFGDlyJN566y306NGjSNsjJCQEX375Jbp164Y333wTjx8/xvLly1GnTh1cvHhRN12dOnUwffp0zJ07F4GBgejTpw+USiVOnToFLy8vhIeHw9HREYsWLcLIkSPRqlUrvPnmm3B2dsaFCxeQlpaGtWvXwtLSEgsWLMDw4cMRFBSEQYMG6bpMqVWrFkJDQ/XiS01N1bsVum7dOmRkZKB3794mb6OSWP/3338fT548wZQpU/TazwFAkyZN0KRJE/Ts2RNbt25F7969ERISgtu3b2PVqlVo2LBhvm0E85o9ezb27t2LwMBAjBs3DtnZ2fjqq6/g5+enF0/Tpk0xdOhQfPPNN7rbwSdPnsTatWvRq1cvdOjQQTftyJEjMXbsWPTt2xddunTBhQsXsG/fPr27MwDQsGFDtG/fHv7+/nBxccHp06exZcsWvYdGCrJ9+3a4urrqmgQcOXIEEyZMMGleU1hbW2Pv3r0YOnQoXnrpJezZswe7d+/GtGnTdCd/qY9vrcLOmSV9HAQEBMDZ2RlDhw7F+++/D5lMhnXr1j3XhQpTFaUuAsAff/yBBg0aYPjw4cVa3q1bt3Tb4v79+1i2bBkcHR0NEsAbN25g7969ujtDCxcuRKtWrYy+xcrFxQX/+c9/MGPGDAQHB+P111/HrVu3sGzZMjRt2lR3h6Go+82UOmvM6NGj8dNPP2Hs2LG6N16WZt3OrSjruHTpUrRt2xYtWrTA6NGj4e3tjZiYGOzevVv3MPasWbOwYcMGfPzxxwW2Q3V0dMTKlSsxZMgQtGjRAgMHDoSbmxvu3LmD3bt3o02bNkYvxgE5FwZu3ryZ77mqevXqaNGiBSIiIvDRRx/pht+/f19Xl1JSUnD16lVs3rwZjx49wqRJkzBmzJhilX/hwgW8+eab6N69OwIDA+Hi4oL79+9j7dq1ePDgARYvXmxSkzVTaNuyXrhwoeivEC5KlwL5vekqr4yMDDFp0iTh6ekpbGxsRJs2bcSxY8eMdgOTlpYmpk+fLry9vYWlpaWoVq2a6Nevn4iOjhZCFK9bqw0bNoipU6cKd3d3YWNjI0JCQox2z3Du3DnRp08fUbVqVaFUKkXNmjXFgAEDxG+//aa37ML+8nZb8ssvv4i2bdsKOzs7YWdnJ+rXry/effddcePGDSGEEO+9955o166d2Lt3r0FM+b0h6JtvvhH+/v7CxsZGODg4iMaNG4spU6aIBw8e6KYparc3MpnM4O0TxvaRSqUSCxYsEH5+fkKpVApnZ2fh7+8vZs+eLRITEw2WV1h5QgjRsWNH8eKLL4rk5OQib4/vv/9e1K1bVyiVSlG/fn2xevXqfLfbDz/8IJo3b66LOygoSBw4cEBvmv/+978iICBA2NjYCEdHR9G6dWuxYcMGvWl+/vlnXTkuLi5i8ODBum7ctLTdwmj/7O3tRYsWLcS6desK3EbaeY118VHc9dd2UWLsT9vdkUajEZ988omoWbOmUCqVonnz5mLXrl0G3RIV1u3OH3/8Ifz9/YWVlZWoXbu2WLVqldG4s7KyxOzZs3XHeo0aNcTUqVP1ujASQgi1Wi0++ugj4erqKmxtbUVwcLC4efOmQRdB8+bNE61btxZOTk7CxsZG1K9fX8yfP1+oVKoCt7X2PKb9s7KyEnXq1BEzZ840iKUghXVrZWdnJ6Kjo0XXrl2Fra2t8PDwELNmzTLoZk0I6Y7vop4zS/I4OHr0qHj55ZeFjY2N8PLyElOmTBH79u3T6zooP8/TrZUQptfFmjVrCgBi27ZtButoardWubeFq6ur6Nq1qzh27JhumrzfM3K5XLzwwgti6NChum2b3/lt+fLlon79+sLS0lJ4eHiIMWPGiPj4eIPpTN1vptTZ3N1a5Xbjxg1hbW0tQkND9YabUreNMbVbq6KsoxBCXL58WfTu3Vs4OTkJa2tr4evrK2bMmCGEEGLDhg2iUaNGYsmSJQZdXeXt1ir38ODgYFGlShVhbW0tfHx8xLBhw8Tp06fzXbf33ntPANDlOcaEhYUJAOLChQtCCP26JJPJhKOjo/Dz8xOjRo0y6FKsqOXHxsaKTz/9VAQFBQlPT09hYWEhnJ2dRceOHcWWLVvyLSMoKEj4+fkZHZe7W6u8tPW5qN1ayYQog5+0ZeTw4cPo0KEDNm/eXCK/3GJiYuDt7Y3bt2/n2wFwWFgYYmJi9N76QUSV27Bhw7BlyxaTr1RLpaTPmVR+lZc6S5VXqbRhJSIiIiIqKaXShrWisLe3x+DBgwt8CKhJkya6V80SERERUcljwloAV1dXg85y8+rTp08ZRUNERERUOVWoNqxEREREVPGwDSsRERERmTUmrERERERk1piwEhEREZFZY8JKRERERGaNCSsRERERmTUmrERERERk1piwEhEREZFZY8JKRERERGaNCSsRERERmTUmrERERERk1piwEhEREZFZY8JKRERERGaNCSsRERERmTUmrERERERk1piwEhEREZFZY8JKRERERGaNCSsRERERmTUmrERERERk1iykDoCIqLx5lqpCbHIGHidlIjYpA4+TM5GQpkKWWiBLrcF4hz/gmXkbkFsAljaAnTvg4AHYVwMcqgH2HoDSXurVICIqN5iwEhHlQ5WtwfVHSbh4LxGX7iXi4v1ERD9JgSpbU+B879c+BDz4reDCbVwAzyaAZzPAs2nOn0ttQCYruRUgIqogmLASEf2PRiNw7u4z7L8ai79uxuPGo2So1AUnp8WW/hS4dTjnT0tZBagZANTrCtTrBjh6lc6yiYjKGZkQQkgdBBGRVDKy1Dh6Mw77r8Tit+uPEZeS+dxlnqj9PTwKu8JqimpNchJX3+5A9RbPXx4RUTnFhJWIKqXzdxMQcfwf7L70EGkqdYmWXWIJa27uDQH/4UDTNwDrKiVbNhGRmWPCSkSVhipbgx3n72PNXzG48iCp1JZTKgmrlqUt0KgP0HIEUN2/dJZBRGRm2IaViCq8NFU2Vh+NwZq/YvAk+flv+UsqKw04tz7n78UAoNOMnHavREQVGBNWIqqw1BqBn0/dxeKDf+NxeU9UjbnzF7C6O+DTKSdx9WoudURERKWCCSsRVUgHr8Ziwd7riHqcInUopS/6t5y/Bq8CHWcCbvWkjoiIqEQxYSWiCuXm42RM33YZJ24/lTqUsndtJ/D3PiBwMhA4EVBYSh0REVGJ4KtZiahCEELguyO3ELI0snImq1pqFXD4E+Cb9sD9s1JHQ0RUIpiwElG5d/dpGgZ+cxzzdl9DZiFvoao0Yi8D33UG9s8AstKljoaI6LkwYSWicu3nU3fQfcmRyn1VNT9CDfy1FPi2E/D0ltTREBEVGxNWIiqXVNkaTNp0AR/9cgkpmdlSh2PeHl8BvukARB2UOhIiomJhwkpE5c6zVBXe+u4Efjl7T+pQyo+MBOCn/sCfn0sdCRFRkTFhJaJy5ebjFPRacRQnY9gEoMiEBjg0F/j5LUCVJnU0REQmY8JKROXGkagn6LPiKP6JZ7L1XK7tBNb1AtITpI6EiMgkTFiJqFzYd+URRqw5haQMtlctEXdPAGt6AilPpI6EiKhQTFiJyOztu/II4386iyy1kDqUiiX2ErD2VSatRGT2mLASkVn7/fpjJqul6ck1Jq1EZPaYsBKR2TpxKx7vRJxhslranlwDNrzBFwwQkdliwkpEZunv2GSMXHsaGVl8c1WZuH8G2DYWEPxxQETmhwkrEZmdpIwsjP7xNJL5QoCydXV7TrdXRERmhgkrEZkVIQQmbDyPGHZdJY0jXwDnf5I6CiIiPUxYicisLD4YhUPXH0sdRuW28wPg3mmpoyAi0mHCSkRm4+DVWCw9FCV1GKRWAVtHAapUqSMhIgLAhJWIzERsUgYmbjrPZ37MxdNbwL5pUkdBRASACSsRmYkZ2y/zLVbm5swa4O99UkdBRMSElYikt+fSQ+y/Git1GGTMjvFAarzUURBRJceElYgklZiehVn/vSJ1GJSf1MfAnilSR0FElRwTViKSVPiv1/A4OVPqMKggl7cAd09JHQURVWJMWIlIMmf+eYafT9+VOgwyBR/AIiIJMWElIsl8sf8GewUoL+6dBC5vlToKIqqkmLASkSSO34rHX9F8mKdcORgGZLP5BhGVPSasRCSJLw/8LXUIVFQJ/wCnvpc6CiKqhJiwElGZO3ozDidvP5U6DCqO4ysBjVrqKIiokmHCSkRlbhGvrpZfiXeAqzukjoKIKhkmrERUps7deYbT/zyTOgx6HsdXSB0BEVUyTFiJqExFnLgjdQj0vO6dYr+sRFSmmLASUZlJTM/CrosPpA6DSsLx5VJHQESVCBNWIiozOy88QEaWRuowqCRc/xXISJI6CiKqJJiwElGZ2Xr2ntQhUElRZwI39kgdBRFVEkxYiahMxMSl4uydBKnDoJJ0dbvUERBRJcGElYjKxKHrj6UOgUpa9CEgM1nqKIioEmDCSkRl4s+oJ1KHQCUtOwO4sVfqKIioEmDCSkSlLjNbjRO3+GarCun6TqkjIKJKgAkrEZW60zHPkJ7F13lWSHeOSx0BEVUCTFiJqNSxOUAFlhILPL0tdRREVMExYSWiUnf0ZpzUIVBpuntC6giIqIJjwkpEpSpbrcHfj1KkDoNKExNWIiplTFiJqFTdjkuFSs23W1Vod5iwElHpYsJKRKXqRiz76azwnlwDslVSR0FEFRgTViIqVX/HsjlAhSc0QOJdqaMgogqMCSsRlaq/H/EKa6XwLKZUil2zZg2cnJxKpWwiKj+YsBJRqYp6zIS1Ukj4p8DRw4YNg0wmM/i7efNmGQVIROUZE1YiKlVPkjOlDqHc+zQyE7LZSZiwN0M3LPqpBr1/ToPbwmQ4hidhwOY0xKYU/nDb8pMq1FqcDOt5SXjpuxScvK//QoeJ+zLgsiAJNRYlI+Jilt64zVey8OqGNOMFPys4YQWAbt264eHDh3p/3t7ehc5HRMSElYhKjUYjkJyZLXUY5dqp+2p8fUaFJh7/nq5TVQJd16dCBuDQ27Y4OsIOKjXw6oY0aITIt6yfL2dh4v4MzApS4uwYOzT1UCB4fSoep+YkujtvZOGnS1nYP8QOn3W2xsid6YhLyxmXmCEw/VAmlvewNl64CU0ClEolqlWrpve3ZMkSNG7cGHZ2dqhRowbGjRuHlJT82z1fuHABHTp0gIODAxwdHeHv74/Tp0/rxkdGRiIwMBA2NjaoUaMG3n//faSmphYaGxGZNyasRFRqkjKyUED+RIVIUQkM3pqOb1+1gbO1TDf86F01YhIE1vSyQWMPBRp7KLC2lw1OP9Dg0O38X4H75fFMjGphieHNrdDQTYFVPa1haynDD+dyrqRei9OgfS0FWnopMKixJRyVMtx+lrMDpxzIwDstLfFilXy+NlIeF2sd5XI5li5diitXrmDt2rU4dOgQpkyZku/0gwcPxgsvvIBTp07hzJkz+Pjjj2FpaQkAiI6ORrdu3dC3b19cvHgRP//8MyIjIzF+/PhixUZE5sNC6gCIqOJKSNO/pZwQGYHEoxv0hlm4vIDqo1YBAJLP70Xq1cNQxUZDqNJR44ONkFvbF7qc5LO7kHhiK9Spz2Dl7g2XzmOg9PLVjX/627dIvfwbZJbWcAoaCnu/DrpxqdcjkXr5N7j3m/U8q1oq3v01AyF1LdC5tgXm/flv04rMbAEZAKXi32mtLQC5DIi8k43OtQ1P7Sq1wJkHGkxtq9QNk8tk6FzbAsfu5SS5TT0U+OaMCs/SBW490yA9S6COixyRd7Jx9pEaK0LyuboKAKrCe4PYtWsX7O3/3Z/du3fH5s2bdZ9r1aqFefPmYezYsVixYoXRMu7cuYMPP/wQ9evXBwDUrVtXNy48PByDBw/GhAkTdOOWLl2KoKAgrFy5EtbWBcRPRGaNCStRBSOTyQocP2vWLISFhZVJLAnpWQbDLF1fhMcb8/8dIP/3ip3IyoRNbX/Y1PZHwh9rTVpG6rU/8fTQd6ja9V1Yefki+fQOPN40E16jvobCzglpN08g9dofcB8wF9nPHiB+zxLYeLeAwrYKNJmpSPjzR3gMnPfc61rSNl7OwtmHapwaZWcw7uUXFLCzAj46mIlPOikhBPDxwQyoBfAw2fgl7bg0AbUAPOz064eHnQzX43IS1uA6FniriSVafZsCG0sZ1vaygZ0V8M7uDKx53QYrT2fhq5MquNrK8E1Pa/i558qYVYXfdu/QoQNWrlyp+2xnZ4eDBw8iPDwc169fR1JSErKzs5GRkYG0tDTY2toalDFx4kSMHDkS69atQ+fOndG/f3/4+PgAyGkucPHiRUREROimF0JAo9Hg9u3baNCgQaExEpF5YpMAogom9wMtixcvhqOjo96wyZMn66YVQiA7u/TamCYaSVghV0Bh7/zvn20V3SjHVq+jysv99a6OFibp1HY4NA2GfZMusHJ9ES7B70JmqUTKpQMAgKz4u7Cu0RhKz7qwaxgEmZUtshNjAQDPfl8Nh+Y9YOHo/nwrWsLuJmrwwd4MRPSxgbWF4Q8QNzs5Nve3xc6/s2D/STKqfJqMhEyghacc8oJ/rxQqrL01br7vgEvv2KN3A0uEH1Ghs7cFLBXAvD8zETncFiObW+Lt7en6M2ZnGC8wFzs7O9SpU0f3l5mZiZ49e6JJkyb45ZdfcObMGSxfvhwAoFIZfxFBWFgYrly5gpCQEBw6dAgNGzbEtm3bAAApKSkYM2YMzp8/r/u7cOECoqKidEktEZVPTFiJKpjcD7RUqVIFMplM9/n69etwcHDAnj174O/vD6VSicjISAwbNgy9evXSK2fChAlo37697rNGo0F4eDi8vb1hY2ODpk2bYsuWLQXGotYYPrWe/ewB7i1/G/dX/R+e7FyI7KTitX0EAKHOgurRTVjXbKYbJpPJYV2rGTLvXwcAWLl5Q/XoJtQZKch8dBMiOxMWzl7IuHcFqthoOPi/Wuzll5YzD9V4nCrQ4utUWMxJgsWcJPzxjxpLT6hgMScJao1AVx8LRL/vgMcf2iNuigPW9bbB/SSB2s7GT+uutjIoZEBsqv4V2NhUgWr2xue5HqfG+ktZmNtRicMx2WhXUwE3OzkG+Fni7EMNkjNzlaUp+g+fM2fOQKPR4IsvvsDLL7+MevXq4cGDB4XOV69ePYSGhmL//v3o06cPVq9eDQBo0aIFrl69qpcUa/+srKyKHB8RmQ82CSCqhD7++GN8/vnnqF27NpydnU2aJzw8HOvXr8eqVatQt25d/Pnnn3jrrbfg5uaGoKAgo/Mo5PqJkNLTF1V7hMLSpTrUKU+ReHQDHkV8BK8RyyFXGt7+LYw6LQkQGijsnPSXa+uErPh7AACb2v6w82uPR2tDIbOwgmtIKOSWSjzdtwJVQ0KRfO5XJJ/dBYWNI1yCx8PKrWaR48grW/Z8yVEnbwtceke/KcDwHemo76rAR22soMh1GdXVNmcbH7qdjcepAq/5Gj+tWylk8PeS47db2ehVP+chJY0Q+O1WNsa3NoxXCIExuzLwZVcl7K1kUGuArP/9/tD+q86d+2ryf9grP3Xq1EFWVha++uorvPrqqzh69ChWrVqV7/Tp6en48MMP0a9fP3h7e+PevXs4deoU+vbtCwD46KOP8PLLL2P8+PEYOXIk7OzscPXqVRw4cADLli0rcnxEZD6YsBJVQnPmzEGXLl1Mnj4zMxOffPIJDh48iFdeeQUAULt2bURGRuLrr7/ON2G1yHN/2san5b8f3L2h9PLFvZUjkHo9Eg5NuxZ9RUzk1HYwnNoO1n1OiPwJ1rWaQSZXIPHYz/AasRzpN08ifveX8By25LmXlyY3bHdaFA5KGRrlbh8KwM5Shqo2/w5ffU6FBm5yuNnKcexeNj7Ym4nQl63g6/rvfJ1+TEXv+pa6hHTiy0oM3Z6Oll4KtK6uwOLjKqRmCQxvZmkQw3dns+BmK8Orvjnj2rxogbA/MnH8Xjb2RGWjoZscTrl6LoDCsIzCNG3aFF9++SUWLFiAqVOnol27dggPD8fbb79tdHqFQoH4+Hi8/fbbiI2NhaurK/r06YPZs2cDAJo0aYI//vgD06dPR2BgIIQQ8PHxwRtvvFHk2IjIvDBhJaqEWrZsWfhEudy8eRNpaWkGSa5KpULz5s3znU9pUXCrI7m1PSxdqiM7ofDbwMYobB0BmRzq1AS94eq0BCjsjF85zoq/i9Srv8Nz2FKkXDwA6xcaQWFbBbb1AxG/Zwk0mWnFutqbWwqeL2E1xY14Dab+lomn6QK1nOSYHmiF0Jf1r5RGP9Xo+lEFgDcaWeJJmsDMw5l4lCLQrJocewfbwiNPk4DYFA3mH8nEX//373q0rq7ApFeUCPkpHe52OQ9k6bF2KjDeNWvWGB0eGhqK0NBQvWFDhgzR/X/YsGEYNmwYAMDKygobNuj3MpFXq1atsH///gKnIaLyhwkrUSVkZ6efUMnlcog8HaZmZf37wJS2I/fdu3ejevXqetMplUrkx9aq4FOMRpWO7ISHUNh1KHC6/MgUlrCqVgcZ/1yAbb2cK79CaJARcwEO/j0NphdCIH7fcjh3HAm5lQ0gNBDatpfaf0Xhb4sqTBKeL+E15vAw/X32aWdrfNq54G6aYiY4GAwb39rKaBOA3Dzs5UbnnRmkxMygfPa3jVOBZRIRPQ8mrEQENzc3XL58WW/Y+fPndR2yN2zYEEqlEnfu3Mn39r8xdkr929rPDn0PmzqtYVHFHdnJT5EYGQHI5LBrmFOmOuUZ1KnPkPXsIQBA9SQGcitbKBzdoLDJSaBiN06DTd1X4Pi/h6UcW/VC3O5FsKpWF0rPekg6vQMiKwP2jTsbxJNyYR8UNo6wrfMSAEBZvQESIn9C5v3rSL91BpZVXzSp39fCJGhKPmE1e4VcYSUieh5MWIkIHTt2xMKFC/Hjjz/ilVdewfr163H58mXd7X4HBwdMnjwZoaGh0Gg0aNu2LRITE3H06FE4Ojpi6NChRst1c9C/GpedHIe4nQuhTk+CwqYKlC80RLUhX+i6tko+/6veiwVif/oYAFC1xwRdApr17BGU6Um6aewatIM6LREJkev/9+KA2nAfMMegSYA69RkSj21CtbcW6oYpvXzh2Lo3Hm+ZDbltFbiG6N+aLq5nlTJhrVL4NERExcSElYgQHByMGTNmYMqUKcjIyMCIESPw9ttv49KlS7pp5s6dCzc3N4SHh+PWrVtwcnJCixYtMG3atHzLtbWyQFU7K8Sn5vSp6fb6RwXGkffhKGNeeOcHg2GO/q/qrrjmR2HnbHRepzaD4NRmUIHzFlV8diV8oxKbBBBRKZKJvA3XiIhKUK/lR3H+boLUYZSpgZ4P8emzSVKHUba6zAXavC91FERUQfHFAURUql50qXy3x2Mz838QrcJyqy91BERUgTFhJaJSVRkT1oeqStgkwM301+kSERUVE1YiKlWVMWF9kFHJXgNqaQc4vSh1FERUgTFhJaJS5VvNsD/Pii4p2wJCUYmaBbjWBWSywqcjIiomJqxEVKr8vBxhY6kofMIKRigrUaLO9qtEVMqYsBJRqbJQyNGshpPUYZS5bCtHqUMoOzVaSx0BEVVwTFiJqNS1quVc+EQVTJZFJbrCWru91BEQUQXHhJWISl3LWi5Sh1DmMitLwlrlRaCqj9RREFEFx4SViEpdi5rOUMgr10M56Qp7qUMoG7XbSR0BEVUCTFiJqNTZKy3gX7NyNQtIk1eShNW7vdQREFElwISViMrEq008pQ6hTKXATuoQSp9MzvarRFQmmLASUZno0dizUjULSEIleGFC7faAvZvUURBRJcCElYjKRFV7JQJ8qkodRplJ0FSChLXpm1JHQESVBBNWIiozrzbxkjqEMvOsoiesVg5Ag55SR0FElQQTViIqM8GNqsHKonKcduKzraUOoXT5vQ5Y2kgdBRFVEpXjm4OIzEIVG0uENK4cD189qegJa9NBUkdARJUIE1YiKlP/19Zb6hDKRGymUuoQSo97Q6BmG6mjIKJKhAkrEZWpRtWroLV3xX/z1UNVBb7CGjgJkFWeHh+ISHpMWImozL3TvuK/yvNBhpXUIZQOFx/Ar4/UURBRJcOElYjKXAdfdzSq7ih1GKUqKdsCQlEBmwW0DQXk/OogorLFsw4RSeK9jnWlDqHUCaWD1CGUrCo1gKYDpY6CiCohJqxEJIlgv2oV/kUC2VYV7Cpy4CRAYSl1FERUCTFhJSLJzHrVDxYV+HWtWRYV6AqrVwugxVCpoyCiSooJKxFJxreaA956uabUYZSazIqSsMrkQM8v2XaViCTDsw8RSSq0Sz1UtauYT9SnK+ylDqFk+A8HvJpLHQURVWJMWIlIUlVsLDGlm6/UYZSKNHkFSFjt3IBOM6WOgogqOSasRCS5AS1roIOvm9RhlLgU2EkdwvMLDgdsnKSOgogqOSasRCQ5mUyGz/s3hbtDxeq3NAm2UofwfJq9BTTpL3UURERMWInIPFS1V2LxG81QkToNSBTlOGF1qw/0WCh1FEREAJiwEpEZCajjinHt60gdRol5praROoTisbQF+q8FrMpxwk1EFQoTViIyKxM610XLms5Sh1Ei4tXWUodQPD0WAu71pY6CiEiHCSsRmRULhRyrhvijVtXyf3XvSVY5TFj9hwPN35I6CiIiPUxYicjsuNor8eOIl+BqX74fwopVlbOEtV43IOQLqaMgIjLAhJWIzNKLVW2xZngr2FkppA6l2B5llqOEu3pLoN8PgLz8bm8iqriYsBKR2WpUvQpWDfGHpaJ8dh3wILOcvMHL3Q94awtgVQH6jSWiCokJKxGZtcC6blj0RjNYlMP+rhKyLCEUZp60Vq0LDNkG2FSMB92IqGJiwkpEZq9nEy+sfMsfVhbl75QlrBylDiF/1f2BEfsABw+pIyEiKlD5O/sTUaXUpaEH1gxrBXulhdShFEm2lYPUIRhXpzMwdCdgV1XqSIiICsWElYjKjYA6rtg05hV4OJafh5myLM3wCmuTgcCgjWyzSkTlBhNWIipXGno5Ytu4NmjoaYaJoBEqC3upQ9DXZgLQexWgsJQ6EiIikzFhJaJyx8vJBlvHBeCtl1+UOpRCpSvMpEmAtRMw8Cegy2xAVv4eYCOiyo0JKxGVS9aWCszr1RgrBreAg7X5tmtNk5vBbfcXWgNjI4H6IVJHQkRULExYiahc69HYE7++H4imNZykDsWoFEiZsMqANh8Aw/cATjUkjIOI6PkwYSWicq+Giy22jH0FoZ3rwdrSvE5rSVIlrK6+wND/Al3mAArzvQJNRGQK8zqzExEVk6VCjg8618WB0CB0aWg+/YomCJuyXaClHdB5NvDOUcC7Xdkum4iolDBhJaIKpYaLLb59uyVWD2+FWlVtpQ4Hz9RlGEPD14Hxp4C2E9gLABFVKLxPREQVUgdfdwSEVsXav2Lw7ZHbeJKcKUkc8Wrr0l+Idzug3RTAO7D0l0VEJAGZEEJIHQQRUWnKyFJjy5l7+PbILfwTn1amyx7k+QDhzyaXTuH1ugGBk4EarUqnfCIiM8GElYgqDbVGYPelh1h1OBpXHyaVyTI7Vn2KH1LHl1yBckugwatA4ESgWuOSK5eIyIwxYSWiSunMP0+x5cx97Lr4AMkZ2aW2nIb2qfg1e9TzF+TVAmg6CGjcD7B1ef7yiIjKESasRFSpZWSpcfjGE/x66SF+uxaLVJW6RMt3sszCecXQ4s3s7A349c5JVN3qlWhcRETlCRNWIqL/ychS49ydBJy4HY+Tt5/i3J0EpGc9fwJ7224YZGpV4RPauQO1gwDvoJx/ncz/1bNERGWBCSsRUT6y1BpcvJeIUzFP8fejZMTEp+LO0zTEpZiQfOZyy/l9yNPj/h0gk+cko271Add6gJsvUN0fcG9QwmtARFQxMGElIiqilMxsxMTlJK9PU1XIyFIjXaVGRrYa6SqN7qqsrZUCdlYKjHX8C7bWSsC2KuDoBVStC1iWQXdXREQVBBNWIiIiIjJrfNMVEREREZk1JqxEREREZNaYsBIRERGRWWPCSkRERERmjQkrEREREZk1JqxEREREZNaYsBIRERGRWWPCSkRERERmjQkrEREREZk1JqxEREREZNaYsBIRERGRWWPCSkRERERmjQkrEREREZk1JqxEREREZNaYsBIRERGRWWPCSkRERERmjQkrEREREZk1JqxEREREZNaYsBIRERGRWWPCSkRERERmjQkrEREREZk1JqxEREREZNaYsBIRERGRWWPCSkRERERm7f8B+ZPIX4PmbqIAAAAASUVORK5CYII=",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"from imblearn.over_sampling import ADASYN\n",
|
||
"\n",
|
||
"# Создание экземпляра ADASYN\n",
|
||
"ada = ADASYN()\n",
|
||
"\n",
|
||
"# Применение ADASYN\n",
|
||
"X_resampled, y_resampled = ada.fit_resample(df_train.drop(columns=['hazardous']), df_train['hazardous'])\n",
|
||
"\n",
|
||
"# Создание нового DataFrame\n",
|
||
"df_train_adasyn = pd.DataFrame(X_resampled)\n",
|
||
"df_train_adasyn['hazardous'] = y_resampled # Добавление целевой переменной\n",
|
||
"\n",
|
||
"# Вывод информации о новой выборке\n",
|
||
"print(\"Обучающая выборка после oversampling: \", df_train_adasyn.shape)\n",
|
||
"print(df_train_adasyn['hazardous'].value_counts())\n",
|
||
"hazardous_counts = df_train_adasyn['hazardous'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))\n",
|
||
"plt.pie(hazardous_counts, labels=hazardous_counts.index, autopct='%1.1f%%', startangle=90)\n",
|
||
"plt.title('Распределение классов hazardous в тренировачной выборке после ADASYN')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"P.S. можно было использовать ещё SMOTE, SVM-SMOTE, K-means SMOTE, SMOTE-N, SMOTE-NC, RandomOverSampler."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"проведём также балансировку данных методом андерсемплинга. Этот метод помогает сбалансировать выборку, уменьшая количество экземпляров класса большинства, чтобы привести его в соответствие с классом меньшинства."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обучающая выборка после undersampling: (10608, 6)\n",
|
||
"hazardous\n",
|
||
"False 5304\n",
|
||
"True 5304\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"from imblearn.under_sampling import RandomUnderSampler\n",
|
||
"\n",
|
||
"rus = RandomUnderSampler()# Создание экземпляра RandomUnderSampler\n",
|
||
"\n",
|
||
"# Применение RandomUnderSampler\n",
|
||
"X_resampled, y_resampled = rus.fit_resample(df_train.drop(columns=['hazardous']), df_train['hazardous'])\n",
|
||
"\n",
|
||
"# Создание нового DataFrame\n",
|
||
"df_train_undersampled = pd.DataFrame(X_resampled)\n",
|
||
"df_train_undersampled['hazardous'] = y_resampled # Добавление целевой переменной\n",
|
||
"\n",
|
||
"# Вывод информации о новой выборке\n",
|
||
"print(\"Обучающая выборка после undersampling: \", df_train_undersampled.shape)\n",
|
||
"print(df_train_undersampled['hazardous'].value_counts())\n",
|
||
"\n",
|
||
"# Визуализация распределения классов\n",
|
||
"hazardous_counts = df_train_undersampled['hazardous'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))\n",
|
||
"plt.pie(hazardous_counts, labels=hazardous_counts.index, autopct='%1.1f%%', startangle=90)\n",
|
||
"plt.title('Распределение классов hazardous в тренировочной выборке после Undersampling')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"# 2 Датасет: Pima Indians Diabetes Database\n",
|
||
"#### https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database\n",
|
||
"\n",
|
||
"This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.\n",
|
||
"\n",
|
||
"Этот набор данных изначально был получен из Национального института диабета, заболеваний пищеварительной системы и почек. Целью набора данных является диагностическое прогнозирование наличия или отсутствия у пациента диабета на основе определенных диагностических измерений, включенных в набор данных. На выбор этих случаев из более крупной базы данных налагалось несколько ограничений. В частности, все пациенты здесь — женщины в возрасте не менее 21 года индейского происхождения пима.\n",
|
||
"\n",
|
||
"- объект иследования - женьщины индейци пима\n",
|
||
"- очевидно цель датасета это предсказание диабета.\n",
|
||
"- атрибуты: Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age, Outcome"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"количество колонок: 9\n",
|
||
"колонки: Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age, Outcome\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"df = pd.read_csv(\"..//static//csv//diabetes.csv\", sep=\",\")\n",
|
||
"print('количество колонок: ' + str(df.columns.size)) \n",
|
||
"print('колонки: ' + ', '.join(df.columns))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Получение сведений о пропущенных данных\n",
|
||
"\n",
|
||
"Типы пропущенных данных:\n",
|
||
"- None - представление пустых данных в Python\n",
|
||
"- NaN - представление пустых данных в Pandas\n",
|
||
"- '' - пустая строка"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"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",
|
||
"\n",
|
||
"Pregnancies False\n",
|
||
"Glucose False\n",
|
||
"BloodPressure False\n",
|
||
"SkinThickness False\n",
|
||
"Insulin False\n",
|
||
"BMI False\n",
|
||
"DiabetesPedigreeFunction False\n",
|
||
"Age False\n",
|
||
"Outcome False\n",
|
||
"dtype: bool\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Количество пустых значений признаков\n",
|
||
"print(df.isnull().sum())\n",
|
||
"\n",
|
||
"print()\n",
|
||
"\n",
|
||
"# Есть ли пустые значения признаков\n",
|
||
"print(df.isnull().any())\n",
|
||
"\n",
|
||
"print()\n",
|
||
"\n",
|
||
"# Процент пустых значений признаков\n",
|
||
"for i in df.columns:\n",
|
||
" null_rate = df[i].isnull().sum() / len(df) * 100\n",
|
||
" if null_rate > 0:\n",
|
||
" print(f\"{i} процент пустых значений: %{null_rate:.2f}\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Итог: пропущеных значений нет"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"посмотрим выбросы и усредним их:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Колонка Pregnancies:\n",
|
||
" Есть выбросы: Да\n",
|
||
" Количество выбросов: 4\n",
|
||
" Минимальное значение: 0.0\n",
|
||
" Максимальное значение: 13.5\n",
|
||
" 1-й квартиль (Q1): 1.0\n",
|
||
" 3-й квартиль (Q3): 6.0\n",
|
||
"\n",
|
||
"Колонка Glucose:\n",
|
||
" Есть выбросы: Да\n",
|
||
" Количество выбросов: 5\n",
|
||
" Минимальное значение: 37.125\n",
|
||
" Максимальное значение: 199.0\n",
|
||
" 1-й квартиль (Q1): 99.0\n",
|
||
" 3-й квартиль (Q3): 140.25\n",
|
||
"\n",
|
||
"Колонка BloodPressure:\n",
|
||
" Есть выбросы: Да\n",
|
||
" Количество выбросов: 45\n",
|
||
" Минимальное значение: 35.0\n",
|
||
" Максимальное значение: 107.0\n",
|
||
" 1-й квартиль (Q1): 62.0\n",
|
||
" 3-й квартиль (Q3): 80.0\n",
|
||
"\n",
|
||
"Колонка SkinThickness:\n",
|
||
" Есть выбросы: Да\n",
|
||
" Количество выбросов: 1\n",
|
||
" Минимальное значение: 0.0\n",
|
||
" Максимальное значение: 80.0\n",
|
||
" 1-й квартиль (Q1): 0.0\n",
|
||
" 3-й квартиль (Q3): 32.0\n",
|
||
"\n",
|
||
"Колонка Insulin:\n",
|
||
" Есть выбросы: Да\n",
|
||
" Количество выбросов: 34\n",
|
||
" Минимальное значение: 0.0\n",
|
||
" Максимальное значение: 318.125\n",
|
||
" 1-й квартиль (Q1): 0.0\n",
|
||
" 3-й квартиль (Q3): 127.25\n",
|
||
"\n",
|
||
"Колонка BMI:\n",
|
||
" Есть выбросы: Да\n",
|
||
" Количество выбросов: 19\n",
|
||
" Минимальное значение: 13.35\n",
|
||
" Максимальное значение: 50.550000000000004\n",
|
||
" 1-й квартиль (Q1): 27.3\n",
|
||
" 3-й квартиль (Q3): 36.6\n",
|
||
"\n",
|
||
"Колонка DiabetesPedigreeFunction:\n",
|
||
" Есть выбросы: Да\n",
|
||
" Количество выбросов: 29\n",
|
||
" Минимальное значение: 0.078\n",
|
||
" Максимальное значение: 1.2\n",
|
||
" 1-й квартиль (Q1): 0.24375\n",
|
||
" 3-й квартиль (Q3): 0.62625\n",
|
||
"\n",
|
||
"Колонка Age:\n",
|
||
" Есть выбросы: Да\n",
|
||
" Количество выбросов: 9\n",
|
||
" Минимальное значение: 21.0\n",
|
||
" Максимальное значение: 66.5\n",
|
||
" 1-й квартиль (Q1): 24.0\n",
|
||
" 3-й квартиль (Q3): 41.0\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"numeric_columns = ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age']\n",
|
||
"for column in numeric_columns:\n",
|
||
" if pd.api.types.is_numeric_dtype(df[column]): # Проверяем, является ли колонка числовой\n",
|
||
" q1 = df[column].quantile(0.25) # Находим 1-й квартиль (Q1)\n",
|
||
" q3 = df[column].quantile(0.75) # Находим 3-й квартиль (Q3)\n",
|
||
" iqr = q3 - q1 # Вычисляем межквартильный размах (IQR)\n",
|
||
"\n",
|
||
" # Определяем границы для выбросов\n",
|
||
" lower_bound = q1 - 1.5 * iqr # Нижняя граница\n",
|
||
" upper_bound = q3 + 1.5 * iqr # Верхняя граница\n",
|
||
"\n",
|
||
" # Подсчитываем количество выбросов\n",
|
||
" outliers = df[(df[column] < lower_bound) | (df[column] > upper_bound)]\n",
|
||
" outlier_count = outliers.shape[0]\n",
|
||
"\n",
|
||
" # Устраняем выбросы: заменяем значения ниже нижней границы на саму нижнюю границу, а выше верхней — на верхнюю\n",
|
||
" df[column] = df[column].apply(lambda x: lower_bound if x < lower_bound else upper_bound if x > upper_bound else x)\n",
|
||
"\n",
|
||
" print(f\"Колонка {column}:\")\n",
|
||
" print(f\" Есть выбросы: {'Да' if outlier_count > 0 else 'Нет'}\")\n",
|
||
" print(f\" Количество выбросов: {outlier_count}\")\n",
|
||
" print(f\" Минимальное значение: {df[column].min()}\")\n",
|
||
" print(f\" Максимальное значение: {df[column].max()}\")\n",
|
||
" print(f\" 1-й квартиль (Q1): {q1}\")\n",
|
||
" print(f\" 3-й квартиль (Q3): {q3}\\n\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"построим графики в надежде найти какие то зависимости опасности от других колонок"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 400x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Создание диаграмм зависимости\n",
|
||
"for column in numeric_columns:\n",
|
||
" plt.figure(figsize=(4, 8)) # Установка размера графика\n",
|
||
" plt.scatter(df['Outcome'], df[column], alpha=0.5) # Создаем диаграмму рассеяния\n",
|
||
" plt.title(f'Зависимость {column} от Outcome(диабет)')\n",
|
||
" plt.xlabel('Outcome (0 = нет, 1 = да)')\n",
|
||
" plt.ylabel(column)\n",
|
||
" plt.xticks([0, 1]) # Установка меток по оси X\n",
|
||
" plt.grid() # Добавление сетки для удобства восприятия\n",
|
||
" plt.show() # Отображение графика"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Создадим выборки данных. разбивать будем относительно параметра Outcome, ведь это тот самый параметр по которому наша выборка разбивается на классы. И собственно его нам и надо будет предсказывать"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Outcome\n",
|
||
"0 500\n",
|
||
"1 268\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Обучающая выборка: (460, 9)\n",
|
||
"Outcome\n",
|
||
"0 299\n",
|
||
"1 161\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Контрольная выборка: (154, 9)\n",
|
||
"Outcome\n",
|
||
"0 101\n",
|
||
"1 53\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Тестовая выборка: (154, 9)\n",
|
||
"Outcome\n",
|
||
"0 100\n",
|
||
"1 54\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Вывод распределения количества наблюдений по меткам (классам)\n",
|
||
"print(df.Outcome.value_counts())\n",
|
||
"print()\n",
|
||
"\n",
|
||
"data = df.copy()\n",
|
||
"\n",
|
||
"df_train, df_val, df_test = split_stratified_into_train_val_test(\n",
|
||
" data, stratify_colname=\"Outcome\", frac_train=0.60, frac_val=0.20, frac_test=0.20\n",
|
||
")\n",
|
||
"\n",
|
||
"print(\"Обучающая выборка: \", df_train.shape)\n",
|
||
"print(df_train.Outcome.value_counts())\n",
|
||
"counts = df_train['Outcome'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))# Установка размера графика\n",
|
||
"plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)# Построение круговой диаграммы\n",
|
||
"plt.title('Распределение классов Outcome в обучающей выборке')# Добавление заголовка\n",
|
||
"plt.show()# Отображение графика\n",
|
||
"\n",
|
||
"print(\"Контрольная выборка: \", df_val.shape)\n",
|
||
"print(df_val.Outcome.value_counts())\n",
|
||
"counts = df_val['Outcome'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))\n",
|
||
"plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)\n",
|
||
"plt.title('Распределение классов Outcome в контрольной выборке')\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"print(\"Тестовая выборка: \", df_test.shape)\n",
|
||
"print(df_test.Outcome.value_counts())\n",
|
||
"counts = df_test['Outcome'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))\n",
|
||
"plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)\n",
|
||
"plt.title('Распределение классов Outcome в тестовой выборке')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"распределение неплохое но могло бы быть лучше. Поэтому применим балансировку "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"аугментация данных оверсемплингом(Этот метод увеличивает количество примеров меньшинства)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обучающая выборка после oversampling: (579, 9)\n",
|
||
"Outcome\n",
|
||
"0 299\n",
|
||
"1 280\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Применение ADASYN\n",
|
||
"X_resampled, y_resampled = ada.fit_resample(df_train.drop(columns=['Outcome']), df_train['Outcome'])\n",
|
||
"\n",
|
||
"# Создание нового DataFrame\n",
|
||
"df_train_adasyn = pd.DataFrame(X_resampled)\n",
|
||
"df_train_adasyn['Outcome'] = y_resampled # Добавление целевой переменной\n",
|
||
"\n",
|
||
"# Вывод информации о новой выборке\n",
|
||
"print(\"Обучающая выборка после oversampling: \", df_train_adasyn.shape)\n",
|
||
"print(df_train_adasyn['Outcome'].value_counts())\n",
|
||
"counts = df_train_adasyn['Outcome'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))\n",
|
||
"plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)\n",
|
||
"plt.title('Распределение классов Outcome в тренировачной выборке после ADASYN')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"проведём также балансировку данных методом андерсемплинга. Этот метод помогает сбалансировать выборку, уменьшая количество экземпляров класса большинства, чтобы привести его в соответствие с классом меньшинства."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обучающая выборка после undersampling: (322, 9)\n",
|
||
"Outcome\n",
|
||
"0 161\n",
|
||
"1 161\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Применение RandomUnderSampler\n",
|
||
"X_resampled, y_resampled = rus.fit_resample(df_train.drop(columns=['Outcome']), df_train['Outcome'])\n",
|
||
"\n",
|
||
"# Создание нового DataFrame\n",
|
||
"df_train_undersampled = pd.DataFrame(X_resampled)\n",
|
||
"df_train_undersampled['Outcome'] = y_resampled # Добавление целевой переменной\n",
|
||
"\n",
|
||
"# Вывод информации о новой выборке\n",
|
||
"print(\"Обучающая выборка после undersampling: \", df_train_undersampled.shape)\n",
|
||
"print(df_train_undersampled['Outcome'].value_counts())\n",
|
||
"\n",
|
||
"# Визуализация распределения классов\n",
|
||
"counts = df_train_undersampled['Outcome'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))\n",
|
||
"plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)\n",
|
||
"plt.title('Распределение классов Outcome в тренировочной выборке после Undersampling')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"# 3 Датасет: Stroke Prediction Dataset\n",
|
||
"#### https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset\n",
|
||
"\n",
|
||
"According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths.\n",
|
||
"This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relavant information about the patient.\n",
|
||
"\n",
|
||
"- Из этого описания очевидно что объектами иследования являются реальные пациенты.\n",
|
||
"- Атрибуты объектов: id, gender, age, hypertension, heart_disease, ever_married, work_type, Residence_type, avg_glucose_level, bmi, smoking_status, stroke\n",
|
||
"- Очевидная цель этого датасета - это научиться определять будет у человека сердечный приступ или нет."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"количество колонок: 12\n",
|
||
"колонки: id, gender, age, hypertension, heart_disease, ever_married, work_type, Residence_type, avg_glucose_level, bmi, smoking_status, stroke\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"df = pd.read_csv(\"..//static//csv//healthcare-dataset-stroke-data.csv\", sep=\",\")\n",
|
||
"print('количество колонок: ' + str(df.columns.size)) \n",
|
||
"print('колонки: ' + ', '.join(df.columns))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Получение сведений о пропущенных данных\n",
|
||
"\n",
|
||
"Типы пропущенных данных:\n",
|
||
"- None - представление пустых данных в Python\n",
|
||
"- NaN - представление пустых данных в Pandas\n",
|
||
"- '' - пустая строка"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"id 0\n",
|
||
"gender 0\n",
|
||
"age 0\n",
|
||
"hypertension 0\n",
|
||
"heart_disease 0\n",
|
||
"ever_married 0\n",
|
||
"work_type 0\n",
|
||
"Residence_type 0\n",
|
||
"avg_glucose_level 0\n",
|
||
"bmi 201\n",
|
||
"smoking_status 1544\n",
|
||
"stroke 0\n",
|
||
"dtype: int64\n",
|
||
"\n",
|
||
"id False\n",
|
||
"gender False\n",
|
||
"age False\n",
|
||
"hypertension False\n",
|
||
"heart_disease False\n",
|
||
"ever_married False\n",
|
||
"work_type False\n",
|
||
"Residence_type False\n",
|
||
"avg_glucose_level False\n",
|
||
"bmi True\n",
|
||
"smoking_status True\n",
|
||
"stroke False\n",
|
||
"dtype: bool\n",
|
||
"\n",
|
||
"bmi процент пустых значений: %3.93\n",
|
||
"smoking_status процент пустых значений: %30.22\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import numpy as np\n",
|
||
"# Замена значений 'Unknown' на np.nan\n",
|
||
"df.replace('Unknown', np.nan, inplace=True)\n",
|
||
"\n",
|
||
"# Количество пустых значений признаков\n",
|
||
"print(df.isnull().sum())\n",
|
||
"print()\n",
|
||
"\n",
|
||
"# Есть ли пустые значения признаков\n",
|
||
"print(df.isnull().any())\n",
|
||
"print()\n",
|
||
"\n",
|
||
"# Процент пустых значений признаков\n",
|
||
"for i in df.columns:\n",
|
||
" null_rate = df[i].isnull().sum() / len(df) * 100\n",
|
||
" if null_rate > 0:\n",
|
||
" print(f\"{i} процент пустых значений: %{null_rate:.2f}\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"пропуски есть и их не мало, с нимим можно поступить 2 способами, удалить записи или достроить эти пропуски"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"- Удаление наблюдений с пропусками"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"(3426, 12)\n",
|
||
"id False\n",
|
||
"gender False\n",
|
||
"age False\n",
|
||
"hypertension False\n",
|
||
"heart_disease False\n",
|
||
"ever_married False\n",
|
||
"work_type False\n",
|
||
"Residence_type False\n",
|
||
"avg_glucose_level False\n",
|
||
"bmi False\n",
|
||
"smoking_status False\n",
|
||
"stroke False\n",
|
||
"dtype: bool\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"dropna_df = df.dropna()\n",
|
||
"print(dropna_df.shape)\n",
|
||
"print(dropna_df.isnull().any())"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"срезалось ~2000 записей, что не круто когда записей всего ~5000.\n",
|
||
"- Попробуем дополнить базу данных заполнив пропуски"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"['formerly smoked' 'never smoked' 'smokes' nan]\n",
|
||
"id 0\n",
|
||
"gender 0\n",
|
||
"age 0\n",
|
||
"hypertension 0\n",
|
||
"heart_disease 0\n",
|
||
"ever_married 0\n",
|
||
"work_type 0\n",
|
||
"Residence_type 0\n",
|
||
"avg_glucose_level 0\n",
|
||
"bmi 0\n",
|
||
"smoking_status 0\n",
|
||
"stroke 0\n",
|
||
"dtype: int64\n",
|
||
"\n",
|
||
"id False\n",
|
||
"gender False\n",
|
||
"age False\n",
|
||
"hypertension False\n",
|
||
"heart_disease False\n",
|
||
"ever_married False\n",
|
||
"work_type False\n",
|
||
"Residence_type False\n",
|
||
"avg_glucose_level False\n",
|
||
"bmi False\n",
|
||
"smoking_status False\n",
|
||
"stroke False\n",
|
||
"dtype: bool\n",
|
||
"\n",
|
||
"['formerly smoked' 'never smoked' 'smokes']\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"print(df['smoking_status'].unique())\n",
|
||
"# Замена пустых данных на медиану\n",
|
||
"df[\"bmi\"] = df[\"bmi\"].fillna(df[\"bmi\"].median())\n",
|
||
"\n",
|
||
"# Заполнение с помощью модели машинного обучения\n",
|
||
"from sklearn.compose import ColumnTransformer\n",
|
||
"from sklearn.preprocessing import OneHotEncoder\n",
|
||
"from sklearn.linear_model import LogisticRegression\n",
|
||
"from sklearn.pipeline import Pipeline\n",
|
||
"\n",
|
||
"# Определение категориальных и числовых столбцов\n",
|
||
"categorical_features = ['gender', 'ever_married', 'work_type', 'Residence_type'] \n",
|
||
"numeric_features = ['avg_glucose_level', 'hypertension', 'heart_disease', 'age', 'bmi']\n",
|
||
"\n",
|
||
"from sklearn.preprocessing import StandardScaler\n",
|
||
"\n",
|
||
"# Добавляем StandardScaler для числовых признаков\n",
|
||
"preprocessor = ColumnTransformer(\n",
|
||
" transformers=[\n",
|
||
" ('cat', OneHotEncoder(), categorical_features),\n",
|
||
" ('num', StandardScaler(), numeric_features) # Применение скейлера к числовым признакам\n",
|
||
" ],\n",
|
||
" remainder='passthrough'\n",
|
||
")\n",
|
||
"\n",
|
||
"# Создание пайплайна для обучения модели\n",
|
||
"pipeline = Pipeline(steps=[\n",
|
||
" ('preprocessor', preprocessor),\n",
|
||
" ('classifier', LogisticRegression())\n",
|
||
"])\n",
|
||
"\n",
|
||
"# Разделение данных на обучающую выборку и тестовую, исключая smoking_status = 0 из обучающей выборки\n",
|
||
"known_smoking_status = df.dropna() # только те строки, где smoking_status != 0\n",
|
||
"unknown_smoking_status = df[df['smoking_status'].isnull()] # строки с smoking_status = 0 для предсказания\n",
|
||
"\n",
|
||
"# Определяем признаки для обучения (категориальные и числовые)\n",
|
||
"X_train = known_smoking_status[categorical_features + numeric_features]\n",
|
||
"y_train = known_smoking_status['smoking_status']\n",
|
||
"\n",
|
||
"# Данные для предсказания\n",
|
||
"X_test = unknown_smoking_status[categorical_features + numeric_features]\n",
|
||
"\n",
|
||
"# Обучение модели через пайплайн\n",
|
||
"pipeline.fit(X_train, y_train)\n",
|
||
"\n",
|
||
"# Предсказание пропущенных значений\n",
|
||
"df.loc[df['smoking_status'].isnull(), 'smoking_status'] = pipeline.predict(X_test)\n",
|
||
"\n",
|
||
"# Количество пустых значений признаков\n",
|
||
"print(df.isnull().sum())\n",
|
||
"print()\n",
|
||
"\n",
|
||
"# Есть ли пустые значения признаков\n",
|
||
"print(df.isnull().any())\n",
|
||
"print()\n",
|
||
"print(df['smoking_status'].unique())"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"посмотрим выбросы и усредним их:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Колонка age:\n",
|
||
" Есть выбросы: Нет\n",
|
||
" Количество выбросов: 0\n",
|
||
" Минимальное значение: 0.08\n",
|
||
" Максимальное значение: 82.0\n",
|
||
" 1-й квартиль (Q1): 25.0\n",
|
||
" 3-й квартиль (Q3): 61.0\n",
|
||
"\n",
|
||
"Колонка avg_glucose_level:\n",
|
||
" Есть выбросы: Да\n",
|
||
" Количество выбросов: 627\n",
|
||
" Минимальное значение: 55.12\n",
|
||
" Максимальное значение: 169.35750000000002\n",
|
||
" 1-й квартиль (Q1): 77.245\n",
|
||
" 3-й квартиль (Q3): 114.09\n",
|
||
"\n",
|
||
"Колонка bmi:\n",
|
||
" Есть выбросы: Да\n",
|
||
" Количество выбросов: 126\n",
|
||
" Минимальное значение: 10.300000000000006\n",
|
||
" Максимальное значение: 46.29999999999999\n",
|
||
" 1-й квартиль (Q1): 23.8\n",
|
||
" 3-й квартиль (Q3): 32.8\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"numeric_columns = ['age', 'avg_glucose_level', 'bmi']\n",
|
||
"for column in numeric_columns:\n",
|
||
" if pd.api.types.is_numeric_dtype(df[column]): # Проверяем, является ли колонка числовой\n",
|
||
" q1 = df[column].quantile(0.25) # Находим 1-й квартиль (Q1)\n",
|
||
" q3 = df[column].quantile(0.75) # Находим 3-й квартиль (Q3)\n",
|
||
" iqr = q3 - q1 # Вычисляем межквартильный размах (IQR)\n",
|
||
"\n",
|
||
" # Определяем границы для выбросов\n",
|
||
" lower_bound = q1 - 1.5 * iqr # Нижняя граница\n",
|
||
" upper_bound = q3 + 1.5 * iqr # Верхняя граница\n",
|
||
"\n",
|
||
" # Подсчитываем количество выбросов\n",
|
||
" outliers = df[(df[column] < lower_bound) | (df[column] > upper_bound)]\n",
|
||
" outlier_count = outliers.shape[0]\n",
|
||
" \n",
|
||
" # Устраняем выбросы: заменяем значения ниже нижней границы на саму нижнюю границу, а выше верхней — на верхнюю\n",
|
||
" df[column] = df[column].apply(lambda x: lower_bound if x < lower_bound else upper_bound if x > upper_bound else x)\n",
|
||
"\n",
|
||
" print(f\"Колонка {column}:\")\n",
|
||
" print(f\" Есть выбросы: {'Да' if outlier_count > 0 else 'Нет'}\")\n",
|
||
" print(f\" Количество выбросов: {outlier_count}\")\n",
|
||
" print(f\" Минимальное значение: {df[column].min()}\")\n",
|
||
" print(f\" Максимальное значение: {df[column].max()}\")\n",
|
||
" print(f\" 1-й квартиль (Q1): {q1}\")\n",
|
||
" print(f\" 3-й квартиль (Q3): {q3}\\n\")\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"построим графики в надежде найти какие то зависимости инсульта от других колонок"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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auHChFi5cqOnTp6tz58765ptvbPrebanCO7Ub6bi47W5q1Kihbdu26eOPP9Zzzz2X7v9APuilFMuWLav9+/dr/vz5WrRokX755Rd9+umnGjZsmEaOHHnP1x4+fFj169dXmTJl9OGHHyooKEju7u76448/NHHixHT95+Vuf0W6/a8cqRetrlu3Tr///ruioqL00ksvacKECVq3bp1dAwgwNwIwkAG3/hm9WrVq6t27tz755BN17txZTzzxhKR//yGX/m81glvt37/fuj3Vnj17JP3fSNL9DBkyRI899pjatm171z7Dhw9X9+7dtW/fPus/JJ06dbLpU7JkSSUkJKhBgwb3PF7JkiUVFRWlixcvOmwUuEqVKtarwJs0aaKTJ09q7Nixevvtt+Xr6ytPT0/t378/zev27dsnFxeXNKN1d1KtWjXr/v38/NS5c2e99dZbNu9zaGhomvO/PYDMnj1bdevW1VdffWXTHhcXZ70gKJUj3/dUpUqVStP3bkHyypUrGjlypF555ZU0P2e327p1q2bNmqW5c+faHbq2b9+umzdvqmrVqunqv2fPnnT9fHfs2FExMTEaOXKkvvvuO+XLly/N+3c37u7uatasmZo1a6aUlBS98sor+vzzz/X2229naGT0dkWLFtXSpUt1+fJlm1Hgffv2WbffKjg4WOPGjVOdOnXUuHFjLVu2LM3o8X+pZcWKFbpy5YrNKPChQ4cytL/cuXOrbdu2atu2rW7cuKHWrVvrvffe05AhQ5QzZ867htTff/9d169f12+//WYzsr5ixYo0fe+2j3z58kn69/N068XBt4+op3riiSf0xBNP6L333tPMmTPVsWNHzZo1S926dUvv6cLkmAMMOMB7772nwMBAde/eXUlJSZL+/VOun5+fPvvsM12/ft3ad+HChdq7d68iIiJs9vHjjz8qMDAwXQEhOjpa8+bN05gxY+47/zYwMFB169ZVgwYN1KBBgzR/4n7uuecUHR19x5HCuLg46/m0adNGhmHccTTov4yQ3erq1atKSkpSUlKSXF1d1ahRI82bN89mCaQzZ85o5syZeuqpp+Tl5WXX/lPn9t76/UgvV1fXNOf5888/33VJO0e97xkxefJkJSYmWq+0v5fBgwerRo0aat68ud3H+fnnn+Xq6pqu5cmOHz+uNWvWpPnP4J1s2bJFw4cP15gxY/Tss8/e8f27kwsXLtg8d3FxsY4aZ+R7fidNmzZVcnKyPv74Y5v2iRMnymKxqEmTJmleU6FCBf3xxx/au3evmjVrpqtXrzqklvDwcN28eVPTpk2ztqWkpGTodta3v3fu7u4KCQmRYRjWubap/+G6/U5wqf9xuvXzcenSJU2fPj3NcXLnzn3HO8mVLFlSkmzmvicmJqYZuf/nn3/SfA4fe+wxSY77HsMcGAEGHCBv3ryaMmWKWrdurQkTJmjQoEFyc3PT2LFj9eKLL6p27dpq3769dRm0YsWKWZd12rRpk95++20tWrRIn332WbouKFu8eLEaNmyY7tHDexk4cKB+++03Pf3003rhhRdUpUoVJSYmaufOnZo9e7aOHTumggULqm7dunr++ef10Ucf6eDBg2rcuLFSUlL0559/qm7duurTp4/dx16yZIlOnDhhnQIxY8YMNW/eXO7u7pL+XTN1yZIleuqpp/TKK68oR44c+vzzz3X9+nWNGzfunvseNWqUTp48qfLly8vDw0NbtmzR9OnTVaFChfv+Kf1Onn76aY0aNUovvviinnzySe3cuVMzZsywuUDPHul93zNi8eLFeu+999J1IdnixYu1Zs0au/afmJioTz75RB999JEeffRRmzWDExISJEk7duxQdHS0wsLCNHXqVI0ePVqenp73vcjuypUr6tChg+rUqZNm6bL76datmy5evKh69eqpcOHC+vvvvzVlyhQ99thj6f7Lyv00a9ZMdevW1VtvvaVjx46pYsWKWrx4sebNm6d+/fpZg9ztnnjiCc2bN09NmzbVM888o7lz5/7nu7+1bNlSjz/+uF5//XUdOnRIZcqU0W+//WZd69qei1MbNWqkgIAA1ahRQ/7+/tq7d68+/vhjRUREWEesq1SpIunfKTPt2rWTm5ubmjVrpkaNGllH3nv06KGEhARNmzZNfn5+On36tM1xqlSpoqlTp+rdd99VcHCw/Pz8VK9ePTVq1EhFihRR165dNXDgQLm6uurrr7+Wr6+vYmJirK//5ptv9Omnn6pVq1YqWbKkLl++rGnTpsnLy0tNmzb9T+8nTMZZy08A2VHqkjx3W4KnRYsWhqenp3HkyBFr248//mhUqlTJ8PDwMPLnz2907NjROHHihHX72LFjjWrVqhkzZsy46/FuXwbNYrEYmzdvtul7+3JSd3P7clyGYRiXL182hgwZYgQHBxvu7u5GwYIFjSeffNL44IMPjBs3blj7JSUlGePHjzfKlCljuLu7G76+vkaTJk3S1HK32lOlLteV+siRI4dRtGhRo2/fvsY///xj03fLli1GeHi4kSdPHsPT09OoW7eusXbt2vue5+zZs41q1aoZXl5eRq5cuYzg4GDj9ddfN86dO5emjvQug/b6668bgYGBRq5cuYwaNWoY0dHRmf6+Z2QZtMDAQCMxMdGmr+6yDFqLFi1s+t1pKbXbpdZ0v0fq+T7++OPGs88+a+zbty/Nvm5//7p3724UKFDAOHnypE2/9CyDNnv2bKNRo0aGn5+f4e7ubhQpUsTo0aOHcfr0aWufu32GU9+PW38+DOPfJcly585t03b58mWjf//+RqFChQw3NzejVKlSxvjx49MsfadblkFLNW/ePCNHjhxG27ZtjeTk5Lsug3b7MW+t8Vbnzp0zOnToYOTNm9fw9vY2XnjhBWPNmjWGJGPWrFn3fL9u9fnnnxu1atUyChQoYHh4eBglS5Y0Bg4caFy6dMmm3zvvvGM88sgjhouLi83n+7fffjMqVKhg5MyZ0yhWrJgxduxY4+uvv07zOyA2NtaIiIgw8ubNa0iy+d5v3rzZqF69uvV79+GHH6b5PbJlyxajffv2RpEiRQwPDw/Dz8/PePrpp41Nmzal+1wBwzAMi2E46G+XAABTOHbsmIoXL66jR4+qWLFid+wzYsQIHTt2zO67keG/mzt3rlq1aqW//vor3as4AGbDHGAAALKp2+cTJycna8qUKfLy8kqzigaA/8McYACAXfLkyaOOHTvec8mpChUq2H17aNjv1Vdf1dWrVxUWFqbr169rzpw5Wrt2rd5//33lypVLN27csM4Jvhtvb2+bG1kAZsAUCAAAsqmZM2dqwoQJOnTokK5du6bg4GD16tXLelHqypUrVbdu3XvuY/r06XrhhRceQLVA1kEABgDgIfXPP/9o8+bN9+xTrlw5BQYGPqCKgKyBAAwAAABT4SI4AAAAmAoXwaVDSkqKTp06pbx589q1sDgAAAAeDMMwdPnyZRUqVEguLvce4yUAp8OpU6cUFBTk7DIAAABwH8ePH1fhwoXv2YcAnA6pt4E8fvy4vLy8nFwNAAAAbhcfH6+goCBrbrsXAnA6pE578PLyIgADAABkYemZrurUi+CmTp2qChUqWINlWFiYFi5caN1ep04dWSwWm0fPnj1t9hETE6OIiAh5enrKz89PAwcOVFJSkk2flStXqnLlyvLw8FBwcDC35gQAADAxp44AFy5cWGPGjFGpUqVkGIa++eYbtWjRQlu3blW5cuUkSS+//LJGjRplfY2np6f16+TkZEVERCggIEBr167V6dOn1blzZ7m5uen999+XJB09elQRERHq2bOnZsyYoWXLlqlbt24KDAxUeHj4gz1hAAAAOF2WWwc4f/78Gj9+vLp27ao6deroscce06RJk+7Yd+HChXr66ad16tQp+fv7S5I+++wzDRo0SOfOnZO7u7sGDRqkBQsWaNeuXdbXtWvXTnFxcVq0aFG6aoqPj5e3t7cuXbrEFAgAAIAsyJ68lmXWAU5OTtasWbOUmJiosLAwa/uMGTNUsGBBlS9fXkOGDNGVK1es26KjoxUaGmoNv5IUHh6u+Ph47d6929qnQYMGNscKDw9XdHR0Jp8RAAAAsiKnXwS3c+dOhYWF6dq1a8qTJ49+/fVXhYSESJI6dOigokWLqlChQtqxY4cGDRqk/fv3a86cOZKk2NhYm/Aryfo8Njb2nn3i4+N19epV5cqVK01N169f1/Xr163P4+PjHXfCAAAAcCqnB+DSpUtr27ZtunTpkmbPnq0uXbpo1apVCgkJUffu3a39QkNDFRgYqPr16+vw4cMqWbJkptU0evRojRw5MtP2DwAAAOdx+hQId3d3BQcHq0qVKho9erQqVqyoyZMn37Fv9erVJUmHDh2SJAUEBOjMmTM2fVKfBwQE3LOPl5fXHUd/JWnIkCG6dOmS9XH8+PGMnyAAAACyFKcH4NulpKTYTD+41bZt2yRJgYGBkqSwsDDt3LlTZ8+etfZZsmSJvLy8rNMowsLCtGzZMpv9LFmyxGae8e08PDysS7Ox9i8AAMDDxalTIIYMGaImTZqoSJEiunz5smbOnKmVK1cqKipKhw8f1syZM9W0aVMVKFBAO3bsUP/+/VWrVi1VqFBBktSoUSOFhITo+eef17hx4xQbG6uhQ4eqd+/e8vDwkCT17NlTH3/8sd5880299NJLWr58uX766SctWLDAmacOAAAAJ3FqAD579qw6d+6s06dPy9vbWxUqVFBUVJQaNmyo48ePa+nSpZo0aZISExMVFBSkNm3aaOjQodbXu7q6av78+erVq5fCwsKUO3dudenSxWbd4OLFi2vBggXq37+/Jk+erMKFC+vLL79kDWAAAACTynLrAGdFrAMMAACQtWXLdYABAACAB4EADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFafeCQ7OU2wwt4LOqo6NiXB2CQAAPNQYAQYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpODUAT506VRUqVJCXl5e8vLwUFhamhQsXWrdfu3ZNvXv3VoECBZQnTx61adNGZ86csdlHTEyMIiIi5OnpKT8/Pw0cOFBJSUk2fVauXKnKlSvLw8NDwcHBioyMfBCnBwAAgCzIqQG4cOHCGjNmjDZv3qxNmzapXr16atGihXbv3i1J6t+/v37//Xf9/PPPWrVqlU6dOqXWrVtbX5+cnKyIiAjduHFDa9eu1TfffKPIyEgNGzbM2ufo0aOKiIhQ3bp1tW3bNvXr10/dunVTVFTUAz9fAAAAOJ/FMAzD2UXcKn/+/Bo/fryeeeYZ+fr6aubMmXrmmWckSfv27VPZsmUVHR2tJ554QgsXLtTTTz+tU6dOyd/fX5L02WefadCgQTp37pzc3d01aNAgLViwQLt27bIeo127doqLi9OiRYvSVVN8fLy8vb116dIleXl5Of6knaDY4AXOLgF3cWxMhLNLAAAg27Enr2WZOcDJycmaNWuWEhMTFRYWps2bN+vmzZtq0KCBtU+ZMmVUpEgRRUdHS5Kio6MVGhpqDb+SFB4ervj4eOsocnR0tM0+Uvuk7uNOrl+/rvj4eJsHAAAAHg5OD8A7d+5Unjx55OHhoZ49e+rXX39VSEiIYmNj5e7uLh8fH5v+/v7+io2NlSTFxsbahN/U7anb7tUnPj5eV69evWNNo0ePlre3t/URFBTkiFMFAABAFuD0AFy6dGlt27ZN69evV69evdSlSxft2bPHqTUNGTJEly5dsj6OHz/u1HoAAADgODmcXYC7u7uCg4MlSVWqVNHGjRs1efJktW3bVjdu3FBcXJzNKPCZM2cUEBAgSQoICNCGDRts9pe6SsStfW5fOeLMmTPy8vJSrly57liTh4eHPDw8HHJ+AAAAyFqcPgJ8u5SUFF2/fl1VqlSRm5ubli1bZt22f/9+xcTEKCwsTJIUFhamnTt36uzZs9Y+S5YskZeXl0JCQqx9bt1Hap/UfQAAAMBcnDoCPGTIEDVp0kRFihTR5cuXNXPmTK1cuVJRUVHy9vZW165dNWDAAOXPn19eXl569dVXFRYWpieeeEKS1KhRI4WEhOj555/XuHHjFBsbq6FDh6p3797WEdyePXvq448/1ptvvqmXXnpJy5cv108//aQFC1gFAQAAwIycGoDPnj2rzp076/Tp0/L29laFChUUFRWlhg0bSpImTpwoFxcXtWnTRtevX1d4eLg+/fRT6+tdXV01f/589erVS2FhYcqdO7e6dOmiUaNGWfsUL15cCxYsUP/+/TV58mQVLlxYX375pcLDwx/4+QIAAMD5stw6wFkR6wDjQWIdYAAA7Jct1wEGAAAAHgQCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEzFqQF49OjRqlatmvLmzSs/Pz+1bNlS+/fvt+lTp04dWSwWm0fPnj1t+sTExCgiIkKenp7y8/PTwIEDlZSUZNNn5cqVqly5sjw8PBQcHKzIyMjMPj0AAABkQU4NwKtWrVLv3r21bt06LVmyRDdv3lSjRo2UmJho0+/ll1/W6dOnrY9x48ZZtyUnJysiIkI3btzQ2rVr9c033ygyMlLDhg2z9jl69KgiIiJUt25dbdu2Tf369VO3bt0UFRX1wM4VAAAAWUMOZx580aJFNs8jIyPl5+enzZs3q1atWtZ2T09PBQQE3HEfixcv1p49e7R06VL5+/vrscce0zvvvKNBgwZpxIgRcnd312effabixYtrwoQJkqSyZcvqr7/+0sSJExUeHp55JwgAAIAsJ0vNAb506ZIkKX/+/DbtM2bMUMGCBVW+fHkNGTJEV65csW6Ljo5WaGio/P39rW3h4eGKj4/X7t27rX0aNGhgs8/w8HBFR0ffsY7r168rPj7e5gEAAICHg1NHgG+VkpKifv36qUaNGipfvry1vUOHDipatKgKFSqkHTt2aNCgQdq/f7/mzJkjSYqNjbUJv5Ksz2NjY+/ZJz4+XlevXlWuXLlsto0ePVojR450+DkCAADA+bJMAO7du7d27dqlv/76y6a9e/fu1q9DQ0MVGBio+vXr6/DhwypZsmSm1DJkyBANGDDA+jw+Pl5BQUGZciwAAAA8WFliCkSfPn00f/58rVixQoULF75n3+rVq0uSDh06JEkKCAjQmTNnbPqkPk+dN3y3Pl5eXmlGfyXJw8NDXl5eNg8AAAA8HJwagA3DUJ8+ffTrr79q+fLlKl68+H1fs23bNklSYGCgJCksLEw7d+7U2bNnrX2WLFkiLy8vhYSEWPssW7bMZj9LlixRWFiYg84EAAAA2YVTA3Dv3r31/fffa+bMmcqbN69iY2MVGxurq1evSpIOHz6sd955R5s3b9axY8f022+/qXPnzqpVq5YqVKggSWrUqJFCQkL0/PPPa/v27YqKitLQoUPVu3dveXh4SJJ69uypI0eO6M0339S+ffv06aef6qefflL//v2ddu4AAABwDqcG4KlTp+rSpUuqU6eOAgMDrY8ff/xRkuTu7q6lS5eqUaNGKlOmjF5//XW1adNGv//+u3Ufrq6umj9/vlxdXRUWFqZOnTqpc+fOGjVqlLVP8eLFtWDBAi1ZskQVK1bUhAkT9OWXX7IEGgAAgAlZDMMwnF1EVhcfHy9vb29dunTpoZkPXGzwAmeXgLs4NibC2SUAAJDt2JPXssRFcAAAAMCDYvcyaB999NE9t/ft2zfDxQAAAACZLV0BeM+ePdYVFfr16ydPT0/5+fnp9tkTFouFAAwAAIAsLV1TIHr27KlnnnlGkvTWW2/JxcVFDRo00Lp163T06FHr48iRI5laLAAAAPBfpSsAL168WL/99pvOnz+vd955R3v37tWNGzdUunRpvffee7p+/Xpm1wkAAAA4RLoC8MmTJ+Xq6qo8efJIkh555BFFRkZq+fLlWrZsmYKDg/Xtt99maqEAAACAI6RrDnDnzp01ffp05cyZUzt27Pi/F+fIoUmTJmnevHnq06ePJk+erM2bN2dasQAAAMB/la4AvGbNGuvXjz32mCwWi/UCuFu/Tr1NMQAAAJBV2b0M2tGjRzOjDgAAAOCBsDsAFy1aNDPqAAAAAB4IuwPwb7/9ds/tzZs3z3AxAAAAQGazOwC3bNlSFotFku54I4zk5GTHVAYAAABkgnQtg3arjh07Km/evHrnnXd09epVpaSkWB+EXwAAAGR1dgfg7777TsuWLdPixYv16KOPasaMGZlRFwAAAJAp7A7AklSlShWtXLlSkydP1qhRo1S1alWtXr3a0bUBAAAADmd3AI6Pj7c+6tWrpzVr1qhFixZ6+umn1bJly0woEQAAAHAcuy+C8/HxsV4EdyvDMPT77787pCgAAAAgs9gdgFesWJEZdQAAAAAPhN0BuHbt2plRBwAAAPBA2B2Ad+zYcc/tFSpUyHAxAAAAQGazOwA/9thjslgsMgwjzQ0xuBEGAAAAsjq7A/DRo0cl/Rt6y5cvrz/++ENFixZ1eGEAAABAZrA7AN8adi0WiwoXLkwABgAAQLaRoRthAAAAANnVfwrAFovljmsCAwAAAFmV3VMg8uXLZw29CQkJqlSpklxc/i9HX7x40XHVAQAAAA5mdwCeNGlSJpQBAAAAPBh2B+AuXbpkRh0AAADAA5GhOcCHDx/W0KFD1b59e509e1aStHDhQu3evduhxQEAAACOZncAXrVqlUJDQ7V+/XrNmTNHCQkJkqTt27dr+PDhDi8QAAAAcCS7A/DgwYP17rvvasmSJXJ3d7e216tXT+vWrXNocQAAAICj2R2Ad+7cqVatWqVp9/Pz0/nz5x1SFAAAAJBZ7A7APj4+On36dJr2rVu36pFHHnFIUQAAAEBmsTsAt2vXToMGDVJsbKwsFotSUlK0Zs0avfHGG+rcuXNm1AgAAAA4jN0B+P3331eZMmUUFBSkhIQEhYSEqFatWnryySc1dOjQzKgRAAAAcBi71wF2d3fXtGnT9Pbbb2vXrl3Wu8GVKlUqM+oDAAAAHMruAJyqSJEiCgoKkiTrrZEBAACArC5DN8L46quvVL58eeXMmVM5c+ZU+fLl9eWXXzq6NgAAAMDh7B4BHjZsmD788EO9+uqrCgsLkyRFR0erf//+iomJ0ahRoxxeJAAAAOAodgfgqVOnatq0aWrfvr21rXnz5qpQoYJeffVVAjAAAACyNLunQNy8eVNVq1ZN016lShUlJSU5pCgAAAAgs9gdgJ9//nlNnTo1TfsXX3yhjh07OqQoAAAAILNkaBWIr776SosXL9YTTzwhSVq/fr1iYmLUuXNnDRgwwNrvww8/dEyVAAAAgIPYHYB37dqlypUrS5IOHz4sSSpYsKAKFiyoXbt2WfuxNBoAAACyIrsD8IoVKzKjDgAAAOCByNA6wKlOnDihEydOOKoWAAAAINPZHYBTUlI0atQoeXt7q2jRoipatKh8fHz0zjvvKCUlJTNqBAAAABzG7ikQb731lr766iuNGTNGNWrUkCT99ddfGjFihK5du6b33nvP4UUCAAAAjmJ3AP7mm2/05Zdfqnnz5ta2ChUq6JFHHtErr7xCAAYAAECWZvcUiIsXL6pMmTJp2suUKaOLFy86pCgAAAAgs9gdgCtWrKiPP/44TfvHH3+sihUrOqQoAAAAILPYPQVi3LhxioiI0NKlSxUWFiZJio6O1vHjx/XHH384vEAAAADAkeweAa5du7YOHDigVq1aKS4uTnFxcWrdurX279+vmjVrZkaNAAAAgMPYPQIcExOjoKAgLnYDAABAtmT3CHDx4sV17tw5hxx89OjRqlatmvLmzSs/Pz+1bNlS+/fvt+lz7do19e7dWwUKFFCePHnUpk0bnTlzxqZPTEyMIiIi5OnpKT8/Pw0cOFBJSUk2fVauXKnKlSvLw8NDwcHBioyMdMg5AAAAIHuxOwAbhuGwg69atUq9e/fWunXrtGTJEt28eVONGjVSYmKitU///v31+++/6+eff9aqVat06tQptW7d2ro9OTlZERERunHjhtauXatvvvlGkZGRGjZsmLXP0aNHFRERobp162rbtm3q16+funXrpqioKIedCwAAALIHi2FnonVxcdGmTZtUsGDBO24vUqRIhos5d+6c/Pz8tGrVKtWqVUuXLl2Sr6+vZs6cqWeeeUaStG/fPpUtW1bR0dF64okntHDhQj399NM6deqU/P39JUmfffaZBg0apHPnzsnd3V2DBg3SggULtGvXLuux2rVrp7i4OC1atOi+dcXHx8vb21uXLl2Sl5dXhs8vKyk2eIGzS8BdHBsT4ewSAADIduzJa3aPAEtStWrVVLx4cZtHsWLFVLx48QwVnOrSpUuSpPz580uSNm/erJs3b6pBgwbWPmXKlFGRIkUUHR0t6d8VKEJDQ63hV5LCw8MVHx+v3bt3W/vcuo/UPqn7uN3169cVHx9v8wAAAMDDwe6L4CRp/fr18vX1dWghKSkp6tevn2rUqKHy5ctLkmJjY+Xu7i4fHx+bvv7+/oqNjbX2uTX8pm5P3XavPvHx8bp69apy5cpls2306NEaOXKkw84NAAAAWYfdAdhisahIkSLy8/NzaCG9e/fWrl279Ndffzl0vxkxZMgQDRgwwPo8Pj5eQUFBTqwIAAAAjmJ3AHbkRXCp+vTpo/nz52v16tUqXLiwtT0gIEA3btxQXFyczSjwmTNnFBAQYO2zYcMGm/2lrhJxa5/bV444c+aMvLy80oz+SpKHh4c8PDwccm4AAADIWuyeA3z06FGHTX8wDEN9+vTRr7/+quXLl6eZQ1ylShW5ublp2bJl1rb9+/crJibGehe6sLAw7dy5U2fPnrX2WbJkiby8vBQSEmLtc+s+Uvuk7gMAAADmYXcALlq0qBYvXqx169ZJkn799Vd17txZo0eP1s2bN+3aV+/evfX9999r5syZyps3r2JjYxUbG6urV69Kkry9vdW1a1cNGDBAK1as0ObNm/Xiiy8qLCxMTzzxhCSpUaNGCgkJ0fPPP6/t27crKipKQ4cOVe/eva2juD179tSRI0f05ptvat++ffr000/1008/qX///vaePgAAALI5uwPw4MGD1aRJE9WsWVNDhw5Vt27ddPXqVU2cONFm3mx6TJ06VZcuXVKdOnUUGBhoffz444/WPhMnTtTTTz+tNm3aqFatWgoICNCcOXOs211dXTV//ny5uroqLCxMnTp1UufOnTVq1Chrn+LFi2vBggVasmSJKlasqAkTJujLL79UeHi4vacPAACAbM7udYAfeeQRTZo0SUWLFtWTTz6pOXPmqHnz5lqxYoU6deqkkydPZlatTsM6wHiQWAcYAAD72ZPX7L4I7syZM3rqqacUGBgod3d3lStXTpJUtmzZNBeaAQAAAFlNhm6FnCPHv7k5R44ccnH5dxcWiyVTVogAAAAAHClDy6A9+uijslgsSkhIUKVKleTi4kL4BQAAQLZgdwCePn16ZtQBAAAAPBB2B+AuXbpkRh0AAADAA2F3AJak5ORkzZ07V3v37pUklStXTs2bN5erq6tDiwMAAAAcze4AfOjQITVt2lQnT55U6dKlJUmjR49WUFCQFixYoJIlSzq8SAAAAMBR7F4Fom/fvipZsqSOHz+uLVu2aMuWLYqJiVHx4sXVt2/fzKgRAAAAcBi7R4BXrVqldevWKX/+/Na2AgUKaMyYMapRo4ZDiwMAAAAcze4RYA8PD12+fDlNe0JCgtzd3R1SFAAAAJBZ7A7ATz/9tLp3767169fLMAwZhqF169apZ8+eat68eWbUCAAAADiM3QH4o48+UsmSJRUWFqacOXMqZ86cqlGjhoKDgzV58uTMqBEAAABwGLvnAPv4+GjevHk6ePCg9u3bJ0kqW7asgoODHV4cAAAA4GgZWgdYkkqVKqVSpUo5shYAAAAg09kdgAcMGHDP7R9++GGGiwEAAAAym90BeNKkSQoLC7vjig8Wi8UhRQEAAACZJUNTIH799Vf5+fk5uhYAAAAg09m9CgQAAACQnRGAAQAAYCoZmgIRFRUlb2/vO27jZhgAAADIyjIUgLt06XLHdovFouTk5P9UEAAAAJCZ7A7AKSkpmVEHAAAA8EAwBxgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmkqFl0JKTkzV37lzt3btXklSuXDk1b95crq6uDi0OAAAAcDS7A/ChQ4cUERGhEydOqHTp0pKk0aNHKygoSAsWLFDJkiUdXiQAAADgKHZPgejbt69KlCih48ePa8uWLdqyZYtiYmJUvHhx9e3bNzNqBAAAABzG7hHgVatWad26dcqfP7+1rUCBAhozZoxq1Kjh0OIAAAAAR7N7BNjDw0OXL19O056QkCB3d3eHFAUAAABkFrsD8NNPP63u3btr/fr1MgxDhmFo3bp16tmzp5o3b54ZNQIAAAAOY3cA/uijj1SyZEmFhYUpZ86cypkzp2rUqKHg4GBNnjw5M2oEAAAAHMbuOcA+Pj6aN2+eDh48qH379kmSypYtq+DgYIcXBwAAADhahtYBlqRSpUqpVKlSkv5dFxgAAADIDuyeAnH06FG1b99evXr10j///KPmzZvLw8NDpUuX1o4dOzKjRgAAAMBh7A7APXr00N69e7Vr1y7Vq1dPN27c0Lx58xQSEqJ+/fplQokAAACA49g9BWL9+vX6888/VbRoUeXPn18bN25U5cqVFRwcrOrVq2dGjQAAAIDD2D0CfPnyZQUGBsrb21uenp7y8fGR9O/FcXdaHxgAAADISjJ0EdyiRYvk7e2tlJQULVu2TLt27VJcXJyDSwMAAAAcL0MBuEuXLtave/ToYf3aYrH894oAAACATGR3AE5JScmMOgAAAIAHwu45wN9++62uX7+eGbUAAAAAmc7uAPziiy/q0qVLmVELAAAAkOnsDsCGYWRGHQAAAMADkaGL4H766Sd5eXndcVvnzp3/U0EAAABAZspQAB43bpxcXV3TtFssFgIwAAAAsrQMBeBNmzbJz8/P0bUAAAAAmc7uOcAAAABAdmZ3AC5atOgdpz8AAAAA2YHdUyCOHj2aGXUAAAAAD4TdI8B9+/bVRx99lKb9448/Vr9+/RxREwAAAJBp7A7Av/zyi2rUqJGm/cknn9Ts2bMdUhQAAACQWewOwBcuXJC3t3eadi8vL50/f96ufa1evVrNmjVToUKFZLFYNHfuXJvtL7zwgiwWi82jcePGNn0uXryojh07ysvLSz4+PuratasSEhJs+uzYsUM1a9ZUzpw5FRQUpHHjxtlVJwAAAB4edgfg4OBgLVq0KE37woULVaJECbv2lZiYqIoVK+qTTz65a5/GjRvr9OnT1scPP/xgs71jx47avXu3lixZovnz52v16tXq3r27dXt8fLwaNWqkokWLavPmzRo/frxGjBihL774wq5aAQAA8HCw+yK4AQMGqE+fPjp37pzq1asnSVq2bJkmTJigSZMm2bWvJk2aqEmTJvfs4+HhoYCAgDtu27t3rxYtWqSNGzeqatWqkqQpU6aoadOm+uCDD1SoUCHNmDFDN27c0Ndffy13d3eVK1dO27Zt04cffmgTlAEAAGAOdo8Av/TSS5owYYK++uor1a1bV3Xr1tX333+vqVOn6uWXX3Z4gStXrpSfn59Kly6tXr166cKFC9Zt0dHR8vHxsYZfSWrQoIFcXFy0fv16a59atWrJ3d3d2ic8PFz79+/XP//8c8djXr9+XfHx8TYPAAAAPBwydCOMXr166cSJEzpz5ozi4+N15MiRTLkFcuPGjfXtt99q2bJlGjt2rFatWqUmTZooOTlZkhQbG5vmjnQ5cuRQ/vz5FRsba+3j7+9v0yf1eWqf240ePVre3t7WR1BQkKNPDQAAAE6SoVshJyUlaeXKlTp8+LA6dOggSTp16pS8vLyUJ08ehxXXrl0769ehoaGqUKGCSpYsqZUrV6p+/foOO87thgwZogEDBlifx8fHE4IBAAAeEnYH4L///luNGzdWTEyMrl+/roYNGypv3rwaO3asrl+/rs8++ywz6pQklShRQgULFtShQ4dUv359BQQE6OzZszZ9kpKSdPHiReu84YCAAJ05c8amT+rzu80t9vDwkIeHRyacAQAAAJzN7ikQr732mqpWrap//vlHuXLlsra3atVKy5Ytc2hxtztx4oQuXLigwMBASVJYWJji4uK0efNma5/ly5crJSVF1atXt/ZZvXq1bt68ae2zZMkSlS5dWvny5cvUegEAAJD12B2A//zzTw0dOtTmojJJKlasmE6ePGnXvhISErRt2zZt27ZN0r+3Wd62bZtiYmKUkJCggQMHat26dTp27JiWLVumFi1aKDg4WOHh4ZKksmXLqnHjxnr55Ze1YcMGrVmzRn369FG7du1UqFAhSVKHDh3k7u6url27avfu3frxxx81efJkmykOAAAAMA+7A3BKSor1IrRbnThxQnnz5rVrX5s2bVKlSpVUqVIlSf8usVapUiUNGzZMrq6u2rFjh5o3b65HH31UXbt2VZUqVfTnn3/aTE+YMWOGypQpo/r166tp06Z66qmnbNb49fb21uLFi3X06FFVqVJFr7/+uoYNG8YSaAAAACZlMQzDsOcFbdu2lbe3t7744gvlzZtXO3bskK+vr1q0aKEiRYpo+vTpmVWr08THx8vb21uXLl2Sl5eXs8txiGKDFzi7BNzFsTERzi4BAIBsx568ZvdFcBMmTFB4eLhCQkJ07do1dejQQQcPHlTBggXT3KUNAAAAyGrsDsCFCxfW9u3bNWvWLO3YsUMJCQnq2rWrOnbsaHNRHAAAAJAVZWgd4Bw5cqhTp06OrgUAAADIdHYH4N9+++2e25s3b57hYgAAAIDMZncAbtmypc1zi8Wi1OvoLBbLHVeIAAAAALKKDC2DduvD09NThw4duuvyaAAAAEBWYncAvp3FYnFEHQAAAMAD8Z8C8LFjx5SYmGj3DTAAAAAAZ7F7DnDr1q0lSVevXtW6detUv359+fr6OrwwAAAAIDPYHYC9vb0lSQEBAWrWrJleeuklhxcFAAAAZBa7A/DDeKtjAAAAmIfdATg+Pv6e2+9372UAAADAmewOwD4+Pndc+cEwDNYBBgAAQJZndwAuUaKEzp49q8GDB6tGjRqZURMAAACQaewOwHv37tWUKVP03nvvaevWrRo3bpyKFy+eGbUBAAAADmf3OsBubm4aMGCADh48qEceeUQVKlTQ66+/rri4uEwoDwAAAHCsDN8II3/+/Jo0aZK2bt2qY8eOKTg4WJMmTXJgaQAAAIDj2T0FolKlSmkugjMMQ9evX9frr7+ufv36Oao2AAAAwOHsDsAtW7bMhDIAAACAB8PuADx8+PDMqAMAAAB4ILgRBgAAAEyFG2EAAADAVOwOwJI0e/Zs5c+f39G1AAAAAJkuQwG4Ro0a8vPzc3QtAAAAQKbLUADes2ePLly4oNy5cysgIEDu7u6OrgsAAADIFBm6EUb9+vVVrlw5FS9eXLlz51ZoaKgmTpzo6NoAAAAAh7N7BPjo0aMyDEM3b95UfHy8Tp06pQ0bNujtt99WUlKSBg4cmBl1AgAAAA5hdwAuWrSozfMqVaqoWbNmevTRRzVq1CgCMAAAALK0DM0BvpN27dqpXLlyjtodAAAAkCkyHIA3b96svXv3SpJCQkJUuXJlVa5c2WGFAQAAAJnB7gB89uxZtWvXTitXrpSPj48kKS4uTnXr1tWsWbPk6+vr6BoBAAAAh7F7FYhXX31Vly9f1u7du3Xx4kVdvHhRu3btUnx8vPr27ZsZNQIAAAAOY/cI8KJFi7R06VKVLVvW2hYSEqJPPvlEjRo1cmhxAAAAgKPZPQKckpIiNze3NO1ubm5KSUlxSFEAAABAZrE7ANerV0+vvfaaTp06ZW07efKk+vfvr/r16zu0OAAAAMDR7A7AH3/8seLj41WsWDGVLFlSJUuWVPHixRUfH68pU6ZkRo0AAACAw9g9BzgoKEhbtmzR0qVLtW/fPklS2bJl1aBBA4cXBwAAADhaugPw5cuXlTdvXkmSxWJRw4YN1bBhQ5s+GzduVLVq1RxbIQAAAOBA6Z4C0ahRIyUkJNxxW1JSkoYOHaoaNWo4rDAAAAAgM6Q7AF++fFkNGjRQfHy8TfuuXbtUrVo1RUZGau7cuY6uDwAAAHCodAfgFStWKDExUQ0bNlR8fLwMw9DYsWNVtWpVlS1bVjt37lTTpk0zs1YAAADgP0v3HGBfX18tX75cDRo0UL169eTh4aGDBw/q+++/1zPPPJOZNQIAAAAOY9cqEL6+vlq2bJkaNGigXbt2adu2bSpTpkxm1QYAAAA4nN3rABcsWFDLly9XSEiIOnTooH/++Scz6gIAAAAyRbpHgFu3bm3z3MvLS6tXr9bjjz+u0NBQa/ucOXMcVx0AAADgYOkOwN7e3mmeFy9e3OEFAQAAAJkp3QF4+vTpmVkHAAAA8EDYPQcYAAAAyM4IwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMxakBePXq1WrWrJkKFSoki8WiuXPn2mw3DEPDhg1TYGCgcuXKpQYNGujgwYM2fS5evKiOHTvKy8tLPj4+6tq1qxISEmz67NixQzVr1lTOnDkVFBSkcePGZfapAQAAIItyagBOTExUxYoV9cknn9xx+7hx4/TRRx/ps88+0/r165U7d26Fh4fr2rVr1j4dO3bU7t27tWTJEs2fP1+rV69W9+7drdvj4+PVqFEjFS1aVJs3b9b48eM1YsQIffHFF5l+fgAAAMh6LIZhGM4uQpIsFot+/fVXtWzZUtK/o7+FChXS66+/rjfeeEOSdOnSJfn7+ysyMlLt2rXT3r17FRISoo0bN6pq1aqSpEWLFqlp06Y6ceKEChUqpKlTp+qtt95SbGys3N3dJUmDBw/W3LlztW/fvnTVFh8fL29vb126dEleXl6OP3knKDZ4gbNLwF0cGxPh7BIAAMh27MlrWXYO8NGjRxUbG6sGDRpY27y9vVW9enVFR0dLkqKjo+Xj42MNv5LUoEEDubi4aP369dY+tWrVsoZfSQoPD9f+/fv1zz//3PHY169fV3x8vM0DAAAAD4csG4BjY2MlSf7+/jbt/v7+1m2xsbHy8/Oz2Z4jRw7lz5/fps+d9nHrMW43evRoeXt7Wx9BQUH//YQAAACQJWTZAOxMQ4YM0aVLl6yP48ePO7skAAAAOEiWDcABAQGSpDNnzti0nzlzxrotICBAZ8+etdmelJSkixcv2vS50z5uPcbtPDw85OXlZfMAAADAwyHLBuDixYsrICBAy5Yts7bFx8dr/fr1CgsLkySFhYUpLi5OmzdvtvZZvny5UlJSVL16dWuf1atX6+bNm9Y+S5YsUenSpZUvX74HdDYAAADIKpwagBMSErRt2zZt27ZN0r8Xvm3btk0xMTGyWCzq16+f3n33Xf3222/auXOnOnfurEKFCllXiihbtqwaN26sl19+WRs2bNCaNWvUp08ftWvXToUKFZIkdejQQe7u7uratat2796tH3/8UZMnT9aAAQOcdNYAAABwphzOPPimTZtUt25d6/PUUNqlSxdFRkbqzTffVGJiorp37664uDg99dRTWrRokXLmzGl9zYwZM9SnTx/Vr19fLi4uatOmjT766CPrdm9vby1evFi9e/dWlSpVVLBgQQ0bNsxmrWAAAACYR5ZZBzgrYx1gPEisAwwAgP0einWAAQAAgMxAAAYAAICpOHUOMABkN0wfyrqYPgQgvRgBBgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqOZxdAAAAeLgVG7zA2SXgHo6NiXB2CQ8cI8AAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUsnQAHjFihCwWi82jTJky1u3Xrl1T7969VaBAAeXJk0dt2rTRmTNnbPYRExOjiIgIeXp6ys/PTwMHDlRSUtKDPhUAAABkETmcXcD9lCtXTkuXLrU+z5Hj/0ru37+/FixYoJ9//lne3t7q06ePWrdurTVr1kiSkpOTFRERoYCAAK1du1anT59W586d5ebmpvfff/+BnwsAAACcL8sH4Bw5ciggICBN+6VLl/TVV19p5syZqlevniRp+vTpKlu2rNatW6cnnnhCixcv1p49e7R06VL5+/vrscce0zvvvKNBgwZpxIgRcnd3f9CnAwAAACfL0lMgJOngwYMqVKiQSpQooY4dOyomJkaStHnzZt28eVMNGjSw9i1TpoyKFCmi6OhoSVJ0dLRCQ0Pl7+9v7RMeHq74+Hjt3r37rse8fv264uPjbR4AAAB4OGTpAFy9enVFRkZq0aJFmjp1qo4ePaqaNWvq8uXLio2Nlbu7u3x8fGxe4+/vr9jYWElSbGysTfhN3Z667W5Gjx4tb29v6yMoKMixJwYAAACnydJTIJo0aWL9ukKFCqpevbqKFi2qn376Sbly5cq04w4ZMkQDBgywPo+PjycEAwAAPCSy9Ajw7Xx8fPToo4/q0KFDCggI0I0bNxQXF2fT58yZM9Y5wwEBAWlWhUh9fqd5xak8PDzk5eVl8wAAAMDDIVsF4ISEBB0+fFiBgYGqUqWK3NzctGzZMuv2/fv3KyYmRmFhYZKksLAw7dy5U2fPnrX2WbJkiby8vBQSEvLA6wcAAIDzZekpEG+88YaaNWumokWL6tSpUxo+fLhcXV3Vvn17eXt7q2vXrhowYIDy588vLy8vvfrqqwoLC9MTTzwhSWrUqJFCQkL0/PPPa9y4cYqNjdXQoUPVu3dveXh4OPnsAAAA4AxZOgCfOHFC7du314ULF+Tr66unnnpK69atk6+vryRp4sSJcnFxUZs2bXT9+nWFh4fr008/tb7e1dVV8+fPV69evRQWFqbcuXOrS5cuGjVqlLNOCQAAAE6WpQPwrFmz7rk9Z86c+uSTT/TJJ5/ctU/RokX1xx9/OLo0AAAAZFPZag4wAAAA8F8RgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqpgrAn3zyiYoVK6acOXOqevXq2rBhg7NLAgAAwANmmgD8448/asCAARo+fLi2bNmiihUrKjw8XGfPnnV2aQAAAHiATBOAP/zwQ7388st68cUXFRISos8++0yenp76+uuvnV0aAAAAHqAczi7gQbhx44Y2b96sIUOGWNtcXFzUoEEDRUdHp+l//fp1Xb9+3fr80qVLkqT4+PjML/YBSbl+xdkl4C4epp+zhxGfnayLz07Wxecma3tYPjup52EYxn37miIAnz9/XsnJyfL397dp9/f31759+9L0Hz16tEaOHJmmPSgoKNNqBFJ5T3J2BUD2xGcHyJiH7bNz+fJleXt737OPKQKwvYYMGaIBAwZYn6ekpOjixYsqUKCALBaLEyvDncTHxysoKEjHjx+Xl5eXs8sBsgU+N0DG8NnJugzD0OXLl1WoUKH79jVFAC5YsKBcXV115swZm/YzZ84oICAgTX8PDw95eHjYtPn4+GRmiXAALy8vfhkBduJzA2QMn52s6X4jv6lMcRGcu7u7qlSpomXLllnbUlJStGzZMoWFhTmxMgAAADxophgBlqQBAwaoS5cuqlq1qh5//HFNmjRJiYmJevHFF51dGgAAAB4g0wTgtm3b6ty5cxo2bJhiY2P12GOPadGiRWkujEP24+HhoeHDh6eZtgLg7vjcABnDZ+fhYDHSs1YEAAAA8JAwxRxgAAAAIBUBGAAAAKZCAAYAAICpEIABAABgKqZZBQIAzCY+Pj7dfVnQH4CZsAoEsoV8+fKl+zbUFy9ezORqgOzBxcUl3Z+b5OTkTK4GyL62bNkiNzc3hYaGSpLmzZun6dOnKyQkRCNGjJC7u7uTK4S9GAFGtjBp0iTr1xcuXNC7776r8PBw6538oqOjFRUVpbfffttJFQJZz4oVK6xfHzt2TIMHD9YLL7xg87n55ptvNHr0aGeVCGQLPXr00ODBgxUaGqojR46oXbt2atWqlX7++WdduXLF5t8oZA+MACPbadOmjerWras+ffrYtH/88cdaunSp5s6d65zCgCysfv366tatm9q3b2/TPnPmTH3xxRdauXKlcwoDsgFvb29t2bJFJUuW1NixY7V8+XJFRUVpzZo1ateunY4fP+7sEmEnLoJDthMVFaXGjRunaW/cuLGWLl3qhIqArC86OlpVq1ZN0161alVt2LDBCRUB2YdhGEpJSZEkLV26VE2bNpUkBQUF6fz5884sDRlEAEa2U6BAAc2bNy9N+7x581SgQAEnVARkfUFBQZo2bVqa9i+//FJBQUFOqAjIPqpWrap3331X3333nVatWqWIiAhJ0tGjR+Xv7+/k6pARzAFGtjNy5Eh169ZNK1euVPXq1SVJ69ev16JFi+74DzwAaeLEiWrTpo0WLlxo/dxs2LBBBw8e1C+//OLk6oCsbdKkSerYsaPmzp2rt956S8HBwZKk2bNn68knn3RydcgI5gAjW1q/fr0++ugj7d27V5JUtmxZ9e3b1/oPO4C0jh8/rqlTp2rfvn2S/v3c9OzZkxFgIIOuXbsmV1dXubm5ObsU2IkADAAAcB9xcXGaPXu2Dh8+rIEDByp//vzasmWL/P399cgjjzi7PNiJOcDIlg4fPqyhQ4eqQ4cOOnv2rCRp4cKF2r17t5MrA7KuP//8U506ddKTTz6pkydPSpK+++47/fXXX06uDMjaduzYoVKlSmns2LH64IMPFBcXJ0maM2eOhgwZ4tzikCEEYGQ7q1atUmhoqNavX69ffvlFCQkJkqTt27dr+PDhTq4OyJp++eUXhYeHK1euXNqyZYuuX78uSbp06ZLef/99J1cHZG0DBgzQiy++qIMHDypnzpzW9qZNm2r16tVOrAwZRQBGtjN48GC9++67WrJkic3dd+rVq6d169Y5sTIg63r33Xf12Wefadq0aTbzFWvUqKEtW7Y4sTIg69u4caN69OiRpv2RRx5RbGysEyrCf0UARrazc+dOtWrVKk27n58f6zECd7F//37VqlUrTbu3t7f1z7kA7szDw0Px8fFp2g8cOCBfX18nVIT/igCMbMfHx0enT59O075161YuRADuIiAgQIcOHUrT/tdff6lEiRJOqAjIPpo3b65Ro0bp5s2bkiSLxaKYmBgNGjRIbdq0cXJ1yAgCMLKddu3aadCgQYqNjZXFYlFKSorWrFmjN954Q507d3Z2eUCW9PLLL+u1117T+vXrZbFYdOrUKc2YMUNvvPGGevXq5ezygCxtwoQJSkhIkJ+fn65evaratWsrODhYefPm1Xvvvefs8pABLIOGbOfGjRvq3bu3IiMjlZycrBw5cig5OVkdOnRQZGSkXF1dnV0ikOUYhqH3339fo0eP1pUrVyT9+2fdN954Q++8846TqwOyhzVr1mj79u1KSEhQ5cqV1aBBAxmGIYvF4uzSYCcCMLKt48ePa+fOnUpISFClSpVUqlQpXb16Vbly5XJ2aUCWc/PmTbm5uenGjRs6dOiQEhISFBISojx58uj8+fMqWLCgs0sEsqzx48dr4MCBadqTk5PVqVMn/fDDD06oCv8FUyCQ7fTt21eSFBQUpKZNm+q5555TqVKllJiYqKZNmzq5OiBrateunQzDkLu7u0JCQvT4448rT548OnPmjOrUqePs8oAsbfz48frqq69s2pKTk9WuXTtt27bNOUXhPyEAI9tZsGBBmvV+ExMT1bhxYyUlJTmpKiBri4mJUbdu3WzaTp8+rTp16qhMmTJOqgrIHhYsWKA33nhDs2fPliQlJSXp2Wef1e7du7VixQonV4eMIAAj21m8eLGmTZumSZMmSZIuX76shg0bymKxaNGiRc4tDsii/vjjD61du1YDBgyQJJ06dUp16tRRaGiofvrpJydXB2Rt1apV0y+//KKXXnpJv/32m9q0aaP9+/drxYoVCggIcHZ5yIAczi4AsFfJkiW1aNEi1a1bVy4uLvrhhx/k4eGhBQsWKHfu3M4uD8iSfH19tXjxYj311FOSpPnz56ty5cqaMWOGXFwYCwHup169evr222/Vpk0blS1bVqtWrWLufDbGRXDItqKjo9WwYUNVr15d8+fP5+I3IB0OHDigmjVrqmHDhvruu++4eh24i9atW9+xfd26dQoODrYJv3PmzHlQZcFBCMDIFipVqnTHf6j//vtv+fn52YRfbusK/Ctfvnx3/NxcuXJFHh4eNksGXrx48UGWBmR5L774Yrr7Tp8+PRMrQWZgCgSyhZYtWzq7BCDbSZ0nD8B+hNqHGyPAAAAA6XDu3Dnt379fklS6dGn5+vo6uSJkFCPAyLY2b96svXv3SpLKlSunSpUqObkiIGtLTk7W3LlzbT43zZs35+6JwH0kJibq1Vdf1bfffquUlBRJkqurqzp37qwpU6bI09PTyRXCXowAI9s5e/as2rVrp5UrV8rHx0eSFBcXp7p162rWrFn8jxy4g0OHDqlp06Y6efKkSpcuLUnav3+/goKCtGDBApUsWdLJFQJZV48ePbR06VJ9/PHHqlGjhiTpr7/+Ut++fdWwYUNNnTrVyRXCXgRgZDtt27bVkSNH9O2336ps2bKSpD179qhLly4KDg7mlpTAHTRt2lSGYWjGjBnKnz+/JOnChQvq1KmTXFxctGDBAidXCGRdBQsW1OzZs9PcNXHFihV67rnndO7cOecUhgwjACPb8fb21tKlS1WtWjWb9g0bNqhRo0aKi4tzTmFAFpY7d26tW7dOoaGhNu3bt29XjRo1lJCQ4KTKgKzP09NTmzdvtg66pNq9e7cef/xxJSYmOqkyZBSrnyPbSUlJkZubW5p2Nzc369wsALY8PDx0+fLlNO0JCQlyd3d3QkVA9hEWFqbhw4fr2rVr1rarV69q5MiRCgsLc2JlyChGgJHttGjRQnFxcfrhhx9UqFAhSdLJkyfVsWNH5cuXT7/++quTKwSyns6dO2vLli366quv9Pjjj0uS1q9fr5dffllVqlRRZGSkcwsEsrBdu3YpPDxc169fV8WKFSX9+9eTnDlzKioqSuXKlXNyhbAXARjZzvHjx9W8eXPt3r1bQUFB1rby5cvrt99+U+HChZ1cIZD1xMXFqUuXLvr999+tf0FJSkpS8+bNFRkZKW9vbydXCGRtV65c0YwZM7Rv3z5JUtmyZdWxY0fuQppNEYCRLRmGoaVLl9r8ImrQoIGTqwKyvoMHD9p8boKDg51cEQA8eARgAACA+zh16pT++usvnT17Ns31Jn379nVSVcgoAjCypY0bN2rFihV3/EX04YcfOqkqIOsyDEOzZ8++6+dmzpw5TqoMyPoiIyPVo0cPubu7q0CBArJYLNZtFotFR44ccWJ1yAjuBIds5/3339fQoUNVunRp+fv7p/lFBCCtfv366fPPP1fdunXTfG4A3Nvbb7+tYcOGaciQIXJxYQGthwEjwMh2/P39NXbsWL3wwgvOLgXINvLnz6/vv/9eTZs2dXYpQLZToEABbdiwgTsmPkT4bwyyHRcXF+utKAGkj7e3t0qUKOHsMoBsqWvXrvr555+dXQYciBFgZDvjxo3TqVOnNGnSJGeXAmQb33zzjRYtWqSvv/6aZZsAOyUnJ+vpp5/W1atXFRoamuZmTFx7kv0QgJHtpKSkKCIiQgcOHFBISEiaX0RczAOkdfXqVbVq1Upr1qxRsWLF0nxutmzZ4qTKgKzv3Xff1bBhw+567cny5cudWB0ygovgkO307dtXK1asUN26ddNcjQvgzrp06aLNmzerU6dOXAQH2GnChAn6+uuvufbkIcIIMLKdvHnzatasWYqIiHB2KUC2kTt3bkVFRempp55ydilAthMQEKA///xTpUqVcnYpcBAugkO2kz9/fq7EBewUFBQkLy8vZ5cBZEuvvfaapkyZ4uwy4ECMACPbmT59uhYtWqTp06fL09PT2eUA2cKCBQs0ZcoUffbZZypWrJizywGylVatWmn58uUqUKCAypUrx7UnDwECMLKdSpUq6fDhwzIMg4t5gHTKly+frly5oqSkJHl6eqb53Fy8eNFJlQFZ34svvnjP7dOnT39AlcBRuAgO2U7Lli2dXQKQ7bBsIJBxn376qVJSUpQ7d25J0rFjxzR37lyVLVtW4eHhTq4OGcEIMAAAwD00atRIrVu3Vs+ePRUXF6cyZcrIzc1N58+f14cffqhevXo5u0TYiYvgkO0cP35cJ06csD7fsGGD+vXrpy+++MKJVQFZ25YtW7Rz507r83nz5qlly5b63//+pxs3bjixMiDr27Jli2rWrClJmj17tvz9/fX333/r22+/1UcffeTk6pARBGBkOx06dNCKFSskSbGxsWrQoIE2bNigt956S6NGjXJydUDW1KNHDx04cECSdOTIEbVt21aenp76+eef9eabbzq5OiBru3LlivLmzStJWrx4sVq3bi0XFxc98cQT+vvvv51cHTKCAIxsZ9euXXr88cclST/99JNCQ0O1du1azZgxQ5GRkc4tDsiiDhw4oMcee0yS9PPPP6t27dqaOXOmIiMj9csvvzi3OCCLCw4O1ty5c3X8+HFFRUWpUaNGkqSzZ8+yvGA2RQBGtnPz5k15eHhIkpYuXarmzZtLksqUKaPTp087szQgyzIMQykpKZL+/dw0bdpU0r/rA58/f96ZpQFZ3rBhw/TGG2+oWLFiql69usLCwiT9OxpcqVIlJ1eHjOAiOGQ71atXV926dRUREaFGjRpp3bp1qlixotatW6dnnnnGZn4wgH/Vq1dPQUFBatCggbp27ao9e/YoODhYq1atUpcuXXTs2DFnlwhkabGxsTp9+rQqVqwoF5d/xw83bNggLy8vlSlTxsnVwV4EYGQ7K1euVKtWrRQfH68uXbro66+/liT973//0759+1iQHLiDHTt2qGPHjoqJidGAAQM0fPhwSdKrr76qCxcuaObMmU6uEAAeHAIwsqXk5GTFx8crX7581rZjx47J09NTfn5+TqwMyF6uXbsmV1fXNDfGAICHGQEYAAAApsJFcAAAADAVAjAAAABMhQAMAAAAUyEAI1u5efOm6tevr4MHDzq7FCBbSb17IgCAAIxsxs3NTTt27HB2GUC207hxY5UsWVLvvvuujh8/7uxyAMCpCMDIdjp16qSvvvrK2WUA2crJkyfVp08fzZ49WyVKlFB4eLh++ukn3bhxw9mlAcADxzJoyHZeffVVffvttypVqpSqVKmi3Llz22z/8MMPnVQZkD1s2bJF06dP1w8//CBJ6tChg7p27aqKFSs6uTIAeDAIwMh26tate9dtFotFy5cvf4DVANnTqVOn9MUXX2jMmDHKkSOHrl27prCwMH322WcqV66cs8sDgExFAAYAk7h586bmzZunr7/+WkuWLFHVqlXVtWtXtW/fXufOndPQoUO1ZcsW7dmzx9mlAkCmIgAj2zp06JAOHz6sWrVqKVeuXDIMQxaLxdllAVnSq6++qh9++EGGYej5559Xt27dVL58eZs+sbGxKlSokFJSUpxUJQA8GDmcXQBgrwsXLui5557TihUrZLFYdPDgQZUoUUJdu3ZVvnz5NGHCBGeXCGQ5e/bs0ZQpU9S6dWt5eHjcsU/BggVZLg2AKbAKBLKd/v37y83NTTExMfL09LS2t23bVosWLXJiZUDWtWzZMrVv3/6u4VeScuTIodq1az/AqgDAORgBRrazePFiRUVFqXDhwjbtpUqV0t9//+2kqoCs57fffkt33+bNm2diJQCQtRCAke0kJibajPymunjx4j1HtwCzadmyZbr6WSwWJScnZ24xAJCFMAUC2U7NmjX17bffWp9bLBalpKRo3Lhx91wiDTCblJSUdD0IvwDMhlUgkO3s2rVL9evXV+XKlbV8+XI1b95cu3fv1sWLF7VmzRqVLFnS2SUCWcrNmzfVuHFjffbZZypVqpSzywEAp2MEGNlO+fLldeDAAT311FNq0aKFEhMT1bp1a23dupXwC9yBm5ubduzY4ewyACDLYAQYAEygf//+8vDw0JgxY5xdCgA4HRfBIdsJDg5Wp06d1LFjR/6cC6RTUlKSvv76ay1dulRVqlRR7ty5bbZ/+OGHTqoMAB48RoCR7UycOFEzZ87U5s2bVaVKFXXq1Elt27ZVQECAs0sDsqx7XSBqsVi0fPnyB1gNADgXARjZ1oEDBzRjxgz98MMPOnr0qOrWratOnTqpc+fOzi4NAABkYQRgPBTWrVunXr16aceOHSzpBNzDoUOHdPjwYdWqVUu5cuWSYRiyWCzOLgsAHijmACNb27Bhg2bOnKkff/xR8fHxevbZZ51dEpAlXbhwQc8995xWrFghi8WigwcPqkSJEuratavy5cunCRMmOLtEAHhgWAYN2c6BAwc0fPhwPfroo6pRo4b27t2rsWPH6syZM5o1a5azywOypP79+8vNzU0xMTE2d1Js27atFi1a5MTKAODBYwQY2U6ZMmVUrVo19e7dW+3atZO/v7+zSwKyvMWLFysqKkqFCxe2aS9VqpT+/vtvJ1UFAM5BAEa2s3//fpY/A+yUmJhoM/Kb6uLFi/Lw8HBCRQDgPEyBQLZTqlQpxcXF6csvv9SQIUN08eJFSdKWLVt08uRJJ1cHZE01a9bUt99+a31usViUkpKicePG3XOJNAB4GLEKBLKdHTt2qH79+vLx8dGxY8e0f/9+lShRQkOHDlVMTIzNP/IA/rVr1y7Vr19flStX1vLly9W8eXPt3r1bFy9e1Jo1a7iNOABTYQQY2U7//v314osv6uDBg8qZM6e1vWnTplq9erUTKwOyrvLly+vAgQN66qmn1KJFCyUmJqp169baunUr4ReA6TACjGzH29tbW7ZsUcmSJZU3b15t375dJUqU0N9//63SpUvr2rVrzi4RAABkYVwEh2zHw8ND8fHxadoPHDggX19fJ1QEZA/Xrl3Tjh07dPbsWaWkpNhsa968uZOqAoAHjwCMbKd58+YaNWqUfvrpJ0n/XswTExOjQYMGqU2bNk6uDsiaFi1apM6dO+v8+fNptlksFu6gCMBUmAKBbOfSpUt65plntGnTJl2+fFmFChVSbGyswsLC9Mcffyh37tzOLhHIckqVKqVGjRpp2LBhrJ0NwPQIwMi2/vrrL+3YsUMJCQmqXLmyGjRo4OySgCzLy8uLC94A4P8jAAOACbz00kuqUaOGunbt6uxSAMDpCMDIlpYtW6Zly5bd8WKer7/+2klVAVnXlStX9Oyzz8rX11ehoaFyc3Oz2d63b18nVQYADx4XwSHbGTlypEaNGqWqVasqMDBQFovF2SUBWd4PP/ygxYsXK2fOnFq5cqXN58ZisRCAAZgKI8DIdgIDAzVu3Dg9//zzzi4FyDYCAgLUt29fDR48WC4u3AMJgLnxWxDZzo0bN/Tkk086uwwgW7lx44batm1L+AUAEYCRDXXr1k0zZ850dhlAttKlSxf9+OOPzi4DALIE5gAj27l27Zq++OILLV26VBUqVEhzMc+HH37opMqArCs5OVnjxo1TVFQUnxsApsccYGQ7devWves2i8Wi5cuXP8BqgOyBzw0A/B8CMAA85JKTk7VmzRqFhoYqX758zi4HAJyOAAwAJpAzZ07t3btXxYsXd3YpAOB0XAQHACZQvnx5HTlyxNllAECWwAgwAJjAokWLNGTIEL3zzjuqUqWKcufObbPdy8vLSZUBwINHAAYAE7h1/d9b7wJnGIYsFouSk5OdURYAOAXLoAGACaxYscLZJQBAlsEIMAAAAEyFEWAAMIm4uDh99dVX2rt3rySpXLlyeumll+Tt7e3kygDgwWIEGABMYNOmTQoPD1euXLn0+OOPS5I2btyoq1evavHixapcubKTKwSAB4cADAAmULNmTQUHB2vatGnKkePfP/4lJSWpW7duOnLkiFavXu3kCgHgwSEAA4AJ5MqVS1u3blWZMmVs2vfs2aOqVavqypUrTqoMAB48boQBACbg5eWlmJiYNO3Hjx9X3rx5nVARADgPARgATKBt27bq2rWrfvzxRx0/flzHjx/XrFmz1K1bN7Vv397Z5QHAA8UqEABgAh988IEsFos6d+6spKQkSZKbm5t69eqlMWPGOLk6AHiwmAMMAA+pHTt2qHz58jZ3gbty5YoOHz4sSSpZsqQ8PT2dVR4AOA0BGAAeUq6urjp9+rT8/PxUokQJbdy4UQUKFHB2WQDgdMwBBoCHlI+Pj44ePSpJOnbsmFJSUpxcEQBkDcwBBoCHVJs2bVS7dm0FBgbKYrGoatWqcnV1vWPfI0eOPODqAMB5CMAA8JD64osv1Lp1ax06dEh9+/bVyy+/zJJnACDmAAOAKbz44ov66KOPCMAAIAIwAAAATIaL4AAAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEgi3rhhRfUsmXLu24fMWKEHnvssQdWDwA8LAjAAJBNvfHGG1q2bJmzy7AqVqyYJk2aZPfr6tSpo379+jm8HgC4G26EAQDZVJ48eZQnTx5nlwEA2Q4jwACQTrNnz1ZoaKhy5cqlAgUKqEGDBkpMTLROVXj//ffl7+8vHx8fjRo1SklJSRo4cKDy58+vwoULa/r06Tb727lzp+rVq2fdX/fu3ZWQkHDX42/cuFG+vr4aO3aspLRTIFLr+OCDDxQYGKgCBQqod+/eunnzprXP6dOnFRERoVy5cql48eKaOXNmukduDcPQiBEjVKRIEXl4eKhQoULq27evpH9Hcf/++2/1799fFotFFotFknThwgW1b99ejzzyiDw9PRUaGqoffvjBpuZVq1Zp8uTJ1tcdO3ZMkZGR8vHxsTn+3LlzrfuVpO3bt6tu3brKmzevvLy8VKVKFW3atOm+5wEAjAADQDqcPn1a7du317hx49SqVStdvnxZf/75p1LvJbR8+XIVLlxYq1ev1po1a9S1a1etXbtWtWrV0vr16/Xjjz+qR48eatiwoQoXLqzExESFh4crLCxMGzdu1NmzZ9WtWzf16dNHkZGRaY6/fPlytW7dWuPGjVP37t3vWueKFSsUGBioFStW6NChQ2rbtq0ee+wxvfzyy5Kkzp076/z581q5cqXc3Nw0YMAAnT17Nl3vwS+//KKJEydq1qxZKleunGJjY7V9+3ZJ0pw5c1SxYkV1797deixJunbtmqpUqaJBgwbJy8tLCxYs0PPPP6+SJUvq8ccf1+TJk3XgwAGVL19eo0aNkiT5+vqmq56OHTuqUqVKmjp1qlxdXbVt2za5ubml67UATM4AANzX5s2bDUnGsWPH0mzr0qWLUbRoUSM5OdnaVrp0aaNmzZrW50lJSUbu3LmNH374wTAMw/jiiy+MfPnyGQkJCdY+CxYsMFxcXIzY2Fjrflu0aGHMmTPHyJMnjzFr1iyb4w4fPtyoWLFimjqSkpKsbc8++6zRtm1bwzAMY+/evYYkY+PGjdbtBw8eNCQZEydOvO97MGHCBOPRRx81bty4ccftRYsWTdd+IiIijNdff936vHbt2sZrr71m02f69OmGt7e3Tduvv/5q3PrPVt68eY3IyMj7Hg8AbscUCABIh4oVK6p+/foKDQ3Vs88+q2nTpumff/6xbi9XrpxcXP7vV6q/v79CQ0Otz11dXVWgQAHraOvevXtVsWJF5c6d29qnRo0aSklJ0f79+61t69ev17PPPqvvvvtObdu2vW+d5cqVk6urq/V5YGCg9Zj79+9Xjhw5VLlyZev24OBg5cuXL13vwbPPPqurV6+qRIkSevnll/Xrr78qKSnpnq9JTk7WO++8o9DQUOXPn1958uRRVFSUYmJi0nXMexkwYIC6deumBg0aaMyYMTp8+PB/3icAcyAAA0A6uLq6asmSJVq4cKFCQkI0ZcoUlS5dWkePHpWkNH96t1gsd2xLSUmx67glS5ZUmTJl9PXXX9vM5b0bRxzzboKCgrR//359+umnypUrl1555RXVqlXrnnWNHz9ekydP1qBBg7RixQpt27ZN4eHhunHjxj2P5eLiYp1ekur244wYMUK7d+9WRESEli9frpCQEP36668ZP0EApkEABoB0slgsqlGjhkaOHKmtW7fK3d09w4GrbNmy2r59uxITE61ta9askYuLi0qXLm1tK1iwoJYvX65Dhw7pueeeS1cIvpvSpUsrKSlJW7dutbYdOnTIZiT7fnLlyqVmzZrpo48+0sqVKxUdHa2dO3dKktzd3ZWcnGzTf82aNWrRooU6deqkihUrqkSJEjpw4IBNnzu9ztfXV5cvX7Z5f7Zt25amnkcffVT9+/fX4sWL1bp16zQXGgLAnRCAASAd1q9fr/fff1+bNm1STEyM5syZo3Pnzqls2bIZ2l/Hjh2VM2dOdenSRbt27dKKFSv06quv6vnnn5e/v79NXz8/Py1fvlz79u1T+/bt7zvt4G7KlCmjBg0aqHv37tqwYYO2bt2q7t27K1euXDarK9xNZGSkvvrqK+3atUtHjhzR999/r1y5cqlo0aKS/l0HePXq1Tp58qTOnz8vSSpVqpSWLFmitWvXau/everRo4fOnDljs99ixYpp/fr1OnbsmM6fP6+UlBRVr15dnp6e+t///qfDhw9r5syZNhcHXr16VX369NHKlSv1999/a82aNdq4cWOGvx8AzIUADADp4OXlpdWrV6tp06Z69NFHNXToUE2YMEFNmjTJ0P48PT0VFRWlixcvqlq1anrmmWdUv359ffzxx3fsHxAQoOXLl2vnzp3q2LFjmhHT9Pr222/l7++vWrVqqVWrVnr55ZeVN29e5cyZ876v9fHx0bRp01SjRg1VqFBBS5cu1e+//64CBQpIkkaNGqVjx46pZMmS1pUchg4dqsqVKys8PFx16tRRQEBAmrvbvfHGG3J1dVVISIh8fX0VExOj/Pnz6/vvv9cff/xhXTptxIgR1te4urrqwoUL6ty5sx599FE999xzatKkiUaOHJmh9wWAuViM2ydZAQBM48SJEwoKCtLSpUtVv359Z5cDAA8EARgATGT58uVKSEhQaGioTp8+rTfffFMnT57UgQMHWEMXgGkwBQIATOTmzZv63//+p3LlyqlVq1by9fW13hRjxowZ1tsr3/4oV66cs0sHAIdhBBgAIEm6fPlymgvUUrm5uVkvdgOA7I4ADAAAAFNhCgQAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADCV/wexUdtIjZCKOwAAAABJRU5ErkJggg==",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Список колонок для построения графиков\n",
|
||
"columns = ['gender', 'age', 'hypertension', 'heart_disease', 'ever_married',\n",
|
||
" 'work_type', 'Residence_type', 'avg_glucose_level', 'bmi',\n",
|
||
" 'smoking_status']\n",
|
||
"\n",
|
||
"# Создание диаграмм зависимости\n",
|
||
"for column in columns:\n",
|
||
" plt.figure(figsize=(8, 6)) # Установка размера графика\n",
|
||
" if pd.api.types.is_numeric_dtype(df[column]): # Проверяем, является ли колонка числовой\n",
|
||
" # Проверяем, содержит ли колонка только два уникальных значения (0 и 1)\n",
|
||
" if df[column].nunique() == 2 and set(df[column].unique()).issubset({0, 1}):\n",
|
||
" # Если да, то строим столбчатую диаграмму\n",
|
||
" counts = df[column].value_counts() # Считаем количество повторений каждого значения\n",
|
||
" counts.plot(kind='bar') # Создаем столбчатую диаграмму\n",
|
||
" plt.title(f'Количество значений для {column}')\n",
|
||
" plt.xlabel(column)\n",
|
||
" plt.ylabel('Количество повторений')\n",
|
||
" else:\n",
|
||
" # Если колонка числовая, создаем диаграмму рассеяния\n",
|
||
" plt.scatter(df['stroke'], df[column], alpha=0.5) # Создаем диаграмму рассеяния\n",
|
||
" plt.title(f'Зависимость {column} от stroke')\n",
|
||
" plt.xlabel('stroke (0 = нет, 1 = да)')\n",
|
||
" plt.ylabel(column)\n",
|
||
" plt.xticks([0, 1]) # Установка меток по оси X\n",
|
||
" plt.grid() # Добавление сетки для удобства восприятия\n",
|
||
" else:\n",
|
||
" # Если колонка не числовая, строим столбчатую диаграмму\n",
|
||
" counts = df[column].value_counts() # Считаем количество повторений каждого значения\n",
|
||
" counts.plot(kind='bar') # Создаем столбчатую диаграмму\n",
|
||
" plt.title(f'Количество значений для {column}')\n",
|
||
" plt.xlabel(column)\n",
|
||
" plt.ylabel('Количество повторений')\n",
|
||
"\n",
|
||
" plt.show() # Отображение графика"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Создадим выборки данных. разбивать будем относительно параметра инсульта, ведь это тот самый параметр по которому наша выборка разбивается на классы. И собственно его нам и надо будет предсказывать"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 32,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"stroke\n",
|
||
"0 4861\n",
|
||
"1 249\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Обучающая выборка: (3066, 12)\n",
|
||
"stroke\n",
|
||
"0 2917\n",
|
||
"1 149\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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N2q7DlW0XKlNYWIiMjAykpKQgIiICt27d0vsbq5ej6lxWUfviiy+0Ps+cOVNrXtV0mRcKhQgNDdV8FovFCA0NRVpaGq5fv65VVqVSYfz48bh8+TKOHDmidUYXqLttJVDLU9nr1q2Dn58fhEIhnJyc0KxZM62ZoFKpsGbNGqxfvx4JCQlQKpWa79Snu4GyU+DNmjWDUFgnZ9Q1fH19tT7zeDz4+PhortfFxMQAACZMmFBhHTk5ObCxsdF8zsjI0Kn3ZTExMWCMVVju5dOG6gWysoU+JiYGOTk5cHR01Pt9Wlqa1ufjx49rNijVtXDhQri6uiI0NFTnuk9MTAwePHhQYZ0vt69PUlISBg8ejIKCAmRmZla401Wd+QGUnWZdunQpoqKitK7dlK83Li4OfD4fLVq0qLAe9Ua5sv67jx8/BgA0a9ZM5zt/f39cuHBBa9jTp0+15pWLiwsiIiIqnSaJRILly5dj9uzZcHJywhtvvIEhQ4Zg/PjxcHZ2rnC8l3l7e1crdrFYjCZNmmi+V0tISMD777+Pd955B2vXrtX6LjY2FowxzJ8/H/Pnz9fbflpaWpU3XU2fPl1rR3zixImYOXNmpeM8fvwYrq6uWjvbADQ7O+rpUP/+/v7+WuUEAgF8fX016z8AjB49GjNmzMCuXbuwYMEC5OTk4PDhw5g5c6amHplMhnbt2mHz5s0IDg7WrNeFhYU6MV68eBELFy7EpUuXdL7PycnRumHpr7/+0lpGXv59rK2t4eLiohXvq6jtOlzZdqEyYWFhWjvfAwcOxPLly3XKlT9VbGFhgaFDh2LVqlV6u93yeDzw+XydbevL86qmy7yrq6vOTZLqu9ETExO17kafN28eLl++DB6Pp3cZqIttpVqtMmKnTp00d2Xr869//Qvz58/Hhx9+iK+//hq2trbg8/mYMWOGzpEoF9QxhIWFoW3btnrLlN+QyuVyJCcno1+/flXWy+Px8Mcff2jtseurEyi74QdApRtflUoFR0dH7Nq1S+/3Ly8EnTt3xtKlS7WGhYeH4+DBg3rHf/DgAbZv346dO3fqvd6oUqnQqlUrrFy5Uu/4Hh4eFcauFhsbi/bt22PVqlUYN24cfvzxR707RdWZH+fPn8ewYcPQs2dPrF+/Hi4uLhCJRNi2bZvODVtccHJyws6dOwGUbZC3bt2KgQMH4sKFC2jVqlWF482YMQNDhw7FgQMHcOzYMcyfPx/Lli3D6dOn0a5du2q1Xf6orTZcXFw0Z5auXbumtY6r15nPP/8cAwYM0Du+j49PlW188cUX6N+/P5RKJe7du4clS5aAMYZt27a9UuxAzabfxsYGQ4YM0STmffv2oaSkBO+//75WuY0bN2L48OHo2rVrhXXFxcWhb9++8Pf3x8qVK+Hh4QGxWIwjR45g1apVOtu81q1bY8WKFdi4cSMiIiJqNpG1UJt1uKrtQmXGjRuH8ePHQ6VSIT4+Hl9//TWGDBmCkydPau08L1iwAD169EBpaSmuX7+OJUuW4MWLF5ozm+Wpf1su+ytHRkZi+/btCA8Px5QpUxAVFaV1dq8utpVqdXuo+j/79u1D79698cMPP2gNf/HiBezt7TWfmzZtisjISJSWltbJDUxq6iNiNcYYYmNj0bp1a027AGBlZYXg4OAq67t16xZKS0sr3RlR18sYg7e3t2avqzL3798Hj8fTezRWvs6TJ0+iW7du1drw2Nvb60xTZTcdzJ07F23btsXo0aMrbF99Kqq2K4V6Y+/k5ISDBw9i9uzZGDRokM5ORXXmR0REBKRSKY4dO6a1Ury8YW/atClUKhXu379f4c6Xejm4e/duhUnF09MTABAdHa05JaUWHR2t+V5NKpVqzf9hw4bB1tYW4eHh2LRpU4XTpY5n9uzZmD17NmJiYtC2bVusWLFCk+hrOv/Lx96kSRPNcLlcjoSEBJ3lRCqV4vDhw+jTpw8GDhyIc+fOISAgAAA044tEomqtMxVp0aKFZvwBAwagpKQEX331Fb755hvNTaH6puPkyZPIy8vTOmp++PCh1nSqzxi8PL0qlQoxMTE6Ozjjx4/H8OHDcfXqVezatQvt2rXTTK9ap06dEB8fj9u3byMvLw8AsGPHDq0bmQ4dOoSSkhL89ttvaNy4sWZ4RacubWxsEBwcjJs3byIiIgLR0dHo2LGj5vvc3FwkJyfr7WFRG7VZh6vaLlSmSZMmWsuItbU1xo4di8uXL6NLly6a4a1atdKUCwkJwZMnT/Djjz9qegCU5+3trfkdy18Wenle1XSZf/78uU7XwkePHgGA1l3hQNnNpBMmTEDbtm3RoUMHLF26VOumxbrYVqrVyyM5BQKBziPS9u7dq3MN6u2330ZGRgbCw8N16nh5/JrYsWOHZiUCynYUkpOTERISAgAIDAxE06ZN8e2332rd6q72cjeKvXv3QiAQVLmijBgxAgKBAIsXL9aJnzGGzMxMzWeFQoGIiAh06tSp0tOco0aNglKp1HvXqkKhqNH1mZddunQJBw8exL///e8KF6RRo0YhKSkJW7Zs0fmuqKhIc/dvZfz8/DSnp9auXQuVSoV//OMfWmWqOz8EAgF4PJ7W5ZHExESdnY8333wTfD4fS5Ys0TliUf82/fv3h6WlJZYtW6ZzHV5dpkOHDnB0dMTGjRu1Tpv/8ccfePDggdZd4PrI5XIoFIpKu0sUFhbqtN+0aVNYWlpqjWdubl6j3zs4OBhisRjfffed1vL4ww8/ICcnR2/s1tbWOHbsGBwdHdGvXz/N6X5HR0f06tULmzZtQnJyss54+roeVYe6q0tlXaYGDRoEpVKps51YtWoVeDyeZr3u27cvJBIJvvvuO63ffNeuXUhNTdVZf0NCQmBvb4/ly5fj3LlzOkfLajKZDJ07d0ZwcDCCg4O1NvgANGfHys/jnJycKs8CqM88rF69Wmv4mjVrND1W6kJN1+HqbBdqQv0bV9VlSKVSgc/n621T3SOnqnlV02VeoVBo7TDL5XJs2rQJDg4OCAwM1Cqr7inSpk0bfP7551i+fDnu3r2r+b4utpVq9XLEPGTIECxZsgQTJ05E165dcefOHezatUtngR4/fjx27NiBWbNm4cqVK+jRowcKCgpw8uRJfPLJJxg+fHit2re1tUX37t0xceJEpKamYvXq1fDx8cHkyZMBAHw+H99//z1CQkIQEBCAiRMnws3NDUlJSThz5gysrKxw6NAhFBQUYN26dfjuu+/g5+en1Y9NndBv376NS5cuoUuXLmjatCmWLl2KuXPnIjExEW+++SYsLS2RkJCA/fv3Y8qUKfj8889x8uRJzJ8/H7dv38ahQ4cqnZagoCCEhoZi2bJliIqKQv/+/SESiRATE4O9e/dizZo1GDlyZK3m0/Hjx9GvX79Kj4DGjRuHPXv2YOrUqThz5gy6desGpVKJhw8fYs+ePTh27FiVZxLKc3Z2RlhYGCZNmoT3338fgwYNqtH8GDx4MFauXImBAwdi7NixSEtLw7p16+Dj44Pbt29ryvn4+GDevHn4+uuv0aNHD4wYMQISiQRXr16Fq6srli1bBisrK6xatQqTJk1Cx44dMXbsWNjY2ODWrVsoLCzEjz/+CJFIhOXLl2PixIkICgrCu+++q+ku5eXlpXN9tKCgQOtU9k8//YTi4uJKuxI9evQIffv2xahRo9CiRQsIhULs378fqampGDNmjKZcYGAgNmzYgKVLl8LHxweOjo46R/HlOTg4YO7cuVi8eDEGDhyIYcOGITo6GuvXr0fHjh0rTET29vY4ceIEunfvjuDgYFy4cAFubm5Yt24dunfvjlatWmHy5Mlo0qQJUlNTcenSJTx79kzvcwpedunSJQiFQs2p7LVr16Jdu3Y6RyflDR06FL1798a8efOQmJiINm3a4Pjx4zh48CBmzJihOfNha2uLf/7zn5g/fz4GDBiA4cOHIz4+HuHh4WjTpg0mTZqkVa9IJMKYMWMQHh4OgUBQ64cj9e/fH2KxGEOHDkVoaCjy8/OxZcsWODo66t2JUWvdujU++OADbN++HQUFBejfvz+ioqLw/fffY+DAgTrdQ9PT03H06FHNZ/XLG8oPU58tvHPnDmJjY+Hj41Pjdbg624XK3L59Gzt37gRjDHFxcfjuu+/g7u6us52IioqChYUFFAoFrl+/jh07dmD48OF6LwMGBATgo48+wubNm5GdnY1evXrhxo0b2Lp1K0JCQjTzqqbLvKurK5YvX47ExET4+flh9+7diIqKwubNmys9i7tw4UJERERg8uTJuHjxIvh8ft1uK6t9/zb7u9vB1atXKy1XXFzMZs+ezVxcXJhMJmPdunVjly5d0uoqoFZYWMjmzZvHvL29mUgkYs7OzmzkyJEsLi6OMVa77lI///wzmzt3LnN0dGQymYwNHjyYPX78WGf8mzdvshEjRjA7OzsmkUiYp6cnGzVqFDt16pRW21X9TZgwQaveiIgI1r17d2Zubs7Mzc2Zv78/mzZtGouOjmaMMTZ9+nTWs2dPdvToUZ2Y9HXFYKys201gYCCTyWTM0tKStWrVis2ZM4c9f/5cU6am3aV4PB67fv261nB9v5FcLmfLly9nAQEBTCKRMBsbGxYYGMgWL17McnJydNqrqj7GGOvTpw9r3Lgxy8vLq/H8+OGHH5ivry+TSCTM39+fbdu2rcL5tnXrVtauXTtN3EFBQezEiRNaZX777TfWtWtXJpPJmJWVFevUqRP7+eeftcrs3r1bU4+trS177733NN0D1dRdOtR/FhYWrH379uynn36qdB5lZGSwadOmMX9/f2Zubs6sra1Z586d2Z49e7TKpaSksMGDBzNLS0sGQDNfq1ovw8PDmb+/PxOJRMzJyYl9/PHHLDs7W6tM+e5SarGxsczFxYU1b96cpaenM8YYi4uLY+PHj2fOzs5MJBIxNzc3NmTIELZv375Kp/HldYnP5zN3d3c2YcIEnfmoT15eHps5cyZzdXVlIpGI+fr6srCwMK3ujmrr1q3Tmt7Q0FCWmZmpt94rV64wAKx///5VxqCmb1n77bffWOvWrZlUKmVeXl5s+fLlmu6gCQkJmnIvrw+lpaVs0aJFzMvLi4lEIubu7s6++OILne5Xnp6e1doWlf8r322puutwTbYL+pRvn8fjMWdnZzZixAj24MEDTRn1dlr9JxQKmaenJ/vss880y6W+roelpaVsyZIlmlzh4eHB5syZo7erWk2W+WvXrrEuXbowqVTKPD09WXh4uFa58t2lyjt79izj8XiabriMvdq2sjze/2amUTh79ix69+6NvXv31voosrzExER4e3sjISGhwj36RYsWITExUedJO4QQw3fr1i20bdsWO3bswLhx47gOp86on5yl78mEpEyvXr2QkZGhdTraUNBrHwkhJmvLli2wsLDAiBEjuA6FEI16ucZsLCwsLPDee+9VejNS69atK7yblBBimA4dOoT79+9j8+bN+PTTT43uhR+tWrWi1/C+xigxV8Le3l5zI09FaE+bkNfP9OnTkZqaikGDBmHx4sVch1PnZs+ezXUI5BUY1TVmQggh5HVH15gJIYQQA0KJmRBCCDEglJgJIYQQA0KJmRBCCDEglJgJIYQQA0KJmRBCCDEglJgJIYQQA0KJmRBCCDEglJgJMVF//vknhg4dCldXV/B4PJ13WhNCuEGJmRATVVBQgDZt2mDdunVch0IIKYeelU2IiQoJCUFISAjXYRBCXkJHzIQQQogBocRMCCGEGBBKzIQQQogBocRMCCGEGBBKzIQQQogBobuyCTFR+fn5iI2N1XxOSEhAVFQUbG1t0bhxYw4jI8S08RhjjOsgCCEN7+zZs+jdu7fO8AkTJmD79u0NHxAhBAAlZkJeC0oVQ0Z+CdLzyv3llyC7QI5SpQoKFcMsi+OwK00FhGJAIAYEEsDcDmjkBdh4AtYegEjK9aQQQqpAiZkQA5NfosCD5FzcS8rB/eRc3Huei5jUfMiVqkrHu+W5BtapkZWU4AGWzoCDP+AUADi1LPvXsTkgENXtRBBCao2uMRPCMaWK4caTbJyNTsPZ6HTcT85F/ewuMyAvuewv/szfg8UWgHdPwLcf4NMPaORRH40TQqqJEjMhHCiUK3DsXgpOPUjD+ZgM5BSVcheMPB+IPlL2ByC52QT8bDcNg1u7opmzJXdxEWKiKDET0oAi4zOx59ozHL2bjAK5kutw9Dqb54rvbsXiu9Ox8HOywHudPfF2oDssJLS5IKQh0DVmQupZoVyBvdeeYVfkYzxKza+3dqq+xlw1xhMgCFvwpEj7JjELiRAj2rthfBcv+DhavFIbhJDK0S4wIfWkSK7ET5cTselcPDIL5FyHUy25jh3x5LHundv5JQrsuPQYOy49Rncfe/wj2BcdvWw5iJAQ40eJmZA6VlyqxM7Lj7HxXDwy8ku4DqdGLoq6VFnmQmwGLsRmILi5I+YM9IefE12HJqQuUWImpA7tvfYU/zkWjfS81yshq21Oa17tsicfpOH0wzS81c4ds/r7wa2RrB4jI8R0UGImpA7Ep+fjq/13cDk+i+tQaq3QvhWintXs+rGKARE3nuHw7ef4rK8vpgY1hYDPq6cICTENlJgJeQVyhQrrz8Zi/dk4yBWVPwDE0F2Xdav1uCUKFcKORePYvRSEjWxD3awIeQX0dilCaune8xyErPkTq0/GvPZJGQC2Z7V85TpuP8vB0LUXsPZUDBRVPKmMEKIfJWZCauGXK08wYv1fiEsv4DqUOiFv1ASnMuvmLmu5UoUVJx5hxIa/8DSrsE7qJMSUUGImpAaKS5X4fO8tfPnrHZQYwVGy2j2rHnVe5+1nORgafgFno9PqvG5CjBklZkKqKSGjAG+uu4h9159xHUqd+yWvTb3U+6KwFB9uv4oNZ+PqpX5CjBElZkKq4frjLLy1/iIepuRxHUqdU5o7YU+KU73Vr2LA8qMPMWtPFEoUhvkYUkIMCSVmQqpw8n4q3vs+Ei8KOXzRRD2Ks+0Jxuq/i9OvN5Iwecd1FJdSciakMpSYCanEwagkTN15HcWlxnM9+WX7i9s1WFt/PkrHh9uvoshAX+BBiCGgxExIBXZffYKZu6OgUBnve16YxArbnzfs+5f/isvEhK1XUFCiaNB2CXldUGImRI/fbydj7q93YMQ5GQDwzKEHipSCBm/3SmIWxv0Qidxi47w8QMiroMRMyEsux2di5p4og0zKOZf34vHyIcg6ubnCMqVKhiXnStD0uzxIl+aizcZ8HI3VPjrddbsUHqvy4P/ZAWSd2qL1nSInFUmbp0BVUr99kG88eYGpP11HKT2IhBAtlJgJKedhSi4m77hmkE/yKkl+hLyooxA5eFVa7p+nS7DpuhxrQ6S4P80CUwPFeGt3IW4ml13XzShUYdKhIoQNtITH2MUouH8WhbFXNONnHl8Pm6APwJeY1efkACg7rT3/wN16b4eQ1wklZkL+5/mLInyw9Sryig3v2qdKXoSMQ9/CbuB08KWVv2jip9ul+Kq7BIN8RWhiw8fHHcUY5CvEiktl74SOz2awlvDQt09vFNu3gLRxa5RmPgUAFNw/Bx5fCLNmXet9mtR+ufoUG89RP2dC1CgxEwKgRKHEpB+vISW3mOtQ9Mo6sQGyph0h82pbZdkSJSB96fU0MiEPF56U7XD42vJRWMqw9Zk7lEV5kCc/gtjBC8rifLw4vxO2/abWwxRUbvnRhzh6N6XB2yXEEFFiJgTAN78/wP3kXK7D0Kvg/jnIU+JgEzShWuUHNBVg5WU5YjKVUDGGE3EK/PqgFMn5ZRfNbWQ8bH/LHF9vPoSUHbNg3rIPZE0CkX36B1i2HwJFTiqeb/sMz3/4BAUPL9TnpGkwBszcHYVHqcb3ABdCaope+0hM3tG7ydhx6THXYeilyE1H1qktcBr9NXhCcbXGWTNQismHiuG/rgA8AE1t+ZjYVoStUX/fAR0c1AX2XjM0n4uf3EFpeiJs+4Xi+eYpsB/6BQTmNkjeMQtSj5YQmDeq2wnTo6hUiRm/ROHAtG4QC+mYgZguSszEpD3LLsScfbe5DqNC8pRYqApfIHn7P/4eyFQoeXoPeTcOo/Hn+8Hja3d3cjDn48AYMxQrGDILGVwtefjyZAma2Pyd7C6JuvxdnaIUWcc3wG7ILCiyk8FUSkgbtwIAiGzdUJIcDTOfzvU7of9zPzkXK05EY25I8wZpjxBDRImZmCyliuGzn28i1wBv9lKTeraBy4fhWsMyj6yByM4dVp3f1knKWuMKeXCz4qFUyRDxoBSjAkSa7zalt9D8P+evXyBt0h4SZx/IU+MA1d9P5WIqBaBq2DvUt/wZjz7NHNG5iV2DtkuIoaDETEzWT5cScePJC67DqBRfYgbxS92jeCIJ+FJLzfCMwysgsLQDxpd9H/lMgaQ8hrbOAiTlqrDoXAlUDJjTTQIAKLILwI0kSwCAPOMJCh6eh8sH3wEAhLbuAI+PvFvHIbCwQWnmM4hdfBtkWtVUDJi15xb+mNEDVlJR1SMQYmQoMROTlJZXjBUnHnEdRp1Q5KYDPD7U93IWK8r6Msdnq2Ah5mGQrxA/vSVDI2nZiypumnUDADDGkHU0HDZ9JoEvlgIA+CIJ7AbNQNaJDWDKUtj2mwqhpX2DT1PSiyKEHY3G12+2bPC2CeEajzFmgM83IqR+zdwdhf03k7gOo07d8lwD69TIKstNtVyLo+mGf5pYwOfht0+7IcDVmutQCGlQdOsjMTmX4zONLilXV6m112uRlIGyewAW/XaP6zAIaXCUmIlJUaoYFh403Y39faseXIdQI1cTs+nBI8TkUGImJuVgVBKiTfghFnvy23AdQo395+hDKOhFF8SEUGImJkOpYlh7OpbrMDijMnPALynOXIdRY/EZBTgY9ZzrMAhpMJSYick4fPs5EjIKuA6DM/F2PaFkr+cqv+V8PNchENJgXs+1lJBa2HDWtN9gdLCkPdch1NrDlDz8+Sid6zAIaRCUmIlJOBudhocppnttmUkssTXJk+swXgkdNRNTQYmZmIT/Rj7hOgROPbfvjgLl6726n4/JwMMUw3wDGCF16fVeUwmphqwCOc5Ep3EdBqeOqTpwHUKd+PEvw3wLGCF1iRIzMXoHo5JQqjTdB9wxgQQbn/twHUadOHo3GaXUdYoYOUrMxOhF3HjGdQicynJ8A2klxvEyiOzCUlyIyeA6DELqFSVmYtSiU/JwN8m0r0ue5XfiOoQ69dst6tNMjBslZmLUDt827Y044/GxMcWf6zDq1In7qSguVVZdkJDXFCVmYtT+NPHTnvkO7RFTIOM6jDqVX6LAWRO/mY8YN0rMxGjlFJbizrMXXIfBqcviLlyHUC8uxJr2DhcxbpSYidH6Ky4DKtO9GRsA8H1GANch1IsrCVlch0BIvaHETIzWeRM/qiq2bY7IF1Zch1EvYtLykV0g5zoMQuoFJWZitC6aeGKOMu/GdQj1hjHgSiIdNRPjRImZGKWcolI8zizkOgxO7XzRmusQ6hWdzibGihIzMUqPUk33hRUAoLDywOF0e67DqFc3n2RzHQIh9YISMzFK0Sb8JikAeGDdk+sQ6l1MWj7XIRBSLygxE6Nk6kfM+wrach1CvcsrViA1t5jrMAipc5SYiVEy5SNmlcweO5NduA6jQcSl01EzMT6UmIlRiksv4DoEziTa94SSmcaq/SyriOsQCKlzprH2EpOiUKqQVVDCdRicOVTSnusQGszTbNO+854YJ0rMxOhkFchN9olfTGyOzc89uQ6jwWTkm+4OGDFelJiJ0ck04SdCJTv0QIFCwHUYDSa/hN4yRYwPJWZidHKLSrkOgTMnVB24DqFBFZQouA6BkDpHiZkYndxi09xYq3hCbEz24TqMBpVPiZkYIUrMxOiUKEzz9OYtURskF4u5DqNB0REzMUaUmInREfB4XIfAiW2ZxvmKx8oUyk1zJ4wYN0rMxOgIBaa5WJ/LsuE6hAYn4JvmThgxbqa5BSNGTUgba5NhJjadO9CJ6aDETIwOHUWZDpmIEjMxPpSYidERCigxmwo6YibGiBIzMTqNZKZ1Z7Ipk1FiJkaIEjMxOi7WUq5DIA3EQiLkOgRC6hwlZmJ0bMzFkIpo0TYFHjZmXIdASJ2jrRcxSi7WMq5DIA2gsR0lZmJ8KDETo+RsRaezTYGnnTnXIRBS5ygxE6PkZkNHzKbA05aOmInxocRMjFJzFyuuQyD1zFIqhI053YFPjA8lZmKU2rhbcx0CqWe+jhZch0BIvaDETIxSgKs1PQHMyLX1ML1ngxPTQImZGCWZWEBHVEaubeNGXIdASL2gxEyMVhv3RlyHQOpRB086YibGiRIzMVqBXrThNlaNbc3g2ojuvCfGiRIzMVq9/By4DoHUky5N7LgOgZB6Q4mZGC1HKylaULcpo9SvhRPXIRBSbygxE6NGG3DjYykVoiedDSFGjBIzMWoDWzpzHQKpY/2aO0EspE0XMV60dBOj1tzFCt729DxlYzK4tQvXIRBSrygxE6P3Tgd3rkMgdcRSKkQPXzqNTYwbJWZi9EZ38IBYQIu6MRjS2pVOYxOjR0s4MXp2FhKEtKJrza87Hg/4qLsX12EQUu8oMROT8P4bnlyHQF5RT18H+Dhach0GIfWOEjMxCR29bOHvTBv119lH3b25DoGQBkGJmZiM0KAmXIdAasnPyYL6LhOTQYmZmIzhbdzQzImOml9Hk3rQThUxHZSYicng83mY1d+P6zBIDfk7W2Jke+ryRkwHJWZiUgYEOKOtRyOuwyA1MHdQc/D5PK7DIKTBUGImJmfOgGZch0CqqaefA4Lo2jIxMUKuAyCkoXX1sUdwcyecfJDaYG2qSgrx4vxOFMZcgqowB2LHJrAJngKJS9mp9YzfV6Hg7imtcaTe7eE0akmFdRY/vYvcyAjIU+OgzM+Cw1vzYObXRatMTuSvyL0SAQCw7vw2rDqN0HxX8jwaWcfXw3n8SvD4grqa1Doj4PMwb1BzrsMgpMFRYiYm6Zu3WiIyIRN5xYoGaS/z6FqUpj+G/ZDZEFjYouDeGaT+8k+4TloPoaU9AEDqHQj7QTP+HkkoqrROJi+GyLEJLFr3Q/r+f+l8L09LQM6FXXAYuQBgDOkRSyD1bg+xgxeYSonMY+tgN/BTg0zKADCmoweaURc3YoLoVDYxSU5W0gY7GlOVlqAw+iIa9Z4IqUdLiGxc0aj7exDZuCDv5h+acjyhCAILm7//pBaV1itr2gE2PcfBzK+r3u9LM59B5OAFmWcbyLzaQuTghdLMZwCA3MgISD0CNEfshsbVWoovQ/y5DoMQTlBiJiZrTKfG6NrUrv4bUikBpgJPoH0EzBNKUPLsnuZz8ZM7eLr2PSRtCUXmsXVQFuW+UrNiBy8ospOgyE2DIicNiqwkiO09UZqdjPw7J9Gox7hXqr8+/fvt1rCUVn7GgBBjRaeyiUn794jWGLD6TxSVKuutDb7EDBJXf+T89QtEdh4QmDdCwYM/UfL8IYQ2Za8wlHm3h5lfVwgbOUGRnYwXf+5A2t6FcH7/21qfahbZe6BRz/FI3T0fANAoaAJE9h5I/WUebHpNRFHCDeRc/C/AF8I2eAqkHi3rbJpfxbg3POlhIsSkUWImJq2xnRkWDw/AnH2367UduyGzkfnHGiStnwDw+BA7N4V5854oSYkFAJi3CNKUFTt4QeTojeebJqH4yR3IvNrWul3LdoNg2W6Q5nP+nVPgiWWQuPkjactUuIxfCWVeJjJ++w/cQn8Ar4rr2vXN19EC8wbTDV/EtFFiJiZvVAcPXEvMwp5rz+qtDZGNC5zH/hsqeTFU8kIILWyRfnA5RI30v/VK1MgZfJkVFC+SAbStkxiUhTnIufhfOI1djpLnjyCydYXI1g0iWzcwpQKl2UkQO3jVSVu1YS4WIHxse0hFhnkzGiENha4xEwJgyfCWaOVmXe/t8MVSCC1soSzOR1HCDch839BbTpGbAVVRHgTmtnXWdvbp72HZ8U0IrewBpgRTljt9r1ICKlWdtVVTfB6wZkw7ugubENARMyEAAKlIgM3jAzEs/CLS80rqvP6i+OsAAKGtGxTZycg+uxUiW3dYtAqGSl6EnIs/w8yvKwQWNijNTsaLs9sgtHGBzLu9po7UX76CzLcLrAKHAgBU8iIospM13ytyUiFPjQdfZgGhlaN2+wk3UZqVBLvBMwEAYmc/KLKeoSjuGhR5GQBfAKGtW51Pd3XNGeiP4BZOnLVPiCGhxEzI/7hYy7BpXCDe2xJZ5zeDqUoK8eLPH6HIy4BAagmzZl3RqOd48ARCMJUS8rQE5N89BVVxAQQWtpB5t0OjHu9rXfMtzU6BpNyd2vKUGKT+/JXmc/bp7wEA5i37wv5/CRgo666VdXIjHIb9H3i8spNkQit72ASHIuOP1eAJRLAbPBN8kaROp7m6Rga6Y2pQU07aJsQQ8RhjjOsgCDEk52PS8dGP1yBXcHdq11R08rbFzo86Qyykq2qEqNHaQMhLevg6YMN77SES0IsT6lNHLxts+6AjJWVCXkJrBCF69G3uhNWj20FAbzWqF528bbF9YieYS+hqGiEvo8RMSAUGt3ZB2MjWlJzr2BtNbLF9YkdKyoRUgK4xE1KFMw/T8Ol/b6BAXn9PBzMV3Xzs8P34jpCJqa8yIRWhxExINdx7noMPt19Fam7dd6UyFe91boxFwwIgEtCJOkIqQ4mZkGpKzinCxG1X8TAlj+tQXitCPg8Lh7bAuC5eXIdCyGuBEjMhNZBfosDsPVE4di+V61BeCzZmIqx7rz26NrXnOhRCXhuUmAmphZ+vPMGSQ/fr9a1Ur7s27tZY+257NLYz4zoUQl4rlJgJqaW49HzM+CUKd5JyuA7FoAj4PEzr7YPP+vhASNeTCakxSsyEvIJSpQrfHo/G9+cToFTRquTvbIn/jGyN1u6NuA6FkNcWJWZC6sC95zmYf+Aubjx5wXUonJCJBJga1BSf9G5Kd10T8oooMRNSRxhjiLiRhG+PRSMlt5jrcBoEnwe8E+iBWf394GQl5TocQowCJWZC6liRXIkt5+Px/fl45BYruA6n3vRu5oAvQ5rTO5QJqWOUmAmpJwUlCvx85Ql+uJCA5BzjOILm8YAgPwdM6dmEukARUk8oMRNSz0qVKhyMeo7Nf8bhUWo+1+HUirlYgJGB7pjQ1QtNHCy4DocQo0aJmZAGwhhDZEIWDkY9x5E7ycgpKuU6pCo1d7HCyEB3jOrgDkupiOtwCDEJlJgJ4YBcocK5R+k4GJWEkw9SUVyq4jokjTbu1hjY0gUhLZ3hZW/OdTiEmBxKzIRwrLhUiRuPs3EpPhOX4zNx62kO5MqGS9R25mJ09LLFG01s0S/AGW6NZA3WNiFEFyVmQgxMkVyJ64+zcevZCzxKzUN0Sh4SMwte+ahawOfBxVoKDxszNHO2RBsPa7R2b4SmdM2YEINCiZmQ1wBjDGl5JXicWYisghLkFiuQV6xAXnEp8ooVKJQrIBLwIRHyIRUJIBUJIBHyYSUVwd1WBg8bM7hYS+kRmYS8BigxE2Ig1q1bh7CwMKSkpKBNmzZYu3YtOnXqxHVYhJAGRrvPhBiA3bt3Y9asWVi4cCFu3LiBNm3aYMCAAUhLS+M6NEJIA6MjZkIMQOfOndGxY0eEh4cDAFQqFTw8PDB9+nR8+eWXHEdHCGlIdMRMCMfkcjmuX7+O4OBgzTA+n4/g4GBcunSJw8gIIVygxEwIxzIyMqBUKuHk5KQ13MnJCSkpKRxFRQjhCiVmQgghxIBQYiaEY/b29hAIBEhNTdUanpqaCmdnZ46iIoRwhRIzIRwTi8UIDAzEqVOnNMNUKhVOnTqFLl26cBgZIYQLQq4DIIQAs2bNwoQJE9ChQwd06tQJq1evRkFBASZOnMh1aISQBkaJmRADMHr0aKSnp2PBggVISUlB27ZtcfToUZ0bwgghxo/6MRNCCCEGhK4xE0IIIQaEEjMhhBBiQCgxE0IIIQaEEjMhhBBiQCgxE0IIIQaEEjMhhBBiQCgxE0IIIQaEEjMhhBBiQCgxE0IIIQaEEjMhhBBiQCgxE0IIIQaEEjMhhBBiQCgxE0IIIQaEEjMhhBBiQP4fIPvIbzyPmasAAAAASUVORK5CYII=",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Контрольная выборка: (1022, 12)\n",
|
||
"stroke\n",
|
||
"0 972\n",
|
||
"1 50\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Тестовая выборка: (1022, 12)\n",
|
||
"stroke\n",
|
||
"0 972\n",
|
||
"1 50\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Вывод распределения количества наблюдений по меткам (классам)\n",
|
||
"print(df.stroke.value_counts())\n",
|
||
"print()\n",
|
||
"\n",
|
||
"data = df.copy()\n",
|
||
"\n",
|
||
"df_train, df_val, df_test = split_stratified_into_train_val_test(\n",
|
||
" data, stratify_colname=\"stroke\", frac_train=0.60, frac_val=0.20, frac_test=0.20\n",
|
||
")\n",
|
||
"\n",
|
||
"print(\"Обучающая выборка: \", df_train.shape)\n",
|
||
"print(df_train.stroke.value_counts())\n",
|
||
"counts = df_train['stroke'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))# Установка размера графика\n",
|
||
"plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)# Построение круговой диаграммы\n",
|
||
"plt.title('Распределение классов stroke в обучающей выборке')# Добавление заголовка\n",
|
||
"plt.show()# Отображение графика\n",
|
||
"\n",
|
||
"print(\"Контрольная выборка: \", df_val.shape)\n",
|
||
"print(df_val.stroke.value_counts())\n",
|
||
"counts = df_val['stroke'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))\n",
|
||
"plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)\n",
|
||
"plt.title('Распределение классов stroke в контрольной выборке')\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"print(\"Тестовая выборка: \", df_test.shape)\n",
|
||
"print(df_test.stroke.value_counts())\n",
|
||
"counts = df_test['stroke'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))\n",
|
||
"plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)\n",
|
||
"plt.title('Распределение классов stroke в тестовой выборке')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"плохое распределение, надо сбалансировать"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"аугментация данных оверсемплингом(Этот метод увеличивает количество примеров меньшинства)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 34,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обучающая выборка после oversampling: (5831, 17)\n",
|
||
"stroke\n",
|
||
"0 2917\n",
|
||
"1 2914\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 600x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"categorical_features = ['gender', 'ever_married', 'work_type', 'Residence_type'] # Ваши категориальные признаки\n",
|
||
"numeric_features = ['age', 'hypertension', 'heart_disease', 'avg_glucose_level', 'bmi'] # Ваши числовые признаки\n",
|
||
"\n",
|
||
"# Создание пайплайна для обработки категориальных данных\n",
|
||
"preprocessor = ColumnTransformer(\n",
|
||
" transformers=[\n",
|
||
" ('cat', OneHotEncoder(), categorical_features), # OneHotEncoder для категориальных данных\n",
|
||
" ('num', 'passthrough', numeric_features) # Оставляем числовые колонки без изменений\n",
|
||
" ]\n",
|
||
")\n",
|
||
"\n",
|
||
"# Создание экземпляра ADASYN\n",
|
||
"ada = ADASYN()\n",
|
||
"\n",
|
||
"# Преобразование данных с помощью пайплайна\n",
|
||
"X = preprocessor.fit_transform(df_train.drop(columns=['stroke']))\n",
|
||
"y = df_train['stroke']\n",
|
||
"\n",
|
||
"# Применение ADASYN\n",
|
||
"X_resampled, y_resampled = ada.fit_resample(X, y)\n",
|
||
"\n",
|
||
"# Создание нового DataFrame\n",
|
||
"df_train_adasyn = pd.DataFrame(X_resampled)\n",
|
||
"# Восстанавливаем названия столбцов для DataFrame\n",
|
||
"ohe_columns = preprocessor.named_transformers_['cat'].get_feature_names_out(categorical_features)\n",
|
||
"new_column_names = list(ohe_columns) + numeric_features\n",
|
||
"df_train_adasyn.columns = new_column_names\n",
|
||
"\n",
|
||
"# Добавление целевой переменной\n",
|
||
"df_train_adasyn['stroke'] = y_resampled\n",
|
||
"\n",
|
||
"# Вывод информации о новой выборке\n",
|
||
"print(\"Обучающая выборка после oversampling: \", df_train_adasyn.shape)\n",
|
||
"print(df_train_adasyn['stroke'].value_counts())\n",
|
||
"\n",
|
||
"# Визуализация\n",
|
||
"counts = df_train_adasyn['stroke'].value_counts()\n",
|
||
"plt.figure(figsize=(6, 6))\n",
|
||
"plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)\n",
|
||
"plt.title('Распределение классов Outcome в тренировачной выборке после ADASYN')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"проведём также балансировку данных методом андерсемплинга. Этот метод помогает сбалансировать выборку, уменьшая количество экземпляров класса большинства, чтобы привести его в соответствие с классом меньшинства."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 37,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обучающая выборка после undersampling: (298, 12)\n",
|
||
"stroke\n",
|
||
"0 149\n",
|
||
"1 149\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 200x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"array(['Male', 'Female'], dtype=object)"
|
||
]
|
||
},
|
||
"execution_count": 37,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Применение RandomUnderSampler\n",
|
||
"X_resampled, y_resampled = rus.fit_resample(df_train.drop(columns=['stroke']), df_train['stroke'])\n",
|
||
"\n",
|
||
"# Создание нового DataFrame\n",
|
||
"df_train_undersampled = pd.DataFrame(X_resampled)\n",
|
||
"df_train_undersampled['stroke'] = y_resampled # Добавление целевой переменной\n",
|
||
"\n",
|
||
"# Вывод информации о новой выборке\n",
|
||
"print(\"Обучающая выборка после undersampling: \", df_train_undersampled.shape)\n",
|
||
"print(df_train_undersampled['stroke'].value_counts())\n",
|
||
"\n",
|
||
"# Визуализация распределения классов\n",
|
||
"counts = df_train_undersampled['stroke'].value_counts()\n",
|
||
"plt.figure(figsize=(2, 2))\n",
|
||
"plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)\n",
|
||
"plt.title('Распределение классов Outcome в тренировочной выборке после Undersampling')\n",
|
||
"plt.show()"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "laba",
|
||
"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": 2
|
||
}
|