прогнозирование спроса рейса для всех классов.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4711e73a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "import warnings\n",
    "import datetime\n",
    "import pickle\n",
    "# обработка данных\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from itertools import product\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.base import BaseEstimator\n",
    "# визуализация данных\n",
    "import matplotlib.pyplot as plt\n",
    "from tqdm import tqdm\n",
    "# модели для обучения\n",
    "from sklearn.ensemble import BaggingRegressor, HistGradientBoostingRegressor\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "# метрики точности моделей\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "939bfa63",
   "metadata": {},
   "source": [
    "# Предобработка данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a715f837",
   "metadata": {},
   "outputs": [],
   "source": [
    "paths = os.listdir(path='F:\\\\')\n",
    "bb_path = list(filter(lambda file: file.endswith('BB.csv'), paths))[0]\n",
    "hh_path = list(filter(lambda file: file.endswith('HH.csv'), paths))[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0ee01d36",
   "metadata": {},
   "outputs": [],
   "source": [
    "use_cols = ('FLTDAT', 'FLTTIME', 'FLTNUM')\n",
    "dates = ['FLTDAT']\n",
    "dtypes = {'FLTNUM': 'int16'}\n",
    "bb = pd.read_csv('F:\\\\' + bb_path, delimiter=';', dtype=dtypes, parse_dates=dates, usecols=use_cols)\n",
    "bb = bb.dropna(how='any', axis=0)\n",
    "bb.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "299dba3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "use_cols = ('FLT_NUM', 'DD', 'SEG_CLASS_CODE', 'FCLCLD',\n",
    "            'PASS_BK', 'SA', 'AU', 'DTD')\n",
    "dates = ['DD']\n",
    "dtypes = {'FLT_NUM': 'int16', 'FCLCLD': 'int16', 'PASS_BK': 'int16', 'SA': 'int16', 'AU': 'int16',\n",
    "          'DTD': 'int16'}\n",
    "hh = pd.read_csv('F:\\\\hh_for_profiles.csv', dtype=dtypes, parse_dates=dates, usecols=use_cols)\n",
    "hh = hh[hh['FCLCLD'] == 0]\n",
    "hh.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "204709dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████| 22/22 [04:53<00:00, 13.34s/it]\n"
     ]
    }
   ],
   "source": [
    "apr_days, may_days = [29, 30], [1, 6, 7, 8, 9]\n",
    "dec_days, jan_days = [29, 30, 31], [1, 2, 3, 4, 5, 6, 7, 8]\n",
    "april, may, december, january = 4, 5, 12, 1\n",
    "origin = datetime.datetime(1970, 1, 1)\n",
    "for scd in tqdm(hh['SEG_CLASS_CODE'].unique()):\n",
    "    subset = hh[hh['SEG_CLASS_CODE'] == scd]\n",
    "    subset = pd.merge(bb, subset, left_on=['FLTNUM', 'FLTDAT'], right_on=['FLT_NUM', 'DD'])\n",
    "    subset.dropna(how='any', axis=0, inplace=True)\n",
    "    subset.drop(columns=['DD', 'FLT_NUM'], inplace=True)\n",
    "    subset.drop_duplicates(inplace=True)\n",
    "    subset['FLTDAT'] = pd.to_datetime(subset['FLTDAT'])\n",
    "    subset['FLTTIME'] = pd.to_datetime(subset['FLTTIME'])\n",
    "    subset['fltHour'] = subset['FLTTIME'].dt.hour\n",
    "    subset['fltMinute'] = subset['FLTTIME'].dt.minute\n",
    "    subset['weekend'] = (subset['FLTDAT'].dt.dayofweek > 4).astype(int) # 1 - выходной / 0 - рабочий\n",
    "    subset['dayOfWeek'] = subset['FLTDAT'].dt.dayofweek # дни недели\n",
    "    subset['holidays'] = \\\n",
    "    ((subset['FLTDAT'].dt.day.isin(apr_days)) & (subset['FLTDAT'].dt.month == april)   | # весенние\n",
    "    (subset['FLTDAT'].dt.day.isin(may_days)) & (subset['FLTDAT'].dt.month == may)      | # 9 мая\n",
    "    (subset['FLTDAT'].dt.day.isin(dec_days)) & (subset['FLTDAT'].dt.month == december) |  # преднг дни\n",
    "    (subset['FLTDAT'].dt.day.isin(jan_days)) & (subset['FLTDAT'].dt.month == january))    # новогодние\n",
    "    subset['holidays'] = subset['holidays'].astype(int)\n",
    "    subset['FLTDAT'] = (subset['FLTDAT'] - origin).dt.days\n",
    "    subset.drop(columns=['FCLCLD', 'FLTTIME'], inplace=True)\n",
    "    subset.drop_duplicates(inplace=True)\n",
    "    concats = []\n",
    "    pass_bk_mean = int(subset['PASS_BK'].value_counts().mean())\n",
    "    for elem in subset['PASS_BK'].unique():\n",
    "        sub = subset[subset['PASS_BK'] == elem]\n",
    "        if elem > pass_bk_mean:\n",
    "            concats.append(sub.sample(n=pass_bk_mean, random_state=25))\n",
    "        else:\n",
    "            concats.append(sub.sample(n=pass_bk_mean, random_state=25, replace=True))\n",
    "    subset = pd.concat(concats)\n",
    "    subset.to_csv(f'F:\\\\reg_prepared\\\\SVO-AER_2018-01-01--2019-12-31reg_{scd}.csv', index=False)\n",
    "del apr_days, may_days, dec_days, jan_days, april, may, december, january, origin"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d83907f3",
   "metadata": {},
   "source": [
    "# Подготовка данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d6abd2da",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = 'F:\\\\reg_prepared\\\\'\n",
    "paths = os.listdir(path=path)\n",
    "datasets = {file[-5:-6:-1]: pd.read_csv(path + file) for file in paths}\n",
    "for dataset in datasets:\n",
    "    data = datasets[dataset]\n",
    "    data.drop(columns=['SEG_CLASS_CODE'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ceb6ef65",
   "metadata": {},
   "source": [
    "# Функции обучения и визуализации результатов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "dc6f6a58",
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(model: BaseEstimator, dataset: pd.DataFrame, scores: tuple) -> tuple:\n",
    "    score_train = {}\n",
    "    score_test = {}\n",
    "    X, y = dataset.drop(columns=['PASS_BK']), dataset['PASS_BK']\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.25, random_state=100)\n",
    "    model = model.fit(X_train, y_train)\n",
    "    y_train_pred = model.predict(X_train)\n",
    "    y_test_pred = model.predict(X_test)\n",
    "    for score in scores:\n",
    "        score_train[str(score).split()[1]] = round(score(y_train, y_train_pred), 4)\n",
    "        score_test[str(score).split()[1]] = round(score(y_test, y_test_pred), 4)\n",
    "    return model, score_train, score_test\n",
    "\n",
    "def train_models(model: BaseEstimator, datasets: pd.DataFrame, metrics: tuple) -> tuple:\n",
    "    cycle = tqdm(datasets)\n",
    "    models, train_scores, test_scores = [], [], []\n",
    "    for dataset in cycle:\n",
    "        cycle.set_description(f\"Обучение на классе {dataset}\")\n",
    "        result_training = train(model, datasets[dataset], metrics)\n",
    "        models.append(result_training[0])\n",
    "        train_scores.append(result_training[1])\n",
    "        test_scores.append(result_training[2])\n",
    "    return models, train_scores, test_scores\n",
    "\n",
    "def charts(model: BaseEstimator, classes: list, train_scores: list, test_scores: list) -> None:\n",
    "    metrics = tuple(train_scores[0].keys()) # кортеж всех метрик\n",
    "    plt.style.use(\"seaborn\")\n",
    "    for i in range(len(train_scores[0])):\n",
    "        plt.figure(figsize=(16, 14), dpi=180)\n",
    "        test_score = np.clip([score[metrics[i]] for score in test_scores], 0, 1)\n",
    "        plt.bar(classes, np.clip([score[metrics[i]] for score in train_scores], 0, 1), width=.9,\n",
    "                  label='train', alpha=.5, color='#78DBE2') # метрики для train\n",
    "        plt.bar(classes, test_score, width=.8, label='test', alpha=.8, color='#2dd29f') # test\n",
    "        title = re.match(r'\\w+(?=\\()', str(model))[0] + ' ' + metrics[i]\n",
    "        plt.title(title, pad=50, fontsize=22, fontname=\"Times New Roman\")\n",
    "        for j in range(len(classes)):\n",
    "            plt.text(j, test_score[j], test_scores[j][metrics[i]], ha='center')\n",
    "        plt.ylabel('Метрика', fontweight='bold', fontsize=18, fontname=\"Times New Roman\")\n",
    "        plt.legend(fontsize=14, loc='upper left')\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "497c9e81",
   "metadata": {},
   "source": [
    "# Тренировка лучших моделей"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3649e8c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "metrics = (mean_absolute_error, r2_score)\n",
    "# MAE - в среднем отклонение между реальным и предсказанным значениями (меньше - лучше)\n",
    "# R2 - насколько данные соответсвуют модели (чем ближе к 1.0, тем лучше); > 80% идеал"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6be2bce3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Обучение на классе Z: 100%|████████████████████████████████████████████████████████████| 22/22 [22:55<00:00, 62.53s/it]\n"
     ]
    }
   ],
   "source": [
    "model = HistGradientBoostingRegressor(loss='absolute_error', max_iter=300)\n",
    "models, train_scores, test_scores = train_models(model, datasets, metrics)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3a722ab0",
   "metadata": {},
   "outputs": [
    {
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IQgELVFFRkYkTJ+b555/Pcccdl8rKyvTq1SsdO3as79IK6eOPP06SdOzYcZFLV1F/5p7fY8aMqedKYNH+9a9/JZnzpYs15AEajscffzxnnXVWKioqUlZWlrPPPrtWM4zAim7ucncLWh7vySefTJMmTfL973+/rktr0Dp16pQzzjgjyZyQ5bPPPlvPFTUs7733XpJk7bXXXqzP+t/61reSzJm9Ze6XMywff/zjH5MkTZo0yQ477FDP1RTP3HN8o402WqztNt544yRzZuEaNWrUMq+LpLy8PLfffntuvfXWJHMCDsJ+wMLsvffeadGiRaZNm5bnn3++xj5zl8Xbf//9zUi8DPXq1SvbbLNNqqqqqq/bp556arp3716/hTVQZ555ZtZZZ53Mnj07F154YUaNGpUbbrghSfLzn/887du3r+cKG7YJEybkjDPOyOzZs7PWWmvlyiuvXOjy4bA8NK7vAoAVx+GHH77Q9uOOOy6nnXZa3RTTAE2ePDlJstpqq9VzJSzM3KUfLRmx9M4999yce+65i+x3++23Z7vttquDihqeTz/9NEnSpk2bNG7sbV1dq+05DrA4nnjiidx3332pqKhIaWlpysvL07dv3/zhD3/wtCKF171797Rv3z6ffPJJXn/99Wy11VbVbe+//34++uij7Ljjjp6IXg4OO+ywPP3003n11Vfzy1/+Mt27d0/btm3ru6wGYeLEiUmy2OftV5e1njBhwrIsiSQzZszIxx9/nHvuuaf6C90jjzzSsptLYO6MZa1bt16s7b56rCdMmJBOnTot07pWFr/73e9y3333zfO7qqqqfPHFFxk+fHjKy8uTzAk39OvXrz5KBAqkZcuW2XPPPfPAAw/kkUceyd577z1P+2effZa//e1vSZIf//jH9VFig1VaWpoLLrig+pivvvrqOfbYY+u5qoarRYsWufjii3PEEUdk8ODBOeKIIzJjxozsueee+X//7//Vd3kNWlVVVfr06ZNx48alSZMmueaaa3wvSr3wjRlQbYMNNpjn6cXKyspMmzat+kP1rbfemi+//DJ9+/b1RPoSaN68eZJk1qxZ9VwJCzP3348vGpde586da/UGt1WrVnVQTcNU00wKX3feeeflL3/5S41t7du3z4svvrisy1pp1OYcnzBhQoYNG1Y3BQENwt13350kOeKII9K1a9f069cvL730UgYMGJBjjjmmnquDpVNSUpI99tgjt99+e5566ql5glBzl/X5+pcxLBslJSW55JJLst9+++Wzzz7LhRdemN/85jf1XVaDMHPmzCRZ7OVLv3pfpTbv61mwRT3Yl8z5MvenP/1pHVTTcC3ufZKv9jcDwJIbNmzYAj9Tdu7cOT169Mg+++yTLbfcsm4LAwrrgAMOyAMPPJBBgwZl4sSJ84TjH3300cyePTvdunVL165d67HKhumWW26p/vnzzz/PgAED0qtXr3qsqGHbbrvtcvDBB+fOO+/MqFGj0q5du5x//vn1XVaDd9NNN2XQoEFJkrPOOst7FOqNIBRQrV+/fjXOylJeXp4HH3wwF154Yf70pz+loqLCm4Ul0K5duyRmGlrRTZ06NUmy6qqr1nMlxXf88cfnhz/8YX2X0aDNvVExadKkzJ49u8ZZodZdd915vmRMhHOWldqc4w888IBZo4DFdswxx+Sss85Kkrzwwgt57rnncvXVV2ebbbbJ5ptvXs/VwdLZa6+9cvvtt2fgwIE599xzq78of+qpp9K0adPstttu9VxhwzV3ibyLL744jz/+ePbcc0/LEC4Dc2eCmjsLdG3NnUkqMXP00vr6g30lJSVp2rRp2rRpkw033DC77bZbvvnNb9ZjhcW22mqrZdiwYfOcs7XhHF82Lr300urPnZWVlRk9enT69++fu+++O+PHj0/nzp19wUghlZaWprKyslZ9vxoY9oD20uvevXu6dOmSjz/+OE899VQOPvjg6rYHH3wwyZywFMvWo48+mvvvvz8lJSXp3r17/vnPf+a6667LDjvskE033bS+y2uwfvazn+XOO+9MkvTu3dusuMvZK6+8kt/+9rdJkj333LNWDyzA8uJRDGCRysrKcuCBB6Z3795JknvvvTdjx46t56qKZ7311kuSfPLJJ9Vhm0WZMGFCRo0atTzL4ivKy8szevToJMn6669fz9XAom244YZJ5twQGjp0aI19evXqlbvuumue/x1//PF1WSYAi+Hoo4+uDkElyUUXXZQ11lgjs2bNyplnnpkvvviiHquDpbflllumQ4cO+eSTT/LGG28kSd59990MGzYsO+200zxhBpa9ww47LNtss02S5Pzzz7ck2zKw0UYbJUlGjBiRL7/8stbb/fvf/67+eYMNNljmda1M+vXrN8/nnTvvvDN//OMfc/XVV6d3795CUEtp7jn+1XO2Nv71r38lSVZZZZWstdZay7yulVFpaWnWWWedXHDBBTn55JMzffr0XHjhhfPMMAJF0axZsyT/nVlxYb76+jp3O5bO3IDlo48+Wv279957L++//35atGhhltZlbPjw4fnlL3+ZJDnwwANz4403pl27dtWf8xfnPSSLp2XLltU/t2jRoh4rafg+++yznHnmmamoqMh6662Xiy++uL5LYiUnCAXU2q677pokqaioqL6ZQe199fi9/PLLtdrmvvvuy6677po99tgj5eXly7M8krz11lvVS+N9fQYdWBHtsMMO1UtwPP300/VcDdCQzJ49O0OHDs3//u//1rhcz9wnd8vKyuq6tAZvp512muefV1tttVx00UVJ5nzJPvfmKRTV3OXxkjmzQCWWxatLc5fIa968eT7//PP86le/qu+SCm/udXvWrFn561//Wuvtnn322STJJptskjXWWGM5VAbLxo477phkzgxPQ4YMqdU2lZWV+d///d8kybe//e0aZy9m6Zx88sn57ne/myS58sor849//KOeK4LFs+aaayaZszzYoowfPz7JnM+fc2diZOn07NkzjRs3zpAhQ6ofDJ47G9Tee+89T3iEpVNeXp7TTz8906ZNS+fOnXP22WendevWufTSS1NSUpJhw4blkksuqe8yYalUVlbmzDPPzKeffprmzZvnuuuu85AT9U4QCqi1uUsWJKnxCzEWbp111skWW2yRZM5a0Is6huXl5bn33nuTJF26dPFFYx247777ksz5ID73KWlYkbVt2zb77LNPkuTOO+/Mp59+Ws8VAQ3Fu+++m7333ju9evWqcQaiuU8rugldN3beeecceOCBSZLHHnss999/fz1XBEtnr732SpIMHDgwVVVVefLJJ9OiRYv5goAsH506dcqZZ56ZJHnyySczcODAeq6o2DbccMNst912SZKbb765Vg8xvfrqq9UPSB166KHLtT5YWt/73vfSuXPnJMkNN9xQY59evXrl2muvzbhx45LMmWFk7nLshxxySF2UudKZG2xt1apVKisrc/bZZ5s5lEKZO8v5u+++u8i+b731VpI5Myh+9TsKltwaa6yRHXfcMVVVVXniiSeq/z9JfvzjH9dzdQ3LFVdckXfffTdNmjTJVVddVT0rUY8ePapfI++9997qkDwU0fXXX1/9+eaCCy4w4y0rBEEooNbmPslVUlKSTTbZpJ6rKaa+ffumpKQkr7/+em666aaF9r3qqqsyatSolJaW5sQTT6yjCldegwcPziOPPJJkzg08681TFGeccUZWXXXVTJgwIaeffnomTpy40P7Tp0/P888/X0fVAUW19tprV//8/vvvz9NWXl6e//znP0liqZk6dM4551R/CXnRRRfl448/rt+CYCl069YtHTt2zNixY/PnP/85o0ePzq677mqpkzp06KGHZtttt00yJ1DP0rnwwgvTokWLvPfee/nlL3+ZioqKBfYdMWJE+vTpkyT5zne+k549e9ZVmbBESktLc8kll6RRo0YZNGhQrr322nnaP/vss7z66qu58cYbs88+++SGG27IBRdckGTOjGk77LBDfZS9Umjfvn3OPvvsJMm4ceNyxRVX1HNFUHu77bZbkuTFF1+c7zPnV33++efVs6DvueeedVLbyuJHP/pRkuSZZ57Ja6+9lvHjx6dr167p1q1b/RbWgDz77LO54447kiSnnXZaNt1003nazzrrrOr7Kuedd1717GdQJH/7299y8803J0kOOuig7L///vVcEcwhCAUsUlVVVZ5++unqF7I99tgjHTp0qOeqiqlbt245/vjjkyTXXnttzjzzzHz44Yfz9Bk1alR+9rOf5dZbb02SnHTSSdlss83qutSVxrRp0/LnP/85xx9/fCorK7P99tvn4IMPru+yoNbat2+fG264IS1btsyrr76a/fffP/fdd1+mTJkyT79x48ZlwIAB+f73v59nnnkmSdK1a9f6KBkogNVXX7365ue1116byZMnJ5mzZN5VV12V6dOnp0WLFunRo0c9VrlyadGiRa644oo0btw406dPz+mnn27p5GVo6tSpmTBhwkL/Z1bcZWvu8ni/+c1vkqR6lkvqxtyZRFq0aOHcXgbWXXfdXHzxxSkrK8sDDzyQI444Iq+//vo8faZPn5577rkn//M//5OxY8emU6dOufzyy81sQSF07949ffr0SUlJSW688cacdNJJ1cGFNdZYIy+//HJ69+6dqVOn5rrrrsu0adOy3nrr5corr6znyhu+Aw44oDrYeu+99+bVV1+t54qgdvbdd99sueWWmT17do455pg8//zz1Uuwz/X666/n6KOPzpQpU7LuuuvmiCOOqKdqG6Ydd9wx7dq1y1tvvZXbb789yZxrCsvG2LFjc9555yVJtt9++xxzzDHz9WnatGmuvPLKNGnSJJMmTco555zjvTmFMm7cuPTp0yeVlZXZaqutqs95WBFYnBuodtFFF823Zuvs2bMzevTo6rW6N9lkk5x//vn1UF3Dcfrpp6dNmzb59a9/ncceeyyPPfZY2rVrl7XWWitTpkzJ8OHDkyRNmjTJT3/60xx33HH1XHHD8PXze/b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      "text/plain": [
       "<Figure size 2880x2520 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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P8tXlnQFg1g0ZMmSaryl79uyZjTbaKNtss03WWmutyg4GFGuHHXbInXfemYEDB2b06NFTxPH33XdfJk6cmDXXXDMrrLBCFadsma666qqmnz/++ONcffXV2X///as4Ucu2/vrrZ5dddslNN92U4cOHp2vXrjnppJOqPVaLd/nll2fgwIFJkqOPPtpzFKpGCAU06d+//1TPylJXV5e77rorp5xySm688cbU19d7sjALunbtmsSZhuZ148ePT5IstNBCVZ6kfAcccEB+8pOfVHuMFm3yGxVjxozJxIkTp3pWqGWWWWaKDxkTcc6c0px9/M4773TWKGCm7bPPPjn66KOTJE8++WQef/zxnH/++Vl33XWz+uqrV3k6mD1bbbVVrr/++jz88MM57rjjmj4o/+Mf/5h27dpl8803r/KELdfkS+SddtppeeCBB7Llllu6DOEcMPlMUJPPAt1ck88klThz9Oz6+hf7ampq0q5du3Tu3DkrrbRSNt988yy//PJVnLBsiyyySIYMGTLFPtsc9vE544wzzmh63dnQ0JARI0ZkwIABueWWW/LBBx+kZ8+ePmCkSLW1tWloaGjWsl8Nhn1Be/b16tUryy23XN5555388Y9/zC677NJ021133ZVkUizFnHXffffljjvuSE1NTXr16pW//e1vueiii7Lhhhtm1VVXrfZ4LdYvf/nL3HTTTUmSvn37OivuXPbss8/mkksuSZJsueWWzfrCAswtvooBzFDbtm2z0047pW/fvkmS2267LSNHjqzyVOVZdtllkyT//ve/m2KbGRk1alSGDx8+N8fiK+rq6jJixIgkybe//e0qTwMzttJKKyWZ9IbQ22+/PdVl9t9//9x8881T/O+AAw6o5JgAzIS99967KYJKklNPPTWLLbZYvvzyy/Tr1y+ffPJJFaeD2bfWWmule/fu+fe//50XX3wxSfLqq69myJAh2XjjjaeIGZjzdtttt6y77rpJkpNOOskl2eaAlVdeOUny7rvv5rPPPmv2/f75z382/bziiivO8bnmJ/3795/i9c5NN92Ua665Jueff3769u0rgppNk/fxr+6zzfGPf/wjSbLgggtmiSWWmONzzY9qa2uz9NJL5+STT84hhxySTz/9NKeccsoUZxiBUiywwAJJ/nNmxen56t+vk+/H7JkcWN53331Nv3vttdfy+uuvp0OHDs7SOocNHTo0J554YpJkp512ymWXXZauXbs2vc6fmeeQzJyOHTs2/dyhQ4cqTtLyffTRR+nXr1/q6+uz7LLL5rTTTqv2SMznhFBAs2222WZJkvr6+qY3M2i+r26/Z555pln3uf3227PZZptliy22SF1d3dwcjyQvv/xy06Xxvn4GHZgXbbjhhk2X4HjkkUeqPA3QkkycODFvv/12/u///m+ql+uZ/M3dtm3bVnq0Fm/jjTee4p8XWWSRnHrqqUkmfcg++c1TKNXky+Mlk84ClbgsXiVNvkRe+/bt8/HHH+fXv/51tUcq3uTj9pdffpk//elPzb7fY489liT57ne/m8UWW2wuTAZzRu/evZNMOsPT4MGDm3WfhoaG/N///V+S5Hvf+95Uz17M7DnkkEPy/e9/P0ly7rnn5q9//WuVJ4KZs/jiiyeZdHmwGfnggw+STHr9OflMjMyePn36pHXr1hk8eHDTF4Mnnw1q6623niIeYfbU1dXliCOOyIQJE9KzZ88cc8wxWXjhhXPGGWekpqYmQ4YMyemnn17tMWG2NDQ0pF+/fvnwww/Tvn37XHTRRb7kRNUJoYBmm3zJgiRT/UCM6Vt66aWzxhprJJl0LegZbcO6urrcdtttSZLlllvOB40VcPvttyeZ9EJ88rekYV7WpUuXbLPNNkmSm266KR9++GGVJwJaildffTVbb7119t9//6megWjytxW9CV0Zm2yySXbaaackyf3335877rijyhPB7Nlqq62SJA8//HAaGxvz0EMPpUOHDt8IAZk7evTokX79+iVJHnrooTz88MNVnqhsK620UtZff/0kyRVXXNGsLzE999xzTV+Q2nXXXefqfDC7fvCDH6Rnz55JkksvvXSqy+y///658MIL8/777yeZdIaRyZdj//nPf16JMec7k8PWTp06paGhIcccc4wzh1KUyWc5f/XVV2e47Msvv5xk0hkUv/oZBbNuscUWS+/evdPY2JgHH3yw6f+TZMcdd6zydC3L2WefnVdffTVt2rTJeeed13RWoo022qjp78jbbrutKZKHEl188cVNr29OPvlkZ7xlniCEAppt8je5ampq8t3vfrfK05Tp+OOPT01NTV544YVcfvnl0132vPPOy/Dhw1NbW5uDDjqoQhPOvwYNGpR77703yaQ38FxvnlIceeSRWWihhTJq1KgcccQRGT169HSX//TTT/PEE09UaDqgVEsttVTTz6+//voUt9XV1eVf//pXkrjUTAUde+yxTR9CnnrqqXnnnXeqOxDMhjXXXDNLLrlkRo4cmd///vcZMWJENttsM5c6qaBdd9016623XpJJQT2z55RTTkmHDh3y2muv5cQTT0x9ff00l3333Xdz1FFHJUn+67/+K3369KnUmDBLamtrc/rpp6dVq1YZOHBgLrzwwilu/+ijj/Lcc8/lsssuyzbbbJNLL700J598cpJJZ0zbcMMNqzH2fKFbt2455phjkiTvv/9+zj777CpPBM23+eabJ0meeuqpb7zm/KqPP/646SzoW265ZUVmm1/89Kc/TZI8+uijef755/PBBx9khRVWyJprrlndwVqQxx57LDfccEOS5PDDD8+qq646xe1HH3100/sqJ5xwQtPZz6Akf/7zn3PFFVckSXbeeedsv/32VZ4IJhFCATPU2NiYRx55pOkvsi222CLdu3ev8lRlWnPNNXPAAQckSS688ML069cvb7755hTLDB8+PL/85S9z7bXXJkkOPvjgrLbaapUedb4xYcKE/P73v88BBxyQhoaGbLDBBtlll12qPRY0W7du3XLppZemY8eOee6557L99tvn9ttvz7hx46ZY7v3338/VV1+dH/3oR3n00UeTJCussEI1RgYKsOiiiza9+XnhhRdm7NixSSZdMu+8887Lp59+mg4dOmSjjTaq4pTzlw4dOuTss89O69at8+mnn+aII45w6eQ5aPz48Rk1atR0/+esuHPW5Mvj/eY3v0mSprNcUhmTzyTSoUMH+/YcsMwyy+S0005L27Ztc+edd2aPPfbICy+8MMUyn376aW699db8z//8T0aOHJkePXrkrLPOcmYLitCrV68cddRRqampyWWXXZaDDz64KVxYbLHF8swzz6Rv374ZP358LrrookyYMCHLLrtszj333CpP3vLtsMMOTWHrbbfdlueee67KE0HzbLvttllrrbUyceLE7LPPPnniiSeaLsE+2QsvvJC9994748aNyzLLLJM99tijStO2TL17907Xrl3z8ssv5/rrr08y6ZjCnDFy5MiccMIJSZINNtgg++yzzzeWadeuXc4999y0adMmY8aMybHHHuu5OUV5//33c9RRR6WhoSFrr7120z4P8wIX5waanHrqqd+4ZuvEiRMzYsSIpmt1f/e7381JJ51UhelajiOOOCKdO3fOOeeck/vvvz/3339/unbtmiWWWCLjxo3L0KFDkyRt2rTJL37xi+y3335Vnrhl+Pr+PXHixIwbNy7Dhg1r+rbupptumnPOOSetW/vrcU648sormy43OCN9+/ZN79695/JELdd6662XW2+9Nb/61a/ywgsvpH///jnppJOyxBJLpEuXLhk1alTee++9phfSSy21VA488MCmb34BTM0JJ5yQPfbYI4MGDcrGG2+cnj175t///ndGjRqV2tranHDCCenSpUu1x5yvrLHGGunbt28uueSSvPbaazn77LPTv3//ao/VIhx88MEzXOa5557LQgstVIFp5g9bbbVVrr766kyYMCELL7xwvv/971d7pPnO0ksvnX79+uWUU06p9igtwtZbb50ll1wyhx9+eJ577rnsvPPOWXTRRdO9e/d88cUXGTp0aFPAutVWW031PRiYl+21115ZZpllcuyxx+axxx7LY489lsUXXzzdunXLhAkTmt7Pmmz48OEZMGBA9t9//3Ts2LFKU7d8NTU1Ofnkk7P99tunrq4u/fv3z3333Ze2bdtWezSYrtra2lx44YU5/PDDM3jw4Bx44IFZeOGFs+SSS6ampiYjRozImDFjkiTf+c53cvnll9uv57DWrVvnxz/+cX73u9/l4YcfTps2bbLddttVe6wWYeLEiTnyyCMzZsyYdO7cebrx+yqrrJLDDjss5513Xv785z/n2muvzV577VXhiWHW3H777U2fH48fP77ZwWrv3r3Tt2/fuTkaCKGA/3jjjTe+8bt27dplkUUWySabbJIf/ehH2W677UQic8Bee+2VTTbZJLfddlsGDRqUoUOH5h//+EcWWGCBrLLKKk1nJerRo0e1R20xvr5/19bWpn379lluueWy2mqrZbvttssGG2xQpelapiFDhmTIkCHNWnbyk2Vm3QorrJBbbrklzz77bB566KEMHjw4w4cPz8iRI9OpU6estNJKWXvttbPxxhtno402Sm2tE4MC07f66qvn9ttvz+WXX55nn302b7zxRjp37pwf/vCH2XPPPbPOOutUe8T50oEHHpinnnoqL7/8cm644YZssMEG2Wyzzao9Fsy01VdfPUsttVSGDx+eH/7wh2nTpk21R5ov/fznP8/DDz+cQYMGVXuUFmGNNdbIww8/nHvuuSePPvpo/vGPf+T1119Pq1at0qNHj6yzzjrp06ePS85QrE033TSPP/547rjjjjzxxBN544038s9//jOdO3fOyiuvnHXWWSfbbrttRowYkdNOOy1XXHFFbr755px++ulNl8FizltuueXSt2/fXHTRRRkyZEguvfTSHHHEEdUeC2aoW7duueGGG/LYY4/lwQcfzOuvv56hQ4emoaEhiy++eNZcc81sv/32nivORT/96U/zu9/9LsmkyxUussgiVZ6oZbjooosyePDgJMlpp52Wbt26TXf5fffdN08//XQGDRqU3/zmN9lggw2y8sorV2JUmC1fPYPZ169+Mz3LLLPM3BgHplDT6Bx7AAAAAADAHPLJJ5/kpptuyi233JIBAwZkueWWq/ZIAADAfEIIBQAAAAAAzHGNjY3TvBwQAADA3OCaKAAAAAAAwBwnggIAACpNCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABRPCAUAAAAAAAAAABTv/wF9FOCakwegYgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 2880x2520 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "charts(model, datasets.keys(), train_scores, test_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f10f22d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "for model, scd in zip(models, datasets.keys()):\n",
    "    file_name = 'F:\\\\models\\\\HistGradientBoostingRegressor_'\n",
    "    pickle_file = open(file_name + scd, 'wb')\n",
    "    pickle.dump(model, pickle_file)\n",
    "    pickle_file.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e1122efa",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Обучение на классе Z: 100%|████████████████████████████████████████████████████████████| 22/22 [02:35<00:00,  7.08s/it]\n"
     ]
    }
   ],
   "source": [
    "model = BaggingRegressor(n_jobs=-4)\n",
    "models, train_scores, test_scores = train_models(model, datasets, metrics)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ff0df34a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2880x2520 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2880x2520 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "charts(model, datasets.keys(), train_scores, test_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "092007c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "for model, scd in zip(models, datasets.keys()):\n",
    "    file_name = 'F:\\\\models\\\\BaggingRegressor_'\n",
    "    pickle_file = open(file_name + scd, 'wb')\n",
    "    pickle.dump(model, pickle_file)\n",
    "    pickle_file.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8f7dee64",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Обучение на классе Z: 100%|█████████████████████████████████████████████████████████| 22/22 [2:15:26<00:00, 369.40s/it]\n"
     ]
    }
   ],
   "source": [
    "model = KNeighborsRegressor(n_jobs=-2)\n",
    "models, train_scores, test_scores = train_models(model, datasets, metrics)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f030dc9c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2880x2520 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2880x2520 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "charts(model, datasets.keys(), train_scores, test_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3d844cb8",
   "metadata": {},
   "outputs": [],
   "source": [
    "for model, scd in zip(models, datasets.keys()):\n",
    "    file_name = 'F:\\\\models\\\\KNeighborsRegressor_'\n",
    "    pickle_file = open(file_name + scd, 'wb')\n",
    "    pickle.dump(model, pickle_file)\n",
    "    pickle_file.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95b8f1b4",
   "metadata": {},
   "source": [
    "# Тестирование моделей"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "44aa9af0",
   "metadata": {},
   "outputs": [],
   "source": [
    "models = {}\n",
    "file_name = 'F:\\\\models\\\\HistGradientBoostingRegressor_'\n",
    "for key in datasets.keys():\n",
    "    with open(file_name + key, \"rb\") as f:\n",
    "        model = pickle.load(f)\n",
    "        models[key] = model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b0b19c0f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Реальное значение: 47, предсказанное: 3.322\n",
      "Реальное значение: 0, предсказанное: -0.076\n",
      "Реальное значение: 1, предсказанное: 1.976\n",
      "Реальное значение: 23, предсказанное: 4.448\n",
      "Реальное значение: 0, предсказанное: 3.56\n",
      "Реальное значение: 19, предсказанное: 1.716\n",
      "Реальное значение: 1, предсказанное: 0.752\n",
      "Реальное значение: 25, предсказанное: 2.386\n",
      "Реальное значение: 87, предсказанное: 4.3\n",
      "Реальное значение: 93, предсказанное: 3.487\n",
      "Реальное значение: 10, предсказанное: 1.966\n",
      "Реальное значение: 68, предсказанное: 3.332\n",
      "Реальное значение: 1, предсказанное: 1.022\n",
      "Реальное значение: 10, предсказанное: 1.66\n",
      "Реальное значение: 41, предсказанное: 1.716\n",
      "Реальное значение: 14, предсказанное: 1.897\n",
      "Реальное значение: 86, предсказанное: 4.452\n",
      "Реальное значение: 23, предсказанное: 2.719\n",
      "Реальное значение: 0, предсказанное: 0.893\n",
      "Реальное значение: 12, предсказанное: 2.065\n",
      "Реальное значение: 31, предсказанное: 2.927\n",
      "Реальное значение: 0, предсказанное: -0.269\n"
     ]
    }
   ],
   "source": [
    "for key in datasets.keys():\n",
    "    example = datasets[key].sample(n=1)\n",
    "    row, target = example.drop(columns=['PASS_BK']), example['PASS_BK']\n",
    "    prediction = models[key].predict(row)\n",
    "    print(f\"Реальное значение: {target.values[0]}, предсказанное: {round(prediction[0], 3)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c2834d32",
   "metadata": {},
   "outputs": [],
   "source": [
    "models = {}\n",
    "file_name = 'F:\\\\models\\\\BaggingRegressor_'\n",
    "for key in datasets.keys():\n",
    "    with open(file_name + key, \"rb\") as f:\n",
    "        model = pickle.load(f)\n",
    "        models[key] = model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "cabf6301",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Реальное значение: 25, предсказанное: 0.1\n",
      "Реальное значение: 10, предсказанное: 2.1\n",
      "Реальное значение: 1, предсказанное: 0.1\n",
      "Реальное значение: 56, предсказанное: 0.7\n",
      "Реальное значение: 0, предсказанное: 0.0\n",
      "Реальное значение: 14, предсказанное: 0.3\n",
      "Реальное значение: 1, предсказанное: 1.0\n",
      "Реальное значение: 13, предсказанное: 0.1\n",
      "Реальное значение: 20, предсказанное: 0.0\n",
      "Реальное значение: 40, предсказанное: 0.5\n",
      "Реальное значение: 26, предсказанное: 0.2\n",
      "Реальное значение: 173, предсказанное: 0.0\n",
      "Реальное значение: 1, предсказанное: 0.0\n",
      "Реальное значение: 29, предсказанное: 0.0\n",
      "Реальное значение: 64, предсказанное: 0.2\n",
      "Реальное значение: 12, предсказанное: 0.4\n",
      "Реальное значение: 21, предсказанное: 0.0\n",
      "Реальное значение: 42, предсказанное: 0.0\n",
      "Реальное значение: 0, предсказанное: 1.4\n",
      "Реальное значение: 20, предсказанное: 1.2\n",
      "Реальное значение: 5, предсказанное: 0.0\n",
      "Реальное значение: 7, предсказанное: 7.0\n"
     ]
    }
   ],
   "source": [
    "for key in datasets.keys():\n",
    "    example = datasets[key].sample(n=1)\n",
    "    row, target = example.drop(columns=['PASS_BK']), example['PASS_BK']\n",
    "    prediction = models[key].predict(row)\n",
    "    print(f\"Реальное значение: {target.values[0]}, предсказанное: {round(prediction[0], 3)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3f67c836",
   "metadata": {},
   "outputs": [],
   "source": [
    "models = {}\n",
    "file_name = 'F:\\\\models\\\\KNeighborsRegressor_'\n",
    "for key in datasets.keys():\n",
    "    with open(file_name + key, \"rb\") as f:\n",
    "        model = pickle.load(f)\n",
    "        models[key] = model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0b1f984b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Реальное значение: 10, предсказанное: 0.0\n",
      "Реальное значение: 15, предсказанное: 0.0\n",
      "Реальное значение: 11, предсказанное: 0.2\n",
      "Реальное значение: 73, предсказанное: 0.6\n",
      "Реальное значение: 0, предсказанное: 0.0\n",
      "Реальное значение: 102, предсказанное: 1.4\n",
      "Реальное значение: 0, предсказанное: 0.0\n",
      "Реальное значение: 22, предсказанное: 0.0\n",
      "Реальное значение: 4, предсказанное: 1.0\n",
      "Реальное значение: 20, предсказанное: 0.0\n",
      "Реальное значение: 10, предсказанное: 0.0\n",
      "Реальное значение: 12, предсказанное: 0.0\n",
      "Реальное значение: 9, предсказанное: 1.2\n",
      "Реальное значение: 1, предсказанное: 0.0\n",
      "Реальное значение: 2, предсказанное: 0.0\n",
      "Реальное значение: 1, предсказанное: 3.0\n",
      "Реальное значение: 23, предсказанное: 0.0\n",
      "Реальное значение: 13, предсказанное: 0.0\n",
      "Реальное значение: 0, предсказанное: 0.0\n",
      "Реальное значение: 11, предсказанное: 3.0\n",
      "Реальное значение: 10, предсказанное: 2.0\n",
      "Реальное значение: 0, предсказанное: 0.0\n"
     ]
    }
   ],
   "source": [
    "for key in datasets.keys():\n",
    "    example = datasets[key].sample(n=1)\n",
    "    row, target = example.drop(columns=['PASS_BK']), example['PASS_BK']\n",
    "    prediction = models[key].predict(row)\n",
    "    print(f\"Реальное значение: {target.values[0]}, предсказанное: {round(prediction[0], 3)}\")"
   ]
  }
 ],
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