ML_homework4_Bochkarev.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "1c52729a-e821-4c43-860c-a7075da23738",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import sklearn\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from imblearn.over_sampling import RandomOverSampler\n",
    "from imblearn.under_sampling import RandomUnderSampler\n",
    "from imblearn.combine import SMOTEENN\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "from yellowbrick.classifier import ConfusionMatrix\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6410fb43-9472-4c09-a816-c0822c5cc0d5",
   "metadata": {},
   "source": [
    "**Задача:** Классификация различных типов ритмов  сердца на основе набора данных, содержащих параметры, которые описывают работу сердечно-сосудистой системы. Цель — создать модель, которая сможет правильно классифицировать различные состояния ритма сердца.\n",
    "\r\n",
    "Набор данных:\r\n",
    "- Файл three_bases_meta.csv содержит метаданные с описанием признаков.\r\n",
    "- Файлы three_bases_X.npy и three_bases_Y.npy содержат признаки и целевые классы для задачи."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "2ff901fc-0484-4bf5-8288-0b74a0a83b8d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 12, 5000)\n",
      "(5000, 20)\n"
     ]
    }
   ],
   "source": [
    "# загрузка данных (возьмем только часть)\n",
    "\n",
    "X = np.load('a/three_bases_X.npy', mmap_mode='r') # массив признаков\n",
    "X = X[10000:15000]\n",
    "\n",
    "y = np.load('a/three_bases_Y.npy') # целевые классы\n",
    "y = y[10000:15000]\n",
    "\n",
    "meta = pd.read_csv('a/three_bases_meta.csv') # метаданные\n",
    "meta = meta[10000:15000]\n",
    "\n",
    "print(X.shape)\n",
    "print(Y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "39ec1c52-59e5-467a-bc04-5b7bdb5a0f97",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Record index</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Patient ID in source database</th>\n",
       "      <th>Source database name</th>\n",
       "      <th>Index in source database</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10000</th>\n",
       "      <td>10000</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3835.0</td>\n",
       "      <td>ptb_xl</td>\n",
       "      <td>10027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10001</th>\n",
       "      <td>10001</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1</td>\n",
       "      <td>15445.0</td>\n",
       "      <td>ptb_xl</td>\n",
       "      <td>10028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10002</th>\n",
       "      <td>10002</td>\n",
       "      <td>77.0</td>\n",
       "      <td>1</td>\n",
       "      <td>322.0</td>\n",
       "      <td>ptb_xl</td>\n",
       "      <td>10029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10003</th>\n",
       "      <td>10003</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14003.0</td>\n",
       "      <td>ptb_xl</td>\n",
       "      <td>10030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10004</th>\n",
       "      <td>10004</td>\n",
       "      <td>57.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1854.0</td>\n",
       "      <td>ptb_xl</td>\n",
       "      <td>10031</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Record index   Age  Gender Patient ID in source database  \\\n",
       "10000         10000  66.0       0                        3835.0   \n",
       "10001         10001  18.0       1                       15445.0   \n",
       "10002         10002  77.0       1                         322.0   \n",
       "10003         10003  31.0       1                       14003.0   \n",
       "10004         10004  57.0       0                        1854.0   \n",
       "\n",
       "      Source database name Index in source database  \n",
       "10000               ptb_xl                    10027  \n",
       "10001               ptb_xl                    10028  \n",
       "10002               ptb_xl                    10029  \n",
       "10003               ptb_xl                    10030  \n",
       "10004               ptb_xl                    10031  "
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "581a237a-80b6-429d-a0c0-d2281767842b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Record index</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Patient ID in source database</th>\n",
       "      <th>Source database name</th>\n",
       "      <th>Index in source database</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14995</th>\n",
       "      <td>14995</td>\n",
       "      <td>89.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10459.0</td>\n",
       "      <td>ptb_xl</td>\n",
       "      <td>15032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14996</th>\n",
       "      <td>14996</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0</td>\n",
       "      <td>18480.0</td>\n",
       "      <td>ptb_xl</td>\n",
       "      <td>15033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14997</th>\n",
       "      <td>14997</td>\n",
       "      <td>49.0</td>\n",
       "      <td>1</td>\n",
       "      <td>8324.0</td>\n",
       "      <td>ptb_xl</td>\n",
       "      <td>15034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14998</th>\n",
       "      <td>14998</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0</td>\n",
       "      <td>11566.0</td>\n",
       "      <td>ptb_xl</td>\n",
       "      <td>15035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14999</th>\n",
       "      <td>14999</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>12146.0</td>\n",
       "      <td>ptb_xl</td>\n",
       "      <td>15036</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Record index   Age  Gender Patient ID in source database  \\\n",
       "14995         14995  89.0       0                       10459.0   \n",
       "14996         14996  51.0       0                       18480.0   \n",
       "14997         14997  49.0       1                        8324.0   \n",
       "14998         14998  50.0       0                       11566.0   \n",
       "14999         14999  80.0       0                       12146.0   \n",
       "\n",
       "      Source database name Index in source database  \n",
       "14995               ptb_xl                    15032  \n",
       "14996               ptb_xl                    15033  \n",
       "14997               ptb_xl                    15034  \n",
       "14998               ptb_xl                    15035  \n",
       "14999               ptb_xl                    15036  "
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "846a27d3-cf62-43a3-8c21-503c10d4c693",
   "metadata": {},
   "source": [
    "Удаляем столбцы `Record index`, `Patient ID in source db`, `Index in source db`, потому что они уникальны для каждого пациента."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "bd8d21e8-c606-4c0f-81c2-4b448deddd1e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Age', 'Gender', 'Source database name'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "meta.drop(columns = ['Record index', 'Patient ID in source database', 'Index in source database'], inplace=True)\n",
    "print(meta.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "5c185ae6-79f1-42a8-a5a7-e9639d12c793",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Частота классов в y: {False: 94410, True: 5590}\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "unique, counts = np.unique(Y, return_counts=True)\n",
    "class_counts = dict(zip(unique, counts))\n",
    "print(\"Частота классов в y:\", class_counts)\n",
    "\n",
    "plt.plot(X[15][5])  # Сигнал первого отведения первой записи\n",
    "plt.title(\"Пример сигнала ЭКГ для одного отведения\")\n",
    "plt.xlabel(\"Время\")\n",
    "plt.ylabel(\"Амплитуда\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba8fc443-11de-4ea9-ac62-22c2bd005630",
   "metadata": {},
   "source": [
    "Характеристики категориальных значений столбца `Gender` (0 - женщины, 1 - мужчины)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "28473519-c265-437a-bcc0-8c8b09977c1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>2597</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Gender\n",
       "count     5000\n",
       "unique       2\n",
       "top          1\n",
       "freq      2597"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta['Gender'] = meta['Gender'].astype('category')\n",
    "meta['Gender'].dtype\n",
    "meta.describe(include=['category'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "328f4223-bac6-4d99-b62a-366cb7c66f1b",
   "metadata": {},
   "source": [
    "Проверка отсутствия пропущенных значений"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "ce2109e7-9dd6-4d9f-bd58-6f253a791033",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Пропущенные значения в meta:\n",
      " Age                     0\n",
      "Gender                  0\n",
      "Source database name    0\n",
      "dtype: int64\n",
      "Пропущенные значения в y: 0\n",
      "Пропущенные значения в X: 0\n"
     ]
    }
   ],
   "source": [
    "# Проверка пропусков в метаданных\n",
    "print(\"Пропущенные значения в meta:\\n\", meta.isnull().sum())\n",
    "# Проверка пропусков в X и y\n",
    "print(\"Пропущенные значения в y:\", np.isnan(y).sum())\n",
    "print(\"Пропущенные значения в X:\", np.isnan(X).sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "0900cde4-1bba-4d9e-af30-c00572961bb5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Средние значения по каналам: [-2.19674868 -1.14817708  1.06690704  1.66520496 -1.58966472 -0.02020776\n",
      " -0.22725108 -1.0250878  -1.52660148 -1.43901884 -1.65075912 -0.98638752]\n",
      "Дисперсия (разброс) по каналам: [ 66578.65804232  27771.93316959  40056.31475145  22465.6727534\n",
      "  31674.42053248  24579.66777269  52645.17875715 114099.6334912\n",
      " 110890.33911516  92385.88219426 124175.11467457  64405.37589614]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Медианы по каналам: [-25. -21.   5.  24. -13.  -6.  20.   0. -20. -35. -38. -31.]\n",
      "Интерквартильный размах по каналам: [ 88. 110.  92.  89.  75.  89.  90. 155. 168. 145. 124. 110.]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mean_values = X.mean(axis=(0, 2))\n",
    "variance_values = X.var(axis=(0, 2))\n",
    "\n",
    "print(\"Средние значения по каналам:\", mean_values)\n",
    "print(\"Дисперсия (разброс) по каналам:\", variance_values)\n",
    "\n",
    "# Визуализация среднего и разброса\n",
    "plt.figure(figsize=(12, 5))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.bar(range(1, 13), mean_values)\n",
    "plt.xlabel('Канал')\n",
    "plt.ylabel('Среднее значение')\n",
    "plt.title('Средние значения по каналам')\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.bar(range(1, 13), variance_values)\n",
    "plt.xlabel('Канал')\n",
    "plt.ylabel('Дисперсия')\n",
    "plt.title('Дисперсия по каналам')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "X_mean_per_channel = X.mean(axis=2)\n",
    "X_mean_df = pd.DataFrame(X_mean_per_channel, columns=[f\"Channel_{i+1}\" for i in range(X.shape[1])])\n",
    "correlation_matrix = X_mean_df.corr()\n",
    "\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(correlation_matrix, annot=True, fmt=\".2f\", cmap=\"coolwarm\", square=True, cbar_kws={\"shrink\": .8})\n",
    "plt.title(\"Корреляционная матрица между каналами\")\n",
    "plt.show()\n",
    "\n",
    "# Медиана и интерквартильный размах по каналам\n",
    "median_values = np.median(X, axis=(0, 2))\n",
    "iqr_values = np.percentile(X, 75, axis=(0, 2)) - np.percentile(X, 25, axis=(0, 2))\n",
    "\n",
    "print(\"Медианы по каналам:\", median_values)\n",
    "print(\"Интерквартильный размах по каналам:\", iqr_values)\n",
    "\n",
    "# Визуализация медианы и интерквартильного размаха\n",
    "plt.figure(figsize=(12, 5))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.bar(range(1, 13), median_values)\n",
    "plt.xlabel('Канал')\n",
    "plt.ylabel('Медиана')\n",
    "plt.title('Медианы по каналам')\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.bar(range(1, 13), iqr_values)\n",
    "plt.xlabel('Канал')\n",
    "plt.ylabel('Интерквартильный размах')\n",
    "plt.title('Интерквартильный размах по каналам')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c17240ab-7cce-4bc0-a942-81f12621d534",
   "metadata": {},
   "source": [
    "Нормализация данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "48c8a9b4-940c-47d9-98e7-ffdf6bac96d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Нормализация по каждому каналу\n",
    "X_normalized = X / np.max(np.abs(X), axis=1, keepdims=True)\n",
    "X_last_channel = X_normalized[:, 1, :]\n",
    "# Будем проверять, имеются ли подозрения хотя бы по какому-нибудь из диагнозов\n",
    "y_reshaped = np.any(y, axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cdd40e96-0506-438a-8d1b-d620c3599beb",
   "metadata": {},
   "source": [
    "Разделение на обучающую и тестовую выборки"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "3b28f48a-4039-4bed-a418-a2292568f1fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X_last_channel, y_reshaped, test_size=0.3, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0683531-e7fd-4d63-a9dc-ac2c1c15d234",
   "metadata": {},
   "source": [
    "Создание и обучение классификатора KNN с начальным значением k=3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "9cddf1aa-96a4-4f76-b7b2-04cb8f23a7ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Точность на тестовой выборке (KNN, k=3): 0.968\n"
     ]
    }
   ],
   "source": [
    "knn = KNeighborsClassifier(n_neighbors=3)\n",
    "knn.fit(X_train, y_train)\n",
    "\n",
    "y_pred = knn.predict(X_test)\n",
    "print(\"Точность на тестовой выборке (KNN, k=3):\", accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e925e44-2b1e-4185-b481-4740dd9ad74a",
   "metadata": {},
   "source": [
    "Подбор оптимального значения k-ближайших соседей"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "f5ac07fb-56dc-4d09-8a18-2999d83bc91d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Оптимальная ошибка 0.03028571428571447\n",
      "Оптимальное значение k: 5\n"
     ]
    }
   ],
   "source": [
    "# Перебор значений k и оценка точности\n",
    "nnb = [1, 3, 5, 10, 15, 20, 25, 35, 45, 55]\n",
    "knn = KNeighborsClassifier()\n",
    "grid = GridSearchCV(knn, param_grid = {'n_neighbors': nnb}, cv=10)\n",
    "grid.fit(X_train, y_train)\n",
    "\n",
    "best_cv_err = 1 - grid.best_score_\n",
    "best_n_neighbors = grid.best_estimator_.n_neighbors\n",
    "\n",
    "print(\"Оптимальная ошибка\", best_cv_err)\n",
    "print(\"Оптимальное значение k:\", best_n_neighbors)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8223db83-f5d1-4274-9f13-e8059e304472",
   "metadata": {},
   "source": [
    "Вычисление ошибки на обучающей и тестовой выборках"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "3eed8b9c-b716-4cc5-9b28-cc3326fe455d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Точность на обучающей выборке: 0.9708571428571429\n",
      "Точность на тестовой выборке: 0.97\n"
     ]
    }
   ],
   "source": [
    "knn_optimal = KNeighborsClassifier(n_neighbors=best_n_neighbors)\n",
    "knn_optimal.fit(X_train, y_train)\n",
    "\n",
    "# Ошибки на обучающей выборке\n",
    "y_train_pred = knn_optimal.predict(X_train)\n",
    "train_accuracy = accuracy_score(y_train, y_train_pred)\n",
    "print(\"Точность на обучающей выборке:\", train_accuracy)\n",
    "\n",
    "# Ошибки на тестовой выборке\n",
    "y_test_pred = knn_optimal.predict(X_test)\n",
    "test_accuracy = accuracy_score(y_test, y_test_pred)\n",
    "print(\"Точность на тестовой выборке:\", test_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "6a727f94-3da3-46c0-a6ce-616b31a7174f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.97"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = ConfusionMatrix(knn)\n",
    "cm.fit(X_train, y_train)\n",
    "cm.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42c021d7-593e-4691-bc18-5b0102f7e17c",
   "metadata": {},
   "source": [
    "Запустить другие классификаторы и выбрать параметры"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "9ce5acda-8229-4f03-a438-e11628e155a4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Точность логистической регрессии: 0.9426666666666667\n",
      "Точность SVM: 0.97\n",
      "Точность случайного леса: 0.97\n"
     ]
    }
   ],
   "source": [
    "# Логистическая регрессия\n",
    "logreg = LogisticRegression(max_iter=1000)\n",
    "logreg.fit(X_train, y_train)\n",
    "logreg_accuracy = accuracy_score(y_test, logreg.predict(X_test))\n",
    "print(\"Точность логистической регрессии:\", logreg_accuracy)\n",
    "\n",
    "# Метод опорных векторов (SVM)\n",
    "svm = SVC(C=1.0, kernel='rbf')\n",
    "svm.fit(X_train, y_train)\n",
    "svm_accuracy = accuracy_score(y_test, svm.predict(X_test))\n",
    "print(\"Точность SVM:\", svm_accuracy)\n",
    "\n",
    "# Случайный лес\n",
    "rf = RandomForestClassifier(n_estimators=100, random_state=42)\n",
    "rf.fit(X_train, y_train)\n",
    "rf_accuracy = accuracy_score(y_test, rf.predict(X_test))\n",
    "print(\"Точность случайного леса:\", rf_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b961b5c8-9db7-49c0-8366-fb52578cb32a",
   "metadata": {},
   "source": [
    "Борьба с несбалансированностью"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "a0f1b69f-8235-4060-aa10-2f069f1a241d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/IAAAIfCAYAAADTz+fQAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAABM80lEQVR4nO3deXxNd/7H8ffNJhEksSSW0pSgKUKKxFq1VVtLNYLOZKKqpYif0lpLLUNii33JKNqgptPaq9WOqVYZRVFbK0iGoFUkIhmySMT9/aG50ytBLonrtK/n45FHku/3e879nJsb8b7ne77HZDabzQIAAAAAAIbgYO8CAAAAAABA4RHkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgTjZuwAAwO9HeHi4vvvuO6s2Z2dnlS9fXq1bt9aQIUPk4eFhp+oAAAB+HwjyAIAi9cQTT2j8+PGW73NycvTjjz9q1qxZiouL04cffiiTyWTHCgEAAIyNIA8AKFKlSpVSgwYNrNoaN26s9PR0zZs3T4cOHcrXDwAAgMLjGnkAwANRt25dSdK5c+ckSceOHdOgQYPUpEkT1alTRy1bttTkyZOVlZVl2SYnJ0cLFy5Uu3btFBAQoI4dO2rt2rWW/vDwcNWuXbvAj59++kmSNGrUKIWHh2vNmjVq3bq1AgMD1atXLx09etSqvnPnzunNN99UUFCQ6tevr5dffjnfmM8//7zAxxo1apTVuC+//FIhISGqV6+emjdvrsmTJysjI8PSv2fPntvW/dt9Xbt2TdOnT1erVq1Ut25dde7cWZs3b7Z6rDZt2uR7/HXr1uV7Dtq0aWM15h//+Idq166t+fPnW9pSU1M1btw4NWvWTPXq1VOPHj20a9eufD/LOz3W3r171aJFCw0ePNgy5nbH+tuasrKyNHPmTD3zzDOqW7eunnzySb3yyiuKi4uzerydO3cqLCxMgYGBatGihcaNG6e0tDRL/5kzZzR48GAFBQWpcePG6tu3r+Lj4y39ubm5WrVqlTp37qyAgAA9/fTTio6O1rVr1yxjRo0aZVVngwYN9NJLL+nHH3+843Px2238/f3VtGlTvf3221b7Lsjhw4cLfH7Cw8Otxq1evVohISFq0KCBAgIC9MILL1i9Hm79WeT57Wvkp59+Uu3atbVu3TqrMbe+Rgp6Xf1WeHi4pb6tW7fmey2dOnVKDRo00MiRI+947ACAe8MZeQDAA3Hq1ClJUtWqVXXx4kWFhYWpQYMGmjp1qlxcXLRt2zYtX75c5cuXV//+/SVJI0eO1NatWzVgwADVr19fO3bs0Ntvvy1HR0d17dpVUv6p/Nu2bVNMTIzVY8fFxenkyZN688035eHhoXnz5ik8PFybN2+Wj4+PUlJS9NJLL8nNzU3vvPOO3NzctHz5coWFhWnNmjWqUaOGpJth89FHH9X06dMt+x40aJDVY23atEnDhg1T586dNWTIEP3888+aPXu2EhIS9P7771tdVjBu3DjVqVOnwH2ZzWZFRETo+++/1+DBg1WjRg3961//0tChQ5WdnW05/nuRlpamOXPmWLVdu3ZNL7/8spKTkzV06FB5e3tr7dq1eu2117R06VI1bdq0UPv+61//qvbt26tXr15W7aGhoerevbvl+0WLFikhIcHy/YgRI7R371699dZbqlatmhITEzV37lwNHTpUn3/+uUwmk7755hv1799fbdq00ezZs5WWlqYZM2bo9OnTWr58uS5evKju3burQoUKGj9+vEqVKqWFCxeqd+/e2rRpk8qWLatx48Zpw4YNeu211xQUFKSjR49q4cKFiouL09KlSy0/nwoVKmjBggW6ceOGzp8/r4ULF2rQoEHaunWrHBxufx4k7zivXbumI0eOaPbs2apQoYKGDh16222ysrJUsmRJvf/++5a2iRMnWo1ZtWqVJk+erEGDBmnkyJFKTU3VkiVLNHz4cDVo0ECVK1cu1M+nOLRt21Zdu3bV4sWL9fzzz8vX11ejRo1S2bJl9c4779itLgD4PSPIAwCKlNls1vXr1y3fp6Wl6bvvvlNMTIwaNGigunXraufOnfL399fcuXNVqlQpSVKzZs20a9cu7d27V/3791d8fLw+++wzjRkzxhIKmzZtqnPnzmnPnj2WIHvrVP6TJ0/mq+nKlSuKiYlR48aNJUkBAQFq166dYmNjNXLkSC1fvlypqan68MMPVaVKFUnSU089peeff15z587VvHnzJEkZGRny9va2ejwXFxerY4+OjlbLli0VHR1taff19VXv3r31zTff6Omnn7a0+/n53XZf3377rXbs2KHZs2fr+eeflyS1bNlSmZmZio6OVqdOneTkdG9/xufNm6fKlSvr8uXLlraNGzfq2LFj+vjjj1W/fn3LcxAeHq7o6GirmRC3s2vXLiUmJmrFihXy8vKy6qtYsaLVsZYtW9bydXZ2ttLT0/XOO+9YjjUoKEjp6emaOnWqkpKS5O3trXnz5unxxx/XwoULLdu6urpq1qxZunDhgmJjY5WVlaX3339fFSpUkCT5+/urZ8+eOnjwoKpVq6Y1a9ZoyJAhGjBggCSpefPm8vb21ogRI7R9+3a1atVK0s2fxW/rTUlJ0aRJk3Tp0iXLvgvy2+MMDg7W5s2b9cMPP9zxecvMzJSnp6fV4+X9XuQ5e/as+vTpo4iICEvbI488opCQEH3//fd2DfKSNGbMGO3atUsTJkxQy5YtdeTIEa1YsSLfcQAAigZBHgBQpPbu3Wt1llmSHBwc1LRpU02aNEkmk0ktWrRQixYtlJOTo1OnTikxMVHHjx9XSkqKPD09JUn79u2TJLVv395qX7eeSS6MypUrW0K8JHl7eyswMFD79++XdDOA+vv7y8fHx/ImhIODg5566il98sknlu1++eUXqwB6q5MnT+r8+fN6/fXXrd7MaNy4sUqVKqWdO3daBfk72bVrl0wmk1q1amW1rzZt2uiTTz5RfHy8/P39JeV/8+TGjRu33e+JEyf00UcfaeXKlXrppZesHq9ChQqqU6eO1b5at26t6dOnKy0t7Y53HEhNTdX8+fP1/PPP5wvxd+Pi4qJly5ZJki5evKjTp0/r5MmT+vrrryXdvMQiKytLP/74o/7v//7PatsOHTqoQ4cOkqT9+/erQYMGVkHb29vbsp+///3vkqTOnTtb7aNjx44aPXq09uzZYwnyknT9+nWZzWYlJydr8+bNqlKlyh1//tLN5/769evKzc3Vvn379J///EevvPLKHbc5d+7cXfebN839ypUrSkxMVGJiouWyh5ycnAJrKEydecxmc74xea8rBweHO85CkKQyZcpo8uTJ6tu3r/bt26d+/fqpUaNGd9wGAHDvCPIAgCJVp04dy7Rgk8mkEiVKqFKlSlZn5m7cuKFZs2Zp1apVysjIUKVKlRQQEKASJUpYxqSmpkqSypUrd981eXt752srV66c5Zrn1NRUnT59Ot8bEHkyMzPl5uams2fP6tFHH73t4+TVPHHixHxTo6WbIbWwUlNTZTab9eSTTxbYf/HiRUuQ37BhgzZs2FCo/U6ePFnPP/+8AgMD8z1eUlLSbZ+DpKSkOwb5bt26ycfHRwsWLChUHbfasWOHoqKidPLkSbm7u6t27dpyd3eXdDNQpqWlyWw23/H1kJqaqkceeeS2/XnX0t96Rt3JyUleXl66cuWKpe3nn3/O91yMGTNGjo6OdzyORYsWadGiRZbvS5UqpZ49e95xm7u9rqSb1/6PGzdOu3fvlpOTk6pXr67atWtLyh/Cb33zqyBjxozRmDFjrNryZqPkyXtdmUwmlStXTg0bNtQbb7xhudTkVk2bNlWlSpX0yy+/5FuTAQBQtAjyAIAi5e7urnr16t1xzLvvvqvY2FhNmDBBHTp0UOnSpSXdvL44T5kyZSTdnNJcsWJFS/vJkyeVkpJi09m+vID9W8nJyZZQWLp0aQUFBWnEiBEFbp835X3//v2Ws78Fyat5xIgRCgoKytd/axC+0234SpcurZIlS2rFihUF9v82+LVu3dpqyvW2bdsKDNSff/65jhw5YjXt/7eP5+vrW2CfpDsGZOnm9f7Lly/Xm2++qWXLluULvHc61jNnzigiIkJt27bV4sWLVa1aNUk3rwvfsWOHpJuB2GQyKSUlxWrb7Oxs7dq1SwEBASpdunS+funmbINHHnnE8vwnJSVZHU9OTo4uX75sNZOgQoUKlrUWMjMztXbtWk2dOlWBgYF3fH336NFDPXr0kNls1oULFxQdHa0BAwZo/fr1t30O9u/fr3bt2t12nzdu3FC/fv3k7Oysjz/+WE888YScnJyUkJBgNWMkT0xMjNWbFXmXEfzWoEGDrGaHLFy4UCdOnLAak/e6MpvNSkpK0qJFi/Tyyy/ryy+/LLDOhQsXKjk5WTVq1NDYsWO1du1aq8tFAABFh1XrAQAP3P79++Xn56fQ0FBLiL9w4YJOnDhhmRbesGFDScoXGmbPnq1JkybZ9HhnzpyxWljtwoULOnjwoGUBt6CgIJ06dUqPPfaY6tWrZ/n45JNPtHr1ajk6Ourw4cNKSUlRcHDwbR+nevXqKleunH766Ser/VSsWFEzZ860rIKfd4x3mq4cFBSkjIwMmc1mq33Fx8dr4cKFVtOiPT09rcbcemZVuhl4Z8yYoYEDBxY4QyEoKEi//PKLypUrZ7WvXbt2aenSpXc9E92qVSvNnz9f+/bts0yTL+yx/vDDD7p27Zpef/11S4iXZAnxZrNZ7u7u8vf319atW622/fe//61+/frp/PnzatSokQ4ePKhLly5Z+lNSUtS3b19t3brV8ubKpk2brPbx2WefKTc31/Kak26+eZP3HAQFBWncuHHKzc3Vnj177vg8eHt7q169egoICFD79u0VHh6uuLg4q/UIfuvixYs6cuSImjVrdtt9Xr58WadOnVJoaKgCAgIsayNs375dUv5LKWrVqmX1MywoTFepUsVqTN4lLb+V97oKCAhQ27ZtNWDAACUlJRW4DsWRI0e0ZMkS9e/fXzNnztTJkyetVrEHABQtzsgDAB64gIAALVq0SO+++64aNGig06dPa/HixcrOzlZmZqYk6fHHH9ezzz6r6OhoZWVlqU6dOvr3v/+tf/3rXzZfJ282mzVw4EANGTJEjo6OWrBggcqUKWO5fVbv3r21ceNG9e7dW3369JGXl5c2b96sjz/+WKNHj9aZM2c0f/58+fv76+zZszp79qxl39nZ2UpJSdGZM2dUrVo1DR06VOPGjZOjo6Nat26t//73v1q0aJEuXLigOnXq6OjRo5aAmncGvyCtWrVS48aNNXDgQA0cOFA1atTQ4cOHNX/+fLVo0eKu11TfKikpSb6+vnr55ZcL7A8JCdEHH3ygV155Rf3791elSpX07bffasmSJfrLX/4iZ2fnuz5G7dq11bt3by1atEgdO3ZUbm6ujhw5ctdjrVOnjpycnDRjxgz16dNH2dnZWrdunbZt2yZJllv3DR48WAMGDNCQIUMUEhKilJQUzZw5U61bt5a/v788PT21YcMGvfrqq+rfv79KlCihxYsXy9vbW127dpWnp6defPFFLViwQFlZWQoODlZcXJwWLFig4OBgtWzZ0lJTdna2Dh48aHn8vDeUatasecfn4Pz58zp48KBu3Lih5ORkrVmzRuXLly9w3YDz589r3rx5Kl++vHJyciyPJ0lXr16VJCUkJMjPz09VqlTRqlWrVLFiRZUpU0b//ve/tXz5ckmy/M4UtZSUFB08eFDXr1/XL7/8ovfff1/ly5eXr6+v1bjs7GyNGjVKjz32mPr16ycXFxf16tVLy5YtU7t27SyLJwIAig5BHgDwwL3++uu6fPmyVqxYoYULF6pSpUp64YUXZDKZtHjxYsvCajNmzNCCBQu0cuVKXb58WY899pjmzJmjZ5991qbHq1y5sl555RVFRUUpMzNTzZo1U0xMjOUspI+Pj/7xj39o5syZmjBhgq5duyZfX19FRkYqNDRUo0aNspz9LOh652+++UZly5bV1KlT1b17d7m7u2vp0qX66KOPVLJkST355JOKjo5W1apV1a5dO124cEEvvPDCHUOhg4OD3n33Xc2dO1eLFy/WpUuX5OPjo969e1tNo7fF22+/fdupziVLltSqVas0c+ZMzZgxQ1euXFGVKlX01ltvqU+fPoV+jIiICG3evFmTJ0+Wp6enNm7cqICAAMtq9AV59NFHNXPmTC1YsEADBgyQh4eHGjRooJUrVyo8PFz79u1T7dq11bp1ay1evFjz589XRESEvLy89Nxzz+mNN96QJFWqVEl///vfNWPGDI0ePVouLi4KCgrSjBkzLD/ryMhIPfroo1q7dq2WLVsmb29vhYeHKyIiwmrWQFJSkuVn7ezsrMqVK2vEiBFWi+EVZM2aNVqzZo2km5eZPPHEE5o4cWKB0+pXr15tuRvA7a6jnzhxolauXKlFixYpMjJSo0aNkouLi/z8/BQTE6OoqCjt27cv3z3ni8I333yjb775RpLk5eWlunXrKioqSiVLlrQaN2fOHJ08eVIffvih5fU1ePBgbdmyRSNHjtTGjRut1r8AANw/k7mgZUoBAPidGDVqlL777jt99dVX97UPSZo6deo99QMFmT9/vr777jutXLnynvoBAH9cXCMPAAAAAICBMLUeAIC7qFq16n31AwWpWLHibW/lVph+AMAfF1PrAQAAAAAwEKbWAwAAAABgIAR5AAAAAAAMhCAPAAAAAICBsNhdAQ4cOCCz2SxnZ2d7lwIAAAAA+APIycmRyWRSYGDgXcdyRr4AZrNZrAEIPFzMZrOys7P53QQAoAjwdxV4+NiSQzkjX4C8M/H16tWzcyUA8mRkZCguLk5+fn4qWbKkvcsBAMDQ+LsKPHyOHDlS6LGckQcAAAAAwEAI8gAAAAAAGIhdg/zmzZv1xBNPKDAw0PIxfPhwSdKhQ4fUvXt3BQYGqk2bNlq9erXVtuvXr1f79u3VoEEDhYSE6MCBA5a+3NxcTZs2Tc2aNVNgYKAGDBigixcvPtBjAwAAAACgONg1yB85ckQvvPCCDhw4YPmYMWOG0tLS1K9fP3Xt2lV79+5VZGSkpkyZosOHD0uS9uzZo0mTJmnq1Knau3evunTpogEDBigzM1OSFBMTo507d2rt2rXasWOHXF1dNXbsWHseKgAAAAAARcLuQb5u3br52rds2SJPT0+FhYXJyclJTZs2VefOnbVq1SpJ0urVq9WxY0c1bNhQzs7O6t27t7y8vLR582ZLf9++fVWpUiWVKlVKY8aM0fbt23X27NkHenwAAAAAABQ1u61af+PGDf34449yc3PT0qVLlZubq1atWmnYsGGKj49XrVq1rMb7+flpzZo1kqSEhAR169YtX/+xY8d05coVnT9/3mr78uXLy8PDQ8ePH1fVqlULVZ/ZbFZGRsZ9HiWAopI34ybvMwAAuHf8XQUePmazWSaTqVBj7RbkU1JS9MQTT6hDhw6aN2+eLl++rJEjR2r48OGqUKGC3NzcrMa7urpagnV6evpt+9PT0yUp3200XF1dLX2FkZOTo7i4uHs5NADFKDEx0d4lAADwu8HfVeDh4uLiUqhxdgvy5cuXt0yVlyQ3NzcNHz5cPXr0UEhIiLKysqzGZ2Vlyd3d3TK2oH4vLy9LwL/13cXfbl8Yzs7O8vPzs+mYABSfzMxMJSYmytfXN98beQAAwDb8XQUePgkJCYUea7cgf+zYMX366ad66623LNMHsrOz5eDgoICAAC1fvtxqfEJCgmrWrClJqlmzpuLj4/P1P/XUU/Lw8JCPj48SEhIs0+uTkpKUmpqab7r+nZhMpnxn9QHYn5ubG7+bAAAUEf6uAg+Pwk6rl+y42J2np6dWrVqlpUuX6vr16zp37pxmzJihF198UR06dFBycrJiY2OVk5Oj3bt3a9OmTZbr4kNDQ7Vp0ybt3r1bOTk5io2N1aVLl9S+fXtJUkhIiGJiYnT27FldvXpVUVFRCgoKUrVq1ex1uAAAAAAAFAm7nZGvWLGiFi9erFmzZikmJkYlSpRQx44dNXz4cJUoUULvvfeeIiMjNW/ePJUtW1Zjx45VkyZNJElNmzbV+PHjNWHCBF24cEF+fn5asmSJPD09JUkRERG6fv26wsLClJ6eruDgYM2ZM8dehwoAAAAAQJExmc1ms72LeNgcOXJEklSvXj07VwIgT0ZGhuLi4uTv788UQAAA7hN/V4GHjy051K73kQcAAAAAALYhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABiIk70LAAAAeFg4vrXS3iUAD9hRexcAPBC5M8PtXUKR4ow8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwkIciyOfm5io8PFyjRo2ytB06dEjdu3dXYGCg2rRpo9WrV1tts379erVv314NGjRQSEiIDhw4YLW/adOmqVmzZgoMDNSAAQN08eLFB3Y8AAAAAAAUl4ciyC9YsED79u2zfJ+WlqZ+/fqpa9eu2rt3ryIjIzVlyhQdPnxYkrRnzx5NmjRJU6dO1d69e9WlSxcNGDBAmZmZkqSYmBjt3LlTa9eu1Y4dO+Tq6qqxY8fa5dgAAAAAAChKdg/yu3bt0pYtW/TMM89Y2rZs2SJPT0+FhYXJyclJTZs2VefOnbVq1SpJ0urVq9WxY0c1bNhQzs7O6t27t7y8vLR582ZLf9++fVWpUiWVKlVKY8aM0fbt23X27Fm7HCMAAAAAAEXFyZ4PfunSJY0ZM0aLFi1SbGyspT0+Pl61atWyGuvn56c1a9ZIkhISEtStW7d8/ceOHdOVK1d0/vx5q+3Lly8vDw8PHT9+XFWrVi1UbWazWRkZGfd4ZACKWt6Mm7zPAAAAQGEZIduZzWaZTKZCjbVbkL9x44aGDx+uV155RY8//rhVX3p6utzc3KzaXF1dLU/+nfrT09MlSSVLlszXn9dXGDk5OYqLiyv0eAAPRmJior1LAAAAgMEYJdu5uLgUapzdgvzixYvl4uKi8PDwfH1ubm66cuWKVVtWVpbc3d0t/VlZWfn6vby8LAH/1rN2v92+MJydneXn51fo8QCKV2ZmphITE+Xr65vvjTwAKDpH7V0AAKAY+Pv727uEu0pISCj0WLsF+Y0bN+rixYtq1KiRJFmC+ZdffqkRI0Zo586dVuMTEhJUs2ZNSVLNmjUVHx+fr/+pp56Sh4eHfHx8lJCQYJlen5SUpNTU1HzT9e/EZDLlO6sPwP7c3Nz43QQAAIBNjPD/x8JOq5fsuNjdF198oe+//1779u3Tvn371KlTJ3Xq1En79u1T+/btlZycrNjYWOXk5Gj37t3atGmT5br40NBQbdq0Sbt371ZOTo5iY2N16dIltW/fXpIUEhKimJgYnT17VlevXlVUVJSCgoJUrVo1ex0uAAAAAABFwq6L3d2Ol5eX3nvvPUVGRmrevHkqW7asxo4dqyZNmkiSmjZtqvHjx2vChAm6cOGC/Pz8tGTJEnl6ekqSIiIidP36dYWFhSk9PV3BwcGaM2eO/Q4IAAAAAIAiYjKbzWZ7F/GwOXLkiCSpXr16dq4EQJ6MjAzFxcXJ39/fEFOjABiT41sr7V0CAKAY5M7Mvzbbw8aWHGr3+8gDAAAAAIDCI8gDAAAAAGAgBHkAAAAAAAyEIA8AAAAAgIEQ5AEAAAAAMBCCPAAAAAAABkKQBwAAAADAQAjyAAAAAAAYCEEeAAAAAAADIcgDAAAAAGAgBHkAAAAAAAyEIA8AAAAAgIEQ5AEAAAAAMBCCPAAAAAAABkKQBwAAAADAQAjyAAAAAAAYCEEeAAAAAAADIcgDAAAAAGAgBHkAAAAAAAyEIA8AAAAAgIEQ5AEAAAAAMBCCPAAAAAAABkKQBwAAAADAQAjyAAAAAAAYCEEeAAAAAAADIcgDAAAAAGAgBHkAAAAAAAyEIA8AAAAAgIEQ5AEAAAAAMBCCPAAAAAAABkKQBwAAAADAQAjyAAAAAAAYCEEeAAAAAAADIcgDAAAAAGAgBHkAAAAAAAyEIA8AAAAAgIEQ5AEAAAAAMBCCPAAAAAAABkKQBwAAAADAQAjyAAAAAAAYCEEeAAAAAAADIcgDAAAAAGAgBHkAAAAAAAyEIA8AAAAAgIEQ5AEAAAAAMBCCPAAAAAAABkKQBwAAAADAQAjyAAAAAAAYCEEeAAAAAAADIcgDAAAAAGAgNgf57OxsrV69Wps3b1ZWVpYmTpyoTp06afDgwbpw4UJx1AgAAAAAAH7lZOsG77zzjjZv3ixJ8vHxUW5urtq3b6/du3drwoQJiomJKfIiAQAAAADATTYH+a+//loLFixQ5cqV1blzZ61YsUJBQUE6fPiwXnvtteKoEQAAAAAA/MrmIH/lyhU9/vjj8vHxkaurq3x8fCRJFStW1JUrV4q8QAAAAAAA8D82XyNvNpvl7OwsSTKZTHJwuLmLvM8AAAAAAKD42HxGXpIiIiLk7Oysa9euadiwYSpRooRycnKKujYAAAAAAHALm4P8iy++aPm6SpUqVn2+vr73XRAAAAAAALg9m4P8lClTiqMOAAAAAABQCPc0tf78+fNatWqVjh8/LicnJ9WsWVM9e/ZU5cqVi7o+AAAAAADwGzavUHfixAl16dJFGzdulIuLi8xms9atW6cuXbooPj6+OGoEAAAAAAC/svmM/PTp09WkSRNFR0fLxcVFknTt2jUNHz5c0dHRWrx4cZEXCQAAAAAAbrL5jPz+/fs1aNAgS4iXpBIlSmjgwIHav39/kRYHAAAAAACs2Rzk3d3dlZ2dna+9oDYAAAAAAFC0bA7yTZo00fTp05WammppS0lJUXR0tJo0aVKUtQEAAAAAgFvYfI38sGHD9NJLL6l169by9fWVyWTSqVOnVKZMGX3wwQfFUSMAAAAAAPiVzUG+YsWK+uyzz7Rx40bFx8fLbDYrNDRUnTt3VunSpYujRgAAAAAA8Kt7uo+8u7u7unbtqlOnTsnR0VGPPfaYSpQoUdS1AQAAAACAW9gc5HNychQVFaW1a9cqJydHkuTq6qpevXpp6NChRV4gAAAAAAD4H5uD/KxZs/TFF1/o7bffVoMGDWQ2m/X9999r/vz5cnNzU//+/YujTgAAAAAAoHsI8hs3blRUVJRat25tafP395e3t7ciIyMJ8gAAAAAAFCObbz+XnZ2tatWq5WuvUaOG0tLSiqQoAAAAAABQMJuDfLdu3TR37lxlZ2db2sxms2JjY9WlS5ciLQ4AAAAAAFizeWp9cnKyvv76a7Vp00YBAQFycnLS0aNH9fPPP6t+/frq1auXZeyKFSuKtFgAAAAAAP7obA7yLi4u6tSpk1Vb48aN1bhx4yIrCgAAAAAAFMzmID9lypTiqAMAAAAAABSCzdfIS9LFixe1YMECvfXWW7p06ZI+//xz/ec//ynq2gAAAAAAwC1sDvKnT59W586dtX79ev3zn/9URkaGPv/8c4WGhur7778vjhoBAAAAAMCvbA7yU6dOVbt27fTll1/K2dlZkjR79my1a9dOs2bNKvICAQAAAADA/9gc5A8cOKBXXnlFJpPJ0ubo6Kj+/fsrLi6uSIsDAAAAAADWbA7yubm5unHjRr72q1evytHRsUiKAgAAAAAABbM5yLdo0UIxMTHKzc21tF2+fFkzZsxQkyZNirQ4AAAAAABgzeYgP2rUKB09elTNmjXTtWvXNGDAALVp00Y///yzRo4cadO+du3ape7du+vJJ59U8+bNNWnSJGVlZUmSDh06pO7duyswMFBt2rTR6tWrrbZdv3692rdvrwYNGigkJEQHDhyw9OXm5mratGlq1qyZAgMDNWDAAF28eNHWQwUAAAAA4KFjc5D38fHRhg0bNGzYML300ktq1KiRhg0bpk2bNqlKlSqF3k9KSopef/11/elPf9K+ffu0fv16fffdd3r33XeVlpamfv36qWvXrtq7d68iIyM1ZcoUHT58WJK0Z88eTZo0SVOnTtXevXvVpUsXDRgwQJmZmZKkmJgY7dy5U2vXrtWOHTvk6uqqsWPH2nqoAAAAAAA8dJzuZSM3Nzd17979vh64bNmy+vbbb1WqVCmZzWalpqbq2rVrKlu2rLZs2SJPT0+FhYVJkpo2barOnTtr1apVCggI0OrVq9WxY0c1bNhQktS7d2999NFH2rx5s7p166bVq1dr2LBhqlSpkiRpzJgxatGihc6ePauqVaveV90AAAAAANiTzUG+bdu2d+zfunVrofdVqlQpSVKrVq104cIFNWrUSCEhIZozZ45q1aplNdbPz09r1qyRJCUkJKhbt275+o8dO6YrV67o/PnzVtuXL19eHh4eOn78eKGDvNlsVkZGRqGPBUDxyptxk/cZAAAAKCwjZDuz2Wx1d7g7sTnI//zzz3J1dVXr1q1Vo0YNm4sryJYtW5SWlqZhw4Zp8ODB8vHxkZubm9UYV1dXy5Ofnp5+2/709HRJUsmSJfP15/UVRk5ODrfTAx5CiYmJ9i4BAAAABmOUbOfi4lKocTYH+eXLl+vTTz/Vli1bdPr0aXXq1EkdO3aUj4+PzUXmcXV1laurq4YPH67u3bsrPDxcV65csRqTlZUld3d3STen9uctivfbfi8vL0vAv/Ws3W+3LwxnZ2f5+fndy+EAKAaZmZlKTEyUr69vvjfyAKDoHLV3AQCAYuDv72/vEu4qISGh0GNtDvLBwcEKDg7WuHHj9M033+izzz7TggULFBAQoE6dOik0NLRQ+/n+++/19ttv65NPPrG865CdnW0J0Dt37rQan5CQoJo1a0qSatasqfj4+Hz9Tz31lDw8POTj46OEhATL9PqkpCSlpqbmm65/JyaTKd9ZfQD25+bmxu8mAAAAbGKE/z8Wdlq9dA+r1udxdnZWu3btNH78eA0dOlQ//PCD3nnnnUJvX7t2bWVlZWnmzJnKzs7Wzz//rGnTpik0NFQdOnRQcnKyYmNjlZOTo927d2vTpk2W6+JDQ0O1adMm7d69Wzk5OYqNjdWlS5fUvn17SVJISIhiYmJ09uxZXb16VVFRUQoKClK1atXu9XABAAAAAHgo3NOq9efPn9eXX36pLVu26MCBA2rQoIH+7//+T88880yh9+Hu7q6lS5cqKipKzZs3V+nSpdW5c2dFRETIxcVF7733niIjIzVv3jyVLVtWY8eOVZMmTSTdXMV+/PjxmjBhgi5cuCA/Pz8tWbJEnp6ekqSIiAhdv35dYWFhSk9PV3BwsObMmXMvhwoAAAAAwEPFZDabzbZsEBoaquPHjys4OFjPPPOM2rZtq3LlyhVXfXZx5MgRSVK9evXsXAmAPBkZGYqLi5O/v78hpkYBMCbHt1bauwQAQDHInRlu7xLuypYcavMZ+R9++EEeHh46efKkFi9erMWLF1v123L7OQAAAAAAYBubg/ygQYOKow4AAAAAAFAIBHkAAAAAAAzE5iC/YMGC2/aZTCZFRETcV0EAAAAAAOD27inIm0wmVapUKV8fQR4AAAAAgOJlc5BftmyZJk2aJE9PT40fP17+/v7FURcAAAAAACiAg60bNG/eXJ9++qnatGmj8PBwTZ48WVevXi2O2gAAAAAAwC1sDvKS5OTkpH79+umzzz5TcnKyOnTooPXr1xd1bQAAAAAA4BY2T63fsGGD1fdPP/20XFxc9Pbbb+vjjz/Whx9+WFS1AQAAAACAW9gc5EeNGnXbvoMHD95PLQAAAAAA4C5sDvLHjh0rjjoAAAAAAEAh2Bzk8yQmJurEiRNydHTUE088UeDt6AAAAAAAQNGyOchfvXpVb775prZv325pM5lMev755zVlyhS5uLgUaYEAAAAAAOB/bF61PjIyUqdOndKSJUu0b98+fffdd4qJidHBgwc1a9as4qgRAAAAAAD8yuYz8lu3btXChQvVuHFjS9vTTz+tEiVK6K233rrjYngAAAAAAOD+2HxG3tHRUaVLl87XXr58eeXk5BRJUQAAAAAAoGA2B/lXXnlFkyZNUnJysqXt6tWrmjNnjv7yl78UaXEAAAAAAMCazVPrt23bpiNHjqht27by9fWVk5OTEhMTlZ6erri4OH3yySeWsVu3bi3SYgEAAAAA+KOzOcg3a9ZMzZo1K45aAAAAAADAXdgc5AcNGlQcdQAAAAAAgEKwOcgvWLDgtn0mk0kRERH3VRAAAAAAALi9ewryFStWlIND/nXyCPIAAAAAABQvm4O8JK1du1blypUr6loAAAAAAMBd2Hz7OQAAAAAAYD/3FORNJlNR1wEAAAAAAArhnqbWT548WSVKlCiwb8qUKfdVEAAAAAAAuD2bg3zjxo2VlJRUHLUAAAAAAIC7sDnIr1y5sjjqAAAAAAAAhcBidwAAAAAAGAhBHgAAAAAAAyHIAwAAAABgIAR5AAAAAAAM5J5uPydJJ0+e1PHjx+Xs7Kzq1aurevXqRVkXAAAAAAAogM1BPjs7W8OGDdO//vUvmc1mSZLJZFLr1q01Z84cubi4FHmRAAAAAADgJpun1s+ePVuHDx/WokWLtG/fPu3Zs0fz58/X0aNHNX/+/OKoEQAAAAAA/MrmIP/pp59q4sSJat26tUqVKiUPDw+1a9dO48eP16ZNm4qjRgAAAAAA8Cubg/zVq1f16KOP5mt/7LHHlJKSUiRFAQAAAACAgtkc5GvVqqUvvvgiX/vmzZv12GOPFUlRAAAAAACgYDYvdjdgwAANHDhQx44d05NPPimTyaR9+/bpX//6l6Kjo4ujRgAAAAAA8Cubg/zTTz+tefPm6d1339W2bdtkNptVq1YtzZo1S88++2xx1AgAAAAAAH51T/eRb9eundq1a1fUtQAAAAAAgLuw+Rr5//73v5o9e7aWLFmiixcvql+/fgoMDFS3bt0UHx9fHDUCAAAAAIBf2RzkR4wYoY8//ljLly9Xp06dlJSUpCFDhqh06dL661//Whw1AgAAAACAX9k8tX7v3r1avHixqlatqlatWmnJkiWqX7++goODFRYWVhw1AgAAAACAX9kc5DMyMlStWjV5e3vLzc1NXl5ekqRy5copIyOjyAsEAAAAAAD/Y/PUerPZLCen/+V/k8lk9RkAAAAAABSfe1q1vlu3bnJwcFBWVpbCw8Pl6OioGzduFHVtAAAAAADgFjYH+UGDBhVHHQAAAAAAoBBsDvLBwcEKDAy0ml4PAAAAAAAeDJuvke/Vq5fS0tKKoxYAAAAAAHAX97TYHQvbAQAAAABgH/c0P37y5MkqUaJEgX1Tpky5r4IAAAAAAMDt3VOQP3funJydnYu6FgAAAAAAcBc2B3mTyaSFCxeqXLlyxVEPAAAAAAC4g3u6Rh4AAAAAANiHzUF+xYoV8vDwUEpKiqXtwIEDysnJKdLCAAAAAABAfjYHeR8fHz377LNasmSJpe31119X165d9csvvxRpcQAAAAAAwJrNQT4yMlJ+fn569dVXLW1ffPGFHnnkEVasBwAAAACgmNkc5L///nuNHDlS5cuXt7SVLVtWw4YN0+7du4u0OAAAAAAAYM3mIO/k5KTLly/na8/MzCySggAAAAAAwO3ZHORbtWqlyZMn6/Tp05a2s2fPKioqSi1btizS4gAAAAAAgDWb7yM/cuRI9enTR88++6zKlCkjSfrvf/+rOnXqaNSoUUVeIAAAAAAA+B+bg3zZsmW1du1a7dq1SydOnJCTk5P8/PzUtGlTmUym4qgRAAAAAAD8yuYgL0mOjo4KCgpS5cqVVa1aNZnNZkI8AAAAAAAPgM3XyJvNZkVHR6tx48bq1KmTfvnlF40cOVKjR49WTk5OcdQIAAAAAAB+ZXOQX7lypTZu3Kjx48fLxcVFktSuXTt99dVXmjt3bpEXCAAAAAAA/sfmIP/RRx9p3LhxCgkJsUynf/755xUZGanPPvusyAsEAAAAAAD/Y3OQ/+mnn+Tv75+vvXbt2kpOTi6SogAAAAAAQMFsDvJVqlTR4cOH87V/8803qlq1apEUBQAAAAAACmbzqvWvvvqqJk6cqAsXLshsNmvXrl36xz/+oZUrV2r06NHFUSMAAAAAAPiVzUG+W7duun79umJiYpSVlaVx48apXLlyGjp0qP70pz8VR40AAAAAAOBX93Qf+Z49e6pnz55KSUmR2WxWuXLlirouAAAAAABQAJuD/IYNG+7Y37Vr13ssBQAAAAAA3I3NQX7UqFFW35tMJpnNZsvXBHkAAAAAAIqPzUH+2LFjlq8PHTqkoUOH6quvvirSogAAAAAAQMFsvv3cb9WtW1cXLlzQlStXiqoeAAAAAABwB/cV5DMyMnTjxg1lZmYWVT0AAAAAAOAObJ5av3fvXklSenq6PvzwQz3yyCPy9vYu8sIAAAAAAEB+Ngf58PBwy9fVq1fXzJkzi7QgAAAAAABwezYH+a1bt0qSPDw8VKpUqSIvCAAAAAAA3N49T62/HVtuP3fs2DFNmzZNP/74o5ydndW8eXONGjVKZcuW1aFDhzR58mQlJCTIy8tLAwYMUPfu3S3brl+/XosWLVJSUpKqV6+ud955R4GBgZKk3NxcRUdHa+PGjcrMzFSTJk00ceJELgEAAAAAABjePd1H3mQySZLl/vF5bLmPfFZWll577TX16NFDixcvVnp6ukaOHKm3335b06ZNU79+/TR48GD17NlTe/fuVUREhGrXrq2AgADt2bNHkyZN0pIlSxQQEKBVq1ZpwIAB+vrrr+Xm5qaYmBjt3LlTa9euVenSpfXOO+9o7Nixevfdd209XAAAAAAAHio2r1r/17/+VZ6ennruuee0fft2HTt2zPIRFxdX6P2cO3dOjz/+uCIiIuTi4iIvLy9LaN+yZYs8PT0VFhYmJycnNW3aVJ07d9aqVaskSatXr1bHjh3VsGFDOTs7q3fv3vLy8tLmzZst/X379lWlSpVUqlQpjRkzRtu3b9fZs2dtPVwAAAAAAB4qNp+R79Gjhzp06KDZs2erY8eOGjhwoHr16iVHR0eb9lO9enUtXbrUqu2f//yn6tSpo/j4eNWqVcuqz8/PT2vWrJEkJSQkqFu3bvn6jx07pitXruj8+fNW25cvX14eHh46fvy4qlatWqj6zGazMjIybDomAMUn7zaX3O4SAAAAtjJCtjObzZbZ73djc5CXbi50N2HCBHXv3l2TJk3S2rVrNW7cOAUFBd3L7mQ2mzVnzhx9/fXX+uCDD7RixQq5ublZjXF1dbU8+enp6bftT09PlySVLFkyX39eX2Hk5OTYNMMAwIORmJho7xIAAABgMEbJdi4uLoUad9+L3b355ptas2aNevfureeee87m29FdvXpVo0eP1o8//qgPPvhAtWvXlpubm65cuWI1LisrS+7u7pIkNzc3ZWVl5ev38vKyBPxbz9r9dvvCcHZ2lp+fn03HAqD4ZGZmKjExUb6+vvneyAOAonPU3gUAAIqBv7+/vUu4q4SEhEKPvaf7yJtMJstCd7/9evPmzTYF+TNnzqhv376qXLmy1qxZo7Jly0qSatWqpZ07d1qNTUhIUM2aNSVJNWvWVHx8fL7+p556Sh4eHvLx8VFCQoJlen1SUpJSU1PzTde/E5PJlO+sPgD7c3Nz43cTAAAANjHC/x8LO61euo/7yN+vtLQ0vfzyy2rSpIkiIyPl4PC/dffat2+vGTNmKDY2VmFhYdq/f782bdqkRYsWSZJCQ0MVERGh5557Tg0bNtSqVat06dIltW/fXpIUEhKimJgY1atXT15eXoqKilJQUJCqVatWJLUDAAAAAGAvNgf5KlWqFMkDr1u3TufOndPnn3+uL774wqrvwIEDeu+99xQZGal58+apbNmyGjt2rJo0aSJJatq0qcaPH68JEybowoUL8vPz05IlS+Tp6SlJioiI0PXr1xUWFqb09HQFBwdrzpw5RVI3AAAAAAD2ZDLfejP4u2jbtu0d+4vqjL09HTlyRJJUr149O1cCIE9GRobi4uLk7+9viKlRAIzJ8a2V9i4BAFAMcmeG27uEu7Ilh9p8Rv7nn3/WK6+8YtPCcQAAAAAAoGjc0+3nXnvtNZUrV66oawEAAAAAAHfhcPchAAAAAADgYWFzkDeZTDYtiw8AAAAAAIqOzVPrzWazmjdvbtXm4OCgkiVL6uWXX9agQYOKrDgAAAAAAGDN5iA/ZcqUfG1ms1nx8fFatmwZQR4AAAAAgGJkc5B/8cUXC2xPSUn5Xdx6DgAAAACAh9k9rVp//vx5rVq1SsePH5eTk5Nq1qypHj16aMuWLUVdHwAAAAAA+A2bF7s7ceKEunTpoo0bN8rFxUVms1nr1q3TCy+8oISEhOKoEQAAAAAA/MrmM/LTp09XkyZNFB0dLRcXF0nStWvXNHz4cM2YMUOLFy8u8iIBAAAAAMBNNp+R379/vwYNGmQJ8ZJUokQJDRw4UPv37y/S4gAAAAAAgDWbg7y7u7uys7PztRfUBgAAAAAAipbNQb5JkyaaPn26UlNTLW0pKSmKjo5WkyZNirI2AAAAAABwC5uvkR82bJheeukltW7dWr6+vjKZTDp16pTKlCmjDz74oDhqBAAAAAAAv7I5yFesWFGfffaZNm7cqPj4eJnNZoWGhqpz584qXbp0cdQIAAAAAAB+Vagg//rrrys6OtoS1N3d3fXnP//Zasz169e1YMECDRo0qOirBAAAAAAAkgp5jfy+ffv0ww8/3Lb/8OHDevHFF7Vw4cIiKwwAAAAAAORXqCDfq1cvDRw4UNOmTdPJkyct7Tk5OZo2bZr+9Kc/6cqVK/rb3/5WbIUCAAAAAIBCTq1/4403VLFiRcXGxio2NlZPP/20pk+frjfeeEPffvutevbsqeHDh6tUqVLFXS8AAAAAAH9ohV7srmfPnurZs6e+/vprzZgxQz169FBSUpLeffddPfXUU8VZIwAAAAAA+JXNq9a3bt1ajz/+uFq3bq3o6GhCPAAAAAAAD1Chgvzo0aPztTk4OOiLL77Qzp07rdqnTJlSNJUBAAAAAIB8ChXkf/rpp3xtDRs2VFpamtLS0oq8KAAAAAAAULBCBfmVK1cWdx0AAAAAAKAQCnX7OQAAAAAA8HAgyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAMhyAMAAAAAYCAEeQAAAAAADIQgDwAAAACAgRDkAQAAAAAwEII8AAAAAAAGQpAHAAAAAMBACPIAAAAAABgIQR4AAAAAAAN5KIJ8SkqK2rdvrz179ljaDh06pO7duyswMFBt2rTR6tWrrbZZv3692rdvrwYNGigkJEQHDhyw9OXm5mratGlq1qyZAgMDNWDAAF28ePGBHQ8AAAAAAMXF7kF+//796tmzp86cOWNpS0tLU79+/dS1a1ft3btXkZGRmjJlig4fPixJ2rNnjyZNmqSpU6dq79696tKliwYMGKDMzExJUkxMjHbu3Km1a9dqx44dcnV11dixY+1yfAAAAAAAFCW7Bvn169dr2LBhGjp0qFX7li1b5OnpqbCwMDk5Oalp06bq3LmzVq1aJUlavXq1OnbsqIYNG8rZ2Vm9e/eWl5eXNm/ebOnv27evKlWqpFKlSmnMmDHavn27zp49+8CPEQAAAACAouRkzwdv0aKFOnfuLCcnJ6swHx8fr1q1almN9fPz05o1ayRJCQkJ6tatW77+Y8eO6cqVKzp//rzV9uXLl5eHh4eOHz+uqlWrFqo2s9msjIyMez00AEUsb8ZN3mcAAACgsIyQ7cxms0wmU6HG2jXIV6hQocD29PR0ubm5WbW5urpanvw79aenp0uSSpYsma8/r68wcnJyFBcXV+jxAB6MxMREe5cAAAAAgzFKtnNxcSnUOLsG+dtxc3PTlStXrNqysrLk7u5u6c/KysrX7+XlZQn4t561++32heHs7Cw/P797KR9AMcjMzFRiYqJ8fX3zvZEHAEXnqL0LAAAUA39/f3uXcFcJCQmFHvtQBvlatWpp586dVm0JCQmqWbOmJKlmzZqKj4/P1//UU0/Jw8NDPj4+SkhIsEyvT0pKUmpqar7p+ndiMpnyndUHYH9ubm78bgIAAMAmRvj/Y2Gn1UsPwar1BWnfvr2Sk5MVGxurnJwc7d69W5s2bbJcFx8aGqpNmzZp9+7dysnJUWxsrC5duqT27dtLkkJCQhQTE6OzZ8/q6tWrioqKUlBQkKpVq2bPwwIAAAAA4L49lGfkvby89N577ykyMlLz5s1T2bJlNXbsWDVp0kSS1LRpU40fP14TJkzQhQsX5OfnpyVLlsjT01OSFBERoevXryssLEzp6ekKDg7WnDlz7HdAAAAAAAAUEZPZbDbbu4iHzZEjRyRJ9erVs3MlAPJkZGQoLi5O/v7+hpgaBcCYHN9aae8SAADFIHdmuL1LuCtbcuhDObUeAAAAAAAUjCAPAAAAAICBEOQBAAAAADAQgjwAAAAAAAZCkAcAAAAAwEAI8gAAAAAAGAhBHgAAAAAAAyHIAwAAAABgIAR5AAAAAAAMhCAPAAAAAICBEOQBAAAAADAQgjwAAAAAAAZCkAcAAAAAwEAI8gAAAAAAGAhBHgAAAAAAAyHIAwAAAABgIAR5AAAAAAAMhCAPAAAAAICBEOQBAAAAADAQgjwAAAAAAAZCkAcAAAAAwEAI8gAAAAAAGAhBHgAAAAAAAyHIAwAAAABgIAR5AAAAAAAMhCAPAAAAAICBEOQBAAAAADAQgjwAAAAAAAZCkAcAAAAAwEAI8gAAAAAAGAhBHgAAAAAAAyHIAwAAAABgIAR5AAAAAAAMhCAPAAAAAICBEOQBAAAAADAQgjwAAAAAAAZCkAcAAAAAwEAI8gAAAAAAGAhBHgAAAAAAAyHIAwAAAABgIAR5AAAAAAAMhCAPAAAAAICBEOQBAAAAADAQgjwAAAAAAAZCkAcAAAAAwEAI8gAAAAAAGAhBHgAAAAAAAyHIAwAAAABgIAR5AAAAAAAMhCAPAAAAAICBEOQBAAAAADAQgjwAAAAAAAZCkAcAAAAAwEAI8gAAAAAAGAhBHgAAAAAAAyHIAwAAAABgIAR5AAAAAAAMhCAPAAAAAICBEOQBAAAAADAQgjwAAAAAAAZCkAcAAAAAwEAI8gAAAAAAGAhBHgAAAAAAAyHIAwAAAABgIAR5AAAAAAAMhCAPAAAAAICBEOQBAAAAADAQgjwAAAAAAAZCkAcAAAAAwEAI8gAAAAAAGAhBHgAAAAAAA3GydwG4f45vrbR3CcADdNTeBQAPRO7McHuXAAAAHlKckQcAAAAAwEAI8gAAAAAAGAhBHgAAAAAAAyHIAwAAAABgIAR5AAAAAAAMhCAPAAAAAICBEOQBAAAAADAQgjwAAAAAAAZCkAcAAAAAwEB+t0H+0qVLGjhwoBo1aqTg4GBFRkbq+vXr9i4LAAAAAID78rsN8kOGDFHJkiW1Y8cOrVmzRrt27VJsbKy9ywIAAAAA4L78LoP86dOn9d1332n48OFyc3NT1apVNXDgQK1atcrepQEAAAAAcF+c7F1AcYiPj5enp6d8fHwsbTVq1NC5c+f03//+V2XKlLnj9jk5OTKbzTp8+HBxl1ok1nfxs3cJAIAiZpS/Qb83/E0FgN8nI/xdzcnJkclkKtTY32WQT09Pl5ubm1Vb3vcZGRl3DfJ5T15hn0R7e6xsKXuXAADA7wJ/UwEA9mIymf7YQb5kyZLKzMy0asv73t3d/a7bBwYGFktdAAAAAADcr9/lNfI1a9ZUamqqkpOTLW3/+c9/VLFiRZUuXdqOlQEAAAAAcH9+l0He19dXDRs2VFRUlK5evaqzZ89q0aJFCg0NtXdpAAAAAADcF5PZbDbbu4jikJycrL/+9a/as2ePHBwc1LVrVw0bNkyOjo72Lg0AAAAAgHv2uw3yAAAAAAD8Hv0up9YDAAAAAPB7RZAHAAAAAMBACPIAAAAAABgIQR4AAAAAAANxsncBAP5Y2rRpo6SkJDk5Wf/zExgYqPfee++O29auXVsrVqxQcHBwcZYIAIChjBs3Tps2bZIkXb9+XTk5OXJzc7P0L1myRI0aNbJXeQCKAavWA3ig2rRpo0GDBikkJMTmbQnyAADc2bp167RgwQJ99dVX9i4FQDFiaj2Ah8aFCxc0ZMgQtWnTRvXr11fbtm21Zs2aAsf+85//VMeOHdWwYUM999xzWrRokaUvOTlZw4YNU/PmzdWiRQuNGzdOV69efVCHAQDAQ+Onn35S7dq1NXXqVDVu3FgTJ07U/PnzFR4ebjWuTZs2WrdunSQpOztbc+fOVdu2bRUUFKS+ffvq9OnT9igfwG0Q5AE8NMaOHStnZ2d99tln+v777/WXv/xFkyZNUnp6utW4rKwsDR8+XOPGjdP+/fs1c+ZMLVmyRIcPH9aNGzc0cOBAOTg46J///Kc2bdqkixcvaty4cXY6KgAA7C89PV07d+7U0KFD7zp29uzZ2rZtm2JjY7Vjxw7Vr19fffr00bVr1x5ApQAKg2vkATxwEydOVFRUlFXb9u3bNXnyZLm7u8vZ2Vnnzp2Tu7u7srKylJaWJnd3d6vxrq6uWrNmjW7cuKEnn3xS+/fvl4ODgw4fPqwff/xR77//vmWbkSNH6tlnn9U777wjLy+vB3acAAA8LLp27SoXFxe5uLjccZzZbNY//vEPzZs3T1WrVpUkRURE6OOPP9a2bdvUoUOHB1EugLsgyAN44MaPH1/gNfJHjx7V9OnTlZiYKF9fXz366KOSpBs3bliNc3V11YcffqhFixbprbfe0tWrV9WhQweNHTtWP/30k3Jzc9WqVSurbVxcXHT27FmCPADgD8nb27tQ41JSUpSRkaE33nhDDg7/m7ybk5Ojn3/+ubjKA2AjgjyAh0JOTo5ef/11vfnmm/rzn/8sk8mkH374QZ988km+sVevXtXFixc1c+ZMSVJcXJzefPNN/e1vf1P79u3l6uqqPXv2yNHRUdLNa/3Onj1reWMAAIA/GpPJZPnawcFBOTk5lu9v3Lih1NRUSZKXl5dKlCih9957Tw0aNLCMOXnypHx8fB5UuQDugmvkATwUcnJylJWVJVdXV5lMJp07d04zZsyw9P1Wenq6+vbtq02bNslsNsvb21sODg7y8vJSQECAHn30UU2dOlXp6enKyspSVFSUevfurdzcXHscGgAAD5UaNWro+PHjio+P1/Xr17V06VJlZGRIuhnyQ0NDNXPmTJ0/f143btzQ+vXr1alTJxa8Ax4iBHkAD4WSJUsqKipKCxcuVGBgoHr16qXmzZurfPnyOnHihNVYHx8fzZs3T0uWLNGTTz6pTp06qUmTJurdu7ecnJy0ePFiJScn65lnnlGLFi105swZvf/++ypRooSdjg4AgIdHu3bt1LlzZ/Xu3VstW7bU5cuX1bBhQ0v/yJEjVb9+ff35z39Wo0aNFBsbq3nz5umJJ56wY9UAfov7yAMAAAAAYCCckQcAAAAAwEAI8gAAAAAAGAhBHgAAAAAAAyHIAwAAAABgIAR5AAAAAAAMhCAPAAAAAICBEOQBAAAAADAQgjwAAAAAAAZCkAcA4A8kPDxco0aNsmqbO3eunnzySfXt29dOVQEAAFs42bsAAABgPx999JHef/99LVy4UHXr1rV3OQAAoBAI8gAA/EGZzWa9//776tmzp5o3b27vcgAAQCExtR4AgD+obdu26dSpU+rRo4elbf78+apdu3a+j/DwcMuYr776Si+99JICAwNVr149hYaG6ttvv7Xa98qVK9WhQwcFBATo+eef18aNGy19KSkpGjlypIKDg9WwYUP17dtXiYmJlsdv06bNbWuuXbu21q1bV0TPAAAAxkSQBwDgD+jcuXOaPn26nn76adWoUcOqr2LFivr3v/9t+XjuuecsfT/88IMiIiL0zDPP6JNPPtHq1atVrlw5DRs2TNnZ2ZKkZcuWKTo6Wq+++qo+/fRThYWFafTo0dq5c6euX7+uPn366MSJE1q4cKE+/vhjOTo6qk+fPrp+/foDfQ4AADAqptYDAPAHs3HjRq1fv16+vr6aPn16vn5HR0dVqFDB8r2rq6tV39ixYxUWFmZp69Wrl/r06aNLly6pUqVKio2NVa9evSxn+sPCwpSVlaXc3Fzt3r1bcXFx+vzzz1W9enVJ0qRJk7Rs2TKlpqYW0xEDAPD7QpAHAOAPpnXr1nr22Wc1ceJEDRkyRIsXL5aLi0uhtvX395eHh4eWLFmiU6dOKTExUXFxcZKk3NxcpaSk6OLFi6pfv77Vdq+++qqkm2fry5QpYwnxklShQgWrlfTPnTunwMBAOTg4qEKFCmrZsqUGDRokDw+P+z10AAB+F5haDwDAH0yZMmXUpUsXzZo1S99++61mzpxZ6G337t2rDh066NChQ6pVq5YiIiI0Y8YMS3/eGwImk6nA7Z2cnG7bl8fb21sbNmzQ6tWrNWbMGO3cuVMjR44sdI0AAPzeEeQBAPiDatWqlXr27KkVK1bo4MGDkm6uZO/gcPv/HixbtkzBwcFasGCBevfurebNm+uXX36xbFuqVCl5e3vryJEjVtsNHjxYkydPlp+fn9LS0nT69GlLX0pKiho3bqz9+/dLuhn2H330UVWvXl0tW7bUn/70J3333XdFfPQAABgXQR4AgD+wESNGyNvbW2PGjNG5c+eUmJiokiVL3nZ8pUqVdPz4ce3bt08//fST1q5dq7lz50qSZbG7fv36afny5dqwYYPOnDmjVatWaevWrWrXrp2aNm2qunXrasSIETp06JDi4+M1evRolStXTvXq1ZN0c4p+UlKSzp8/r3379mn9+vWWPgAAwDXyAAD8oZUqVUoTJ07U66+/rrZt26pkyZIaMWLEbccPHjxYycnJ6t+/vyTJz89PUVFRGj58uA4fPqwaNWroL3/5i65du6Z58+YpKSlJvr6+mj17tpo0aSJJWrRokaZOnWq5bj44OFjLli2zTMs/f/68WrRoIUny8vJSo0aNNGbMmOJ8GgAAMBST2Ww227sIAAAAAABQOEytBwAAAADAQAjyAAAAAAAYCEEeAAAAAAADIcgDAAAAAGAgBHkAAAAAAAyEIA8AAAAAgIEQ5AEAAAAAMBCCPAAAAAAABkKQBwAAAADAQAjyAAAAAAAYCEEeAAAAAAAD+X+tNOJJzCFbCgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Класс False: 151 записей\n",
      "Класс True: 4849 записей\n"
     ]
    }
   ],
   "source": [
    "count_true = np.sum(y_reshaped)\n",
    "count_false = len(y_reshaped) - count_true\n",
    "\n",
    "class_counts = np.array([count_false, count_true])\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.bar(['False', 'True'], class_counts)\n",
    "plt.xlabel(\"Классы\")\n",
    "plt.ylabel(\"Количество примеров\")\n",
    "plt.title(\"Распределение классов в данных\")\n",
    "plt.show()\n",
    "\n",
    "print(f\"Класс False: {count_false} записей\")\n",
    "print(f\"Класс True: {count_true} записей\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "93c6d4f9-2f25-4fe6-abad-8ef58ec5997c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Точность несбалансированной логистической регрессии: 0.9426666666666667\n",
      "Точность RandomOverSampler логистической регрессии: 1.0\n",
      "Точность RandomUnderSampler логистической регрессии: 0.5546666666666666\n",
      "Точность SMOTEENN логистической регрессии: 0.876\n"
     ]
    }
   ],
   "source": [
    "ros = RandomOverSampler(random_state=42)\n",
    "X_ros_resampled, y_ros_resampled = ros.fit_resample(X_last_channel, y_reshaped)\n",
    "\n",
    "rus = RandomUnderSampler(random_state=42)\n",
    "X_rus_resampled, y_rus_resampled = rus.fit_resample(X_last_channel, y_reshaped)\n",
    "\n",
    "smote_enn = SMOTEENN(random_state=42)\n",
    "X_smote_resampled, y_smote_resampled = smote_enn.fit_resample(X_last_channel, y_reshaped)\n",
    "\n",
    "# Обучение случайного леса на сбалансированных данных\n",
    "logreg = LogisticRegression(max_iter=1000)\n",
    "logreg.fit(X_train, y_train)\n",
    "logreg_accuracy = accuracy_score(y_test, logreg.predict(X_test))\n",
    "print(\"Точность несбалансированной логистической регрессии:\", logreg_accuracy)\n",
    "\n",
    "logreg = LogisticRegression(max_iter=1000)\n",
    "logreg.fit(X_ros_resampled, y_ros_resampled)\n",
    "logreg_accuracy = accuracy_score(y_test, logreg.predict(X_test))\n",
    "print(\"Точность RandomOverSampler логистической регрессии:\", logreg_accuracy)\n",
    "\n",
    "logreg = LogisticRegression(max_iter=1000)\n",
    "logreg.fit(X_rus_resampled, y_rus_resampled)\n",
    "logreg_accuracy = accuracy_score(y_test, logreg.predict(X_test))\n",
    "print(\"Точность RandomUnderSampler логистической регрессии:\", logreg_accuracy)\n",
    "\n",
    "logreg = LogisticRegression(max_iter=1000)\n",
    "logreg.fit(X_smote_resampled, y_smote_resampled)\n",
    "logreg_accuracy = accuracy_score(y_test, logreg.predict(X_test))\n",
    "print(\"Точность SMOTEENN логистической регрессии:\", logreg_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c58f1136-2c56-4991-8674-371ebffcd6c0",
   "metadata": {},
   "source": [
    "### Выводы по выполненному заданию\n",
    "\n",
    "##### Общая оценка моделей\n",
    "\n",
    "1. **K-ближайших соседей (KNN)**:\n",
    "   - **Плюсы**: Простой и интуитивно понятный, работает с небольшими наборами данных.\n",
    "   - **Минусы**: Чувствителен к выбору гиперпараметров и медленный на больших выборках. Результаты на тестовой выборке показали среднюю точность.\n",
    "\n",
    "2. **Логистическая регрессия**:\n",
    "   - **Плюсы**: Быстрая и легко интерпретируемая.\n",
    "   - **Минусы**: Плохо справляется с нелинейными зависимостями. Точность на уровне KNN, но снижается на несбалансированных данных.\n",
    "\n",
    "3. **Метод опорных векторов (SVM)**:\n",
    "   - **Плюсы**: Эффективен при высоких измерениях и сложных границах.\n",
    "   - **Минусы**: Чувствителен к выбору ядра и может требовать больших ресурсов.\n",
    "   - **Результаты**: Высокая точность, делает его предпочтительным методом.\n",
    "\n",
    "4. **Случайный лес**:\n",
    "   - **Плюсы**: Устойчив к переобучению, хорошо работает с несбалансированными данными.\n",
    "   - **Минусы**: Меньшая интерпретируемость.\n",
    "   - **Результаты**: Наивысшая точность среди всех моделей, рекомендуется для данной задачи.\n",
    "\n",
    "##### Балансировка классов\n",
    "Методы, такие как RandomOverSampler и SMOTE, не всегда значительно улучшали точность моделей, что подчеркивает необходимость комплексного подхода к подготовке данных.\n",
    "\n",
    "##### Итог\n",
    "**Случайный лес** оказался наиболее надежным алгоритмом для классификации ритмов сердца, обеспечив наилучшие результаты. **SVM** также показал хорошие результаты. **KNN** и **логистическая регрессия** менее эффективны в данной задаче. Рекомендуется использовать **Случайный лес** или **SVM** в зависимости от требований к интерпретируемости и вычислительным ресурсам."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}