{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "19f823a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "from xgboost import XGBClassifier\n",
    "\n",
    "from tqdm import tqdm_notebook\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a55de53f",
   "metadata": {},
   "source": [
    "## Read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "ef89a20c",
   "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>PassengerId</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "      <th>Survived</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>McCarthy, Mr. Timothy J</td>\n",
       "      <td>male</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17463</td>\n",
       "      <td>51.8625</td>\n",
       "      <td>E46</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>719</td>\n",
       "      <td>3</td>\n",
       "      <td>McEvoy, Mr. Michael</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36568</td>\n",
       "      <td>15.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>686</td>\n",
       "      <td>2</td>\n",
       "      <td>Laroche, Mr. Joseph Philippe Lemercier</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>SC/Paris 2123</td>\n",
       "      <td>41.5792</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>74</td>\n",
       "      <td>3</td>\n",
       "      <td>Chronopoulos, Mr. Apostolos</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2680</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>883</td>\n",
       "      <td>3</td>\n",
       "      <td>Dahlberg, Miss. Gerda Ulrika</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7552</td>\n",
       "      <td>10.5167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Pclass                                    Name     Sex   Age  \\\n",
       "0            7       1                 McCarthy, Mr. Timothy J    male  54.0   \n",
       "1          719       3                     McEvoy, Mr. Michael    male   NaN   \n",
       "2          686       2  Laroche, Mr. Joseph Philippe Lemercier    male  25.0   \n",
       "3           74       3             Chronopoulos, Mr. Apostolos    male  26.0   \n",
       "4          883       3            Dahlberg, Miss. Gerda Ulrika  female  22.0   \n",
       "\n",
       "   SibSp  Parch         Ticket     Fare Cabin Embarked  Survived  \n",
       "0      0      0          17463  51.8625   E46        S         0  \n",
       "1      0      0          36568  15.5000   NaN        Q         0  \n",
       "2      1      2  SC/Paris 2123  41.5792   NaN        C         0  \n",
       "3      1      0           2680  14.4542   NaN        C         0  \n",
       "4      0      0           7552  10.5167   NaN        S         0  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('titanic_train.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "287f843c",
   "metadata": {},
   "source": [
    "## Some little data research"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "c8567b46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "plt.hist(df['Age'], bins=30)\n",
    "plt.title('Passengers age distribution')\n",
    "plt.grid(ls=':')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "e862d35d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gtOORJ5b8NoYfvXfJb+N8RERPZnYtdB5H2mr09PS4R2gs2vvQ3ov+PrT3ob0P7X1o71Nie460AQAAAOgIHGnjSNs5K3EVvlLQ3of2XvT3ob0P7X1o70N7nxLbc6QNAAAAQEfgSBtH2s5ZX1+fe4TGor0P7b3o70N7H9r70N6H9j4ltudIW43Z2VmtXr3aPUYj0d6H9l7096G9D+19aO9D+4Utx5G2wXe9oSPbc6TtPA0ODrpHaCza+9Dei/4+tPehvQ/tfWjvU2J7Fm01tm3b5h6hsWjvQ3sv+vvQ3of2PrT3ob1Pie1ZtNWYmJhwj9BYtPehvRf9fWjvQ3sf2vvQ3qfE9izaaqxfv949QmPR3of2XvT3ob0P7X1o70N7nxLbs2ircerUKfcIjUV7H9p70d+H9j6096G9D+19SmzPoq1Gq9Vyj9BYtPehvRf9fWjvQ3sf2vvQ3qfE9izaaqxbt849QmPR3of2XvT3ob0P7X1o70N7nxLbs2ircfToUfcIjUV7H9p70d+H9j6096G9D+19SmzPoq3G1q1b3SM0Fu19aO9Ffx/a+9Deh/Y+tPcpsT2LthoHDx50j9BYtPehvRf9fWjvQ3sf2vvQ3qfE9pGZ7hnU1dWV3d3d7jG+Q6vV0qpVrGsdaO9Dey/6+9Deh/Y+tPeh/cJ2PPLEkt/Gs7/0xo5sHxE9mdm10HmdN20H2bNnj3uExqK9D+296O9Dex/a+9Deh/Y+JbbnSBsAAACAjrAcR9qGH713yW/jfHCk7Tz19PS4R2gs2vvQ3ov+PrT3ob0P7X1o71Nie460AQAAAOgIHGk7zyNtEbE2Ir4YEX0RsTcifqE6fWdEPBURgxHxhxFxaXX6i6qvB6vzd1zUe7OMent73SM0Fu19aO9Ffx/a+9Deh/Y+tPcpsf1Zj7RFREi6PDOnImKNpCcl/ZSkfyHpo5n54Yj4LUl9mfmbEfHjkl6Rme+IiAcl3Z+Z/6juNjr1SBvv6uNDex/ae9Hfh/Y+tPehvQ/tF8a7R57nkbZsm6q+XFN9pKS7JX2kOv19kt5cfX5f9bWq87+3WvgVZ2BgwD1CY9Heh/Ze9PehvQ/tfWjvQ3ufEtsvaokZEZdExB5J45I+JWlI0rHMnK0uckjStdXn10r6qiRV539d0lULXOfDEdEdEd1jY2OamJjQ2NiYRkdHNTk5qaGhIU1PT2vfvn1qtVrfPow594uDvb29arVa2rdvn6anpzU0NKTJyUmNjo5q7vqGh4c1NTWlgYEBzc7Oqq+v73nXMfdvf3+/ZmZmdODAAR0/flwjIyMaHx/XFVdcoZGRER0/flwHDhzQzMyM+vv7F7yOvr4+zc7OamBgQFNTUxoeHu7I+zQ+Pl7Efdq5c+eKu0+lPE5btmxZcfeppMdpy5YtK+4+lfI47dy5c8Xdp1IepyuuuGLF3adSHqfp6ekVd59KeZzm+q+k+3QxHqf7rz+ty1en7t7a0pZ1qbuubunlL2l/3HV1+7S7t7Z0+erU/defliQ9tOv5/z6w87QuXZW6Z1tLV69Nvfaalm64InXrlS3dcVVLGzdu7Mhtr845vRFJRGyQ9DFJ/0bS72Xmrur06yR9MjNvjYgvS7onMw9V5w1JenVmTpzpejv15ZFDQ0O64YYb3GM0Eu19aO9Ffx/a+9Deh/Y+tF/Ycrw88tP/9KaObH/R3vI/M49J+qyk10raEBGrq7O2SRqtPh+VdF11w6slvUTSc+c+tt/GjRvdIzQW7X1o70V/H9r70N6H9j609ymx/WLePfLq6gibIuIySd8n6Wm1F2//sLrY2yV9vPr8seprVed/Jjvh7wqchxMnTrhHaCza+9Dei/4+tPehvQ/tfWjvU2L71We/iLZIel9EXKL2Iu+PMvPxiNgn6cMR8S5JfyXpvdXl3yvp/RExKOmopAeXYO5l0YnvKtMUtPehvRf9fWjvQ3sf2vvQ3qfE9mddtGXmlyTdscDpz0p61QKnn5T0wEWZzmzNmjXuERqL9j6096K/D+19aO9Dex/a+5TYvrxl5jKampo6+4WwJGjvQ3sv+vvQ3of2PrT3ob1Pie1ZtNXYtGmTe4TGor0P7b3o70N7H9r70N6H9j4ltmfRVuPQoUPuERqL9j6096K/D+19aO9Dex/a+5TYnkVbjV27drlHaCza+9Dei/4+tPehvQ/tfWjvU2J7Fm019u7d6x6hsWjvQ3sv+vvQ3of2PrT3ob1Pie2jE/6EWldXV3Z3d7vHAAAAAGC045Enlvw2hh+9d8lv43xERE9mdi10HkfaavT09LhHaCza+9Dei/4+tPehvQ/tfWjvU2J7jrQBAAAA6AgcaeNI2zkrcRW+UtDeh/Ze9PehvQ/tfWjvQ3ufEttzpA0AAABAR+BIG0fazll/f797hMaivQ/tvejvQ3sf2vvQ3of2PiW2Z9FW48Ybb3SP0Fi096G9F/19aO9Dex/a+9Dep8T2LNpqjIyMuEdoLNr70N6L/j6096G9D+19aO9TYnsWbTU2b97sHqGxaO9Dey/6+9Deh/Y+tPehvU+J7Vm01Th27Jh7hMaivQ/tvejvQ3sf2vvQ3of2PiW2Z9FWY+3ate4RGov2PrT3or8P7X1o70N7H9r7lNieRRsAAAAAdDAWbTVOnjzpHqGxaO9Dey/6+9Deh/Y+tPehvU+J7Vm01diwYYN7hMaivQ/tvejvQ3sf2vvQ3of2PiW2Z9FW48iRI+4RGov2PrT3or8P7X1o70N7H9r7lNieRVuN7du3u0doLNr70N6L/j6096G9D+19aO9TYnsWbTX279/vHqGxaO9Dey/6+9Deh/Y+tPehvU+J7SMz3TOoq6sru7u73WMAAAAAMNrxyBNLfhvDj9675LdxPiKiJzO7FjqPI201enp63CM0Fu19aO9Ffx/a+9Deh/Y+tPcpsT1H2gAAAAB0BI60caTtnJW4Cl8paO9Dey/6+9Deh/Y+tPehvU+J7TnSBgAAAKAjcKSNI23nrK+vzz1CY9Heh/Ze9PehvQ/tfWjvQ3ufEttzpK3G7OysVq9e7R6jkWjvQ3sv+vvQ3of2PrT3of3CluNI2+C73tCR7TnSdp4GBwfdIzQW7X1o70V/H9r70N6H9j609ymxPYu2Gtu2bXOP0Fi096G9F/19aO9Dex/a+9Dep8T2LNpqTExMuEdoLNr70N6L/j6096G9D+19aO9TYnsWbTXWr1/vHqGxaO9Dey/6+9Deh/Y+tPehvU+J7Vm01Th16pR7hMaivQ/tvejvQ3sf2vvQ3of2PiW2Z9FWo9VquUdoLNr70N6L/j6096G9D+19aO9TYnsWbTXWrVvnHqGxaO9Dey/6+9Deh/Y+tPehvU+J7Vm01Th69Kh7hMaivQ/tvejvQ3sf2vvQ3of2PiW2Z9FWY+vWre4RGov2PrT3or8P7X1o70N7H9r7lNieRVuNgwcPukdoLNr70N6L/j6096G9D+19aO9TYvvITPcM6urqyu7ubvcY36HVamnVKta1DrT3ob0X/X1o70N7H9r70H5hOx55Yslv49lfemNHto+InszsWui8zpu2g+zZs8c9QmPR3of2XvT3ob0P7X1o70N7nxLbc6QNAAAAQEdYjiNtw4/eu+S3cT440naeenp63CM0Fu19aO9Ffx/a+9Deh/Y+tPcpsT1H2gAAAAB0BI60caTtnPX29rpHaCza+9Dei/4+tPehvQ/tfWjvU2L7sx5pi4jrJP2+pM2SUtJvZ+avRsTPS/qnkv5nddGfzcxPVN/zM5J+VNJpSf9bZv5p3W106pE23tXHh/Y+tPeivw/tfWjvQ3sf2i+Md488/yNts5L+ZWbeLOk1kt4ZETdX5/1KZt5efcwt2G6W9KCkWyTdI+k3IuKSC74XBgMDA+4RGov2PrT3or8P7X1o70N7H9r7lNj+rIu2zBzLzN7q829IelrStTXfcp+kD2fmTGYelDQo6VUXY9jltnPnTvcIjUV7H9p70d+H9j6096G9D+19Smx/TscFI2KHpDskPVWd9BMR8aWI+J2IuLI67VpJX533bYe0wCIvIh6OiO6I6B4bG9PExITGxsY0OjqqyclJDQ0NaXp6Wvv27VOr1fr2a0/n3u2lt7dXrVZL+/bt0/T0tIaGhjQ5OanR0VHNXd/w8LCmpqY0MDCg2dlZ9fX1Pe865v7t7+/XzMyMDhw4oOPHj2tkZETj4+N65plnNDIyouPHj+vAgQOamZlRf3//gtfR19en2dlZDQwMaGpqSsPDwx15n8bHx4u4T4cPH15x96mUx2l4eHjF3aeSHqfh4eEVd59KeZwOHz684u5TKY/TM888s+LuUymP09yvp6yk+1TK49Tb27vi7tPFeJzuv/60Ll+duntrS1vWpe66uqWXv6T9cdfV7dPu3trS5atT919/WpL00K7n//vAztO6dFXqnm0tXb029dprWrrhitStV7Z0x1UtDQ4OduS2V2fR7x4ZEeslfU7SuzPzoxGxWdKE2r/n9ouStmTmj0TEr0v6QmZ+oPq+90r6ZGZ+5EzX3am/0zY5Oakrr7zy7BfERUd7H9p70d+H9j6096G9D+0Xthy/0/ZXP/03O7L9Bb97ZESskfQnkv4gMz8qSZl5JDNPZ2ZL0nv01y+BHJV03bxv31adVpwTJ064R2gs2vvQ3ov+PrT3ob0P7X1o71Ni+7Mu2iIiJL1X0tOZ+cvzTt8y72L3S/py9fljkh6MiBdFxE5JL5P0xYs38vLpxHeVaQra+9Dei/4+tPehvQ/tfWjvU2L71Yu4zN+S9JCk/ojYU532s5LeEhG3q/3yyGFJPyZJmbk3Iv5I0j6133nynZl5+uKOvTzWrFnjHqGxaO9Dey/6+9Deh/Y+tPehvU+J7Rfz7pFPZmZk5ivmv71/Zj6UmbdVp//9zByb9z3vzswbMvPlmfnJpb0LS2dqaso9QmPR3of2XvT3ob0P7X1o70N7nxLbl3dscBlt2rTJPUJj0d6H9l7096G9D+19aO9De58S27Noq3Ho0CH3CI1Fex/ae9Hfh/Y+tPehvQ/tfUpsz6Ktxq5du9wjNBbtfWjvRX8f2vvQ3of2PrT3KbE9i7Yae/fudY/QWLT3ob0X/X1o70N7H9r70N6nxPaL/uPaS6lT/7g2AAAAgOWzHH9ce/jRe5f8Ns7HBf9x7abq6elxj9BYtPehvRf9fWjvQ3sf2vvQ3qfE9hxpAwAAANARONLGkbZzVuIqfKWgvQ/tvejvQ3sf2vvQ3of2PiW250gbAAAAgI7AkTaOtJ2z/v5+9wiNRXsf2nvR34f2PrT3ob0P7X1KbM+ircaNN97oHqGxaO9Dey/6+9Deh/Y+tPehvU+J7Vm01RgZGXGP0Fi096G9F/19aO9Dex/a+9Dep8T2LNpqbN682T1CY9Heh/Ze9PehvQ/tfWjvQ3ufEtuzaKtx7Ngx9wiNRXsf2nvR34f2PrT3ob0P7X1KbM+ircbatWvdIzQW7X1o70V/H9r70N6H9j609ymxPYs2AAAAAOhgLNpqnDx50j1CY9Heh/Ze9PehvQ/tfWjvQ3ufEtuzaKuxYcMG9wiNRXsf2nvR34f2PrT3ob0P7X1KbM+ircaRI0fcIzQW7X1o70V/H9r70N6H9j609ymxPYu2Gtu3b3eP0Fi096G9F/19aO9Dex/a+9Dep8T2LNpq7N+/3z1CY9Heh/Ze9PehvQ/tfWjvQ3ufEttHZrpnUFdXV3Z3d7vHAAAAAGC045Enlvw2hh+9d8lv43xERE9mdi10HkfaavT09LhHaCza+9Dei/4+tPehvQ/tfWjvU2J7jrQBAAAA6AgcaeNI2zkrcRW+UtDeh/Ze9PehvQ/tfWjvQ3ufEttzpA0AAABAR+BIG0fazllfX597hMaivQ/tvejvQ3sf2vvQ3of2PiW250hbjdnZWa1evdo9RiPR3of2XvT3ob0P7X1o70P7hS3HkbbBd72hI9tzpO08DQ4OukdoLNr70N6L/j6096G9D+19aO9TYnsWbTW2bdvmHqGxaO9Dey/6+9Deh/Y+tPehvU+J7Vm01ZiYmHCP0Fi096G9F/19aO9Dex/a+9Dep8T2LNpqrF+/3j1CY9Heh/Ze9PehvQ/tfWjvQ3ufEtuzaKtx6tQp9wiNRXsf2nvR34f2PrT3ob0P7X1KbM+irUar1XKP0Fi096G9F/19aO9Dex/a+9Dep8T2LNpqrFu3zj1CY9Heh/Ze9PehvQ/tfWjvQ3ufEtuzaKtx9OhR9wiNRXsf2nvR34f2PrT3ob0P7X1KbM+ircbWrVvdIzQW7X1o70V/H9r70N6H9j609ymxPYu2GgcPHnSP0Fi096G9F/19aO9Dex/a+9Dep8T2kZnuGdTV1ZXd3d3uMb5Dq9XSqlWsax1o70N7L/r70N6H9j6096H9wnY88sSS38azv/TGjmwfET2Z2bXQeZ03bQfZs2ePe4TGor0P7b3o70N7H9r70N6H9j4ltudIGwAAAICOsBxH2oYfvXfJb+N8cKTtPPX09LhHaCza+9Dei/4+tPehvQ/tfWjvU2J7jrQBAAAA6AgcaeNI2znr7e11j9BYtPehvRf9fWjvQ3sf2vvQ3qfE9hxpq8G7+vjQ3of2XvT3ob0P7X1o70P7hfHuked5pC0irouIz0bEvojYGxE/VZ2+MSI+FREHqn+vrE6PiPi1iBiMiC9FxJ0X9+4sn4GBAfcIjUV7H9p70d+H9j6096G9D+19Smy/mCXmrKR/mZk3S3qNpHdGxM2SHpH06cx8maRPV19L0hslvaz6eFjSb170qZfJzp073SM0Fu19aO9Ffx/a+9Deh/Y+tPcpsf1ZF22ZOZaZvdXn35D0tKRrJd0n6X3Vxd4n6c3V5/dJ+v1s+4KkDRGx5WIPvhwOHz7sHqGxaO9Dey/6+9Deh/Y+tPehvU+J7c/pxZwRsUPSHZKekrQ5M8eqs74maXP1+bWSvjrv2w5Vp73wuh6OiO6I6B4bG9PExITGxsY0OjqqyclJDQ0NaXp6Wvv27VOr1fr2LwzOvUVnb2+vWq2W9u3bp+npaQ0NDWlyclKjo6Oau77h4WFNTU1pYGBAs7Oz6uvre951zP3b39+vmZkZHThwQMePH9fIyIjGx8clSSMjIzp+/LgOHDigmZkZ9ff3L3gdfX19mp2d1cDAgKampjQ8PNyR92l8fLyI+7Rx48YVd59KeZzWrVu34u5TSY/TunXrVtx9KuVx2rhx44q7T6U8TpJW3H0q5XF67rnnVtx9KuVx+vrXv77i7tPFeJzuv/60Ll+duntrS1vWpe66uqWXv6T9cdfV7dPu3trS5atT919/WpL00K7n//vAztO6dFXqnm0tXb029dprWrrhitStV7Z0x1UtrV69uiO3vTqLfiOSiFgv6XOS3p2ZH42IY5m5Yd75k5l5ZUQ8LunRzHyyOv3Tkn46M8/4TiOd+kYko6Ojuvba71hvYhnQ3of2XvT3ob0P7X1o70P7hS3HG5H8+U/e3pHtL/gt/yNijaQ/kfQHmfnR6uQjcy97rP4dr04flXTdvG/fVp1WnE58V5mmoL0P7b3o70N7H9r70N6H9j4ltl/Mu0eGpPdKejozf3neWY9Jenv1+dslfXze6W+r3kXyNZK+Pu9llEVZs2aNe4TGor0P7b3o70N7H9r70N6H9j4ltl/MMvNvSXpI0t0Rsaf6eJOkRyV9X0QckPT3qq8l6ROSnpU0KOk9kn784o+9PKamptwjNBbtfWjvRX8f2vvQ3of2PrT3KbH96rNdoPrdtDjD2d+7wOVT0jsvcK6OsGnTJvcIjUV7H9p70d+H9j6096G9D+19Smxf3gs6l9GhQ4fcIzQW7X1o70V/H9r70N6H9j609ymxPYu2Grt27XKP0Fi096G9F/19aO9Dex/a+9Dep8T2LNpq7N271z1CY9Heh/Ze9PehvQ/tfWjvQ3ufEtsv+u+0LaVO/TttAAAAAJbPcvydtuFH713y2zgfF/x32ppq7q+YY/nR3of2XvT3ob0P7X1o70N7nxLbc6QNAAAAQEfgSBtH2s5ZiavwlYL2PrT3or8P7X1o70N7H9r7lNieI20AAAAAOgJH2jjSds76+/vdIzQW7X1o70V/H9r70N6H9j609ymxPYu2GjfeeKN7hMaivQ/tvejvQ3sf2vvQ3of2PiW2Z9FWY2RkxD1CY9Heh/Ze9PehvQ/tfWjvQ3ufEtuzaKuxefNm9wiNRXsf2nvR34f2PrT3ob0P7X1KbM+ircaxY8fcIzQW7X1o70V/H9r70N6H9j609ymxPYu2GmvXrnWP0Fi096G9F/19aO9Dex/a+9Dep8T2LNoAAAAAoIOxaKtx8uRJ9wiNRXsf2nvR34f2PrT3ob0P7X1KbM+ircaGDRvcIzQW7X1o70V/H9r70N6H9j609ymxPYu2GkeOHHGP0Fi096G9F/19aO9Dex/a+9Dep8T2LNpqbN++3T1CY9Heh/Ze9PehvQ/tfWjvQ3ufEtuzaKuxf/9+9wiNRXsf2nvR34f2PrT3ob0P7X1KbB+Z6Z5BXV1d2d3d7R4DAAAAgNGOR55Y8tsYfvTeJb+N8xERPZnZtdB5HGmr0dPT4x6hsWjvQ3sv+vvQ3of2PrT3ob1Pie050gYAAACgI3CkjSNt56zEVfhKQXsf2nvR34f2PrT3ob0P7X1KbM+RNgAAAAAdgSNtHGk7Z319fe4RGov2PrT3or8P7X1o70N7H9r7lNieI201ZmdntXr1avcYjUR7H9p70d+H9j6096G9D+0XthxH2gbf9YaObM+RtvM0ODjoHqGxaO9Dey/6+9Deh/Y+tPehvU+J7Vm01di2bZt7hMaivQ/tvejvQ3sf2vvQ3of2PiW2Z9FWY2Jiwj1CY9Heh/Ze9PehvQ/tfWjvQ3ufEtuzaKuxfv169wiNRXsf2nvR34f2PrT3ob0P7X1KbM+ircapU6fcIzQW7X1o70V/H9r70N6H9j609ymxPYu2Gq1Wyz1CY9Heh/Ze9PehvQ/tfWjvQ3ufEtuzaKuxbt069wiNRXsf2nvR34f2PrT3ob0P7X1KbM+ircbRo0fdIzQW7X1o70V/H9r70N6H9j609ymxPYu2Glu3bnWP0Fi096G9F/19aO9Dex/a+9Dep8T2LNpqHDx40D1CY9Heh/Ze9PehvQ/tfWjvQ3ufEttHZrpnUFdXV3Z3d7vH+A6tVkurVrGudaC9D+296O9Dex/a+9Deh/YL2/HIE0t+G8/+0hs7sn1E9GRm10Lndd60HWTPnj3uERqL9j6096K/D+19aO9Dex/a+5TYniNtAAAAADrCchxpG3703iW/jfPBkbbz1NPT4x6hsWjvQ3sv+vvQ3of2PrT3ob1Pie050gYAAACgI3CkjSNt56y3t9c9QmPR3of2XvT3ob0P7X1o70N7nxLbc6StBu/q40N7H9p70d+H9j6096G9D+0XxrtHcqTtnA0MDLhHaCza+9Dei/4+tPehvQ/tfWjvU2L7sy7aIuJ3ImI8Ir4877Sfj4jRiNhTfbxp3nk/ExGDEfFMRLxhqQZfDjt37nSP0Fi096G9F/19aO9Dex/a+9Dep8T2iznS9nuS7lng9F/JzNurj09IUkTcLOlBSbdU3/MbEXHJxRp2uR0+fNg9QmPR3of2XvT3ob0P7X1o70N7nxLbn3XRlpmfl3R0kdd3n6QPZ+ZMZh6UNCjpVRcwn9XGjRvdIzQW7X1o70V/H9r70N6H9j609ymx/YX8TttPRMSXqpdPXlmddq2kr867zKHqtO8QEQ9HRHdEdI+NjWliYkJjY2MaHR3V5OSkhoaGND09rX379qnVan37XV7m/q5Cb2+vWq2W9u3bp+npaQ0NDWlyclKjo6Oau77h4WFNTU1pYGBAs7Oz6uvre951zP3b39+vmZkZHThwQMePH9fIyIjGx8c1NjamkZERHT9+XAcOHNDMzIz6+/sXvI6+vj7Nzs5qYGBAU1NTGh4e7sj7ND4+XsR9OnHixIq7T6U8TseOHVtx96mkx+nYsWMr7j6V8jidOHFixd2nUh6nsbGxFXefSnmcnn766RV3n0p5nPbv37/i7tPFeJzuv/60Ll+duntrS1vWpe66uqWXv6T9cdfV7dPu3trS5atT919/WpL00K7n//vAztO6dFXqnm0tXb029dprWrrhitStV7Z0x1UtjY+Pd+S2V2dR7x4ZETskPZ6Zt1Zfb5Y0ISkl/aKkLZn5IxHx65K+kJkfqC73XkmfzMyP1F1/p7575NjYmLZs2eIeo5Fo70N7L/r70N6H9j6096H9wpbj3SP/4qfu7Mj2F/3dIzPzSGaezsyWpPfor18COSrpunkX3VadVqQ1a9a4R2gs2vvQ3ov+PrT3ob0P7X1o71Ni+/NatEXE/KXp/ZLm3lnyMUkPRsSLImKnpJdJ+uKFjegzNTXlHqGxaO9Dey/6+9Deh/Y+tPehvU+J7Vef7QIR8SFJr5O0KSIOSfo5Sa+LiNvVfnnksKQfk6TM3BsRfyRpn6RZSe/MzNNLMvky2LRpk3uExqK9D+296O9Dex/a+9Deh/Y+JbZfzLtHviUzt2TmmszclpnvzcyHMvO2zHxFZv79zBybd/l3Z+YNmfnyzPzk0o6/tA4dOuQeobFo70N7L/r70N6H9j6096G9T4ntL+TdI1e8Xbt2uUdoLNr70N6L/j6096G9D+19aO9TYnsWbTX27t3rHqGxaO9Dey/6+9Deh/Y+tPehvU+J7Rf1lv9LrVPf8h8AAADA8lmOt/wffvTeJb+N83HR3/K/Keb+IB6WH+19aO9Ffx/a+9Deh/Y+tPcpsT1H2gAAAAB0BI60caTtnJW4Cl8paO9Dey/6+9Deh/Y+tPehvU+J7TnSBgAAAKAjcKSNI23nrL+/3z1CY9Heh/Ze9PehvQ/tfWjvQ3ufEtuzaKtx4403ukdoLNr70N6L/j6096G9D+19aO9TYnsWbTVGRkbcIzQW7X1o70V/H9r70N6H9j609ymx/Wr3AJ3sbR96RmMn9i/57XTq62qdNm/e7B6hsWjvRX8f2vvQ3of2PrT3KbE9R9pqbLvc/yYtTXXs2DH3CI1Fey/6+9Deh/Y+tPehvU+J7Vm01Tj+LfcEzbV27Vr3CI1Fey/6+9Deh/Y+tPehvU+J7Vm0AQAAAEAHY9FW48WXuidorpMnT7pHaCzae9Hfh/Y+tPehvQ/tfUpsz6KtxqFvhnuExtqwYYN7hMaivRf9fWjvQ3sf2vvQ3qfE9izaanzXBt6IxOXIkSPuERqL9l7096G9D+19aO9De58S27Noq/HUOEfaXLZv3+4eobFo70V/H9r70N6H9j609ymxPYu2Gq+/tuUeobH271/6v4+HhdHei/4+tPehvQ/tfWjvU2J7Fm01PvaVS9wjNNZtt93mHqGxaO9Ffx/a+9Deh/Y+tPcpsT2LthoP7TrtHqGxenp63CM0Fu296O9Dex/a+9Deh/Y+JbZf7R6gk71/kCNtLrt373aP0Fi096K/z//yx1+T/viJJb2N4UfvXdLrLxXbvQ/tfWjvU2J7jrTV4EibT4nPgKwUtPeivw/7fB+2ex/a+9Dep8T2LNpqcKTNp8RnQFYK2nvR34d9vg/bvQ/tfWjvU2J7Fm01HtjJs64ufX197hEai/Ze9Pdhn+/Ddu9Dex/a+5TYnkVbjY9/hTwut9xyi3uExqK9F/192Of7sN370N6H9j4ltucnVI27t6Z7hMYaHBx0j9BYtPeivw/7fB+2ex/a+9Dep8T2LNpq9EyEe4TG2rZtm3uExqK9F/192Of7sN370N6H9j4ltmfRVmPXi3nW1WViYsI9QmPR3ov+PuzzfdjufWjvQ3ufEtuzaKsxPs2zri7r1693j9BYtPeivw/7fB+2ex/a+9Dep8T2LNpqXLaaZ11dTp065R6hsWjvRX8f9vk+bPc+tPehvU+J7Vm01VhDHZtWq+UeobFo70V/H/b5Pmz3PrT3ob1Pie35EVXjuRleKuOybt069wiNRXsv+vuwz/dhu/ehvQ/tfUpsz6Ktxo71vFTG5ejRo+4RGov2XvT3YZ/vw3bvQ3sf2vuU2J5FW40vHeVZV5etW7e6R2gs2nvR34d9vg/bvQ/tfWjvU2J7Fm01vvul5b3edaU4ePCge4TGor0X/X3Y5/uw3fvQ3of2PiW2Z9FW4xMj5HG56aab3CM0Fu296O/DPt+H7d6H9j609ymxPT+hajx4A8+6uuzZs8c9QmPR3ov+PuzzfdjufWjvQ3ufEtuzaKvxwaFL3CM01p133ukeobFo70V/H/b5Pmz3PrT3ob1Pie1ZtNX44V2n3SM0Vk9Pj3uExqK9F/192Of7sN370N6H9j4ltmfRVuMDgzzr6rJ79273CI1Fey/6+7DP92G796G9D+19SmzPoq3GW2/gWVeX3t5e9wiNRXsv+vuwz/dhu/ehvQ/tfUpsz6KtxoeHyONy++23u0doLNp70d+Hfb4P270P7X1o71Nie35C1XjTdt5JzGVgYMA9QmPR3ov+PuzzfdjufWjvQ3ufEtuzaKvx5NfI47Jz5073CI1Fey/6+7DP92G796G9D+19Smx/1p9QEfE7ETEeEV+ed9rGiPhURByo/r2yOj0i4tciYjAivhQR5b2f5jyv2JjuERrr8OHD7hEai/Ze9Pdhn+/Ddu9Dex/a+5TYfjFPK/6epHtecNojkj6dmS+T9Onqa0l6o6SXVR8PS/rNizOmx/BUuEdorI0bN7pHaCzae9Hfh32+D9u9D+19aO9TYvuzLtoy8/OSjr7g5Pskva/6/H2S3jzv9N/Pti9I2hARWy7SrMvuqhfxrKvLiRMn3CM0Fu296O/DPt+H7d6H9j609ymx/fm+gH9zZo5Vn39N0ubq82slfXXe5Q5Vp32HiHg4IrojontsbEwTExMaGxvT6OioJicnNTQ0pOnpae3bt0+tVuvbb80598fwent71Wq1tG/fPk1PT2toaEiTk5MaHR3V3PUNDw9rampKAwMDmp2dVV9f3/OuY+7f/v5+zczM6MCBAzp+/LhGRkY0Pj6ua9am7rq6pS3rUndvbeny1an7r2+/JfRDu57/7wM7T+vSVal7trV09drUa69p6YYrUrde2dIdV7W0fX3qe17a0oZLU9+//bRWKb/99tLLeZ/Gx8c1MjKi48eP68CBA5qZmVF/f/+C19HX16fZ2VkNDAxoampKw8PDy/Y4rVq1asXdp1Iep1OnTq24+1TS43Tq1KkVd59KeZxOtS5sXz73x7nfekP79O/fflobLm1ffvv61B1XtXicznCfvvGNb6y4+1TK4zQyMrLi7lMpj9Po6OiKu08X43G6//rTunx1+/+9t6xr/7/4y1/S/rhY/19+4sSJjtz26kTm2Z9ZjIgdkh7PzFurr49l5oZ5509m5pUR8bikRzPzyer0T0v66czsrrv+rq6u7O6uvYjF9777cQ19Y+lfLjP86L1LfhulmZiY0KZNm9xjNBLtvejvsxz7fPb3C2O796G9D+0XtuORJ5b8Nrr/91d3ZPuI6MnMroXOO98jbUfmXvZY/TtenT4q6bp5l9tWnVakay7jpTIuU1NT7hEai/Ze9Pdhn+/Ddu9Dex/a+5TY/nwXbY9Jenv1+dslfXze6W+r3kXyNZK+Pu9llMUZPM4vpbt04rMfTUF7L/r7sM/3Ybv3ob0P7X1KbL+Yt/z/kKS/kPTyiDgUET8q6VFJ3xcRByT9veprSfqEpGclDUp6j6QfX5Kpl8nuTTzr6nLo0CH3CI1Fey/6+7DP92G796G9D+19Smy/+mwXyMy3nOGs713gsinpnRc6VKf4zGGedXXZtWuXe4TGor0X/X3Y5/uw3fvQ3of2PiW2P9+XRzbCfde33CM01t69e90jNBbtvejvwz7fh+3eh/Y+tPcpsT2Lthp/fPAS9wiN9cpXvtI9QmPR3ov+PuzzfdjufWjvQ3ufEtuzaKsx97cesPzm/q4Flh/tvejvwz7fh+3eh/Y+tPcpsT2LthrvH+RZV5fdu3e7R2gs2nvR34d9vg/bvQ/tfWjvU2J7Fm01eNbVp8RnQFYK2nvR34d9vg/bvQ/tfWjvU2J7Fm01eNbVp8RnQFYK2nvR34d9vg/bvQ/tfWjvU2J7Fm017r+eZ11d+vv73SM0Fu296O/DPt+H7d6H9j609ymxPYu2Gn82Sh6XG2+80T1CY9Hei/4+7PN92O59aO9De58S2/MTqsarr0n3CI01MjLiHqGxaO9Ffx/2+T5s9z6096G9T4ntWbTVePpYuEdorM2bN7tHaCzae9Hfh32+D9u9D+19aO9TYnsWbTW2Xc6zri7Hjh1zj9BYtPeivw/7fB+2ex/a+9Dep8T2LNpqHP+We4LmWrt2rXuExqK9F/192Of7sN370N6H9j4ltmfRBgAAAAAdjEVbjRdf6p6guU6ePOkeobFo70V/H/b5Pmz3PrT3ob1Pie1ZtNU49E1+Kd1lw4YN7hEai/Ze9Pdhn+/Ddu9Dex/a+5TYnkVbje/awC+luxw5csQ9QmPR3ov+PuzzfdjufWjvQ3ufEtuzaKvx1DjPurps377dPUJj0d6L/j7s833Y7n1o70N7nxLbs2ir8fprW+4RGmv//v3uERqL9l7092Gf78N270N7H9r7lNieRVuNj33lEvcIjXXbbbe5R2gs2nvR34d9vg/bvQ/tfWjvU2J7Fm01Htp12j1CY/X09LhHaCzae9Hfh32+D9u9D+19aO9TYnsWbTXeP8izri67d+92j9BYtPeivw/7fB+2ex/a+9Dep8T2LNpq8KyrT4nPgKwUtPeivw/7fB+2ex/a+9Dep8T2LNpq8KyrT4nPgKwUtPeivw/7fB+2ex/a+9Dep8T2LNpqPLCTZ11d+vr63CM0Fu296O/DPt+H7d6H9j609ymxPYu2Gh//CnlcbrnlFvcIjUV7L/r7sM/3Ybv3ob0P7X1KbM9PqBp3b033CI01ODjoHqGxaO9Ffx/2+T5s9z6096G9T4ntWbTV6JkI9wiNtW3bNvcIjUV7L/r7sM/3Ybv3ob0P7X1KbM+ircauF/Osq8vExIR7hMaivRf9fdjn+7Dd+9Deh/Y+JbZn0VZjfJpnXV3Wr1/vHqGxaO9Ffx/2+T5s9z6096G9T4ntWbTVuGw1z7q6nDp1yj1CY9Hei/4+7PN92O59aO9De58S27Noq7GGOjatVss9QmPR3ov+PuzzfdjufWjvQ3ufEtvzI6rGczO8VMZl3bp17hEai/Ze9Pdhn+/Ddu9Dex/a+5TYnkVbjR3reamMy9GjR90jNBbtvejvwz7fh+3eh/Y+tPcpsT2LthpfOsqzri5bt251j9BYtPeivw/7fB+2ex/a+9Dep8T2LNpqfPdLy3u960px8OBB9wiNRXsv+vuwz/dhu/ehvQ/tfUpsz6KtxidGyONy0003uUdoLNp70d+Hfb4P270P7X1o71Nie35C1XjwBp51ddmzZ497hMaivRf9fdjn+7Dd+9Deh/Y+JbZn0Vbjg0OXuEdorDvvvNM9QmPR3ov+PuzzfdjufWjvQ3ufEtuzaKvxw7tOu0dorJ6eHvcIjUV7L/r7sM/3Ybv3ob0P7X1KbM+ircYHBnnW1WX37t3uERqL9l7092Gf78N270N7H9r7lNieRVuNt97As64uvb297hEai/Ze9Pdhn+/Ddu9Dex/a+5TYnkVbjQ8Pkcfl9ttvd4/QWLT3or8P+3wftnsf2vvQ3qfE9vyEqvGm7byTmMvAwIB7hMaivRf9fdjn+7Dd+9Deh/Y+JbZn0Vbjya+Rx2Xnzp3uERqL9l7092Gf78N270N7H9r7lNien1A1XrEx3SM01uHDh90jNBbtvejvwz7fh+3eh/Y+tPcpsf3qC/nmiBiW9A1JpyXNZmZXRGyU9IeSdkgalvSDmTl5YWN6DE+Fe4TG2rhxo3uExqK9F/192Of7sN370N6H9j4ltr8YR9r+bmbenpld1dePSPp0Zr5M0qerr4t01Yt41tXlxIkT7hEai/Ze9Pdhn+/Ddu9Dex/a+5TYfileHnmfpPdVn79P0puX4DaWxSl+J91m1SpeuetCey/6+7DP92G796G9D+19Smx/oROnpD+LiJ6IeLg6bXNmjlWff03S5oW+MSIejojuiOgeGxvTxMSExsbGNDo6qsnJSQ0NDWl6elr79u1Tq9X69t9TmPsL5r29vWq1Wtq3b5+mp6c1NDSkyclJjY6Oau76hoeHNTU1pYGBAc3Ozqqvr+951zH3b39/v2ZmZnTgwAEdP35cIyMjGh8f19VrpbuubmnLutTdW1u6fHXq/uvbf8fnoV3P//eBnad16arUPdtaunpt6rXXtHTDFalbr2zpjqta2r4+9T0vbWnDpanv335aq5Tf/ptAy3mfxsfHNTIyouPHj+vAgQOamZlRf3//gtfR19en2dlZDQwMaGpqSsPDw8v2OK1Zs2bF3adSHqdWq7Xi7lNJj9P8x2Gl3KdSHqfp2bigffkPVz8P3npD+/Tv335aGy5tX377+tQdV7V4nM5wn6amplbcfSrlcRoZGVlx96mUx2l0dHTF3aeL8Tjdf/1pXb66/f/eW9al7rq6pZe/pP1xsf6//OTJkx257dWJzPN/OUhEXJuZoxFxjaRPSfpJSY9l5oZ5l5nMzCvrrqerqyu7u7vPe46l8pZf/i/6i/GlX4kPP3rvkt9GaYaHh7Vjxw73GI1Eey/6+yzHPp/9/cLY7n1o70P7he145Iklv43/9o5bOrJ9RPTM+5Wz57mgn06ZOVr9Oy7pY5JeJelIRGypbniLpPELuQ2nweP8UrrLpk2b3CM0Fu296O/DPt+H7d6H9j609ymx/Xkv2iLi8oi4Yu5zSa+X9GVJj0l6e3Wxt0v6+IUO6bJ7E7+U7nLo0CH3CI1Fey/6+7DP92G796G9D+19Smx/IW/5v1nSxyJi7no+mJn/NSL+UtIfRcSPSvqKpB+88DE9PnOYZ11ddu3a5R6hsWjvRX8f9vk+bPc+tPehvU+J7c/7SFtmPpuZr6w+bsnMd1enP5eZ35uZL8vMv5eZRy/euMvrvut5KzGXvXv3ukdoLNp70d+Hfb4P270P7X1o71Ni+/Le73IZ/fHBS9wjNNYrX/lK9wiNRXsv+vuwz/dhu/ehvQ/tfUpsz6KtxtzbhmL5zb1FKpYf7b3o78M+34ft3of2PrT3KbE9i7Ya7x/kWVeX3bt3u0doLNp70d+Hfb4P270P7X1o71NiexZtNXjW1afEZ0BWCtp70d+Hfb4P270P7X1o71NiexZtNXjW1afEZ0BWCtp70d+Hfb4P270P7X1o71NiexZtNe6/nmddXfr7+90jNBbtvejvwz7fh+3eh/Y+tPcpsT2Lthp/NkoelxtvvNE9QmPR3ov+PuzzfdjufWjvQ3ufEtvzE6rGq69J9wiNNTIy4h6hsWjvRX8f9vk+bPc+tPehvU+J7Vm01Xj6WLhHaKzNmze7R2gs2nvR34d9vg/bvQ/tfWjvU2J7Fm01tl3Os64ux44dc4/QWLT3or8P+3wftnsf2vvQ3qfE9izaahz/lnuC5lq7dq17hMaivRf9fdjn+7Dd+9Deh/Y+JbZn0QYAAAAAHYxFW40XX+qeoLlOnjzpHqGxaO9Ffx/2+T5s9z6096G9T4ntWbTVOPRNfindZcOGDe4RGov2XvT3YZ/vw3bvQ3sf2vuU2J5FW43v2sAvpbscOXLEPUJj0d6L/j7s833Y7n1o70N7nxLbs2ir8dQ4z7q6bN++3T1CY9Hei/4+7PN92O59aO9De58S27Noq/H6a1vuERpr//797hEai/Ze9Pdhn+/Ddu9Dex/a+5TYnkVbjY995RL3CI112223uUdoLNp70d+Hfb4P270P7X1o71NiexZtNR7addo9QmP19PS4R2gs2nvR34d9vg/bvQ/tfWjvU2J7Fm013j/Is64uu3fvdo/QWLT3or8P+3wftnsf2vvQ3qfE9izaavCsq0+Jz4CsFLT3or8P+3wftnsf2vvQ3qfE9izaavCsq0+Jz4CsFLT3or8P+3wftnsf2vvQ3qfE9izaajywk2ddXfr6+twjNBbtvejvwz7fh+3eh/Y+tPcpsT2Lthof/wp5XG655Rb3CI1Fey/6+7DP92G796G9D+19SmzPT6gad29N9wiNNTg46B6hsWjvRX8f9vk+bPc+tPehvU+J7Vm01eiZCPcIjbVt2zb3CI1Fey/6+7DP92G796G9D+19SmzPoq3GrhfzrKvLxMSEe4TGor0X/X3Y5/uw3fvQ3of2PiW2Z9FWY3yaZ11d1q9f7x6hsWjvRX8f9vk+bPc+tPehvU+J7Vm01bhsNc+6upw6dco9QmPR3ov+PuzzfdjufWjvQ3ufEtuzaKuxhjo2rVbLPUJj0d6L/j7s833Y7n1o70N7nxLb8yOqxnMzvFTGZd26de4RGov2XvT3YZ/vw3bvQ3sf2vuU2J5FW40d63mpjMvRo0fdIzQW7b3o78M+34ft3of2PrT3KbE9i7YaXzrKs64uW7dudY/QWLT3or8P+3wftnsf2vvQ3qfE9izaanz3S8t7vetKcfDgQfcIjUV7L/r7sM/3Ybv3ob0P7X1KbM+ircYnRsjjctNNN7lHaCzae9Hfh32+D9u9D+19aO9TYnt+QtV48AaedXXZs2ePe4TGor0X/X3Y5/uw3fvQ3of2PiW2Z9FW44NDl7hHaKw777zTPUJj0d6L/j7s833Y7n1o70N7nxLbs2ir8cO7TrtHaKyenh73CI1Fey/6+7DP92G796G9D+19SmzPoq3GBwZ51tVl9+7d7hEai/Ze9Pdhn+/Ddu9Dex/a+5TYnkVbjbfewLOuLr29ve4RGov2XvT3YZ/vw3bvQ3sf2vuU2J5FW40PD5HH5fbbb3eP0Fi096K/D/t8H7Z7H9r70N6nxPb8hKrxpu28k5jLwMCAe4TGor0X/X3Y5/uw3fvQ3of2PiW2Z9FW48mvkcdl586d7hEai/Ze9Pdhn+/Ddu9Dex/a+5TYnp9QNV6xMd0jNNbhw4fdIzQW7b3o78M+34ft3of2PrT3KbE9i7Yaw1PhHqGxNm7c6B6hsWjvRX8f9vk+bPc+tPehvU+J7Zds0RYR90TEMxExGBGPLNXtLKWrXsSzri4nTpxwj9BYtPeivw/7fB+2ex/a+9Dep8T2S7Joi4hLJP1HSW+UdLOkt0TEzUtxW0vpFL+TbrNqFQeBXWjvRX8f9vk+bPc+tPehvU+J7Zdq4ldJGszMZzPzW5I+LOm+JbqtJTM9y0tlXNasWeMeobFo70V/H/b5Pmz3PrT3ob1Pie1XL9H1Xivpq/O+PiTp1fMvEBEPS3q4+nIqIp5ZolkuxCZJE0t9I/EflvoWirQs7bEg2nvR32fJ27O/PyO2ex/a+9De5Or/0LHtrz/TGUu1aDurzPxtSb/tuv3FiIjuzOxyz9FEtPehvRf9fWjvQ3sf2vvQ3qfE9kv18shRSdfN+3pbdRoAAAAA4Bws1aLtLyW9LCJ2RsSlkh6U9NgS3RYAAAAArFhL8vLIzJyNiJ+Q9KeSLpH0O5m5dylua4l19Ms3Vzja+9Dei/4+tPehvQ/tfWjvU1z7yOTv0gAAAABApyrvjxQAAAAAQIOwaAMAAACADtbIRVtE/E5EjEfEl89wfkTEr0XEYER8KSLunHfe2yPiQPXx9uWbemVYRPsfqpr3R8T/iIhXzjtvuDp9T0R0L9/UK8Mi2r8uIr5e9d0TEf923nn3RMQz1X8Tjyzf1CvHIvr/q3ntvxwRpyNiY3Ue2/55iojrIuKzEbEvIvZGxE8tcBn2+Utgke3Z5y+RRfZnv78EFtmeff4SiIi1EfHFiOir2v/CApd5UUT8YbVtPxURO+ad9zPV6c9ExBuWdfizyczGfUj6Hkl3SvryGc5/k6RPSgpJr5H0VHX6RknPVv9eWX1+pfv+lPSxiPZ/c66ppDfOta++Hpa0yX0fSv1YRPvXSXp8gdMvkTQk6W9IulRSn6Sb3fentI+z9X/BZX9A0mfmfc22f/7dt0i6s/r8Ckn7X7j9ss+3tmef7+3Pft/U/gWXZ59/8dqHpPXV52skPSXpNS+4zI9L+q3q8wcl/WH1+c3Vtv4iSTur/wYucd+nuY9GHmnLzM9LOlpzkfsk/X62fUHShojYIukNkj6VmUczc1LSpyTds/QTrxxna5+Z/6NqK0lfUPtv/OEiWMR2fyavkjSYmc9m5rckfVjt/0ZwDs6x/1skfWgJx2mMzBzLzN7q829IelrStS+4GPv8JbCY9uzzl84it/0zYb9/Ac6jPfv8i6Taj09VX66pPl74rov3SXpf9flHJH1vRER1+oczcyYzD0oaVPu/hY7QyEXbIlwr6avzvj5UnXam07E0flTtZ7/npKQ/i4ieiHjYNNNK99rqJQWfjIhbqtPY7pdRRKxTe2HwJ/NOZtu/CKqXwNyh9jOv87HPX2I17edjn79EztKf/f4SOtu2zz7/4ouISyJij6RxtZ94O+M+PzNnJX1d0lXq8O1+Sf5OG3ChIuLvqv0D/LvnnfzdmTkaEddI+lREDFRHL3Bx9Eq6PjOnIuJNkv6zpJd5R2qkH5D055k5/6gc2/4Fioj1av9P0T/PzOPueZpkMe3Z5y+ds/Rnv7+EFrnfYZ9/kWXmaUm3R8QGSR+LiFszc8HfJy8JR9oWNirpunlfb6tOO9PpuIgi4hWS/j9J92Xmc3OnZ+Zo9e+4pI+pgw5ZrwSZeXzuJQWZ+QlJayJik9jul9uDesHLZNj2L0xErFH7f5z+IDM/usBF2OcvkUW0Z5+/hM7Wn/3+0lnMtl9hn79EMvOYpM/qO1/W/u3tOyJWS3qJpOfU4ds9i7aFPSbpbdU7ir1G0tczc0zSn0p6fURcGRFXSnp9dRoukojYLumjkh7KzP3zTr88Iq6Y+1zt9sU/a9JJIuKl1Wu6FRGvUnv/8Jykv5T0sojYGRGXqv0D5jHfpCtXRLxE0t+R9PF5p7HtX4Bqm36vpKcz85fPcDH2+UtgMe3Z5y+dRfZnv78EFrnfYZ+/BCLi6uoImyLiMknfJ2ngBRd7TNLcuwH/Q7XfBCar0x+s3l1yp9pHnb+4LIMvQiNfHhkRH1L7HZM2RcQhST+n9i8qKjN/S9In1H43sUFJJyT9k+q8oxHxi2rvzCTp373gcDbOYhHt/63aryv+jernyGxmdknarPYhbqm93X4wM//rst+Bgi2i/T+U9M8iYlbStKQHq53YbET8hNr/s3qJpN/JzL2Gu1C0RfSXpPsl/VlmfnPet7LtX5i/JekhSf3V7zhI0s9K2i6xz19ii2nPPn/pLKY/+/2lsZj2Evv8pbBF0vsi4hK1n4T4o8x8PCL+naTuzHxM7QX1+yNiUO03CHtQkjJzb0T8kaR9kmYlvbN6qWVHiPZ/mwAAAACATsTLIwEAAACgg7FoAwAAAIAOxqINAAAAADoYizYAAAAA6GAs2gAAAACgg7FoAwAAAIAOxqINAAAAADrY/w9tkqFOE8veMgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "plt.hist(df['Pclass'], bins=30)\n",
    "plt.title('Passengers class distribution')\n",
    "plt.grid(ls=':')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "5d2e55d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 4))\n",
    "plt.scatter(df['Age'], df['Survived'], alpha=0.1)\n",
    "plt.title('Passengers of which age survived?')\n",
    "plt.grid(ls=':')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "878265b3",
   "metadata": {},
   "source": [
    "### Build some features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8ac4c0f",
   "metadata": {},
   "source": [
    "### Convert sex to integer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "4fb21d2f",
   "metadata": {
    "scrolled": true
   },
   "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>PassengerId</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Sex_int</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>McCarthy, Mr. Timothy J</td>\n",
       "      <td>male</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17463</td>\n",
       "      <td>51.8625</td>\n",
       "      <td>E46</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>719</td>\n",
       "      <td>3</td>\n",
       "      <td>McEvoy, Mr. Michael</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36568</td>\n",
       "      <td>15.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>686</td>\n",
       "      <td>2</td>\n",
       "      <td>Laroche, Mr. Joseph Philippe Lemercier</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>SC/Paris 2123</td>\n",
       "      <td>41.5792</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>74</td>\n",
       "      <td>3</td>\n",
       "      <td>Chronopoulos, Mr. Apostolos</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2680</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>883</td>\n",
       "      <td>3</td>\n",
       "      <td>Dahlberg, Miss. Gerda Ulrika</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7552</td>\n",
       "      <td>10.5167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Pclass                                    Name     Sex   Age  \\\n",
       "0            7       1                 McCarthy, Mr. Timothy J    male  54.0   \n",
       "1          719       3                     McEvoy, Mr. Michael    male   NaN   \n",
       "2          686       2  Laroche, Mr. Joseph Philippe Lemercier    male  25.0   \n",
       "3           74       3             Chronopoulos, Mr. Apostolos    male  26.0   \n",
       "4          883       3            Dahlberg, Miss. Gerda Ulrika  female  22.0   \n",
       "\n",
       "   SibSp  Parch         Ticket     Fare Cabin Embarked  Survived  Sex_int  \n",
       "0      0      0          17463  51.8625   E46        S         0        0  \n",
       "1      0      0          36568  15.5000   NaN        Q         0        0  \n",
       "2      1      2  SC/Paris 2123  41.5792   NaN        C         0        0  \n",
       "3      1      0           2680  14.4542   NaN        C         0        0  \n",
       "4      0      0           7552  10.5167   NaN        S         0        1  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Sex_int'] = df['Sex'].apply(lambda x: 0 if x == 'male' else 1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c43c4c5",
   "metadata": {},
   "source": [
    "### Do some kind of mean encoding for \"Embarked\" feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "57bb6235",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "S      437\n",
       "C      105\n",
       "Q       53\n",
       "NaN      1\n",
       "Name: Embarked, dtype: int64"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Embarked'].value_counts(dropna=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "50b5108a",
   "metadata": {},
   "outputs": [],
   "source": [
    "embarked_cnt = {}\n",
    "embarked_won = {}\n",
    "for embarked_type in set(df['Embarked']):\n",
    "    embarked_cnt[embarked_type] = 0\n",
    "    embarked_won[embarked_type] = 0\n",
    "for i in range(len(df)):\n",
    "    embarked_type = df.iloc[i]['Embarked']\n",
    "    embarked_cnt[embarked_type] += 1\n",
    "    if df.iloc[i]['Survived'] == 1:\n",
    "        embarked_won[embarked_type] += 1\n",
    "embarked_int = {}\n",
    "for embarked_type in set(df['Embarked']):\n",
    "    if embarked_won[embarked_type] * 2 >= embarked_cnt[embarked_type]:\n",
    "        embarked_int[embarked_type] = 1\n",
    "    else:\n",
    "        embarked_int[embarked_type] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "237fafb1",
   "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>PassengerId</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Sex_int</th>\n",
       "      <th>Embarked_int</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>McCarthy, Mr. Timothy J</td>\n",
       "      <td>male</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17463</td>\n",
       "      <td>51.8625</td>\n",
       "      <td>E46</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>719</td>\n",
       "      <td>3</td>\n",
       "      <td>McEvoy, Mr. Michael</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36568</td>\n",
       "      <td>15.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>686</td>\n",
       "      <td>2</td>\n",
       "      <td>Laroche, Mr. Joseph Philippe Lemercier</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>SC/Paris 2123</td>\n",
       "      <td>41.5792</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>74</td>\n",
       "      <td>3</td>\n",
       "      <td>Chronopoulos, Mr. Apostolos</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2680</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>883</td>\n",
       "      <td>3</td>\n",
       "      <td>Dahlberg, Miss. Gerda Ulrika</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7552</td>\n",
       "      <td>10.5167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Pclass                                    Name     Sex   Age  \\\n",
       "0            7       1                 McCarthy, Mr. Timothy J    male  54.0   \n",
       "1          719       3                     McEvoy, Mr. Michael    male   NaN   \n",
       "2          686       2  Laroche, Mr. Joseph Philippe Lemercier    male  25.0   \n",
       "3           74       3             Chronopoulos, Mr. Apostolos    male  26.0   \n",
       "4          883       3            Dahlberg, Miss. Gerda Ulrika  female  22.0   \n",
       "\n",
       "   SibSp  Parch         Ticket     Fare Cabin Embarked  Survived  Sex_int  \\\n",
       "0      0      0          17463  51.8625   E46        S         0        0   \n",
       "1      0      0          36568  15.5000   NaN        Q         0        0   \n",
       "2      1      2  SC/Paris 2123  41.5792   NaN        C         0        0   \n",
       "3      1      0           2680  14.4542   NaN        C         0        0   \n",
       "4      0      0           7552  10.5167   NaN        S         0        1   \n",
       "\n",
       "   Embarked_int  \n",
       "0             0  \n",
       "1             0  \n",
       "2             1  \n",
       "3             1  \n",
       "4             0  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Embarked_int'] = df['Embarked'].apply(lambda x: embarked_int[x])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11328008",
   "metadata": {},
   "source": [
    "### Fix NaN ages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "e4f406d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_age = np.mean(df['Age'])\n",
    "df['Age'] = df['Age'].fillna(mean_age)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efe53c27",
   "metadata": {},
   "source": [
    "## Build simple models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "af777004",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PassengerId', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp', 'Parch',\n",
       "       'Ticket', 'Fare', 'Cabin', 'Embarked', 'Survived', 'Sex_int',\n",
       "       'Embarked_int'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "050ecb71",
   "metadata": {},
   "source": [
    "### Decision tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "13a624e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df[['Pclass', 'Age', 'SibSp', 'Parch', 'Fare', 'Sex_int', 'Embarked_int']]\n",
    "y = df[['Survived']]\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)\n",
    "\n",
    "clf = DecisionTreeClassifier(max_depth=20).fit(X_train, y_train)\n",
    "\n",
    "y_pred = clf.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "7a3979db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7360406091370558"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "0922e423",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6add67d485c34e66a3a2861eb1186535",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/199 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best accuracy 0.7868020304568528 for depth 3\n"
     ]
    }
   ],
   "source": [
    "res_train = []\n",
    "res_test = []\n",
    "best = -1\n",
    "depth = 0\n",
    "for max_depth in tqdm_notebook(range(1, 200)):\n",
    "    clf = DecisionTreeClassifier(max_depth=max_depth).fit(X_train, y_train)\n",
    "    y_train_pred = clf.predict(X_train)\n",
    "    acc_train = accuracy_score(y_train, y_train_pred)\n",
    "    res_train.append(acc_train)\n",
    "    y_test_pred = clf.predict(X_test)\n",
    "    acc_test = accuracy_score(y_test, y_test_pred)\n",
    "    res_test.append(acc_test)\n",
    "    if acc_test > best:\n",
    "        best = acc_test\n",
    "        depth = max_depth\n",
    "print('Best accuracy', best, 'for depth', depth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "2295403c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "plt.plot(range(1, 200), res_train, label='train results')\n",
    "plt.plot(range(1, 200), res_test, label='test results')\n",
    "plt.title('Results depending on tree depth')\n",
    "plt.grid(ls=':')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8115701a",
   "metadata": {},
   "source": [
    "### Random forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "ea7aaa90",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df[['Pclass', 'Age', 'SibSp', 'Parch', 'Fare', 'Sex_int', 'Embarked_int']]\n",
    "y = df[['Survived']]\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)\n",
    "\n",
    "clf = RandomForestClassifier(max_depth=5, n_estimators=10).fit(X_train, y_train)\n",
    "\n",
    "y_pred = clf.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "a5ca5d4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8020304568527918"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "b66098e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3799583c04a64d0e814fe77df43792e5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/199 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best accuracy 0.817258883248731 for depth 5\n"
     ]
    }
   ],
   "source": [
    "res_train = []\n",
    "res_test = []\n",
    "best = -1\n",
    "depth = 0\n",
    "for max_depth in tqdm_notebook(range(1, 200)):\n",
    "    clf = RandomForestClassifier(max_depth=max_depth, n_estimators=10).fit(X_train, y_train)\n",
    "    y_train_pred = clf.predict(X_train)\n",
    "    acc_train = accuracy_score(y_train, y_train_pred)\n",
    "    res_train.append(acc_train)\n",
    "    y_test_pred = clf.predict(X_test)\n",
    "    acc_test = accuracy_score(y_test, y_test_pred)\n",
    "    res_test.append(acc_test)\n",
    "    if acc_test > best:\n",
    "        best = acc_test\n",
    "        depth = max_depth\n",
    "print('Best accuracy', best, 'for depth', depth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "d039b5a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "plt.plot(range(1, 200), res_train, label='train results')\n",
    "plt.plot(range(1, 200), res_test, label='test results')\n",
    "plt.title('Results depending on tree depth')\n",
    "plt.grid(ls=':')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "e1a8125e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e8d4c80accfe46be875d605fd91bfe19",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/499 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best accuracy 0.817258883248731 for n_estimators 22\n"
     ]
    }
   ],
   "source": [
    "res_train = []\n",
    "res_test = []\n",
    "best = -1\n",
    "estimators_best = 0\n",
    "for estimators in tqdm_notebook(range(1, 500)):\n",
    "    clf = RandomForestClassifier(max_depth=5, n_estimators=estimators).fit(X_train, y_train)\n",
    "    y_train_pred = clf.predict(X_train)\n",
    "    acc_train = accuracy_score(y_train, y_train_pred)\n",
    "    res_train.append(acc_train)\n",
    "    y_test_pred = clf.predict(X_test)\n",
    "    acc_test = accuracy_score(y_test, y_test_pred)\n",
    "    res_test.append(acc_test)\n",
    "    if acc_test > best:\n",
    "        best = acc_test\n",
    "        estimators_best = estimators\n",
    "print('Best accuracy', best, 'for n_estimators', estimators_best)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "79b5d51b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "plt.plot(range(1, 500), res_train, label='train results')\n",
    "plt.plot(range(1, 500), res_test, label='test results')\n",
    "plt.title('Results depending on n_estimators')\n",
    "plt.grid(ls=':')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b713a53",
   "metadata": {},
   "source": [
    "### Boosting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "68435537",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df[['Pclass', 'Age', 'SibSp', 'Parch', 'Fare', 'Sex_int', 'Embarked_int']]\n",
    "y = df[['Survived']]\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)\n",
    "\n",
    "clf = XGBClassifier(verbosity = 0).fit(X_train, y_train)\n",
    "\n",
    "y_pred = clf.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "1e0616eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7969543147208121"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "16029fe6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "609bacafbc70430a9afcaa939924fc43",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/499 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best accuracy 0.8223350253807107 for n_estimators 2\n"
     ]
    }
   ],
   "source": [
    "res_train = []\n",
    "res_test = []\n",
    "best = -1\n",
    "estimators_best = 0\n",
    "for estimators in tqdm_notebook(range(1, 500)):\n",
    "    clf = XGBClassifier(max_depth=10, n_estimators=estimators, verbosity=0).fit(X_train, y_train)\n",
    "    y_train_pred = clf.predict(X_train)\n",
    "    acc_train = accuracy_score(y_train, y_train_pred)\n",
    "    res_train.append(acc_train)\n",
    "    y_test_pred = clf.predict(X_test)\n",
    "    acc_test = accuracy_score(y_test, y_test_pred)\n",
    "    res_test.append(acc_test)\n",
    "    if acc_test > best:\n",
    "        best = acc_test\n",
    "        estimators_best = estimators\n",
    "print('Best accuracy', best, 'for n_estimators', estimators_best)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "313b2670",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "plt.plot(range(1, 500), res_train, label='train results')\n",
    "plt.plot(range(1, 500), res_test, label='test results')\n",
    "plt.title('Results depending on n_estimators')\n",
    "plt.grid(ls=':')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4754ad53",
   "metadata": {},
   "source": [
    "## Processing test to obtain results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "e528741d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test = pd.read_csv('titanic_test.csv')\n",
    "df_test['Sex_int'] = df_test['Sex'].apply(lambda x: 0 if x == 'male' else 1)\n",
    "df_test['Embarked_int'] = df_test['Embarked'].apply(lambda x: embarked_int[x])\n",
    "df_test['Age'] = df_test['Age'].fillna(mean_age)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "b1635c06",
   "metadata": {},
   "outputs": [],
   "source": [
    "best_classifier = XGBClassifier(max_depth=10, n_estimators=2, verbosity=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "01634a4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df[['Pclass', 'Age', 'SibSp', 'Parch', 'Fare', 'Sex_int', 'Embarked_int']]\n",
    "y = df[['Survived']]\n",
    "\n",
    "clf = best_classifier.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "56868e5b",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_test = clf.predict(df_test[['Pclass', 'Age', 'SibSp', 'Parch', 'Fare', 'Sex_int', 'Embarked_int']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "590af93d",
   "metadata": {},
   "outputs": [],
   "source": [
    "res = {'PassengerId': df_test['PassengerId'], 'Survived': y_test}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "f419cf8b",
   "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",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>710</td>\n",
       "      <td>0</td>\n",
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       "      <th>1</th>\n",
       "      <td>440</td>\n",
       "      <td>0</td>\n",
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       "      <th>2</th>\n",
       "      <td>841</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>721</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "   PassengerId  Survived\n",
       "0          710         0\n",
       "1          440         0\n",
       "2          841         0\n",
       "3          721         1\n",
       "4           40         0"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_res = pd.DataFrame(res)\n",
    "df_res.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "1cea1363",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_res.to_csv('titanic_submission.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cc00513",
   "metadata": {},
   "source": [
    "## Hints"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "412db663",
   "metadata": {},
   "source": [
    "$1$. Попробуйте подобрать лучшие параметры моделей, исследуйте документацию, чтобы узнать какие еще есть параметры.\n",
    "\n",
    "$2$. Попробуйте создать доп парметры: какие буквы сколько раз есть в имени, номер кабины, отношение возраста к классу, что угодно, проявите фантазию!\n",
    "\n",
    "$3$. Попробуйте перебирать параметры моделей не последовательно, а параллельно: например, одновременно перебирать и $max\\_depth$, и $n\\_estimators$ для бустинга. Вам может помочь `sklearn.model_selection.GridSearchCV`."
   ]
  }
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