{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uL2DXt0D4Q0W"
      },
      "source": [
        "# **TPRSM 1.2 2026-2027 -  Régression logistique seconde partie : jeu de données des maladies cardio-vasculaires**\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Version du 12/08/2026"
      ],
      "metadata": {
        "id": "R2biUUXREuPc"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Pd14S74S4Q0Y"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import statsmodels.formula.api as smf\n",
        "import statsmodels.api as sm"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AzcdLbwS4Q0a",
        "collapsed": true
      },
      "outputs": [],
      "source": [
        "url = \"https://cpmath.fr/DatasetMaladie.txt\"\n",
        "maladie = pd.read_csv(url,sep=';',encoding='utf-8')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "maladie.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "collapsed": true,
        "id": "zXLz8pHLIZHz",
        "outputId": "d35b0eef-093d-4abb-bca4-8f2e72a256e3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   ind  sbp  tobacco   ldl  adiposity  famhist  typea  obesity  alcohol  age  \\\n",
              "0    1  160    12.00  5.73      23.11  Present     49    25.30    97.20   52   \n",
              "1    2  144     0.01  4.41      28.61   Absent     55    28.87     2.06   63   \n",
              "2    3  118     0.08  3.48      32.28  Present     52    29.14     3.81   46   \n",
              "3    4  170     7.50  6.41      38.03  Present     51    31.99    24.26   58   \n",
              "4    5  134    13.60  3.50      27.78  Present     60    25.99    57.34   49   \n",
              "5    6  132     6.20  6.47      36.21  Present     62    30.77    14.14   45   \n",
              "6    7  142     4.05  3.38      16.20   Absent     59    20.81     2.62   38   \n",
              "7    8  114     4.08  4.59      14.60  Present     62    23.11     6.72   58   \n",
              "8    9  114     0.00  3.83      19.40  Present     49    24.86     2.49   29   \n",
              "9   10  132     0.00  5.80      30.96  Present     69    30.11     0.00   53   \n",
              "\n",
              "   chd  \n",
              "0    1  \n",
              "1    1  \n",
              "2    0  \n",
              "3    1  \n",
              "4    1  \n",
              "5    0  \n",
              "6    0  \n",
              "7    1  \n",
              "8    0  \n",
              "9    1  "
            ],
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              "      <td>46</td>\n",
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              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>170</td>\n",
              "      <td>7.50</td>\n",
              "      <td>6.41</td>\n",
              "      <td>38.03</td>\n",
              "      <td>Present</td>\n",
              "      <td>51</td>\n",
              "      <td>31.99</td>\n",
              "      <td>24.26</td>\n",
              "      <td>58</td>\n",
              "      <td>1</td>\n",
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              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>134</td>\n",
              "      <td>13.60</td>\n",
              "      <td>3.50</td>\n",
              "      <td>27.78</td>\n",
              "      <td>Present</td>\n",
              "      <td>60</td>\n",
              "      <td>25.99</td>\n",
              "      <td>57.34</td>\n",
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              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>132</td>\n",
              "      <td>6.20</td>\n",
              "      <td>6.47</td>\n",
              "      <td>36.21</td>\n",
              "      <td>Present</td>\n",
              "      <td>62</td>\n",
              "      <td>30.77</td>\n",
              "      <td>14.14</td>\n",
              "      <td>45</td>\n",
              "      <td>0</td>\n",
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              "      <th>6</th>\n",
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              "      <td>4.05</td>\n",
              "      <td>3.38</td>\n",
              "      <td>16.20</td>\n",
              "      <td>Absent</td>\n",
              "      <td>59</td>\n",
              "      <td>20.81</td>\n",
              "      <td>2.62</td>\n",
              "      <td>38</td>\n",
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              "      <td>4.59</td>\n",
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              "      <td>6.72</td>\n",
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              "      <td>19.40</td>\n",
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              "      <td>49</td>\n",
              "      <td>24.86</td>\n",
              "      <td>2.49</td>\n",
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              "      <th>9</th>\n",
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              "type": "dataframe",
              "variable_name": "maladie",
              "summary": "{\n  \"name\": \"maladie\",\n  \"rows\": 462,\n  \"fields\": [\n    {\n      \"column\": \"ind\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 133,\n        \"min\": 1,\n        \"max\": 463,\n        \"num_unique_values\": 462,\n        \"samples\": [\n          226,\n          31,\n          40\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sbp\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 20,\n        \"min\": 101,\n        \"max\": 218,\n        \"num_unique_values\": 62,\n        \"samples\": [\n          176,\n          178,\n          160\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tobacco\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.593024078404595,\n        \"min\": 0.0,\n        \"max\": 31.2,\n        \"num_unique_values\": 214,\n        \"samples\": [\n          6.0,\n          2.38,\n          3.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ldl\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.0709091610593258,\n        \"min\": 0.98,\n        \"max\": 15.33,\n        \"num_unique_values\": 329,\n        \"samples\": [\n          5.8,\n          6.58,\n          5.13\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"adiposity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.7806985958397625,\n        \"min\": 6.74,\n        \"max\": 42.49,\n        \"num_unique_values\": 408,\n        \"samples\": [\n          26.35,\n          27.68,\n          33.23\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"famhist\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Absent\",\n          \"Present\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"typea\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9,\n        \"min\": 13,\n        \"max\": 78,\n        \"num_unique_values\": 54,\n        \"samples\": [\n          57,\n          20\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"obesity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.213680226897765,\n        \"min\": 14.7,\n        \"max\": 46.58,\n        \"num_unique_values\": 400,\n        \"samples\": [\n          19.48,\n          24.32\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 24.481058691658568,\n        \"min\": 0.0,\n        \"max\": 147.19,\n        \"num_unique_values\": 249,\n        \"samples\": [\n          7.85,\n          2.62\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14,\n        \"min\": 15,\n        \"max\": 64,\n        \"num_unique_values\": 49,\n        \"samples\": [\n          62,\n          47\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"chd\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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          "metadata": {},
          "execution_count": 3
        }
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        "maladie.describe()"
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        {
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          "data": {
            "text/plain": [
              "              ind         sbp     tobacco         ldl   adiposity       typea  \\\n",
              "count  462.000000  462.000000  462.000000  462.000000  462.000000  462.000000   \n",
              "mean   231.935065  138.326840    3.635649    4.740325   25.406732   53.103896   \n",
              "std    133.938585   20.496317    4.593024    2.070909    7.780699    9.817534   \n",
              "min      1.000000  101.000000    0.000000    0.980000    6.740000   13.000000   \n",
              "25%    116.250000  124.000000    0.052500    3.282500   19.775000   47.000000   \n",
              "50%    231.500000  134.000000    2.000000    4.340000   26.115000   53.000000   \n",
              "75%    347.750000  148.000000    5.500000    5.790000   31.227500   60.000000   \n",
              "max    463.000000  218.000000   31.200000   15.330000   42.490000   78.000000   \n",
              "\n",
              "          obesity     alcohol         age         chd  \n",
              "count  462.000000  462.000000  462.000000  462.000000  \n",
              "mean    26.044113   17.044394   42.816017    0.346320  \n",
              "std      4.213680   24.481059   14.608956    0.476313  \n",
              "min     14.700000    0.000000   15.000000    0.000000  \n",
              "25%     22.985000    0.510000   31.000000    0.000000  \n",
              "50%     25.805000    7.510000   45.000000    0.000000  \n",
              "75%     28.497500   23.892500   55.000000    1.000000  \n",
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              "      <td>462.000000</td>\n",
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              "      <td>462.000000</td>\n",
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              "      <td>462.000000</td>\n",
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              "      <th>mean</th>\n",
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              "      <td>25.406732</td>\n",
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              "      <td>17.044394</td>\n",
              "      <td>42.816017</td>\n",
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              "      <th>std</th>\n",
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              "      <td>4.593024</td>\n",
              "      <td>2.070909</td>\n",
              "      <td>7.780699</td>\n",
              "      <td>9.817534</td>\n",
              "      <td>4.213680</td>\n",
              "      <td>24.481059</td>\n",
              "      <td>14.608956</td>\n",
              "      <td>0.476313</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>101.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.980000</td>\n",
              "      <td>6.740000</td>\n",
              "      <td>13.000000</td>\n",
              "      <td>14.700000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>116.250000</td>\n",
              "      <td>124.000000</td>\n",
              "      <td>0.052500</td>\n",
              "      <td>3.282500</td>\n",
              "      <td>19.775000</td>\n",
              "      <td>47.000000</td>\n",
              "      <td>22.985000</td>\n",
              "      <td>0.510000</td>\n",
              "      <td>31.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>231.500000</td>\n",
              "      <td>134.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>4.340000</td>\n",
              "      <td>26.115000</td>\n",
              "      <td>53.000000</td>\n",
              "      <td>25.805000</td>\n",
              "      <td>7.510000</td>\n",
              "      <td>45.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>347.750000</td>\n",
              "      <td>148.000000</td>\n",
              "      <td>5.500000</td>\n",
              "      <td>5.790000</td>\n",
              "      <td>31.227500</td>\n",
              "      <td>60.000000</td>\n",
              "      <td>28.497500</td>\n",
              "      <td>23.892500</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>463.000000</td>\n",
              "      <td>218.000000</td>\n",
              "      <td>31.200000</td>\n",
              "      <td>15.330000</td>\n",
              "      <td>42.490000</td>\n",
              "      <td>78.000000</td>\n",
              "      <td>46.580000</td>\n",
              "      <td>147.190000</td>\n",
              "      <td>64.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"maladie\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"ind\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 166.4233160244648,\n        \"min\": 1.0,\n        \"max\": 463.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          231.93506493506493,\n          231.5,\n          462.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sbp\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 130.68742282570946,\n        \"min\": 20.496317175467627,\n        \"max\": 462.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          138.32683982683983,\n          134.0,\n          462.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tobacco\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 161.29089833920912,\n        \"min\": 0.0,\n        \"max\": 462.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3.635649350649351,\n          2.0,\n          462.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ldl\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 161.55621652160278,\n        \"min\": 0.98,\n        \"max\": 462.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          4.740324675324675,\n          4.34,\n          462.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"adiposity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 155.72909669661666,\n        \"min\": 6.74,\n        \"max\": 462.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          25.4067316017316,\n          26.115000000000002,\n          462.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"typea\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 149.27187541208806,\n        \"min\": 9.817534115584083,\n        \"max\": 462.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          53.103896103896105,\n          53.0,\n          462.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"obesity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 155.28296029438135,\n        \"min\": 4.213680226897765,\n        \"max\": 462.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          26.04411255411255,\n          25.805,\n          462.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 159.63289414041645,\n        \"min\": 0.0,\n        \"max\": 462.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          17.044393939393935,\n          7.51,\n          462.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 150.86182604527482,\n        \"min\": 14.60895644455249,\n        \"max\": 462.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          42.816017316017316,\n          45.0,\n          462.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"chd\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 163.19963095476027,\n        \"min\": 0.0,\n        \"max\": 462.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.3463203463203463,\n          1.0,\n          0.476312536590781\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sum(maladie['chd'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ulf8g_InR8He",
        "outputId": "32541c27-3a32-41f6-fee7-05b8762c875c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "160"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BJxh0UTz4Q0a"
      },
      "source": [
        "Ces données contiennent les informations de 462 patients d'Afrique du Sud. On y trouve des informations telles que :\n",
        "- la tension artérielle ;\n",
        "- le fait de fumer ou pas ;\n",
        "- l'adiposité ;\n",
        "- l'obésité ;\n",
        "- etc.\n",
        "\n",
        "La variable CHD est la variable qui indique si la personne a une maladie cardio-vasculaire (1) ou pas (0).\n",
        "\n",
        "Le nuage de points ci-dessous représente les patients selon leur âge en abscisse et selon le fait qu'ils aient ou non une maladie cardio-vasculaire en ordonnée."
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df=maladie\n",
        "df['famhist'] = pd.get_dummies(df['famhist'])['Present']\n",
        "target = 'chd'\n",
        "features = ['sbp', 'tobacco', 'ldl', 'famhist', 'obesity', 'alcohol', 'age']\n",
        "df[features + [target]].head()\n",
        "sns.pairplot(df, vars=features, kind=\"scatter\", hue=target,plot_kws=dict(s=30, linewidth=1))._legend.remove()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "collapsed": true,
        "id": "u68aVecrNJbZ",
        "outputId": "93407c15-cea9-4493-f276-e99ccd45cf00"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1808.88x1750 with 56 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "3ZonBkGa4Q0b",
        "outputId": "ca5d0b78-9e51-4b01-a3a3-350ff334123c",
        "collapsed": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.set()\n",
        "ax = sns.scatterplot(x=\"age\", y=\"chd\", data=maladie)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bWW3BBry4Q0b"
      },
      "source": [
        "Il est clair qu'une régression linéaire n'aurait ici pas de sens. On peut par contre calculer des classes d'âge et les proportions de malades associées."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "gpykj0ro4Q0c"
      },
      "outputs": [],
      "source": [
        "maladie['cl_age'] = pd.cut(maladie['age'], bins = np.arange(15, 75, 10), right=False)\n",
        "prop = pd.crosstab(maladie['cl_age'], maladie['chd'], normalize='index')\n",
        "prop_chd = pd.DataFrame(data = {'age': np.concatenate((np.array([15]),np.repeat(np.arange(25,65,10),\n",
        "                                repeats=2),np.array([65])), axis=0),\n",
        "                                'prop_chd': np.repeat(prop.loc[:,1].values, repeats=2)})"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 473
        },
        "id": "Zq_yTsX14Q0d",
        "outputId": "d39e0202-a3e1-4f2b-a82a-48025567a1df",
        "collapsed": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize=(8,5))\n",
        "ax = sns.scatterplot(x=\"age\", y=\"chd\", data=maladie)\n",
        "plt.plot(prop_chd['age'], prop_chd['prop_chd'], color='black', label='Freq. maladie')\n",
        "ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Pourquoi la courbe ne monte-t-elle pas jusque 1 ?**\n",
        "\n",
        "La courbe donne la proportion de malades parmi les personnes d'age a donné. Même chez les plus âgés, tout le monde n'est pas malade et le nombre total de malades ne représente pas 100% de la population.\n",
        "La proportion cumulée se stabilise vers 0.6 qui représente la proportion totale de malades dans la population observée."
      ],
      "metadata": {
        "id": "iiVucPYXcR5c"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h79-ciPt4Q0e"
      },
      "source": [
        "On effectue la régression logistique de la variable binaire CHD en fonction de l'âge."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5OZlOja44Q0f",
        "outputId": "2b9bbf51-7e93-47f7-b239-98249147ffe1",
        "collapsed": true
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                 Generalized Linear Model Regression Results                  \n",
            "==============================================================================\n",
            "Dep. Variable:                    chd   No. Observations:                  462\n",
            "Model:                            GLM   Df Residuals:                      460\n",
            "Model Family:                Binomial   Df Model:                            1\n",
            "Link Function:                  Logit   Scale:                          1.0000\n",
            "Method:                          IRLS   Log-Likelihood:                -262.78\n",
            "Date:                Tue, 11 Aug 2026   Deviance:                       525.56\n",
            "Time:                        13:48:11   Pearson chi2:                     445.\n",
            "No. Iterations:                     4   Pseudo R-squ. (CS):             0.1416\n",
            "Covariance Type:            nonrobust                                         \n",
            "==============================================================================\n",
            "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "Intercept     -3.5217      0.416     -8.465      0.000      -4.337      -2.706\n",
            "age            0.0641      0.009      7.513      0.000       0.047       0.081\n",
            "==============================================================================\n"
          ]
        }
      ],
      "source": [
        "reglog1 = smf.glm('chd ~ age', data=maladie, family=sm.families.Binomial()).fit()\n",
        "\n",
        "print(reglog1.summary())"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H3AvuMkl4Q0g"
      },
      "source": [
        "Les paramètres estimés sont : $\\hat{\\beta}_{0}=−3.5$ et $\\hat{\\beta}_{1}=0.064$, que l'on stocke dans les variables beta0 et beta1. La régression logistique est de bonne qualité, l'âge est significatif ($p$-valeur inférieure à $10^{-3}$). La déviance et le LLR ont une valeur rasionnable. Le pseudo $R^2$ est par contre faible."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "o02Ea0WI4Q0g",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b034b41f-6504-4df6-f11e-32e8354a12fe"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipykernel_2249/3757596580.py:1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
            "  beta0 = reglog1.params[0]\n",
            "/tmp/ipykernel_2249/3757596580.py:2: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
            "  beta1 = reglog1.params[1]\n"
          ]
        }
      ],
      "source": [
        "beta0 = reglog1.params[0]\n",
        "beta1 = reglog1.params[1]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kXuz9I6Z4Q0h"
      },
      "source": [
        "On trace sur le même graphique la courbe logistique: <br><br><center><font size=\"4\">$f(x) = \\frac{e^{\\beta_{0}+\\beta_{1}x}}{1+e^{\\beta_{0}+\\beta_{1}x}}$</font></center>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9EnbF_Tt4Q0h"
      },
      "outputs": [],
      "source": [
        "x = np.linspace(start=15, stop=65, num=500)\n",
        "y = np.exp(beta0+beta1*x)/(1+np.exp(beta0+beta1*x))\n",
        "reglog = pd.DataFrame(data={'age': x, 'prop_chd': y})"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 473
        },
        "id": "QwRjRTpV4Q0h",
        "outputId": "6d4ade62-ff03-48ab-eae6-6f9b6afe8d1b",
        "collapsed": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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J8c+9ipw9Q5FvLJEhM1OS5K5SVVn3DJV9wJ1+rg5AYRAEAQAAUCjmH39Q5IyXFf7+uzJ4PJIkZ6Mmyho2Uo4bb5bCwvxcIYDCIggCAADgzLxeha1fK+uMl2XZtCG3ObtTZ2WOuE/ODpdLBoMfCwRQHARBAAAA5Od0Kvzdt2WdOU3mX36WJHlNJjm691Dm8NFyN2zk5wIBnA+CIAAAAHIZTqQrYskiRc6ZKdP+vyVJXmuUsvoNVNaQYfJceJGfKwRQEgiCAAAAkPHQQUXOnaWIhfNlTEuVJHkSLlDm4KGyDxgkb2ycnysEUJIIggAAACHMtGunImdOVcTyZTJkZ0uSXBdfoqxho2Tv2UuKiPBzhQB8gSAIAAAQarxembd+JeuMlxS++pPcZmerNsocPlrZXbtJRqMfCwTgawRBAACAUOHxyLJmtaxTpyhs21ZJktdgUPY11ylz+Gi5WrX2c4EASgtBEAAAoKxzuRT+3gpZp70o86+/SJK8Fovsvfooa+hIuS++xM8FAihtBEEAAICyKitLEUtfk3XmVJn2/SlJ8kSXk33gXTl3AK1Yyc8FAvAXgiAAAEAZY0hLVcTC+bLOmiHj0SOSJE+FCsoaPExZd94tb0ysfwsE4HcEQQAAgDLCcPiwrHNmKuLVeTKmp0mS3BdepMzho2S/vZ9ktfq5QgCBgiAIAAAQ5Ix/7pV15lRFLH1NBrtdkuSqe6kyR46R4+aeUliYnysEEGgCLgju3r1bEyZM0Pfff6+oqCjddNNNuu+++2SxWM657qFDhzRlyhRt2LBBmZmZqlq1qoYOHaobb7yxFCoHAAAoXaZff5F16hSFv7dCBrdbkuRscZkyR93PFBAAziqggmBqaqoGDBigGjVqaNq0aTp06JAmTpwou92uxx9//KzrHj58WL169VLNmjU1fvx4RUdHa9euXco+OTEqAABAWWH+equsUycr/NNVuW3ZnTorc/T9crZtLxkMfqwOQDAIqCC4bNkyZWRkaPr06YqNjZUkud1uPfXUUxoyZIgqVqx4xnWff/55VapUSfPmzZPJZJIkJSYmlkbZAAAAvuf1Kmz9Z7K+PEWWLzfnNBkMctzQXVmjxsjVuKl/6wMQVALqfIGNGzcqMTExNwRKUrdu3eTxeLR58+YzrnfixAl98skn6tOnT24IBAAAKBPcboW//45ir+qo2N49ZPlys7xhYcrqO0ApW75R+rxFhEAARRZQRwSTkpLUo0ePPG02m00JCQlKSko643o7duyQ0+mU2WxW37599f333ys2Nlbdu3fXfffdp7DzuEDabA6orBzUTCZjnn8RXBi/4McYBj/GMLgVefycTlnefksRL70g065dkiRvVJQcAwbJPmykvFWqyKAA+2UOQNAIqM+OtLQ02Wy2fO0xMTFKTU0943pHjx6VJD366KO67bbbNGLECP3444+aOnWqjEaj7r///mLVYzQaFBcXVax1cWY2W6S/S8B5YPyCH2MY/BjD4HbO8XM4pIULpYkTpb17c9ri4qTRo2UYMUIR5csrwtdFAijzAioIFpfH45EktW3bVuPGjZMktWnTRhkZGVqwYIGGDx+uiIiif2R6PF6lpWWWaK2hzGQyymaLVFpaltxuj7/LQRExfsGPMQx+jGFwO+f4ZWYqfNGripj+koz//CNJ8iQkyD58lBx33i2VK5fTLyWjFKsObDZbJEfIgWIKqCBos9mUnp6erz01NVUxMTFnXU/KCX+nS0xM1KxZs/Tnn3+qbt26xarJ5eIHbUlzuz3s1yDG+AU/xjD4MYbB7b/jZ0hPU8Sr82SdNV3Gk2c5uatUVeaI0bLfMUCKPHkEkTEHUIICKgjWqlUr37WA6enpOnLkiGrVqnXG9S6++OKzbtfhcJRIfQAAACXFkHxMkXNnKXLebBlTj0uS3NVrKHPUWNlvu10KD/dvgQDKtIA6lt6xY0dt2bJFaWlpuW2rVq2S0WhUu3btzrhe1apVVadOHW3ZsiVP+5YtWxQREXHOoAgAAFBaDIcOKeqpxxTfopGiJj8nY+pxuerUVdqMOUr+8jvZ+w0kBALwuYAKgr1791ZUVJSGDx+uL774QitWrNCkSZPUu3fvPHMIDhgwQF26dMmz7pgxY7Ru3To9/fTT2rx5s2bNmqUFCxZo4MCBslqtpf1UAAAA8jD8/bc0apRimjWQdcbLMmackLNhY6XOX6KUjVvluLW3ZA6ok7UAlGEB9WkTExOjRYsWafz48Ro+fLiioqLUs2dPjRkzJk8/j8cjt9udp61z586aMmWKZs6cqaVLl+qCCy7QyJEjNXjw4NJ8CgAAAHkY9yTJOu1FRbz5huR0yiDJ2aKlMsf+n7Kv6ioZDP4uEUAIMni9Xq+/iwhUbrdHycncmaukmM1GxcVFKSUlg5scBCHGL/gxhsGPMQwupt9/k/XlyQp/Z7kMJ+9wriuuUPro+2VP7EAALAHx8VHcNRQopoA6IggAABDszD9tl/XFF2T5+AMZTv693XFlFznuf1C2blfJlZLBHUAB+B1BEAAAoASYt22V9aUXFL5mdW6b47oblXnf/XI1aSazmSNX/uR2u+V0Ov1dBuAzZrNZJpNJhkKebUAQBAAAOA9hX22R9fmJsmz6XJLkNRrl6N5Dmfc9IPel9fxaGySv16t//vlHx48fFxdEoawzm82qWPECxcTEnDMQEgQBAACKIWzzJllfmCjL5k2SJK/ZLHuvPsocOUaeWrX9XB1O+eeff5SSclzlysUqPDxcEtdmomxyu93KysrQ/v37lZmZqSpVqpy1P0EQAACgsLxehX2xMScAfrk5pyksTPY+/ZU5aow8F1Xzc4E4ndvt1vHjOSGwXLkYf5cD+FxkpFXp6WE6fjxVFStWlMlkOmNfgiAAAMC5eL0K27BeUZOfU9jWL3OaLBbZ7+ivzFFj5al6oZ8LREGcTqe8Xp08EgiEhvDwSKWnp8rpdBIEAQAAisXrVdj6tYp6YaLCvvk6pyk8XFn9BiprxH3yVKnq5wJROJwOCvwXQRAAAOC/vF5Z1n4q6+TnFPbtNzlNERHK6n9nTgCsVNnPBQLA+SEIAgAAnOL1yvLpKlknT1TYD9/nNEVGKmvAXcoaPkqeipX8XCAAlAyCIAAACAher1eZmZn+enBFrlmt2GlTFP7zT5IkT2Sk0vsOVOo9Q+VJSMjpl5FR7Icwm42yWKSMjAy5yvCE8lartdDzmKHw5s6dpfnz5+Rrr1Wrtt54Y7kfKvKfoUPvkdUaqcmTp573tl588Xlt2PC53nvvY0nSRx99oAkTntSqVWsVGxt33tsPZARBAADgd16vV9dff7W2bdtaqo9rkNRd0uOSapxsOyFpuqQpWVk6MvcVae4rpVpTsGvVqo0+/HA1YdAHwsMjNGPGrHxtKDnt2nXQvHkLFR1dzt+l+BxBEAAA+F1mZmaphkCDpFskPSapycm2dEnTJE2RdKzUKgEKz2g0qGHDxoXqa7fbFRFBSCyquLg4xcWV7SOBpxAEAQBAQNmxY7esVqtvNu52y/rJR4qd9qIsO3+XJHnKlVPagLuUdtdg9YmNUx/fPLLMZqPi4qKUksKpoSh5bdo017BhI5WWlqaVKz+S3Z6ldeu+kNfr1RtvLNF7772jgwf/UULCBbr11l66/fa+edbfuPFzzZgxVf/8c0AXX3yJHnhgnEaNGqpevfronnvuLUYto5SRcUIffPCunE6nbrrpFo0YMVrffPO1pk59UX///ZcaNGioxx57ShVPu/Z2xoyp2rLlCx04sF/R0dFq2rS5Ro8eqwoVEs74eHv37tG8ebP144/blZqaqsqVK+uGG7rr9tvvkNFozO135MgRPffc09q27WvZbOV0222359tWQaeGZmdna/782Vq9+hMdO3ZMVapU1aBB96hr125F2i+BhiAIAAACitVqVVRUVMlu1O1W+PvvyDplksynAqAtRln33KusIcPkjY1TZMk+Yj5ms1FRUVHKzlaZDoLBwJ/Xo55vUHa5XHm+N5lMudt7882latiwkR555HG53W5J0pQpz+uDD97TwIGD1KBBI/3003bNmDFV4eERuuWWnpKknTt/18MP/5/atGmr0aPH6sCB/XrkkYfkdDqLXefbb7+p5s1b6IknxmvHjp81d+4seTweff31Vxo48C6FhYVpypTn9fTT/09Tp87MXS8lJVkDBgxShQoJOn48RW+8sURDh96jpUvfltlccHQ5cuSwqlevrq5du8lqjdKuXb9r7tzZysrK1N13D8nt9+CDY3T48GE9+ODDKleunBYvflWHDh0661x7kvTIIw9p+/YfdNddg1WjRk19+eUXevLJR1WunE1t27Yr9j7yN4IgAAAou1wuhb/7tqwvPi/zH7skSZ6YWGUNGaase+6VNybWv/Wh1Hm9XnXr1kVff/2VXx6/detErVz5abHCYFZWltq3b5Wn7Yknxqtbt+skSTabTRMnvpC77b///ktvv/2mHnrof+revYckqVWr1rLb7Zo/f466d79FRqNRixe/qooVK2nSpCm5oSg8PFxPP/3/iv08K1RI0JNPTpAktWnTVps2bdCyZa/rjTeWq2bNWpJyAtzkyZOUnp6ucuVyrsl79NEnc7fhdrvVsGFj3XjjNfr2221q3TqxwMdq2bK1WrZsLSlnfJs0aSq73a63334zNwh++eVm/frrL5o+fZYuuyxnHzZv3kI33nitbDbbGZ/Ht99u06ZNG/TyyzNyH7916zY6evSo5s2bRRAEAAAIKC6Xwle8lRMAk3ZLkjyxscq6d4Sy7h4iry3GzwXCn4L11NXw8AjNmjUvT1uVKlVz/5+Y2C7Pczt13e0VV1yZ50hiy5attWTJQh06dFCVK1fRjh0/q0OHy/McGevc+arzCoKtWrXO8321atV17Nix3BB4qk2SDh8+lBsEt2zZrFdfnaukpCRlZJzI7btv359nDIIOh0OLFy/Q6tWf6ODBg3mea2ZmpqxWq3bs+FnR0dG5IVCSoqPLqWXLVvr999/O+Dy2bv1KNluMWrRomWe7rVq10XPPPSO3233OI4qBqtBB8OGHHy7yxg0Gg5555pkirwcAAFAsTqfC335TUS8+L9PePZIkT3y8MoeOlH3QPfKWO/Nf/hEaDAaDVq78NChPDTUaDapXr/4Zl8fHx+f5/vjx4/J6veratXOB/Q8dOqTKlavo2LGj+W6QEhUVrfDw8GLVKSk32J1iNocV2CblXIMnSb/8skP/939j1LHj5erX707Fx8dJMujuuwfk9inIjBlT9f777+quuwbr0kvrqVy5ctq48XO9+uo8ZWc7ZLVadezY0QKng4iPL3/W53H8+HGlpaXmOxJ7yrFjR3XBBRXPuo1AVegguHVr/jt52e12JScnS5JiYnL+spaamiop54UYGenrs+0BAAAkOZ2KeGuprC++INO+vZIkT/nyyhw6SvZBd8sbAreCR+EZDIaSvw41APw3YNpsMTIYDJo9e4HCwsLy9T91RK58+QpKSUnJsywj44QcDofvii3Ahg3rFB0draeffi73Ji///HPgnOutW7dGN998i/r3H5jbtnnzpjx9ypevoOPHU/Rfyclnv0ewzWZTXFycpkyZVuDyuLj4AtuDQaGD4Lp16/J8/8cff2jQoEEaMmSIBgwYkPsXiOTkZC1atEjvvfee5szJP+klAABAicnOVsSy12V9ebJMf+2TJHkqJChz+GhlDbxLKoO/7AOF1bJlzlGs1NTj6tDh8jP2q1+/gb74YqNGjx6be5rjunWflUqNp3M4HDKbzXkC7erVnxRyvX+Drtvt1po1q/P0qV+/oU6cOKFvvvk69/TQEyfST95B9MxnCrRs2VqvvbZIZrNZl1xSp6hPKaAV+xrB8ePHq2PHjhozZkye9vj4eI0ZM0bHjh3T+PHjtXDhwvOtEQAAIC+HQxFLX5N16hSZ/v5LkuS+oKKyRoxWVv9Bkq+mnwCCSLVq1dWjx2166qnHdMcd/dWgQSO5XC799def+vbbbzRp0hRJUv/+d2rQoH568MGx6tHjNh048Ldef31JvlND58+fowUL5urtt99X5cpVSrzeVq3aaNmyNzR58nO6/PIr9NNPP2nVqo8Ltd4HH7yrmjVrKTY2VitWLM93x9PExLaqW/dSPfHEoxo+fJSio8tp8eIF5zwy3Lp1G7Vv31FjxoxQ374DdPHFlygrK0t79iTpr7/+0iOPPH5ez9mfih0Et2/frq5du55xeb169fTxx+ceOAAAgEKz2xXx+mJZp70o04H9kiR3xUrKGnmfsvrdKXFZCpDH/fc/qOrVq+u9997RggVzFRlpVfXq1dW581W5ferWvVRPP/2cZs6cpnHj7letWrU1fvyzuu++4Xm25fF45Ha75fX6pta2bdtr+PBRWr78TX300Qdq3LipXnjhZd12W/ezrjd27IOaNOkZTZ48SREREbruuht0+eVX6Nlnx+f2MRgMev75F/Xcc0/rueeeVrly5XTrrb2VnHxMGzZ8ftbtP/vs81q8+FWtWLFcBw/+o+joaNWqVVvXX39jCTxr/zF4vcUbyssvv1z16tXTrFmzClw+ZMgQ/frrr9q4ceN5FehPbrdHyckZ/i6jzAiViXTLKsYv+DGGwa8sj2FGRoZq1qwsSdqz55/8f6XPylLE64tknfqiTAf/kSS5K1dR5qgxst8xQIqIKO2Si6wsj5+/xMdHyWQynnG53W7X7t1JqlChkiyW4t/4JFRddVXHYk0oD//Kznbo6NGDql27liLO8tlY7COCvXr10tSpUzV06FD169dP1apVkyT9+eefWrJkiTZu3KiRI0cWd/MAAABSZqYil7yqyOkvy3TooCTJXaWqMkeNlb1Pv6AIgAAQiIodBIcNG6bs7GzNnz9fn3/+eZ5lJpNJgwcP1rBhw863PgAAEIoyMhS5aIGsM16W8chhSZL7wouUOfp+2XvfIZ3Hbe0BAOc5ofx9992n/v3768svv9T+/Tnn6VetWlWJiYn55jEBAAA4lyhJttkzFTvvFRmPHpUkuatVzwmAvfpIFot/CwRCyGefBe8lXji38wqCUs5dQq+77rqSqAUAAIQow4kTekjS/ZLiJ+bc4MFdvYYyx/yf7Lf2lgqYAw0AUHznHQRPnDihAwcOKC0tTQXdd6Zly5bn+xAAAKCMMqSnKXL+HMXPnKaJJ9ucNWoqa+yDcvS4jQAIAD5S7CCYkpKi8ePH69NPP5Xb7ZYkeb3e3AkgT/3/119/LZlKAQBAmWFIS1Xk3FmKnD1DxuPHJUm/S5ogafyajYqKifFneQBQ5hU7CD722GNav369+vXrp8suu0w2m60k6wIAAGWQIfW4Iue8osg5r8iYelyS5LqkjlKGj1b9+4bLI2m8+bxPWAIAnEOxP2k3b96sAQMG6MEHHyzJegAAQBlkSElW5OyZipw7S8b0NEmSq+6lyhz7oBw33qwMu12e/0xeDQDwnWIHwYiICFWtWrUkawEAAGWMIfmYImfPUOTc2TKeSJckuerVzwmAN3SXjGeeDBwA4DvF/vS98cYb9dlnn5VkLQAAoIwwHDumqAlPKr5FI0W9+IKMJ9Llqt9QqfOXKGX9FjluuoUQCBTDxo0bNGrUMF19dSe1b99KN998vSZOnKB9+/4s1Tr+3/97Qn363Oqz7c+dO0tXXNHOJ9s+cOCA2rRprnXrCp9lli17XVu2fJGvvXv36/TCCxMLWCPwFfqI4I4dO/J8f80112jbtm2666671KtXL1WqVEkmkynfeg0aNDj/KgEAQFAwHDki68ypinx1ngyZGZIkZ8PGyrz/IWV3u47wB5yHGTOmasmSherc+SqNG/eY4uJitX//3/rww/f16KPjtHjxUn+XGBQqVKigefMW6qKLqhd6nWXL3lD79h3Utm37PO3PPTdZ5coF571SCh0Ee/TokXtH0FNOTRexZcuWfP25aygAAKHDcOiQrDNeVuSi+TJkZUmSnE2a5QTArt2k//wOAaBotmz5QkuWLNSgQfdo8OChue3NmrXQ9dffpC++KJ3J3+12uyIiIkrlsXzFYrGoYcPGJbKtunUvLZHt+EOhg+Czzz7ryzoAAEAQMh78R5HTX1Lk4ldlsNslSc5mzZX5wDhlX9WVAAiUkDfeWKL4+PIaNOjuApe3b98x9/8Oh0OvvDJdn322WmlpaapevYbuumuwOnXqnNtn6NB7ZLVGavLkqbltO3f+rv79b9eMGXPUosVlkqQ2bZpr2LCRSktL08qVH8luz9K6df+eIrlly2ZNn/6S/v77L9WsWUv/93/j8oWsjz76QEuXvqa//tqnmJgYXXvtDRo8eGiBZxOezT//HNDUqS/q66+3yu12qUmTpho5cowuvviS3D5Op1NTp76o1atXyuPx6KqrrlazZi30xBOP6J13PlKVKlV04MAB3XLL9XrmmUnq3PkqSTmn3C5YMEd//rlXJpNJF154kQYPHqq2bdure/frdPDgP3r77bf09ttvSZIeffRJXX/9jere/Tq1b99BDzwwLreG9957RwsXzldKSooaNWqk4cNH6847++auc2q/jhx5n+64o3/uesuWva6XXpqsr776LrctPT1dr7wyXRs2rFdaWqpq1aqtYcNGqnXrxCLtu4IUOgjefPPNeb53uVyy2+2Kjo4usP+JEyeC/q8FAACgYMZ/Dihy2ouKXLJQBodDkuRs0VIZ/zdOziuuIgAisHm9Umamfx7bai3y+8PlcunHH7erU6crZTaHnbP/E088oq++2qJ77x2u6tVr6JNPPtbDD/+fnntuijp2vLzIJb/55lI1bNhIjzzyeO784ZJ09OhRPf/8s7r77iEqV86mJUte1ejRI7R8+XuKj4+XJL3xxmuaMeNl9e7dR6NGjdXevXs0e/YMeTweDR8+qtA1ZGRkaNiwwTIajXroof/JYrFo4cL5Gjr0br322puqWLGSpJzTZ997b4XuuWeo6tSpo3Xr1mrmzGln3fbff/+l//3v/3T11ddo6NCR8no92rVrp9LScu5w/NxzkzV27Cg1adJUffr0lSRVrXpRgdv64ouNmjhxgq677gZ16dJVv/32q/73v+LNsuB0OjVq1FAlJyfr3nuHKSHhAq1atVJjx47WokWv5wnAxVHsu4ZOmDBB33zzjT766KMCl99+++1q3bq1Hn300WIXBwAAAotx/9+yTp2iiNcXy5CdLUlytmqjjAfGyXn5FQRABD6vV+W6dZH566/88vCu1olKX/lpkd4rqampys7OVqVKlc7Zd9eunfr883V66KH/6eabe0qSEhPb6Z9/Dmj+/NnFCoI2m00TJ76Q7zKxtLRUPfPMc7rsslaSpObNm+vGG6/VsmWva9iwkcrIyNC8ebPUt29/DR06UpLUunUbhYWF6eWXp6hv3/6KiYktVA0fffSBDh78R2+8sVw1a9aSlHNabPfu12rZsjc0evRYpaam6t1339add96t/v0HSpLatGmrESPu1aFDB8+47Z07f5fL5dL99z+kqKio3PVOqVv3UoWFhSk+Pv6cp5S++uo8NW3aTI899lTudrKzs7VgwdxCPc/TrV69Ujt37tRrry3Lfc5t2rTVX3/t06uvztPTTz9X5G2erthXbG/atEldu3Y94/KuXbtq48bSOVcZAAD4lvGvfYp+4D7Ft2qScyOY7GxlJ7bT8RUf6viHq+Xs1JkQiOARpK/VwpS9ffv3kqTOnbvkab/qqqu1c+fvyjp5DW9RJCa2yxcCJSk6Ojo3BOZ8X04tW7bSjh0/SZJ++mm7MjMz1blzF7lcrtyvli1byeGwa/fu3YWuYfv271WrVu3cQCRJMTExatWqjbZv/0GStHv3H3I4HOrQIW/Y7dix01m3ffHFl8hkMunxx/+nTZs26MTJqW6Kyu1267ffftPll1+Rp/2KK64s1va2bv1KtWtfrIsuqpZn/7Vq1Ua//LLj3Bs4h2IfETx8+LAqVqx4xuUXXHCBDh06VNzNAwCAAGD8c6+sL09WxLLXZXC5JEnZ7Too84Fxcrbr4OfqgGIwGHKOyAXRqaExMTEKDw/XwYNnPqp1Slpausxms2JiYvK0x8eXl9frVXp6uiIjI4v0+KdO8/yv2Ni4AvqW1969eyRJx48flyQNGNCnwPXPdpTuv9LS0hQfX77A2nbv/kOSdOzY0QLriovLX+fpqlWrrhdeeEmLFi3QuHEPyGAwqE2btnrggYdUqVLlQtd4/HiK3G6X4uLy7q+C6i7c9o5r587f1L59q3zLinp9ZUGKHQRjY2O1Z8+eMy7fvXv3Ga8fBAAAgc24J0nWl15QxFtLZTh5TVB2h07KfOAhORN9M7cXUGoMBunkKYDBwGw2q1GjJvrmm21yuVwym8/8K7zNZpPL5VJaWppstn+nNUhOPiaDwaBy5cpJksLDLXI6XXnWTU9PK3CbBR0NlHKCz38lJx9ThQoVTtaSE0YnTnwh9xq+01WpUuWMz+O/YmJi9Oefewt4vOTcxylfvkJuXQkJCbl9UlLy1/lfiYntlJjYThkZJ/Tll1v08suTNWHCk5o+fXaha4yNjZPJZFZKSvJ/ajyWr6/FYpHT6czT9t/9b7PZdPHFl+iRR54odA1FUexTQzt06KBly5bpl19+ybdsx44deuutt9SxY8cC1gQAAIHKlPSHyo28V/FtWyhy6WsyuN3K7tRZKR9+qtQVHxACAT/p06evjh07qoUL5xe4/NRk502aNJUkrVu3Js/ytWs/U506dXOPBiYkVNS+fXtzp4OTck5FLIoTJ07om2++Pu37dG3b9rUaNGgkSWrUqLEiIiJ0+PBh1atXP99XYa8PlKTGjZtq9+4/8oTBtLQ0bdu2Nfc5165dW+Hh4dq48fM8627cuL7QjxMVFa2rrrpaV13VNffIpiSFhYXJ4cg+67omk0l1616qDRvyPt769Wvz9b3gggvybF+Svv56a57vW7ZsrQMH9qtChYQC99/5KvYRwdGjR2vTpk269dZb1blzZ1188cWSpF27dmn9+vWKj4/X6NGjz7tAAADge6ZdO2V98XmFv7NcBo9HkuS4sosy739Irsvyn5YEoHS1bdteffsO0Lx5s7VnT5K6dOmq2NhYHThwQB9++L4yMk6obdv2uuSSOurUqbNefnmKHA6HqlWrrlWrVuqnn7Zr0qQpudvr3PlKffjhe5o8+Tl17HiFfvppu9at+6xINdlsMXr66f+ne+65V9HR5bRkyauSvOrVK+dU0HLlyumee4ZqxoyXdfjwITVvfplMJqP279+vjRs/18SJzysionCnqV5//Y1atux13X//KA0ZMjz3rqEmk0m9e+c8XkxMrG6+uacWLpwvi8WiOnXqau3az7Rv3z5JktFY8JHNd999Wz/99JMSE9uqfPkKOnBgv1atWqnWrdvk9qlRo6a+/Xabtm79SjabTVWqVCkwyA4ceJcefHCMxo9/IveuoZ988nG+fldccZXefPMN1avXQNWr54zRkSOH8/S59trr9d57KzRs2D26445+uuii6jpxIl07d/4mp9OlYcNGFmrfnUmxg2DFihW1YsUKTZ48WWvXrtWaNTl/dYiOjtYNN9ygMWPGnPUaQgAA4H+m33+T9cVJCn93hQwnjww4rr5GmWMflKv5ZX6uDsDpRowYrcaNm2j58jf19NNPKSsrSwkJF6hNm0T16dMvt9+TT07QrFnTtXjxQqWlpap69Rp65plJeW6ikpjYTiNGjNby5W/q448/VNu27fXQQ//TyJFDC3roAlWoUEHDh4/StGkvaf/+v1WzZm299NIMlS//7zVxd9zRTxdccIGWLn1Ny5e/KbPZrKpVL1T79h0KNRXGKVFRUZo5c45efnmKnn12gjwetxo3bqpXXpmX57TT4cNHyeVyafHiV+XxeHX55Veof/+BeuGF58542drFF1+iL77YqJdfnqzU1FSVL19eV1/dVYMHD8vtM3ToCE2a9Iwefvj/lJmZkWdOwNN17Hi5Hnrof1q4cIE+++xT1a/fUBMmTNRdd/XP02/QoHuUkpKs+fPnyGg0qHv3Hrrttj6aOvXfsG6xWDRjxmzNnTtbCxfO19GjRxUbG6s6dS5Vjx63FnrfnYnBe/rx4GLyer1KTs45FzY+Pv6M5xEHG7fbo+TkDH+XUWaYzUbFxUUpJSVDLpfH3+WgiBi/4McYBr+SHEPTr7/IOmWSwj94998AeM11yrz/QbmaNCuJcoskIyNDNWvm3JRhz55/cm/hXpbwHix58fFRMpnOfKWT3W7X7t1JqlChkiyW8FKsDIHkyScf1fbtP+jddwue9s7X0tPT1aXL5WcMjyUtO9uho0cPqnbtWmed173YRwRPZzAY8iR/AAAQmEw7flbU5OcU/tH7uW2O625UxtgH5W509vmxACDQfffdt/rxxx906aX15PF4tXnzRq1e/YlGjx7r79ICTokEQQAAENjMP22X9YXnFP7Jv38Rd9zQPScANmjox8oAoORYrZHavHmTlixZJIfDripVqmr06LHq3fsOf5cWcAiCAACUYeYfvpN18nMKX/2JJMlrMMhx083KHPOg3CVw1zkACCSXXlpfc+cu9HcZeZQrV05fffWdv8vIhyAIAEAZZP56a85NYNbm3MzNazTK0b2HMsc+KHedun6uDgDgbwRBAADKCq9XYZs3yTplkixfbMxpMpnkuLlnTgC8+BI/FwgACBQEQQAAgp3XK8u6NbJOeV5h23ImJPaGhcneq48yR46Rp2YtPxcI+Nt53yQfKHMIggCAMsHr9SozM9PfZfiU2WyUxZIz1YLL5ZE8Hlk/W62Y6S8p/KcfJUleS7jSe/VR6pBhcle9MGfFjMCfCqmsjx38IywsTAaD5HA4ZLGc+Tb6QFnicGTJYDAoLOzs8zQSBAEAQc/r9er666/WtpNHw8o6o6Sekh6RVONkW4akWZJeyHbo4JJXpSWv+qk6IHCYTCbFxsYqJeW4JCk8PFxS2ZjvGvgvt9utrKwM2e0ZiouLk8lkOmt/giAAIOhlZmaGRAg0S7pd0v8kXXqyLU3SNEkvSTrqn7JKVKtWbWS1Wv1dBsqQypUrS5KOHz+u9HQ/FwP4mNlsVtWqVRUTE3PuvqVQDwAApWbHjt1lL0g4HIpe8ZZiZ0+Xed8+SZI7JlZpg+5R+oBBuiMmVmVlhiyr1SqDgSM2KDkGg0FVqlRRxYoV5XQ6/V0O4DNms1kmk6nQn6EEQQBAmWK1WhUVFeXvMkpGVpYiXl8k6/SXZTqwP6ctIUGZw0Yqc8Bd8kaXU6R/KwSChslkOuepckAoIQgCABBoTpxQ5KIFss6cKuORw5Ikd6XKcoy6T9bRI+RweOV1efxcJAAgmBn9XcB/7d69W3feeaeaNm2qdu3aadKkScrOzi7SNhYuXKi6detqyJAhPqoSAICSZ0hLlXXKJJVv0UDRTz0q45HDcl9UTemTXlTy19vluHe4VNZOewUA+EVAHRFMTU3VgAEDVKNGDU2bNk2HDh3SxIkTZbfb9fjjjxdqG0eOHNGMGTNUvnx5H1cLAEDJMCQfU+ScmYqcN0fGtFRJkqtmLWXe94AcPXtJ57gFOAAARRVQQXDZsmXKyMjQ9OnTFRsbKynnNqhPPfWUhgwZoooVK55zG88//7w6d+6sAwcO+LhaAADOj/HQQUW+Ml2RC+fLkJkz15+r7qU5AfCmWyRzQP2YBgCUIQF1aujGjRuVmJiYGwIlqVu3bvJ4PNq8efM51//mm2/02Wef6f777/dhlQAAnB/j3j2KfuA+xbdoKOvMqTJkZsjZqIlSF7ymlA1fydHjNkIgAMCnAuqnTFJSknr06JGnzWazKSEhQUlJSWdd1+12a/z48br33nt1wQUX+LJMAACKxfTLDlmnTlH4eytk8OTc7MXZqo0yR49V9lVdJaZNAACUkoAKgmlpabLZbPnaY2JilJqaetZ133jjDWVlZWngwIElWpPZHFAHTYOayWTM8y+CC+MX/MryGJ7+WW02GwPus9u07WtFvDRZlk8+zm1zXtlF9rEPyJXYTlLhfiCX5TEMBYwfgEASUEGwuI4dO6apU6fqueeek8ViKbHtGo0GxcWVkbmoAojNxqxXwYzxC35lcQxP/+iPi4sKjHkEvV7ps8+kZ5+V1q/PaTMYpJ49pXHjFNa8uYp7C5iyOIahhPEDEAgCKgjabDalp6fna09NTVVMTMwZ13v55ZdVt25dXXbZZUpLS5MkuVwuuVwupaWlyWq1ylyMay08Hq/S0jKLvB4KZjIZZbNFKi0tS243818FG8Yv+JXlMczIyMj9f0pKhoo461DJ8ngU9vGHinjxBZl/+F6S5DWbld2rj+yj7pPnkjonC804y0YKVpbHMBQwfiXPZovkCCtQTAEVBGvVqpXvWsD09HQdOXJEtWrVOuN6e/bs0bZt29SyZct8y1q2bKm5c+eqY8eOxarJxYS9Jc7t9rBfgxjjF/zK4hie/nxcLj89P6dT4SveknX6SzLv/F2S5I2MVFa/gcoaOlKeqheeLPD8ayuLYxhKGD8AgSCggmDHjh01a9asPNcKrlq1SkajUe3atTvjev/73/9yjwSe8swzzygiIkJjx45V3bp1fVo3ACCEZWUp4o3Fss6YKtPff0mSPLYYZd09WFl3D5W3QgU/FwgAQH4BFQR79+6tJUuWaPjw4RoyZIgOHTqkSZMmqXfv3nnmEBwwYIAOHDigNWvWSJLq1auXb1s2m01Wq1WtW7cutfoBAKHDkJaqiFfnyTp7poxHj0iSPAkXKPPeEbIPHCRvufw3PwMAIFAEVBCMiYnRokWLNH78eA0fPlxRUVHq2bOnxowZk6efx+OR2+32U5UAgFBmOHJE1jkzFbFgrozpOWejuKtVV+awUbLf3leK5EYgAIDAZ/B6vV5/FxGo3G6PkpOLfjE/CmY2GxUXF6WUlAyujQhCjF/wK8tjmJGRoZo1K0uS9uz5xyd3DTXuSZJ11nRFLH1NBrtdkuSqe6kyR42Vo3sPKay49wAtvLI8hqGA8St58fFR3CwGKKaAOiIIAECgMW//XpHTX1b4h+/9Owl88xbKHHW/sq+5VjLySygAIPgQBAEA+C+vV2Eb1ss67SVZNn2e25zd+SpljhwjZ9v2OXMCAgAQpAiCAACc4nIp/IN3FTn9ZYX9/KMkyWsyydG9hzJH3Cd3g4Z+LhAAgJJBEAQAIDNTEUuXyPrKdJn2/SlJ8lqtyuo7QFlDhstzUTU/FwgAQMkiCAIAQpbh2DFFLpijyPmzZUxOliR5ypdX1t33KuvOu+WNL+/nCgEA8A2CIAAg5Bj3/anIWdMV+cYSGTIzJUnuajWUOWyk7L3vkKxWP1cIAIBvEQQBACHD9NOPss54WeHvvyPDyflonY2aKGvkfXJcf5Nk5sciACA08BMPAFC2nboD6CvTZFm/Nrc5+/IrlDniPjk7duIOoACAkEMQBACUTdnZCn9nuayzZsj8y8+SJK/RKMdNNytr+Gi5Gjf1b30AAPgRQRAAUKYYU48rct4sRc6bLdOhg5IkrzVKWX36KmvwMHlq1PRzhQAA+B9BEABQJtSSdJ+kCxOby5iVJUlyV6ykrHvulb3/nfLGxvmzPAAAAgpBEAAQ1Mzbtiph2kvaKckkSVlZctVroMxhI+W4uadksfi5QgAAAg9BEAAQfNxuWVZ+JOsr0xT2zde5zaskNV28TKau3bgBDAAAZ0EQBAAEjxMnFLHsNVlnz5Tpz72SJK/FohM33aLE5cu0Q9KeDpcrihAIAMBZEQQBAAHPePAfRc6fo4hF82U8flyS5ImLU9bAu5Q1aIhOREdrx/Jl/i0SAIAgQhAEAAQs8w/fKXL2TIV/8K4MTqckyVWzlrKGDJe9Vx8pKiqnY0aGH6sEACD4EAQBAIHF5ZJl5Yeyzp6psG1bc5udrdooc9goZXftJplMfiwQAIDgRxAEAAQEQ0qyIl5brMgFc2Ta/7ckyRsWJsdNtyhr8FC5mjb3c4UAAJQdBEEAgF+Zdv6uyLmzFPHWGzKcnP/PU6GCsvoPkv3Ou+WpWMnPFQIAUPYQBAEApc/jkWX9Z4qc84os69fmNrsaNFLmkGFydO8hRUT4sUAAAMo2giAAoPScOKGIt5Yqct4smf/YJUnyGgzKvuY6ZQ0ZJmdiO+b/AwCgFBAEAQA+Z/xrX870D68tkjEtVZLkKWeTvU8/Zd01WJ4aNf1cIQAAoYUgCAAneb1eZWZm+rsMnzGbjbJYpIyMDLlcHt8/oNeriK+2qNziBbJ+ukoGT85jOmvUVNqAu3SiZy95o6Nz+p7n9A9ledwAAPAFgiAAKCcEXn/91dp22nQFKJ5oSX0ljZBU47T2NZJekvTJ3j3yPvWo9NSjpV8cAACQRBAEAEk5R5QIgeenrqRhkgZKsp1sOyFpsaQZkn4phRpatWojq9VaCo8EAEBwIwgCwH/s2LG7TIYJs9mouLgopaSU4Kmhbrci166RbfGrity8MbfZWbO20voN1Iket+lam03XlsyjnZPVapWBm80AAHBOBEEA+A+r1aqoqCh/l1HizGajoqKilJ2t8w6ChmPHFPH6IkUunC/T339JkrxGo7KvvkZZgwbL2bGTZDSq7MVpAADKBoIgAKDQzN9/q8gFcxX+3goZHA5Jkic+XvY7BihrwCB5qlX3c4UAAKAwCIIAgLOz2xX+wbuKXDBHYd99m9vsbNpMWYMGM/k7AABBiCAIACiQKekPRSxeqIhlr8mYnCxJ8losctx0i7LuGixX88v8XCEAACgugiAA4F9OpyyrPlbkwgWybPo8t9ld9ULZBwxS1h0D5E1I8Ft5AACgZBAEAQAy/rVPEa8tVMTrS2Q6fEiS5DUYlH3V1bL3H6TsK7tIZn5kAABQVvBTHQBCldsty2efKmLRfFnWrpHB681pvqCi7Hf0k73vQHkuqubnIgEAgC8QBAEgxBgOHJB18UJFvLZIpgP7c9uzO16hrAGDlH3NtVJYmB8rBAAAvkYQBIBQ4PHIvHad9MYixXzwgQxud05zfLzst/dTVr+B8tSq7eciAQBAaSEIAkAZZjx0UOHLXlfka4tk+nOvJMkgKbtNW9kHDJLjuhuZ+gEAgBBEEASAssblyrn2743FsqxZ/e/RP1uMjAMHKLV3P2VfXNfPRQIAAH8iCAJAGWFM2q3Ipa8pfNnrMh06mNvubJ2orDv6y31LD8VVTZAnJUNyefxYKQAA8DeCIAAEs6wshX/8gSJeXyzL5k25zZ4KFWS/rY/sd/SX+5I6kiSz2eivKgEAQIAhCAJAEDL99KMiX1+k8BXLZUw9LunkvH+dr5K9T39ld+0mWSz+LRIAAAQsgiAABAlDWqrCVyxXxBtLFLb9+9x290XVZL+9r+y975Dnwov8WCEAAAgWBEEACGRut8K+2KiIZa8rfOWHMmRlSZK8YWFyXHuD7Hf0l7NjJ8nIaZ8AAKDwCIIAEIBMSX8o/M03FPHWMpn2/53b7qp7qex39Je9Z295K1TwY4UAACCYEQQBIEAY0lIV/v67injzDYV9/VVuuycmVo7uPWTvdbtcLVpKBoMfqwQAAGUBQRAA/MntVtimDf+e+mm3S5K8RqOyr7hSjt53yNH1WiZ9BwAAJYogCAB+YNq9S+FvLlXEW0tlOrA/t91Vp67svfvK0fM2eSpV9mOFAACgLCMIAkApMRxPUfgH7+Wc+rlta267JzZWjpt7yt77DrmaNufUTwAA4HMEQQDwJYdDljWrFfH2m7J8tlqG7GxJJ0/9vLKL7L36KPvqbpz6CQAAShVBEABKmsejsK+2KHzFWwr/4L3cCd8lyVW/oew9e8lxay95KlbyX40AACCkEQQBoISYfvtVEW+/qfAVb+WZ8sFdpaocPW6Tvcdtctdv4McKAQAAchAEAeA8GA/+o/B33lb4228q7Ocfc9s95Wxy3Nhdjp695Exsx4TvAAAgoBAEAaCIDOlpsnz8oSKWv6mwLzbI4PVKkrxhYcq+qqvsPW9TdpdruO4PAAAELIIgABRGRobCP1ut8HdXyLL2UxkcjtxFztaJOdf93dhd3rh4PxYJAABQOARBADgTh0OWdZ8p/L23Fb76ExkyM3MXuS6pI0fPXrLfcqs81Wv4r0YAAIBiIAgCwGnMkiI3rFO5Tz6W5ZOPZUxLzV3mrl5Dju49ZO/eI+emL8z3BwAAghRBEADcbkV8uVmzJPWQVGHgHf8uqlxFjptukePmHkz2DgAAygyCIIDQ5PHI/M02hb+/QuHvvyvT4UMacnKRu3wFZd90sxzde8jZqg13/AQAAGUOQRAoIV6vV5mnXUNW1pjNRlksUkZGhlwuj7/LKR63W+HffK2oVR/LumqlzAf/+XeRLUavpqVqmaR5X32vqJgY/9UJAADgYwEXBHfv3q0JEybo+++/V1RUlG666Sbdd999slgsZ1zn8OHDWrhwoTZv3qx9+/apXLlyatmypcaOHauqVauWYvUIVV6vV9dff7W2bdvq71LwHyZJlyvnlM9bJFU6bVm6pPckLZO0Ji1VzlMLzAH30QgAAFCiAuq3ndTUVA0YMEA1atTQtGnTdOjQIU2cOFF2u12PP/74GdfbsWOH1qxZox49eqhJkyZKSUnRK6+8oltvvVUfffSR4uO5nTt8KzMzkxAYQMIkdVZO+LtZUoXTlqVIel/SCklrJDn+s26rVm1ktVpLo0wAAAC/CagguGzZMmVkZGj69OmKjY2VJLndbj311FMaMmSIKlasWOB6LVq00CeffCLzaX/Fb968uTp16qT33ntPgwYNKo3yAUnSjh27y2SQMJuNiouLUkpKYJ4aanDYFbFpo6I++UiRn30q0+l3+4yLU+bV3ZTZ7TplJbZXJ4tFnc6wHavVKgM3hAEAAGVcQAXBjRs3KjExMTcESlK3bt30xBNPaPPmzbrlllsKXM9ms+Vrq1SpkuLj43X48GFflQsUyGq1Kioqyt9llDiz2aioqChlZytwguCJE7J8vk7hH70vy6erZDyRnrvIk3CBHNfdIMcN3eVMbCeZzTJKKnsjAwAAUHQBFQSTkpLUo0ePPG02m00JCQlKSkoq0rb27NmjY8eOqXbt2udVk9nM3QJLislkzPNvWXL668RsNpbJ102gjJ/h8CGFrfpEYZ98rLDP18ng+PfkTk/lKsq+4SY5b+ouV6s2kskkKcA+6PwoUMYQxccYBjfGD0AgCajfj9LS0go8uhcTE6PU1NQC1iiY1+vVhAkTdMEFF+i6664rdj1Go0FxcRw/KGk2W6S/Syhxp9/LKC4uqkweETzFL+O3a5f03nvS++9LW7ZIXu+/y2rVkm6+WerZU8ZWrRRhNCqi9CsMKmXxPRhqGMPgxvgBCAQBFQRLyrRp0/TVV19p3rx553WtlsfjVVpa2Z0OoLSZTEbZbJFKS8uS2x0gpxaWkIyMjNz/p6RkKDvbj8X4SKmOn8cj03ffKuyTj2X5+EOZdv6eZ7GrWXM5u12n7Guvl6de/X8neU/N8m1dQa4svwdDBWMY3Bi/kmezRXKEFSimgAqCNptN6enp+dpTU1MVU8g5vd566y3NmDFDTz/9tBITE8+7poC5FqoMcbs9ZW6/nv58XK6y9/xO57PxczgUtnmjwld+LMvqlTIdOpi7yGs2y9mugxzdrlf2NdfKU+W0aWHcXkne/NvDGZXF92CoYQyDG+MHIBAEVBCsVatWvmsB09PTdeTIEdWqVeuc669Zs0ZPPvmkRo0apZ49e/qqTAAlxHDkiCxrP1X4mtUKW782781eoqKVfdXVyu52nbKv7CJvTKz/CgUAAChjAioIduzYUbNmzcpzreCqVatkNBrVrl27s667detWjR07VrfeequGDx9eGuUCKCqvV+aff5Tl01WyfLZa5u++leG06/3cFSspu+u1clx7nZztOkrh4X4sFgAAoOwKqCDYu3dvLVmyRMOHD9eQIUN06NAhTZo0Sb17984zh+CAAQN04MABrVmzRpK0e/duDR8+XDVq1NBNN92kH374IbdvfHy8qlWrVtpPBcApGRmybNogy5pVsqxZLdPBf/IsdjZqouwuVyu7yzVyNWshGbnWAwAAwNcCKgjGxMRo0aJFGj9+vIYPH66oqCj17NlTY8aMydPP4/HI7Xbnfr99+3alp6crPT1dt99+e56+N998syZOnFgq9QPIYfxzryyfrc455XPzpjxTPHitVmV3vELZXboq+6qr5alcxY+VAgAAhCaD1+vlLgtn4HZ7lJycce6OKBSz2ai4uCilpGSUuYvkMzIyVLNmZUnSnj3/lMnpI846ftnZCtu2VZa1a2RZs0rm33/Ls9hdrbqyu3SVo8s1crZtL0UwwYM/lOX3YKhgDIMb41fy4uOjuGsoUEwBdUQQQPAw7t0jy7rPZPl8rcI2bZQx40TuMq/JJGerNsq+qquyr75G7jp1/53iAQAAAH5HEARQOBkZ0pbPFfn+hzJ/tkbmPXnv8OupkKDsTp1zTvm84kp5Y+P8VCgAAADOhSAIoGBer0y//pJz1G/9WoVt3SJlZ+vUSZ1es1nOlq2V3fkqOTtfJVeDRtzoBQAAIEgQBAHkMhw9KssXGxS2fq0s69fmu8OnatSQ44orZb/8Sjk7dJS3nM0/hQIAAOC8EASBUJaRobCtW2TZ8LnCNm1Q2M8/5lnsjYxUdrsOcl5xpdxdrlbMZU2UeTyTmxwAAAAEOYIgEEqcTpm//06WTZ8rbOPnCvvmaxmczjxdXPUbKvvyK3JO+WydmHuHT7PZyA1fAAAAygiCIFCWeb0y/f6bLBvX5xzx2/yFjCfS83RxX1RN2R07ydmxk7LbXy5vQoKfigUAAEBpIQgCZYnXmzOZ+5YvcoLfpg0yHT6Up4snLk7ZHU4Gvw6Xy1OjJkf6AAAAQgxBEAhmXm/OfH5bvlDYyS/T/r/zdomMlLN1orI7XiHn5Z24uycAAAAIgkBQOT34bd6UE/wO7M/bJSxMrmYtlN2uvZwdr5DzslZSeLifCgYAAEAgIggCgczrlXFPUt7g98+BvF3CwuRqfllO8GvbISf4Wa1+KhgAAADBgCAIBBK3W6Zff1HY1i8V9vWXCvvqywKDn7NFSznbtpezXQc5W7Qk+AEAAKBICIKAP2VmKuz7b3OC39YvZf5mm4zpaXm6eC2Wf4Nf2/YEPwAAAJw3giBQigxHjyrs669yj/iZt/8gg8uVp48nupxcLVvJ2TpRzlZtcoJfZKSfKgYAAEBZRBAEfMXrlWnPbpm/3vrvEb8/duXr5q5UWc42iSeDX6Lc9RtIJpMfCgYAAECoIAgCJaScpJaSYqa9KOtP2xX27TYZk5Pz9XPVqy9nyzZytm4jZ+tEeS6qxjx+AAAAKFUEQaA4PB6Zdv6usG+3yfztNsVs26rjkoySNGVSbjevxSJXsxY5R/tat5HzslbyxsX7qWgAAAAgB0EQKARD8jGFffeNzN9sywl/332b76YukpQk6YIbb5Za51zb52rQiDn8AAAAEHAIgsB/ZWbKvOMnhf3wnczffyfzd9/InLQ7XzevNUrOZs3latFS6Q0bq/HggTosac/LMxUVFVX6dQMAAACFRBBEaMvOlvnXHTmBb/v3Cvv+O5l+/1UGtztfV9cldeRq0TJnKocWLeW+tJ5kznkLZWVk6HBp1w4AAAAUE0EQocPlyrmu74fvZD719csOGbKz83V1X1BRrmbN5WrSTM7mLeRqfpm8sXF+KBoAAAAoeQRBlE0ul0y7dsr803aZf/xBYd9/J/PPP8qQlZWvqycuTq6mzeVs2kyupi3katpMnkqVuZMnAAAAyiyCIIJfZqbMv/ws808/yvzzjznh79dfZHA48nX1RJeTq0lTuZo2l6tpMzmbNpenWnVCHwAAAEIKQRBBxZB8LCfwnQp9P/8o0x+7ZPB48vX1RJeTq2EjuRo1zgl+zVrIXau2ZDT6oXIAAAAgcBAEEZg8Hhn37pH5119k3vHTySN9P8q0/++CuydckBP4GjWRs1FjuRo2lqdGTUIfAAAAUACCIPzOkHxM5l92yPzrDpl+/SXnNM/ffpMhM6PA/u4aNeVq2Phk8MsJf56KlUq5agAAACB4EQRRehwO6Yddsnz1jcJ/+ikn+P2yQ6ZDBwvs7g0Pl6vOpXLXb5Ab+FwNGspriynlwgEAAICyhSCIkud2y/TnHpl+/13m33+V6ZefZf71F5n+2CW53SpoqnV3tRpy1a8vV/0GctdrIFf9hnLXrJU7Tx8AAACAksNv2Sg+p1OmPUky/f6bzDt/k2nnbzL//rtMu3cVeMdOSVJsrJz1G8h1aX256jeUq159uevVlze6XOnWDgAAAIQwgiDOzeGQafcfOWHv999k3vm7TDt/k2n3HzK4XAWu4o2IkOuSunLXqStXvQZyN2ggb8NGim1wiU4cz5TLlf8unwAAAABKB0EQuQzJx2T64w+Zdu+SefcfMu3amRP49u6Rwe0ucB2vNUquunXlrnNpzvV8devKVedSeS6qJplMefqazUbm6wMAAAACAEEw1NjtMu3dI9Mfu/4NfCf/b0xJOeNqHltMztG9upfmhL6T4c9TpSpTNAAAAABBhiBYFnk8Mv5zQKbTQl5O4PtDxr/+lMHrPeOq7qoXyl3rYrkvvljuiy85eZTv0pzpGTiaBwAAAJQJBMFg5XbLuP/vnKN7e5Ly/rs3SYbMzDOu6ilnywl6tS+Ru/bJwFfrYrlr1ZaiCrqnJwAAAICyhCAYyBwOmfb9KdPeJJn2JMm4d8+/gW/fnzI4nWdc1Ws2y129htwXX5I38NW+RN6EBI7uAQAAACGMIBggjH/tU/h77+SEvpNhz7j/77Oexum1WOSuVl3umrXkrlFT7pq15Dn5r7taDSksrPSeAAAAAICgQRAMEOWGD5blqy352j1R0f+Gu//866lcJd+dOQEAAADgXAiCASJr+Gh5qteQ+8KLTga92nLXqMlpnAAAAABKHEEwQGR37absrt38XQYAAACAEMAEcAAAAAAQYgiCAAAAABBiCIIAAAAAEGIIggAAAAAQYgiCAAAAABBiCIIAAAAAEGIIggAAAAAQYgiCAAAAABBiCIIAAAAAEGIIggAAAAAQYsz+LgA5vF6vMjMz/V2GT5nNRlksUkZGhlwuj7/LKVFlfewAAABQthAEA4DX69X111+tbdu2+rsUAAAAACGAU0MDhMFg8HcJKAGtWrWR1Wr1dxkAAADAWXFEMAAYDAZ9+OHqMn96odlsVFxclFJSyt6poadYrVZCPQAAAAIeQTBAGAwGRUVF+bsMnzKbjYqKilJ2tspsEAQAAACCAaeGAgAAAECIIQgCAAAAQIghCAIAAABAiAm4ILh7927deeedatq0qdq1a6dJkyYpOzv7nOt5vV7NmTNHnTp1UuPGjdWrVy/98MMPvi8YAAAAAIJMQAXB1NRUDRgwQE6nU9OmTdOYMWP01ltvaeLEiedcd+7cuZo6daoGDhyo2bNnKyEhQYMGDdJff/1VCpWfH4/RqBNOjw6lOZTh9MhjPPOwFKWvL7ddnDqOZ7n08+6jSs1ylei2CysY910g1VzY8fN1Hb7ad16DQZkuj46eyFamyyPvWe7+Gig1+2oMA+l1Fyj7zt99T/X3xRiGyr7zdx3B+DlanP4AgkdA3TV02bJlysjI0PTp0xUbGytJcrvdeuqppzRkyBBVrFixwPUcDodmz56tQYMGaeDAgZKkFi1a6JprrtH8+fP15JNPls4TKAaXwaAZy7dr+64juW1NLknQ8J6NZfZ6i93Xl9sOlDqKIlBqDsb9HIx1FLVmt8GgmSt+1Pc7/+3frG6Cht3SWKYArZk6qDlU66DmwKwDQPAJqD/rbNy4UYmJibkhUJK6desmj8ejzZs3n3G97777TidOnFC3bt1y2ywWi7p06aKNGzf6suTz4jEaNePtH/N8wErS9l1HNOPtH/P81a0ofX257UCpoygCpeZg3M/BWEdRa/YWEAIl6fvfj2jmOz/mOTIYKDVTBzWHah3UHJh1AAhOAfUuTkpKUq1atfK02Ww2JSQkKCkp6azrScq3bu3atXXgwAHZ7fZi12Q2G332lelw5fuAPWX7riPKdLiK1deX2w6UOny1nwNl3wVjzYFSR1FrznJ68oXAU77//YiynJ6Aq5k6qDlU66DmwKzDn18Aii+gTg1NS0uTzWbL1x4TE6PU1NSzrmexWBQeHp6n3Wazyev1KjU1VREREUWux2g0KC4uqsjrFdb+5KNnXZ6R5VLNKjFF7uvLbR9IOXbWvpn20qmjKAKl5mAc72Cso6g1H/4z+az97dkuVa+c87lUlNdSWd/PgVIHNYdWHdQcmHUACE4BFQQDjcfjVVpaps+2HxUZdo7lZqWkZBS5ry+3bY04+0vGGlE6dRRFoNQcjOMdjHUUteYIy9lfHxGW4r3+y/p+DpQ6qDm06qDmwKzDn2y2SJlMHBkEiiOg3jk2m03p6en52lNTUxUTc+a/OtlsNmVnZ8vhcORpT0tLk8FgOOu65+JyeXz2ZQ03q8klCQU+bpNLEmQNNxerry+3HSh1+Go/B8q+C8aaA6WOotYcGWZUs7oF929WN0GRYcaAq5k6qDlU66DmwKzDn18Aii+ggmCtWrXyXQuYnp6uI0eO5Lv+77/rSdKePXvytCclJalKlSrFOi20NBg9Hg3v2TjfB+2pO3IZPZ5i9fXltgOljqIIlJqDcT8HYx1Frdng9WrYLY3zhcFTdw01nHZnvECpmTqoOVTroObArANAcDJ4vYFz/9/Zs2dr1qxZ2rBhQ+61gsuXL9cTTzyh9evXn3X6iLZt26pv374aM2aMJMnpdKpr167q2LFjsaePcLs9Sk72/WkPHmPORdkZWS5FRZplDTef8QO2KH19ue1TfTOzXLL6sY6iCJSag3m8g6mOotbsNRiU5XQr0+6SNcKsyDBTnhBY0LYL81oq6/s5UOqg5tCqg5oDsw5/iI+P4tRQoJgCKgimpqbquuuuU82aNTVkyBAdOnRIEydO1A033KDHH388t9+AAQN04MABrVmzJrdtzpw5mjZtmh544AHVqVNHS5cu1RdffKH3339fF110UbHqKa0gGCrMZqPi4qKUkpLB6RxBiPELfoxh8GMMgxvjV/IIgkDxBdTNYmJiYrRo0SKNHz9ew4cPV1RUlHr27Jl7lO8Uj8cjt9udp+2ee+6R1+vVggULlJycrHr16mn+/PnFDoEAAAAAUFYF1BHBQMMRwZLFX0KDG+MX/BjD4McYBjfGr+RxRBAoPt45AAAAABBiCIIAAAAAEGIIggAAAAAQYgiCAAAAABBiCIIAAAAAEGIIggAAAAAQYgiCAAAAABBiCIIAAAAAEGKYUP4svF6vPB52T0kymYxyu5lEN1gxfsGPMQx+jGFwY/xKltFokMFg8HcZQFAiCAIAAABAiOHUUAAAAAAIMQRBAAAAAAgxBEEAAAAACDEEQQAAAAAIMQRBAAAAAAgxBEEAAAAACDEEQQAAAAAIMQRBAAAAAAgxBEEAAAAACDEEQQAAAAAIMQRBAAAAAAgxBEEAAAAACDEEQQAAAAAIMQRBlJhPPvlEQ4cOVceOHdW0aVPddNNNevvtt+X1evP0W758ubp27apGjRrpxhtv1Pr16/1UMf5rw4YN6tu3r9q0aaOGDRvqyiuv1LPPPqv09PQ8/datW6cbb7xRjRo1UteuXbVixQo/VYyzycjIUMeOHVW3bl399NNPeZbxPgxM77zzjurWrZvv64UXXsjTj/ELfO+++666d++uRo0aqXXr1rr77rtlt9tzl/M5CsDfzP4uAGXHwoULVbVqVY0bN05xcXHasmWLHnvsMR08eFAjRoyQJH388cd67LHHdO+996pNmzZauXKlRowYoddff11Nmzb17xOAjh8/rsaNG6tfv36KjY3Vrl27NG3aNO3atUsLFiyQJH3zzTcaMWKEevbsqf/973/66quv9MgjjygqKkrXXHONn58BTjdz5ky53e587bwPA9+8efNUrly53O8rVqyY+3/GL/C98sormjt3ru699141bdpUKSkp+vLLL3Pfj3yOAggEBu9/D9cAxZScnKz4+Pg8bY899phWrlypbdu2yWg0qmvXrmrYsKEmT56c26d3794qV66c5s6dW9oloxDeeustPfbYY9q4caMqVqyou+66SxkZGVq2bFlun/vvv1+//vqrVq5c6cdKcbrdu3erZ8+eeuihh/TEE0/o7bffVqNGjSSJ92EAe+edd/Twww/ryy+/zPd5egrjF9iSkpJ0ww03aObMmbr88ssL7MPnKIBAwKmhKDEF/dJSr149nThxQpmZmfrrr7+0d+9edevWLU+fa6+9Vl9++aWys7NLq1QUQWxsrCTJ6XQqOztbW7duzfcX62uvvVa7d+/W33//7YcKUZAJEyaod+/eqlmzZp523ofBjfELfO+8844uvPDCM4ZAPkcBBAqCIHzq22+/VcWKFRUdHa2kpCRJyveLae3ateV0OvXXX3/5o0QUwO12y+FwaMeOHZoxY4Y6d+6sCy+8UPv27ZPT6VStWrXy9K9du7Yk5Y4x/GvVqlXauXOnhg8fnm8Z78PgcP3116tevXq68sorNXv27NxTChm/wLd9+3bVqVNHM2fOVGJioho2bKjevXtr+/btksTnKICAwTWC8JlvvvlGK1eu1EMPPSRJSk1NlSTZbLY8/U59f2o5/O+KK67QoUOHJEkdOnTIPQWNMQx8WVlZmjhxosaMGaPo6Oh8yxnDwJaQkKCRI0eqSZMmMhgMWrdunV566SUdOnRIjz/+OOMXBI4cOaKff/5ZO3fu1BNPPKHIyEjNmjVLgwYN0qeffsoYAggYBEH4xMGDBzVmzBi1bt1a/fv393c5KKI5c+YoKytLf/zxh1555RXde++9evXVV/1dFgrhlVdeUfny5dWjRw9/l4Ji6NChgzp06JD7ffv27RUeHq5Fixbp3nvv9WNlKCyv16vMzEy9/PLLuvTSSyVJTZo0UefOnfXaa6+pffv2fq4QAHJwaihKXFpamu655x7FxsZq2rRpMhpzXmYxMTGSlG8qgrS0tDzL4X+XXnqpmjVrpltvvVUzZ87U1q1btWbNGsYwwO3fv18LFizQqFGjlJ6errS0NGVmZkqSMjMzlZGRwRgGoW7dusntduvXX39l/IKAzWZTbGxsbgiUcq61rl+/vv744w/GEEDAIAiiRNntdg0ZMkTp6en5bn9+6nqI/17/kJSUpLCwMF100UWlWisKp27dugoLC9O+fftUrVo1hYWFFTiGkvJd84LS9ffff8vpdGrw4MFq2bKlWrZsmXsUqX///rrzzjt5HwY5xi/wXXzxxWdc5nA4+BwFEDAIgigxLpdL9913n5KSkjRv3rw8815J0kUXXaQaNWpo1apVedpXrlypxMREWSyW0iwXhbR9+3Y5nU5deOGFslgsat26tVavXp2nz8qVK1W7dm1deOGFfqoSUs5dehcvXpzn6+GHH5YkPfXUU3riiSd4HwahlStXymQyqX79+oxfELjiiit0/Phx/frrr7ltKSkp2rFjhxo0aMDnKICAwTWCKDFPPfWU1q9fr3HjxunEiRP64YcfcpfVr19fFotFI0eO1AMPPKBq1aqpdevWWrlypX788Ue99tpr/iscuUaMGKGGDRuqbt26ioiI0G+//ab58+erbt26uuqqqyRJQ4cOVf/+/fXkk0+qW7du2rp1qz766CO9+OKLfq4eNptNrVu3LnBZgwYN1KBBA0nifRjA7rrrLrVu3Vp169aVJK1du1ZvvfWW+vfvr4SEBEmMX6C76qqr1KhRI40aNUpjxoxReHi45syZI4vFoj59+kjicxRAYGBCeZSYzp07a//+/QUuW7t2be5fOZcvX665c+fqwIEDqlmzpsaOHasrrriiNEvFGcyZM0crV67Uvn375PV6VbVqVXXp0kV33XVXnjtQrl27Vi+99JL27NmjKlWqaPDgwerZs6cfK8eZbN26Vf37988zobzE+zBQTZgwQZs2bdLBgwfl8XhUo0YN3XrrrerXr58MBkNuP8YvsCUnJ+vZZ5/V+vXr5XQ6ddlll+nhhx/Oc9oon6MA/I0gCAAAAAAhhmsEAQAAACDEEAQBAAAAIMQQBAEAAAAgxBAEAQAAACDEEAQBAAAAIMQQBAEAAAAgxBAEAQAAACDEEAQBAAAAIMQQBAEAAAAgxBAEAQAAACDEEAQBAAAAIMQQBAEAAAAgxBAEASAI7d+/X08++aS6du2qxo0bq3Xr1ho1apT+/vvvfH1/++039e3bV40bN1bHjh01c+ZMrVixQnXr1s3Xf8OGDerTp4+aNm2qZs2aafDgwdq1a1dpPS0AAFBKDF6v1+vvIgAARbNq1Sq98soruvLKK1WpUiXt379fS5cuVXR0tD7++GNFRkZKkg4dOqQbb7xRktSvXz9ZrVYtX75cFotFv/32m9auXasLL7xQkvTee+9p3Lhxat++vTp16qSsrCwtXbpU6enpevfdd3P7AQCA4EcQBIAgZLfbFRERkafthx9+UK9evfTcc8+pe/fukqQJEybotdde07vvvqt69epJko4fP66uXbvq+PHjuUEwIyNDnTp10jXXXKPx48fnbvPo0aO65ppr1K1btzztAAAguHFqKAAEodNDoNPpVEpKiqpVqyabzaZffvkld9mmTZvUtGnT3BAoSbGxsbrhhhvybG/Lli1KS0vTddddp+Tk5Nwvo9GoJk2aaOvWrb5/UgAAoNSY/V0AAKDo7Ha7Zs+erXfeeUeHDh3S6Sd3pKen5/5///79atq0ab71q1Wrluf7vXv3SpIGDBhQ4ONFR0eff9EAACBgEAQBIAiNHz9e77zzjgYMGKCmTZuqXLlyMhgMGjNmjIpzxv+pdSZNmqSEhIR8y00m03nXDAAAAgdBEACC0OrVq9W9e3eNGzcut83hcOQ5GihJVatW1Z9//plv/X379uX5/qKLLpIklS9fXm3btvVBxQAAIJBwjSAABKGCjtAtWbJEbrc7T1v79u31ww8/6Ndff81tO378uD788MM8/Tp06KDo6GjNnj1bTqcz37aTk5NLqHIAABAIOCIIAEGoU6dOev/99xUdHa2LL75YP/zwg7Zs2aLY2Ng8/e6++2598MEHuvPOO9W3b9/c6SMqV66s48ePy2AwSMq5BvDJJ5/Ugw8+qFtuuUXXXnut4uPjdeDAAW3YsEHNmzfX448/7odnCgAAfIEgCABB6JFHHpHRaNSHH34oh8Oh5s2b69VXX9Xdd9+dp1/lypW1ePFiTZgwQbNnz1Z8fLzuuOMORUZGasKECQoPD8/te8MNN+iCCy7QnDlzNH/+fGVnZ6tixYq67LLLdMstt5T2UwQAAD7EPIIAEIKefvppvfnmm/r++++5EQwAACGIawQBoIyz2+15vk9JSdEHH3ygFi1aEAIBAAhRnBoKAGVcr1691KpVK9WuXVtHjx7VihUrdOLECQ0bNszfpQEAAD/h1FAAKOOmTJmi1atX6+DBgzIYDKpfv75GjBjBNBEAAIQwgiAAAAAAhBiuEQQAAACAEEMQBAAAAIAQQxAEAAAAgBBDEAQAAACAEEMQBAAAAIAQQxAEAAAAgBBDEAQAAACAEEMQBAAAAIAQ8/8BiD0Ut2sgiMcAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize=(8,5))\n",
        "ax = sns.scatterplot(x=\"age\", y=\"chd\", data=maladie)\n",
        "plt.plot(prop_chd['age'], prop_chd['prop_chd'], color='black', label='Freq. maladie')\n",
        "plt.plot(reglog['age'], reglog['prop_chd'], color='red', label='Courbe logistique')\n",
        "ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ix-1JCcP4Q0h"
      },
      "source": [
        "Régression avec l'ensemble des variables, en utilisant la fonction glm (modèle linéaire généralisé) avec option \"binomial\" pour avoir une régression logistique:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e2W6qpmG4Q0h",
        "outputId": "7158fcf6-209c-4321-f398-1f71a930d258",
        "collapsed": true
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                 Generalized Linear Model Regression Results                  \n",
            "==============================================================================\n",
            "Dep. Variable:                    chd   No. Observations:                  462\n",
            "Model:                            GLM   Df Residuals:                      452\n",
            "Model Family:                Binomial   Df Model:                            9\n",
            "Link Function:                  Logit   Scale:                          1.0000\n",
            "Method:                          IRLS   Log-Likelihood:                -236.07\n",
            "Date:                Tue, 11 Aug 2026   Deviance:                       472.14\n",
            "Time:                        13:48:26   Pearson chi2:                     452.\n",
            "No. Iterations:                     5   Pseudo R-squ. (CS):             0.2353\n",
            "Covariance Type:            nonrobust                                         \n",
            "===================================================================================\n",
            "                      coef    std err          z      P>|z|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------\n",
            "Intercept          -6.1507      1.308     -4.701      0.000      -8.715      -3.587\n",
            "famhist[T.True]     0.9254      0.228      4.061      0.000       0.479       1.372\n",
            "sbp                 0.0065      0.006      1.135      0.256      -0.005       0.018\n",
            "tobacco             0.0794      0.027      2.984      0.003       0.027       0.132\n",
            "ldl                 0.1739      0.060      2.915      0.004       0.057       0.291\n",
            "adiposity           0.0186      0.029      0.635      0.526      -0.039       0.076\n",
            "typea               0.0396      0.012      3.214      0.001       0.015       0.064\n",
            "obesity            -0.0629      0.044     -1.422      0.155      -0.150       0.024\n",
            "alcohol             0.0001      0.004      0.027      0.978      -0.009       0.009\n",
            "age                 0.0452      0.012      3.728      0.000       0.021       0.069\n",
            "===================================================================================\n"
          ]
        }
      ],
      "source": [
        " reglog2 = smf.glm('chd~sbp+tobacco+ldl+adiposity+famhist+typea+obesity+alcohol+age',\n",
        "                   data=maladie, family=sm.families.Binomial()).fit()\n",
        "print(reglog2.summary())"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6JzqyblJ4Q0i"
      },
      "source": [
        "Certaines des variables obtenues ont des $p$-valeurs inférieures au seuil de 5 %, ce qui indique qu'elles sont bien significatives. Certaines ne sont pas en dessous de ce seuil."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Analyse de la régression :**\n",
        "\n",
        "1. Informations générales du modèle\n",
        "\n",
        "- Nombre d'observations : 462.\n",
        "- Méthode : GLM binomial avec lien logit (régression logistique).\n",
        "- Log-vraisemblance = -236.07. Valeur élevée donc bon modèle.\n",
        "- Deviance $D=472.14$ et coef de Pearson $\\chi^2 = 452$ (mesure de l'ajustement). Valeur raisonnable.\n",
        "- Pseudo $R^2=0.2353$. 23,5 %. Valeur convenable, courante pour un modèle logistique en épidémiologie.\n",
        "\n",
        "2. Interprétation des coefficients\n",
        "\n",
        "Rappel : pour un coefficient logit $\\beta$, l'OR est OR=$e^{\\beta}$.\n",
        "Les $p$-valeurs < 0.05 donnent les variables significatives."
      ],
      "metadata": {
        "id": "RDVhw5VEYNBG"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9ZoVuqkc4Q0i",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "87b99cbb-2d14-4bdb-fd6f-8c47d081fb34",
        "collapsed": true
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                 Generalized Linear Model Regression Results                  \n",
            "==============================================================================\n",
            "Dep. Variable:                    chd   No. Observations:                  462\n",
            "Model:                            GLM   Df Residuals:                      455\n",
            "Model Family:                Binomial   Df Model:                            6\n",
            "Link Function:                  Logit   Scale:                          1.0000\n",
            "Method:                          IRLS   Log-Likelihood:                -247.05\n",
            "Date:                Tue, 11 Aug 2026   Deviance:                       494.09\n",
            "Time:                        13:49:05   Pearson chi2:                     453.\n",
            "No. Iterations:                     5   Pseudo R-squ. (CS):             0.1981\n",
            "Covariance Type:            nonrobust                                         \n",
            "===================================================================================\n",
            "                      coef    std err          z      P>|z|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------\n",
            "Intercept          -4.1417      0.953     -4.347      0.000      -6.009      -2.274\n",
            "famhist[T.True]     0.9887      0.221      4.466      0.000       0.555       1.423\n",
            "sbp                 0.0063      0.006      1.125      0.261      -0.005       0.017\n",
            "tobacco             0.0834      0.026      3.164      0.002       0.032       0.135\n",
            "obesity            -0.0085      0.027     -0.312      0.755      -0.062       0.045\n",
            "alcohol            -0.0007      0.004     -0.160      0.873      -0.009       0.008\n",
            "age                 0.0459      0.010      4.614      0.000       0.026       0.065\n",
            "===================================================================================\n"
          ]
        }
      ],
      "source": [
        "reglog3 = smf.glm('chd~sbp+tobacco+famhist+obesity+alcohol+age',\n",
        "                   data=maladie, family=sm.families.Binomial()).fit()\n",
        "print(reglog3.summary())"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Il semble très étonnant que l'obésité ne soit pas significative et encore plus que le coefficient correspondant soit négatif. Idem pour sbp (pression artérielle) qui n'est pas significative. L'explication vient du fait que ces variables sont corrélées à d'autres régresseurs et qu'en présence de ces régresseurs, elles ne sont plus utiles. Il est donc nécessaire de supprimer des variables explicatives."
      ],
      "metadata": {
        "id": "zByyRS1fKDpc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "reglog4 = smf.glm('chd~tobacco+ldl+famhist+age',\n",
        "                   data=maladie, family=sm.families.Binomial()).fit()\n",
        "print(reglog4.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f6atqwV9JO70",
        "outputId": "9c6cc621-ed29-4920-bc7b-31af158ce175",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                 Generalized Linear Model Regression Results                  \n",
            "==============================================================================\n",
            "Dep. Variable:                    chd   No. Observations:                  462\n",
            "Model:                            GLM   Df Residuals:                      457\n",
            "Model Family:                Binomial   Df Model:                            4\n",
            "Link Function:                  Logit   Scale:                          1.0000\n",
            "Method:                          IRLS   Log-Likelihood:                -242.72\n",
            "Date:                Tue, 11 Aug 2026   Deviance:                       485.44\n",
            "Time:                        13:49:14   Pearson chi2:                     460.\n",
            "No. Iterations:                     5   Pseudo R-squ. (CS):             0.2130\n",
            "Covariance Type:            nonrobust                                         \n",
            "===================================================================================\n",
            "                      coef    std err          z      P>|z|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------\n",
            "Intercept          -4.2043      0.498     -8.436      0.000      -5.181      -3.228\n",
            "famhist[T.True]     0.9241      0.223      4.141      0.000       0.487       1.362\n",
            "tobacco             0.0807      0.026      3.163      0.002       0.031       0.131\n",
            "ldl                 0.1676      0.054      3.093      0.002       0.061       0.274\n",
            "age                 0.0440      0.010      4.520      0.000       0.025       0.063\n",
            "===================================================================================\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Avec le sous groupe de variables sélectionnées ci-dessus, quelle est l'interprétation du coefficient 0.0807 du tabac ? Une augmentation de 1kg durant toute la vie, augmente le ***risque relatif*** (***la cote***) d'une maladie CHD de exp(0.081)=1.084=8,4%."
      ],
      "metadata": {
        "id": "GiXjZArSKf4f"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "type(maladie)\n",
        "maladie.head()"
      ],
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        },
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      },
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              "   ind  sbp  tobacco   ldl  adiposity  famhist  typea  obesity  alcohol  age  \\\n",
              "0    1  160    12.00  5.73      23.11     True     49    25.30    97.20   52   \n",
              "1    2  144     0.01  4.41      28.61    False     55    28.87     2.06   63   \n",
              "2    3  118     0.08  3.48      32.28     True     52    29.14     3.81   46   \n",
              "3    4  170     7.50  6.41      38.03     True     51    31.99    24.26   58   \n",
              "4    5  134    13.60  3.50      27.78     True     60    25.99    57.34   49   \n",
              "\n",
              "   chd    cl_age  \n",
              "0    1  [45, 55)  \n",
              "1    1  [55, 65)  \n",
              "2    0  [45, 55)  \n",
              "3    1  [55, 65)  \n",
              "4    1  [45, 55)  "
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              "type": "dataframe",
              "variable_name": "maladie",
              "summary": "{\n  \"name\": \"maladie\",\n  \"rows\": 462,\n  \"fields\": [\n    {\n      \"column\": \"ind\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 133,\n        \"min\": 1,\n        \"max\": 463,\n        \"num_unique_values\": 462,\n        \"samples\": [\n          226,\n          31,\n          40\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sbp\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 20,\n        \"min\": 101,\n        \"max\": 218,\n        \"num_unique_values\": 62,\n        \"samples\": [\n          176,\n          178,\n          160\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tobacco\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.593024078404595,\n        \"min\": 0.0,\n        \"max\": 31.2,\n        \"num_unique_values\": 214,\n        \"samples\": [\n          6.0,\n          2.38,\n          3.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ldl\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.0709091610593258,\n        \"min\": 0.98,\n        \"max\": 15.33,\n        \"num_unique_values\": 329,\n        \"samples\": [\n          5.8,\n          6.58,\n          5.13\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"adiposity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.7806985958397625,\n        \"min\": 6.74,\n        \"max\": 42.49,\n        \"num_unique_values\": 408,\n        \"samples\": [\n          26.35,\n          27.68,\n          33.23\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"famhist\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          false,\n          true\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"typea\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9,\n        \"min\": 13,\n        \"max\": 78,\n        \"num_unique_values\": 54,\n        \"samples\": [\n          57,\n          20\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"obesity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.213680226897765,\n        \"min\": 14.7,\n        \"max\": 46.58,\n        \"num_unique_values\": 400,\n        \"samples\": [\n          19.48,\n          24.32\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 24.481058691658568,\n        \"min\": 0.0,\n        \"max\": 147.19,\n        \"num_unique_values\": 249,\n        \"samples\": [\n          7.85,\n          2.62\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14,\n        \"min\": 15,\n        \"max\": 64,\n        \"num_unique_values\": 49,\n        \"samples\": [\n          62,\n          47\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"chd\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cl_age\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"[55, 65)\",\n          \"[15, 25)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.feature_selection import RFE\n",
        "reglog5 = LogisticRegression(max_iter=1000)\n",
        "rfe = RFE(reglog5,n_features_to_select=5, step=1)\n",
        "# Exclude the original 'famhist' column which contains strings\n",
        "XX=maladie[['sbp','ldl','tobacco','obesity','adiposity','typea','obesity','alcohol','age']].values\n",
        "YY=maladie['chd'].values\n",
        "rfe = rfe.fit(XX,YY)\n",
        "print(rfe.support_)\n",
        "print(rfe.ranking_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fcmccZplMbtX",
        "outputId": "bc2070bc-7389-44c1-8387-28d62f1af5c1",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[False  True  True  True False  True False False  True]\n",
            "[4 1 1 1 3 1 2 5 1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "XX=maladie[['ldl','tobacco','typea','age','obesity']].values\n",
        "rfe = rfe.fit(XX,YY)\n",
        "print(rfe.support_)\n",
        "print(rfe.ranking_)\n"
      ],
      "metadata": {
        "id": "5g2cxnEjQztO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f7e95930-056a-4e0c-c7ba-0c9b878c6757",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[ True  True  True  True  True]\n",
            "[1 1 1 1 1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "reglog6 = smf.glm('chd~ldl+tobacco+ldl+famhist+typea+age',\n",
        "                   data=maladie, family=sm.families.Binomial()).fit()\n",
        "print(reglog6.summary())\n"
      ],
      "metadata": {
        "id": "qUAq2OJ_S77a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f2e0ef8d-1748-4468-ed84-fd62b5d3da0d",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                 Generalized Linear Model Regression Results                  \n",
            "==============================================================================\n",
            "Dep. Variable:                    chd   No. Observations:                  462\n",
            "Model:                            GLM   Df Residuals:                      456\n",
            "Model Family:                Binomial   Df Model:                            5\n",
            "Link Function:                  Logit   Scale:                          1.0000\n",
            "Method:                          IRLS   Log-Likelihood:                -237.84\n",
            "Date:                Tue, 11 Aug 2026   Deviance:                       475.69\n",
            "Time:                        13:49:31   Pearson chi2:                     458.\n",
            "No. Iterations:                     5   Pseudo R-squ. (CS):             0.2295\n",
            "Covariance Type:            nonrobust                                         \n",
            "===================================================================================\n",
            "                      coef    std err          z      P>|z|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------\n",
            "Intercept          -6.4464      0.921     -7.000      0.000      -8.251      -4.642\n",
            "famhist[T.True]     0.9082      0.226      4.023      0.000       0.466       1.351\n",
            "ldl                 0.1620      0.055      2.947      0.003       0.054       0.270\n",
            "tobacco             0.0804      0.026      3.106      0.002       0.030       0.131\n",
            "typea               0.0371      0.012      3.051      0.002       0.013       0.061\n",
            "age                 0.0505      0.010      4.944      0.000       0.030       0.070\n",
            "===================================================================================\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "On coupe le jeu de données en 3 pour tester"
      ],
      "metadata": {
        "id": "a3pbqPm3clp0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn import metrics\n",
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, Y_train, Y_test = train_test_split(XX, YY, test_size=0.25, random_state=0)\n",
        "reglog7 = LogisticRegression()\n",
        "reglog7.fit(X_train, Y_train)\n",
        "ypred = reglog7.predict(X_test)\n",
        "print('Accuracy of logistic regression classifier on test set: {:.2f}'.format(reglog7.score(X_test, Y_test)))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oIm4PyOXc6bF",
        "outputId": "695e8257-8c9d-4f53-fc9a-ab4e96869921"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy of logistic regression classifier on test set: 0.68\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import confusion_matrix\n",
        "confusion_matrix = confusion_matrix(Y_test, ypred)\n",
        "print(confusion_matrix)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HNS3I9OVdsqA",
        "outputId": "0c57022f-769e-44e3-ef23-e3738d59744a",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[65 12]\n",
            " [25 14]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import roc_auc_score\n",
        "from sklearn.metrics import roc_curve\n",
        "logit_roc_auc = roc_auc_score(Y_test, reglog7.predict(X_test))\n",
        "fpr, tpr, thresholds = roc_curve(Y_test, reglog7.predict_proba(X_test)[:,1])\n",
        "plt.figure()\n",
        "plt.plot(fpr, tpr, label='Reg. logistique (aire = %0.2f)' % logit_roc_auc)\n",
        "plt.plot([0, 1], [0, 1],'r--')\n",
        "plt.xlim([0.0, 1.0])\n",
        "plt.ylim([0.0, 1.05])\n",
        "plt.xlabel('FPR (TFP) : 1-spécificité')\n",
        "plt.ylabel('TPR (TVP) : sensibilité')\n",
        "plt.title('Courbe ROC (Receiver operating characteristic)')\n",
        "plt.legend(loc=\"lower right\")\n",
        "plt.savefig('Log_ROC')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 481
        },
        "id": "BGnYf4tHdzrU",
        "outputId": "aa0149b1-e6ff-47e0-b901-7a6c27fe929f",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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h2rVrKIrCiy++mO3+5i6unD59Ok8++STx8fF8/fXXnDhxIsui2szEJ7fn7NHEKq/Pc26UHIbyHRwcWLp0KQDh4eGsXLmSqKgokwXY165dAzBZo/awzDgzv7iCgoJyjOP+/fvExcWxZcsWtmzZkuM2OWnXrh1z5sxhz549jBo1CkVR2LdvH82aNTPGkRnvw4vtHxUfH2/8gIfcX0cPu337tjEZeVhgYKDx/ocf/6OvQZVKRaVKlYyv+cKKNSYmhkWLFrFnzx6ioqKy7F8QjybAmV/KcXFxwIPHDGR5f3t4eJjEnZPr16/j6+uLh4fHY7ctW7ZsljZ3d3djLPBgLeCyZcvYtm0bERERJq/97J6L7J5Pc49x/fr1HD8/HsdSr9P27dvz5ZdfMm3aND7++GPjD6J27dqhVud9bCMv/ZP5PMlZmOaRpKmUcHV1xdfXN9tFwLkpyBtJr9dn256Xs6se/fsGgwGVSsWKFSuyHa0y9yyamjVrGuf1W7duTZ8+fZg8eTL79u0zJkCVK1cGHqz5yRwRedSFCxdMts38Ir5w4UKO+zxO5gfdw18qD9NoNDRu3Nh4u2nTpoSEhDB9+nRjMpX5QTh37lzKlCmT7THMlfnL96WXXuLll1/OdpvcCvX5+flRr1499u7dy6hRozh9+jS3b9/m1VdfNW6TGe/rr7+e4ynej/atterKFFasEyZM4NSpUwwdOpRq1arh7OyMwWBg2LBh+Tp9/GE5fdEW9Lj5kdNr7eFYZs2aZVwXVLt2bdzc3FCpVDmuA8ru+czrMfLDUq9TR0dHNmzYwPHjx/nxxx/56aef2LNnD1u2bGH16tX5Xh9pjswTMTLXl4ncSdJUirRo0YItW7Zw6tQpnn322Vy3LV++PAaDgbCwMGNCAA8W1cbFxVG+fHlj26O/GgHS0tKIjIzMc4xhYWFUrFjR5LbBYDD+WgsICEBRFCpUqMCTTz6Z5+NnR6PRMGnSJAYMGMCGDRuM9VPq1q2LTqdj9+7djB49OtsPrh07dgAYF1DWrVsXd3d3vv32W0aNGpWvD7uyZcvi6OiY7Vk/2fH19WXQoEEsWrSI06dPU7t2beNz6O3tbZJgPSpzu3///TfHbby8vHBxccFgMOR6rNyEhIQwc+ZMrly5wp49e3BycjJZdJoZh6ura77/Rk7KlSvH1atXs7RfuXLFeP/DwsLCTG4rikJYWJgxMSyMWGNjY/nll18YO3asyRRK5kjGwywxApD5mK9fv27yfouOjjY5mzEnAQEB/Pzzz8TExJg1mvE43333HV26dDE5ay81NTVPI27mHiMgIOCxPx5zes4t+TpVq9XGafepU6eydOlSPv30U44fP07jxo3z9DrIS/9kfs48/DkvciZrmkqRYcOG4ezszLRp07h3716W+69fv866desAjKfxZt7OtGbNGpP74cEHye+//26y3datW3McacrNoyX9v/jiC+BBXSWAF198EY1Gw6JFi7L8elQUJd/z8g0aNKBmzZqsW7fOePaQk5MTQ4YM4erVq1lOv4cHhUK3b99O06ZNqV27tnGfYcOGcfnyZT766KNsf+Hu3LmTM2fO5BiLnZ0dNWrU4O+//zY7/n79+uHk5MTy5csBeP7553F1dWXZsmWkp6dn2T5zOs3Ly4v69evz9ddfG6dsMmXGrtFoaNu2Ld999122yZU5l75p27YtGo2Gb7/9ln379tG8eXOTX+Q1atQgICCA1atXZzu1WZDL67zwwgucOXOGU6dOGduSkpLYunUr5cuXp0qVKibb79ixw7g2DR4UkIyMjDS+Bgsj1pyS6Uffb4DxrK+CTtk9rFGjRmi1WjZt2mTSbu4lNV588UUURWHRokVZ7svPqE52z8f69evz9Bli7jFefPFFzp8/z/79+7Nsnxl75nP+6I9BS71OszvdP3MkK7PES04xZScv/XP27FlUKpXxM0zkTkaaSpGAgAA++ugjJk6cSPv27Y0VwdPS0jh16hT79u2ja9euwIPFmi+//DJbtmwhLi6O+vXr89dff7F9+3Zat25Nw4YNjcd95ZVXeOeddxg7diyNGzfm/Pnz/Pzzz/ka7r158yajRo3i+eef5/Tp0+zatYuOHTtStWpV42OYMGECH3/8Mbdu3aJ169a4uLhw8+ZNDhw4QI8ePRg6dGi+np+hQ4cyfvx4tm3bZjzdf8SIEZw7d44VK1Zw+vRpXnzxRRwdHfnjjz/YtWsXlStX5r///a/JcYYNG8alS5dYvXo1x48fp23btvj4+HDv3j0OHDjAmTNn2Lx5c66xtGrVik8//ZSEhASTRck58fT0pGvXrmzcuJHLly9TuXJlZsyYweuvv07Xrl1p3749Xl5e3L59m8OHD1OnTh2mT58OPCgt0bt3b15++WV69uxJhQoVuHXrFj/++CM7d+4EYPLkyRw/fpwePXrwyiuvUKVKFWJjYzl79iy//PILv/32W67xeXt706BBA9asWUNiYqJJAVF48Ct79uzZDB8+nI4dO9K1a1f8/PyIiIjg+PHjuLq6Gqce82rEiBF8++23DB8+nP79++Pu7s6OHTu4efMmCxcuzDKV5e7uTp8+fejataux5EClSpXo0aNHocXq6upK/fr1WblyJenp6fj5+XH06NFsRxeffvppAD799FPat2+PnZ0dLVq0KFBBRx8fHwYMGMDq1auN77cLFy5w5MgRPD09Hzuq0bBhQzp37sz69esJCwvj+eefx2Aw8Mcff9CgQQOzF5Rnat68OTt37sTV1ZUqVapw+vRpjh07lqdRLHOPMXToUL777jvGjx9Pt27dePrpp4mNjeXQoUPMnDmTqlWrGheQb968GRcXF5ydnalZsyYVK1a0yOt08eLF/P7777zwwguUL1+eqKgoNm7ciL+/v7G8QG4xPSov/XPs2DHq1Kkj03NmkqSplGnVqhW7du1i1apVHDx4kE2bNmFvb09wcDBTpkwxfjHAg1ovFSpUYPv27Rw4cAAfHx9GjhyZ5YyMHj16cPPmTb766it++ukn6taty5o1a3Ks3ZObefPmMX/+fD7++GO0Wi39+vXj9ddfN9lmxIgRPPHEE6xdu9ZYL8rf358mTZrk+aKVD3vxxReNvyIzz87RaDTMmzePHTt28OWXXzJ//nzjtedCQ0OzvfacWq1m7ty5tGrViq1bt7J69WoSEhLw9PSkfv36vPbaa4+dHu3cuTMff/wxBw8eNKn+nZvBgwezefNmVqxYwZw5c+jUqRO+vr4sX76cVatWkZaWZlxflJkcw4MEeevWrcyfP59NmzaRmppKuXLlCAkJMW7j4+PDl19+yeLFi9m/fz+bNm3Cw8ODKlWqmKxNyk379u05duwYLi4uWYqawoPRvi1btvDZZ5/xxRdfkJSURJkyZahZsyY9e/Y0629kx8fHh82bN/Phhx/yxRdfkJqaSnBwMEuXLqV58+ZZth81ahQXLlxg+fLlJCYm0qhRI9555x2TWkGFEevHH3/MrFmz2LhxI4qi0KRJE1asWMHzzz9vsl3NmjUZP348mzdv5qeffsJgMHDw4MECV8F+9dVXcXR05Msvv+SXX36hdu3arFq1ij59+phVafyDDz4gODiYr776irlz5+Lm5kaNGjUe+9rOzltvvYVareabb74hNTWVOnXqsGbNmiy1vQrjGC4uLmzYsIGFCxeyf/9+tm/fjre3N40aNTJee9LOzo45c+bwySefMGPGDDIyMvjggw+oWLGiRV6nLVu25NatW3z99ddER0fj6enJc889x9ixY3Fzc3tsTNkxp3/i4+P5+eefeeedd/IVd2mkUqyxMlAI8Vhvvvkm165dY+PGjdYOpVQ4fvw4AwYMYP78+bRr187a4VhF5qjyhAkTGD16tLXDERa2du1aVq5cyYEDB0r0hdoLk6xpEsJGjRkzhr/++ivL5RmEKAwpKSlZ2jLXVD333HNFHY4oYunp6axdu5bRo0dLwpQHMj0nhI0qV65cttfxEqIw7Nmzh+3bt9OsWTOcnZ05efIku3fvpmnTpsZ1NKLksrOzK/ILtJcEkjQJIUQpFBwcjEajYeXKlSQmJuLt7c2AAQOYMGGCtUMTwmbJmiYhhBBCCDPImiYhhBBCCDNI0iSEEEIIYQZJmoQQQgghzCALwXOhKAoGgyz5sgVqtUr6wkZIX9gW6Q/bIX1hG9RqlUWu2QiSNOVKpVIRF5dERobB2qGUalqtGk9PF+kLGyB9YVukP2yH9IXt8PJyQaOxTNIk03NCCCGEEGaQpEkIIYQQwgySNAkhhBBCmEGSJiGEEEIIM0jSJIQQQghhBkmahBBCCCHMIEmTEEIIIYQZJGkSQgghhDCDJE1CCCGEEGaQpEkIIYQQwgw2lTSFhYUxffp0OnfuTPXq1enYsaNZ+ymKwvLly2nevDk1a9akZ8+enD592rLBCiGEEKJUsamk6eLFixw+fJhKlSpRuXJls/dbsWIFCxYsYNCgQSxbtowyZcowZMgQbty4YcFohRBCCFGa2FTS1LJlSw4fPsyCBQt4+umnzdonNTWVZcuWMWTIEAYNGkSjRo345JNP8PDwYNWqVRaOWAghhBClhU0lTWp13sM5efIkCQkJhISEGNvs7e1p06YNR44cKczwhBBCCFGKaa0dQEFduXIFgMDAQJP2ypUrs27dOlJSUnB0dLRGaEIIIcRjKYpCWrrB2mGUGIqiWOzYxT5piouLw97eHgcHB5N2nU6HoijExsYWKGnSaGxqMK5UyuwD6Qvrk76wLdIftiO/faEoCrPX/cHFm7GWCKvUcU+PZ+lbbXH1K2OR4xf7pMnSdDona4cg/p/0he2QvrAt0h+2I699kZKaIQlTIYq1c0OvstyPiGKfNOl0OtLS0khNTTUZbYqLi0OlUuHu7l6g48fFJaPXy7CpNWk0anQ6J+kLGyB9YVukP2xHfvsiNU1v/P+iic1wsNNYIrwSLeGPEzgGVkHr6QmAi5eLxf5WsU+aMtcyXb16lapVqxrbr1y5Qrly5Qq8nkmvN5CRIR9GtkD6wnZIX9gW6Q/bkde+eHhbjUqFRq2yRFglkj45mchNXxB37CjO1apTfuKrqNRqVCrLPYfFPmmqU6cOrq6u7N2715g0paen8/3339OsWTMrRyeEEEKIwpZ8+RLhK5aRfi8SVCocK1cBCy4Az2RTSVNycjKHDx8G4NatWyQkJLBv3z4AnnvuOby8vBg4cCC3b99m//79ADg4ODBy5EgWLlyIl5cXQUFBbNq0iZiYGIYOHWq1xyKEEEKIwqXo9dz/9huidu8CgwGtjw9lh47A6amgIvn7NpU0RUVFMX78eJO2zNuff/45DRo0wGAwoNfrTbYZPnw4iqKwevVq7t+/T7Vq1Vi1ahUVK1YsstiFEEIIYTkZMTHcXrKIlMuXAHBr2AjfPv3RODsXWQw2lTRVqFCBCxcu5LrN+vXrs7SpVCpGjhzJyJEjLRWaEEIIIaxI7eSEPjEBtZMTvv0GoGvQqMhjsKmkSQghhLAVeSk6qTcopKRmkJqmz9NC8NR0/eM3KsX0SYmoHZ1QqdWoHRwoN3oMakdH7Lx9rBKPJE1CCCHEIxRF4YMvTnLpltRQspak8+cIX7UCj1at8WrXHgCH8hWsGpOUkRVCCCEekZZuKNKEqUoFd+zt5CsZQMnIIPKrrdz8eC4Z0feJO3YUJSPD2mEBMtIkhBBC5Gre2KaPLTqp1arx8HAmJiYpXzWz7O0sW1+ouEgLv8Od5UtJvR4GgHuzFyjTozcqrW2kK7YRhRBCCGGjHOw0ONg/PmlydNDiYK+RApX5oCgKsUcOE7llI0paGmpXV/wGDMatTl1rh2ZCkiYhhBBCWFV6ZCR3N64HvR7n6k/jP2QYWg9Pa4eVhSRNQgghhLAqe19fyrzSCwwGPFq3QaW2zfVdkjQJIYQQokgZ0tO49/VX6Bo2xvGJJwDwbN3GukGZwTZTOSGEEEKUSKk3b3B99rvEHPie8JXLbObMOHPISJMQQpRyeSniWFpI0cnCpxgMxBw6wL2vtqJkZKBx0+HTo5fNnBlnjuITqRBCiEInRRxFUciIiSF8zUqSzv4NgEvNWvgNGopWp7NyZHkjSZMQQpRiRV3EsbiRopMFlxYRwfUPZmFISEBlZ0eZHr1xb96iWNalkqRJCCEEYF4Rx9JGik4WnF2ZMjgGVEIfH4//8FE4lCtn7ZDyTZImIYQQgHlFHIUwR8r1MOz9/FE7OKBSqyk7YjQqBwfUdnbWDq1AZMxRCCGEEIVCMRi4v2c31997l8gtG43tGlfXYp8wgYw0CSGEEKIQpEdFEb5qOcn/XgBAn5iIotej0pSc0UtJmoQQQghRIPG/HSdi/VoMycmoHBzw7d0PXZOmJW49mCRNQgghhMgXfXIykRu/IO6XowA4PhmI/7CR2Pv5WTkyy5CkSQghSoGcClhKEUdREEpqKol/nQGVCq8OnfDu+FKxKlaZVyX3kQkhhACkgKUoXIrBYLygrtbDA/9hI1A7OOD0VJCVI7M8OXtOCCFKOHMKWEoRR2GOtMi73JjzHvF/nDC2udR4plQkTCAjTUIIUarkVMBSijiK3CiKQtyxo9zd+AVKagr3vtyKa+06JerMOHNI0iSEEKWIFLAUeaVPTCRi/VoSfn8wuuT0VBD+w0aUuoQJJGkSQgghRA6Szp8jfNUKMqLvg0aD90td8ArpYFzTVNpI0iSEEEKILNLC73Dz47mgKNj5+VF22Egcnwy0dlhWJUmTEEIIIbKw9y+Le/MWKBkZ+Pbsg9rR0dohWZ0kTUIIIYRAURRifzqMS41nsPPyBsC3d79SOxWXHUmahBCiBMmuiKUUsBSPkxEfR8S6NSSePoVT1WpUmPQaKrVaEqZHSNIkhBAlhBSxFPmR+PcZwtesQh8bi0qrxbVmLWuHZLMkaRJCiBLicUUspYCleJghPY17X31JzMH9ANiXK0fZ4aNwqBhg5chslyRNQghRAmVXxFIKWIpM6VH3uLVgHmm3bgLg0bIVPt17ora3t3Jktk2SJiGEKIGkiKXIjcZNB4oBjZsOv8FDZUrOTJI0CSGEEKVARlwcGldXVGo1ant7yv1nLGpnF7Q6nbVDKzZkclsIIYQo4RJOneTa9DeJ/m6vsc3ev6wkTHkkSZMQQghRQhlSU4lYv5bbixdgSEgg/o/fUfRSgiK/ZHpOCCGEKIFSrl3jzoqlpEeEA+DZth3eXbqVygvtFhZJmoQQopjJLGCpNyikpGaQmqYnI8MgRSwFAIrBQPR3e7m3Yxvo9Wg9PfEfMhznatWtHVqxJ0mTEEIUI1LAUjxO+t27RO3cDno9rnXr4dd/EBpXV2uHVSJI0iSEEMXI4wpYghSxLO3s/f0p07MPKjs7dE2aSm2uQiRJkxBCFFOLJjbDr4wbMTFJZGT873pzUsSydNEnJxO5ZSMeL7TA8clAADxatLRyVCWTJE1CCFFMOdhpcHTQ4mCvQaOWJKk0Sr58ifAVy0i/F0nKpUtUevc9uciuBUnSJIQQQhQzil5P1O5d3P/2GzAY0Pr44DdwsCRMFiZJkxBCCFGMpEXeJXzlclIuXwLArWEjfPv0R+PsbOXISj5JmoQQQohiIvX2bW68/y6GlBTUTk749huIrkFDa4dVakjSJIQQQhQT9mXL4li5CkpaGv7DRmDn7WPtkEoVSZqEEMKKMgtVmksKWJY+Sf9ewDEgALWjEyqVirIj/4Pa0VHWL1mBJE1CCGElUqhS5EbJyODejm1Ef7cXXZOm+A8aCiBrl6xIkiYhhLAScwpV5kQKWJZsaeF3uLN8KanXwx40qFQoBoOMLlmZJE1CCGED5o1tioOd+RdSlQKWJZOiKMQe+ZHILZtQ0tJQu7jgN3AIbnXqWjs0gSRNQghhExzsNDjYy9XnSzN9fDzh61aTePoUAM7VnsZ/6DC0Hp5WjkxkkqRJCCGEsAGKQU/K5UuotFp8unbHo/WLMh1nYyRpEkIIIaxEychApX3wVax196DsiNFoXF1xqBhg5chEdiSFFUIIIawg9eYNwmbNIP7334xtztWqS8Jkw2SkSQghhChCisFAzKED3PtqK0pGBlE7tuNap55MxRUDkjQJIUQRyK6IpRSqLH0yYmIIX7OSpLN/A+BSsxZ+g4ZKwlRMSNIkhBAWJkUsBUDCqZOEr1uNISEBlZ0dZXr0xr15CykdUYxI0iSEEBb2uCKWUqiy5Eu9dZPbixcA4FAxAP/hI3EoV97KUYm8srmk6fLly8yePZtTp07h4uJC586dmTBhAvb29rnuFx0dzaeffsqRI0eIiYmhQoUK9O3bl969exdR5EII8XjZFbGUQpUln0P5Cni0bI3KTot3l26o7eysHZLIB5tKmmJjYxk4cCBPPPEECxcuJCIigjlz5pCSksL06dNz3Xf8+PFcuXKFSZMmUbZsWY4cOcKMGTPQaDT06NGjiB6BEELkTopYlg6KwUD0/u9wq/ccdt7eAJTp3VeS42LOppKmzZs3k5iYyKJFi/Dw8ABAr9czc+ZMRo4ciZ+fX7b7RUZGcvz4cT744AO6du0KQKNGjfjrr7/49ttvJWkSQghRZNLvRxG+cjnJ/14g8c/TVHj1DVRqGU0sCWxqEv3IkSM0atTImDABhISEYDAYOHr0aI77ZWRkAODm5mbS7urqiqIoFolVCCGEeFTs8V8Jm/E2yf9eQOXggK5xE5BkqcSwqZGmK1eu0K1bN5M2nU5HmTJluHLlSo77lS1blqZNm7J06VKefPJJ/P39OXLkCEePHuWjjz6ydNhCCCFKOX1yMv+uW03kDz8C4PhkIP7DRmKfwwyJKJ5sKmmKi4tDp9NlaXd3dyc2NvdTdRcuXMjEiRPp0KEDABqNhmnTptG2bdsCxaTR2NRgXKmU2QfSF9YnfZE/esP/Rry1WjVabeE8f9IftiE1PJzrH39IemQkqFT4dHqJMi91Nl4eRRQtSw7slYgeVRSFqVOncu3aNT7++GPKlCnDsWPHeP/993F3dzcmUvmh0zkVYqSiIKQvbIet9oWiKKSm2V7BSJX2fzF5eDjj6FC4H7222h+lhcGlInecnVD7liFo4nh01atZOyRhITaVNOl0OuLj47O0x8bG4u7unuN+P/74I/v27WPXrl0EBwcD0KBBA6KiopgzZ06Bkqa4uGT0esPjNxQWo9Go0emcpC9sgC33haIozF73Oxdv2nYByZiYpEI7e86W+6OkS4+6h9bTy1jJu8LY8XiWK0OSXk10dKKVoyvd3N2dUFuowrpNJU2BgYFZ1i7Fx8cTGRlJYGBgjvtdunQJjUZDUFCQSXu1atX48ssvSU5Oxskpf7/E9HoDGRnyYWQLpC9shy32RWqa3uYTpioV3FGrKPTnzhb7o6RSFIX4X45xd+N6PEM64N2hEwBanzJoXVzQRydKX1iZJc//sqmkqVmzZixdutRkbdO+fftQq9U0adIkx/3Kly+PXq/nwoULVK1a1dh+9uxZvL29850wCSGKp+wKSNoCKWJZvOkTE4lYv46E338DIOncP3iFdJDrxpUiNpU09erVi/Xr1xMaGsrIkSOJiIhg7ty59OrVy6RG08CBA7l9+zb79+8HHiRb5cqVY9y4cYSGhuLr68vPP//M9u3bGTt2rLUejhDCSqSApChsSefPEb5qBRnR90GjwfulLpIwlUI2lTS5u7uzbt06Zs2aRWhoKC4uLnTv3p2JEyeabGcwGNDr/7ew0tXVlbVr1/Lpp5/y0UcfER8fT4UKFZgyZQr9+vUr6ochhBCihFAyMri3YxvR3+0FRcHO1w//YSNxymXJiCi5bCppAqhcuTJr167NdZv169dnaatUqRLz5s2zTFBCCCFKpfTIu8Qc+B4UBV3TZvj26oPa0dHaYQkrKXDSdPfuXe7fv09AQADOzs6FEZMQQghhE+zLlsO3b3/Uzi641a1n7XCEleV7MvbAgQO0a9eOF154gZdffpk///wTgPv379OlSxcOHDhQaEEKIYQQRSEjPo7bny0k+cplY5v78y9IwiQAM0aafvzxR2rVqoWnp6ex7dChQ4wdO5batWvTsWNHFi1aZLzPy8sLPz8/vv76a1q3bm2ZqIUQhUZRFNLSzTtFWm9QSEnNIDVNb3OnVaem215RS1G8JP79F+FrVqKPjSUt/A6VZsyWhd7CxGOTpn///ZcPPviAlStXUrFiRQAWL15MvXr1WL9+PdHR0SZJE0Dt2rXZsmWLZSIWQhQaRVH44IuTXLpl2/WNhLAkQ3oa977+kpgDD87Iti9bDv9hIyVhElk89hUxZMgQWrRoQe/evTl//jwAFy9eJCQkJMd9fHx8iIqKKrwohRAWkZZuKHEJU5UK7tjbyZedME/qzRtcn/2uMWHyaNmKgLdn4BhQycqRCVv02JEmrVbLlClTqFevHidOnKBq1ao4OTmRnJyc4z43btzAw8OjMOMUQliYOQUhtVo1Hh7OxMQk2dz0XCYpICnMlXrjBtffm4mSkYHGTYff4KG41qxl7bCEDTP77LmH1yc1aNCAHTt2MHDgwCzbRUZGsnXrVlq0aFE4EQohioQ5BSG1WjWODloc7DVo1JKYiOLNvkIFnKtVB5UKv0FD0f7/lSiEyEm+Sg5MmDCBnj170r17d9q1a4dKpeLnn3/m119/ZcuWLSiKQmhoaGHHKoQQQhRI4l9ncKzyFBonJ1QqFWVHhaKyt5fRSWGWfE38BwYGsnHjRjw8PJg/fz6KorBq1SqWLVtGUFAQGzdupEKFCoUdqxBCCJEvhtRUItav5db8T4jc9IWxXe3gIAmTMFu+i1s+9dRTrF27ltjYWMLCwlAUhYoVK+Ll5VWY8QkhhBAFknLtGndWLiU9PBxUKjRuOhSDQc6OE3mWr6Rp0aJFvPjiiwQFBeHu7k7NmjVN7r948SLfffcdY8aMKZQghRBCiLxSDAaiv9vLvR3bQK9H6+mJ/5DhD9YxCZEP+U6aKlWqRFBQULb3X7x4kcWLF0vSJEQRy0uhSpCCkKLkyoiJ5s6KZSRfeFAqx7VuPfz6D0Lj6mrlyERxZpEL9sbExGBnZ2eJQwshciCFKoV4iFpD2u3bqBwc8O3dD12TprJ2SRSY2UnTiRMnOH78uPH2/v37CQsLy7JdfHw8e/bsyXEUSghhGQUpVCkFIUVJYEhLQ21vD4BWp6Ps6FC07h7Y+/lZOTJRUpidNB0/ftx4uRSVSsX333/P999/n+22VapU4e233y6cCIUQeWZOocqHSUFIUdwlX75E+IpleL/cDV2DhgA4BwVbOSpR0pidNA0bNoy+ffuiKAqNGzdm5syZvPjiiybbqFQqnJyccHBwKPRAhRDmM6dQpRAlgaLXE7V7F/e//QYMBqL37cGt/nNyZpywCLOTJkdHRxwdHQE4ePAgXl5eODk5WSwwIYQQIjdpkXcJX7mclMuXAHBr2AjfPv0lYRIWk6+F4OXLly/sOIQQQgizKIpC/C/HiNiwHiU1BbWTE779Bhqn5YSwFLOSppYtW6JWq9m7dy92dna0bNnysesfVCoVBw4cKJQghRBCiEypN64TvnoFAE5PBeE/bAR23j5WjkqUBmYlTc899xwqlQr1/w95Zt4WQgghippjQCU827ZD7eyCV0gHmY4TRcaspGnOnDm53hZCFJ2cClhKoUpRUikZGUTt3ol702bY+ZQBoMwrvawclSiNLFLcUghhGVLAUpQ2aXduc2fFMlKvh5F84QIVXpsiI0vCasxKmk6cOJGvg9evXz9f+wkhsmdOAUspVClKAkVRiD38A5FbN6OkpaF2ccGjTVtJmIRVmZU09e/fP09rmBRFQaVSce7cuXwHJoTIXU4FLKVQpSjuMuLjiFi7msQ/TwPgXO1p/IcOQ+vhad3ARKlnVtL0+eefWzoOIUQeSQFLURKl3rrFzY//iz4uDpVWi0/XV/Bo3UZGmIRNMPvsOSGEEMLS7HzLoNG5o3F1pezwUThUDLB2SEIYyUJwIYQQVpV25zZ2vn6oNBrUdvaUHzsBjZub8eK7QtgKs5KmqVOnolKpmDVrFhqNhqlTpz52H5VKxfvvv1/gAIUQQpRMisFAzKED3PtqK14dOuHdqTMAdt7eVo5MiOyZlTQdP34clUqFwWBAo9Fw/Pjxx+4jC1GFEELkJCMmhvA1K0k6+zcAKWHXUAwGWbskbJpZSdOhQ4dyvS2EyF1OBSnzSgpYipIg4dRJwtetxpCQgMrOjjI9euPevIX82BY2T9Y0CWFhUpBSiAcMqalEbtlE7JEfAXCoGID/8FE4lCtn3cCEMFOBkqZ///2Xw4cPc+vWLQDKly9Ps2bNCA4OLpTghCgJzClImVdSwFIURxn3o4j75SgAnm1D8O7SFbWdnZWjEsJ8+Uqa0tLSmD59Ojt37kRRFOOFfA0GA5988gmdOnVi9uzZ2MuZD0KYyKkgZV5JAUtRXGQWOwawL1sOvwGD0Hp44lytupUjEyLv8pU0ffjhh+zYsYM+ffrQr18/AgICUKlUhIWFsX79ejZt2oS7uztvvfVWYccrRLEmBSlFaZIeFUXE2lV4d34ZpypPAaBr1MTKUQmRf/ka39+1axedO3dm+vTpBAYGotVq0Wg0BAYG8s4779CpUyd27dpV2LEKIYQoJuJ/O07YjGkknfuHiPXrUBTF2iEJUWD5SpoyMjKoVatWjvc/++yz6PVylo8QQpQ2+uRkwlet4M7yJRiSk3F8MpBy/xkr08miRMjX9FzTpk35+eef6dOnT7b3//TTTzRpIkOwQghRmiRfukj4yuWk34sElepBwcqOL6HSyonaomQw65UcExNjcnv8+PFMmDCBMWPG0LdvXwICHlwbKCwsjA0bNnD79m0+/fTTQg9WCCGEbUq5dpUb/30fFAWttzdlh43E6akga4clRKEyK2lq2LBhlqFVRVH4999/OXjwYJZ2gI4dO/LPP/8UUphCFA/ZFbGUgpSiNHCo9AQuNWuhdnTCt29/NM7O1g5JiEJnVtIUGhoq89FCPIYUsRSliaIoxJ84jkuNmmicnVGpVJQdFSp1l0SJZlbSNHbsWEvHIUSx97gillKQUpQU+sREItavI+H333Br2Iiyw0YCSMIkSjxZnSeEBWRXxFIKUoqSIOn8OcJXrSAj+j5oNNiXLWdSwFKIksyspGnRokWoVCpGjx6NWq1m0aJFj91HpVIRGhpa4ACFKI6kiKUoaZSMDO7t2Eb0d3tBUbDz86PssJE4Phlo7dCEKDJ5SpqGDx+Ovb29JE1CCFGKpEdGcnvJIlKvhwGge74Zvj37oHZ0tHJkQhQts5Km8+fP53pbCCFEyaV2dCQjNga1iwt+A4fgVqeutUMSwipkTZMQQogs9MnJaJycANC4uVHuP2Ox8/ZG6+Fp5ciEsJ5CO5UnOTmZr776io0bN3Lr1q3COqwQQogilvj3X1ybNoW4X48Z25wqV5GESZR6+RppevPNNzlz5gy7d+8GIC0tjR49enDx4kUA3NzcWLduHdWrVy+8SIUQQliUIT2Ne19/ScyB/QDE/HAItwaN5Mw4If5fvkaajh8/Tps2bYy3d+/ezcWLF/noo4/YvXs3Pj4+Zi0WF0IIYRtSb97g+ux3jQmTR8tWVJj8uiRMQjwkXyNN9+7do3z58sbbBw4coEaNGnTs2BGAHj16sGrVqsKJUAghhMUoBgMxhw5w76utKBkZaNx0+A0eimvNWtYOTQibk6+kycnJifj4eAAyMjL47bff6Nevn/F+FxcX4/1CCCFsV+r1MCI3bwTApWYt/AYNRavTWTkqIWxTvpKmp59+mq1bt9KgQQMOHTpEYmIiLVu2NN5//fp1vL29Cy1IIYQQluH4xJN4deiE1sMT9+YtZDpOiFzkK2maMGECw4YNo1u3biiKQtu2balZs6bx/v3791OnTp1CC1IIIUThMKSmcm/bV3i2fhG7MmUA8Hm5m5WjEqJ4yFfS9Mwzz7B3715OnjyJTqfjueeeM94XFxdHnz59TNqEEEJYX8q1a9xZsZT0iHBSr4dR4fWpMrIkRB7ku7ill5cXrVu3ztKu0+kYOHBggYISQghReBSDgeh9e7i3czvo9Wg9PfF+qYskTELkUYEqgickJHD79m3i4uJQFCXL/fXr1y/I4YUQQhRQelQU4auWk/zvBQBc69bDr/8gNK6uVo5MiOInX0lTdHQ0s2bN4vvvv0ev12e5X1EUVCoV586dK3CAQliLoiikpRvM3j41Pet7QQhrSrkexs2P/oshKQmVgwO+vfuha9JURpiEyKd8JU1vv/02P/zwA/3796devXro5PRUUcIoisIHX5zk0q1Ya4ciRL7Zly2HnbcPKj8t/sNGYu/nZ+2QhCjW8pU0HT16lIEDB/L6668XdjxcvnyZ2bNnc+rUKVxcXOjcuTMTJkzA3t7+sftGRETwySefcPjwYZKSkihfvjyjR4/mpZdeKvQ4RcmWlm7Id8JUpYI79naFdllHIfIkJewaDhUqotJoUNvZUX78JDSurqi0cn12IQoqX+8iR0dHk4rghSU2NpaBAwfyxBNPsHDhQiIiIpgzZw4pKSlMnz49133v3r1Lz549efLJJ5k1axaurq5cvHiRtLS0Qo9TlC7zxjbFwU5j9vb2dmqZ/hBFTtHridq9i/u7d+HV8SV8Or8MgNbDw7qBCVGC5Ctpeumllzhw4AB9+/Yt1GA2b95MYmIiixYtwuP/3+h6vZ6ZM2cycuRI/HIZWv7www/x9/dn5cqVaDQPvuAaNWpUqPGJ0snBToODvflJkxBFLe3uXW4uW0rK5UsAZETdM64tFUIUnnzNIbRt25bY2FiGDh3K999/z5kzZzh79myWf3l15MgRGjVqZEyYAEJCQjAYDBw9ejTH/RISEti7dy99+vQxJkxCCFHSKYrC3UM/cGX6NFIuX0Lt5IT/8JH4DxkuCZMQFpCvkaY+ffoY/3/s2LEs9+f37LkrV67QrZtpZVqdTkeZMmW4cuVKjvudPXuW9PR0tFot/fr149SpU3h4eNClSxcmTJiAnZ1dnuIQQghbp09MJHzDOuJ++w0Ap6eC8B82AjtvHytHJkTJla+k6YMPPijsOIAH1cSzOxPP3d2d2NicF+Xeu3cPgGnTptGjRw/GjBnDmTNnWLBgAWq1msmTJ+c7Jo1GFvRaW2YfFGVf6A3/qzum1arRauV1ANbpC5E9fWI88adPo9Jo8O3aFa+QDqjU0i/WIu8N22HJQdZ8JU0vv/xyYcdRIAbDg1o6jRs3ZsqUKQA0bNiQxMREVq9eTWhoKI6Ojvk6tk7nVGhxioIpyr5ISc0w/t/DwxlHBznz6GHyvrAOk3VKnk+hGTcGRz9f3IKesm5gwkjeGyVbgb8J7t69y/379wkICMDZ2blAx9LpdMTHx2dpj42Nxd3dPdf94EGi9LBGjRqxdOlSwsLCCA4OzldMcXHJ6PXmFzgUhU+jUaPTORVpX6Sm/a9QZUxMkiwE/3/W6AvxQOrt29xasRz/3r1xDnrweeZQqw5u0h82Qd4btsPd3Qm1hUZd8500HThwgI8++oiwsDAAVq9eTaNGjbh//z5DhgwhNDSUNm3a5OmYgYGBWdYuxcfHExkZSWBgYI77ValSJdfjpqam5imOh+n1BjIy5A1gC4qyLx7+OxkZBjRqWVT7MHlfFB1FUYg98iORWzahpKVx54svCHh7hslCb+kP2yF9YX3ZXNWt0OQrFTt06BBjx47F09OT0NBQk+vOeXl54efnx7Zt2/J83GbNmnHs2DHi4uKMbfv27UOtVtOkSZMc9ytfvjxBQUFZFqUfO3YMR0fHxyZVQghhizLi47i9eAF3169DSUvDudrTlBs7Qc6ME8JK8pU0LV68mHr16rFp06ZsazXVrl07X9ed69WrFy4uLoSGhvLzzz/z9ddfM3fuXHr16mVSo2ngwIFZRrEmTpzIoUOHeO+99zh69ChLly5l9erVDBo0qMDThkIIUdQS/z5D2Iy3STx9CpVWS5kevSg/cTJ2np7WDk2IUitf03MXL140LrjOjo+PD1FRUXk+rru7O+vWrWPWrFmEhobi4uJC9+7dmThxosl2BoMhy4WCW7ZsySeffMJnn33Gpk2b8PX1ZezYsYwYMSLPcQghhDUlX77ErXmfAGBfrhxlh4/CoWKAlaMSQuQraXJyciI5OTnH+2/cuGFSoDIvKleuzNq1a3PdZv369dm2t2/fnvbt2+fr7wohhK1wDKyM67N10Xp64NO9J2ozrr0phLC8fE3PNWjQgB07dpCRkZHlvsjISLZu3UrTpk0LHJwQQpQGisFAzOEf0CclAqBSqSg76j/49ukvCZMQNiRfI00TJkygZ8+edO/enXbt2qFSqfj555/59ddf2bJlC4qiEBoaWtixCiFEiZMRE0P4mpUknf2b5AsXKDtiFAAquSSUEDYnXyNNgYGBbNy4EQ8PD+bPn4+iKKxatYply5YRFBTExo0bqVChQmHHKoQQJUrCqZOEzXibpLN/o7Kzw+mpp0zORhZC2JZ812l66qmnWLt2LbGxsYSFhaEoChUrVsTLy6sw4xMiTxRFIS294DVSUtP1j99IiHwypKYSuXUTsYd/BMChYgD+w0fiUK68dQMTQuSqwBXB3d3dqVmzZmHEIkSBKIrCB1+c5NKtnK9TKIS1pd25za3FC0gPDwfAs207vLt0Qy0XFhfC5uVreu6XX35h5cqVJm1fffUVzZs3p3Hjxrz//vtZSgIIYWlp6YZCT5iqVHDH3k4uwCkKj8ZNhyElBY2HB+UnvUaZV3pJwiREMZGvkaaFCxdSrlw54+0LFy7wzjvvEBwcTEBAAOvXr8fHx0dqJAmrmTe2KQ52BV9Ia2+nlurLosD08fGoXV1RqVRoXF0pP3YCdt4+aFxdrR2aECIP8vUT+vLly9SoUcN4e+fOnbi6urJhwwbmzZvHK6+8ws6dOwstSCHyysFOg4N9wf9JwiQKKv7Eb1x96w3if/nfZZ4cKz0hCZMQxVC+kqbk5GRcH3rD//TTTzRt2hQnJycAnnnmGW7fvl04EQohRDGkT04mfPUK7iz7DENSEnG/HJMz44Qo5vKVNJUtW5a//voLgLCwMC5evGhSzDI2NhZ7KcgmhCilki9f4vrM6cQdOwoqFV4dO1F+/EQZuRSimMvXmqZOnTqxePFiIiIiuHTpEu7u7rRq1cp4/9mzZ3niiScKK0YhhCgWFL2e+99+Q9TuXWAwoPX2puywkTg9FWTt0IQQhSBfSdOoUaNIT0/n8OHDlC1bljlz5qDT6QCIiYnht99+Y8CAAYUaqBBC2LqUa1eJ+mYnKApuDRrh27c/Gmdna4clhCgk+UqatFotEydOZOLEiVnu8/Dw4OjRowUOTIic5FTAUgpSCmtzqlwF75e6YOfri65BI2uHI4QoZAUubilEUZIClsKW6BMTidyyCa+OL2Hv6wuAd6fOVo5KCGEpkjSJYsWcApZSkFIUhaTz5whftYKM6PukR96lwutTZaG3ECWcJE2i2MqpgKUUpBSWpGRkcG/ndqL37QFFwc7PjzI9eslrTohSQJImUWxlFrAUoqikhd/hzvKlpF4PA0D3fDN8e/ZB7eho5ciEEEVBkiYhhDBD8pXL3PzovyhpaahdXPAbMBi3uvWsHZYQoghJ0iSEEGZwDKiEvX9ZNC6u+A0Zhp2np7VDEkIUMUmahBAiB0n/XsApsDIqrRaVVkuFia+idnFBpZYTDYQojfL1zr9x4watWrWidevWebpPCCGKA0N6Gnc3b+Dm3A+I2v2/i49r3NwkYRKiFMv3SJOiKDlefDK3+4QQwpal3rzBnRXLSLt1EwBDSgqKosjZcUKI/CVNFStW5NChQ3m+TwghbJViMBBz6AD3vtqKkpGBxk2H3+ChuNasZe3QhBA2QtY0CSFKvYyYGMLXrCTp7N8AuNSshd+goWj//5qaQggBkjQJIQSGlGSSL/6Lys6OMj164d68pUzHCSGykKRJCFEqKQaDcVG3vX9Z/IeNxN7fH4dy5a0cmRDCVslpIEKIUifl2jXC3plG0r8XjG1udepKwiSEyJUkTUKIUkMxGLi/ZzfXP5hF2p3b3Pv6SznTVwhhNpmeE0KUCun3owhfuZzk/x9dcq1bD7/+g2TtkhDCbJI0CSFKvPjfjhPxxToMSUmoHBzw7d0PXZOmkjAJIfIk30nTpUuXuHTpEtHR0ahUKjw9PalcuTJVqlQpzPiEEKJAki6c587yJQA4BgbiP3Qk9n5+Vo5KCFEc5SlpOn78ONu3b+eHH34gLi4uy1oAlUqFm5sbLVq0oGvXrjRo0KBQgxVCiLxyCgrGtd5z2Pv7493xJVRaGWAXQuSPWZ8eR44cYf78+Zw9e5annnqKl19+maeffpqKFSui0+lQFIW4uDhu3rzJ2bNnOXr0KDt37qR69epMnDiR559/3tKPQwghAFD0eqL3f4f78y+gcXFBpVJRduRomYoTQhSYWUnT+PHj6d69O3PnzqVy5co5bvfss8/SqVMnAC5fvszmzZsZP348J0+eLJxohRAiF2l37xK+chkpVy6Tcu0qZUf+B5VKJQmTEKJQmJU0/fDDD3h4eOTpwJUrV+att94iNDQ0P3EJIYTZFEUh7thR7m78AiU1BbWTE67P1pVkSQhRqMxKmvKaMBXWvkII8Tj6xEQi1q8l4fcTADg9FYT/sBHYeftYOTIhREmTpxWR58+fZ9OmTdy8eRMPDw9CQkJo3bq1pWITQohcpd64zq0F88iIvg8aDd4vdcErpIPx8ihCCFGYzE6azp8/T8+ePUlNTTW27dmzh9dee40hQ4ZYJDghhMiN1tMLADs/P8oOG4njk4FWjkgIUZKZ/XNs0aJF2NnZsWTJEk6dOsWOHTuoWrUqS5YsIT093ZIxCiGEUfr9+8ZyJxpXV8pPmESlt2dKwiSEsDizk6azZ8/Sp08fWrRogZOTE1WrVmXq1KkkJCRw6dIlS8YoSjBFUUhN0z/2X0pqxoP/p+utHbKwEkVRiPnxENemTSHu6M/GdofyFVA7OloxMiFEaWH29FxERASBgaa/5CpXrmys0SREXimKwgdfnOTSrVhrhyJsXEZ8HBFrV5P452kAEv88LZdBEUIUObOTJoPBgEajMWlT//9iS4PBULhRiVIhLd2Q74SpSgV37O1ksW9pkPj3GcLXrEIfG4tKq8Wn6yt4tG4jCZMQosjl6ey5w4cPc+/ePePt5ORkVCoV+/bt4/z58ybbqlQqBg0aVChBipJv3timONhpsr1Pq1Xj4eFMTEwSGRkPEnR7O7V8aZZwhvQ07n31JTEH9wNgX64cZYePwqFigJUjE0KUVnlKmnbv3s3u3buztG/ZsiVLmyRNIi8c7DQ42OecNDk6aHGw16BRS6JUWqSGhRFz6AAAHi1b4dO9J2p7eytHJYQozcxOmg4ePGjJOIQQwoRTlafw6foK9uXL41qzlrXDEUII85OmsmXLGtcwCSFEYcuIieHuhvX4dHsFe39/ALxC2ls5KiGE+B+zs6BmzZrx/vvvc+bMGUvGI4QohRJOneTajGkknPqDiM/XWDscIYTIltkjTRUqVGD9+vWsX7+egIAAOnXqRKdOnahUqZIl4xNClGCG1FQit2wi9siPADhUDMC330DrBiWEEDkwO2navHkzt27dMi4GX7RoEYsXL6ZGjRq89NJLtG/fHm9vb0vGKoQoQVKuXePOiqWkR4QD4Nk2BO8uXVHb2Vk5MiGEyJ5KybweQR79+++/fPPNN+zZs4dbt26h1Wpp2LAhnTp1ok2bNjg7Oxd2rFYRHZ1oPM1dFK7UND2jPzkMwJJJL+R69pynp4v0hQ0orL5I+vcCNz+eC3o9Wk9P/IcMx7la9UKMtHSQ94btkL6wHV5eLmg0llmDne+jBgUFMXnyZA4ePMiGDRt45ZVX+Oeff5gyZQpNmjRh8uTJhRmnEKIEcQqsjEPFAFzr1qPSO7MkYRJCFAuFkorVrVuXd955h2+++YaWLVuSnJzMnj17CuPQQogSIuHMnygZGQCotFoqTHqNsqNC0bi6WjkyIYQwT56KW2YnJSWFgwcP8s0333D06FHS09Px9/enQ4cOhRGfEKKY0ycnE7nxC+J+OYpX+474dO0OgKaETOELIUqPfCVNer2en3/+mW+++YZDhw6RlJSEm5sbnTt3plOnTjz33HNyiQshBMmXLxG+Yhnp9yJBpQJN9uvWhBCiOMhT0vT777+ze/duvvvuO2JiYrCzs+OFF16gU6dONG/eHHu5xIEQAlD0eqJ27+L+t9+AwYDWx4eyQ0fg9FSQtUMTQoh8MztpatGiBeHhD04NrlevHi+99BJt27ZFp9NZLDghRPGTfi+SOyuWkXL5EgBuDRvh26e/TMcJIYo9s5MmNzc3+vTpQ6dOnfD//0scCCHEoxS9gdSbN1A7OeHbbyC6Bg2tHZIQQhQKs8+eS0hIIDAw0OIJ0+XLlxk8eDC1a9emSZMmzJ07l7S0tDwdY+3atQQHBzNy5EgLRSmEeFjmWXEA9n5+lB35HyrNmCUJkxCiRDE7abp9+zZJSUmWjIXY2FgGDhxIeno6CxcuZOLEiWzdupU5c+aYfYzIyEgWL14s1cmFKCJJ589x9a03SDp/ztjmWrMWdt4+VoxKCCEKX4FLDhSmzZs3k5iYyKJFi/Dw8AAenKk3c+ZMRo4ciZ+f32OP8eGHH9KyZUtu375t4WiFKN2UjAzu7dhG9Hd7QVGI2r0L56rVrB2WEEJYjGXqjOfTkSNHaNSokTFhAggJCcFgMHD06NHH7v/7779z4MABqUYuhIWl3r7N9fdnEb1vDygKuuebUX7MeGuHJYQQFpWnkaatW7dy7Ngxs7ZVqVS8//77eQrmypUrdOvWzaRNp9NRpkwZrly5kuu+er2eWbNmMWrUKHx9ffP0d4UQ5lEUhTt7v+Pq6rUoaWmoXVzwGzgEtzp1rR2aEEJYXJ6Spj///JO///7brG3zkzTFxcVlW8LA3d2d2NjYXPfduHEjycnJDBo0KE9/83EsddE/AXrD/64VrdWq0Wqzf64z+0D6wvqS/jnLtaXLAXB5+mnKDRuBnaenlaMqveS9YTukL2yHJWtr5ylpeu+99+jUqZOlYsm3qKgoFixYwH//+99CL7Cp0zkV6vHE/6Sk/u+MKw8PZxwdcn85Sl9Yn0fj+iQ2fwGXwCcp16kDKrV8QdgCeW/YDumLks2mFoLrdDri4+OztMfGxuLu7p7jfvPnzyc4OJh69eoRFxcHQEZGBhkZGcTFxeHs7IxWm7+HGheXjF5vyNe+InepaXrj/2NiknCwz/4SGxqNGp3OSfrCCgxpadz7ZhfebduhcXVFo1Hz1ISxxMenEBObbO3wSj15b9gO6Qvb4e7uhNpCP+hsKmkKDAzMsnYpPj6eyMhIAgMDc9zv6tWrnDhxgvr162e5r379+qxYsYJmzZrlKya93kBGhrwBLOHh5zUjw4BGnfuYqvRF0Uq9eYM7K5aRdusmKbdvU270GODB1Lv0hW2R/rAd0hfWpyiP3ya/bCppatasGUuXLjVZ27Rv3z7UajVNmjTJcb8333zTOMKU6f3338fR0ZFJkyYRHBxs0bjF4ymKQlq66QdJaro+h62FNSkGAzGHDnDvq60oGRlo3HTomjxv7bCEEMLqzE6aPvjgA5599llLxkKvXr1Yv349oaGhjBw5koiICObOnUuvXr1MajQNHDiQ27dvs3//fgCqVctaG0an0+Hs7EyDBg0sGrN4PEVR+OCLk1y6lftifmF9GTExhK9ZSdLZByd8uNSshd+goWjlGpNCCGFe0nTnzh1efvnlfP2BO3fuULZsWbO2dXd3Z926dcyaNYvQ0FBcXFzo3r07EydONNnOYDCg18soRXGRlm7INWGqUsEdeztZUGxtyVcuc2vBpxgSElDZ2VGmR2/cm7dAZclTUYQQohgxK2lq06YNnTp1onfv3tSsWdOsA588eZLNmzezd+9e/vrrL7MDqly5MmvXrs11m/Xr1z/2OOZsI4revLFNcbAzXfBtb6eWL2YbYO/nj9reHruKAfgPH4VDuXLWDkkIIWyKWUnTxo0bmTdvHj169KBcuXI0bNiQp59+mgoVKqDT6VAUhbi4OG7evMnff//Nr7/+SkREBA0aNGDDhg2WfgyiGHGw0+R4lpwoemkR4dj5+qFSqdC4uFBh0utovb1R29lZOzQhhLA5ZiVNNWvWZPXq1Zw7d46vv/6aQ4cOsW3bNgDjCIHy/8vVy5YtS+vWrenWrVu2a42EENanGAxE79vDvZ3b8es3APfnXwDA3t/fypEJIYTtytPZc9WqVWPatGlMmzaNiIgIrly5QkxMDAAeHh4EBgaadVFdIYT1pN+PInzlcpL/vQBA8r//GpMmIYQQOct3yQE/Pz9JkIQoZuJ/O07EF+swJCWhcnDAt3dfKScghBBmsqk6TUIIy9AnJxO58QvifjkKgOOTgfgPG4m9/PARQgizSdIkspVdMcr8kiKW1pd28yZxvx4DlQqvDp3w7vgSqnxeWkgIIUor+dQUWUgxypLH6amnKNOzN46VnsDpqSBrhyOEEMWSVBQUWTyuGGV+SRHLopMWeZebH39IWvgdY5tn6xclYRJCiAKQkSaRq+yKUeaXFLG0PEVRiP/lGBEb1qOkphDxxedUfPUNa4clhBAlgsWSphMnTlC/fn1LHV4UESlGWXzoExOJWL+OhN9/A8DpqSD8Bw+1clRCCFFyFHrSdPDgQVasWMGff/7JuXPnCvvwQohsJJ0/R/iqFWRE3weNBu+XuuAV0gGVWqZDhRCisOQpaTp69Ciff/45169fx93dnXbt2jFo0CAADhw4wLx587h8+TIeHh6EhoZaIl4hxCMSz/7NrXkfg6Jg5+dH2WEjcXwy0NphCSFEiWN20nT48GFGjRqFoih4enpy/fp1/vzzT6KiokhOTuaLL74gICCA6dOn07VrVxwcHCwZtxDi/zkHV8XxySexL18B3559UDs6WjskIYQokcxOmlauXImvry+rV6+mcuXKxMfHM3HiRNauXYtKpeLtt9+mV69eaDSy/kUIS1IUhfgTx3GrUw+VVotKq6XC5DdQyw8VIYSwKLMXPPzzzz/07t2bypUrA+Dm5saECRNIT09n5MiR9O3bVxKmYkhRFFLT9Kb/pBilzcqIj+P24gWEL1/KvR3bjO2SMAkhhOWZPdKUmJhIuXLlTNoybz/zzDOFG5UoElLEsnhJ/PsvwtesRB8bi0qrRatzt3ZIQghRquRpIfijNXYyb9vZ2RVeRKLIPK6IpRSjtA2G9DTuff0lMQf2A2Bfrhxlh4/CoWKAlSMTQojSJU9J044dO/jzzz+Nt1NTU1GpVGzYsIGDBw9m2X7atGkFj1AUieyKWEoxSutLu3Ob20s/I+3WTQA8WrbCp3tP1Pb2Vo5MCCFKnzyXHDh69GiW9gMHDmRpU6lUkjQVI1LE0kZptaTfu4fGTYff4KG41qxl7YiEEKLUMjtpOn/+vCXjEEL8P0NqqnFht30ZX8qFjsWhQkW0Op2VIxNCiNJNFqwIYUMSTp3k6pRXSTr3j7HNpfrTkjAJIYQNyNP03Pnz59m0aRM3b97Ew8ODkJAQWrdubanYhCg1DKmpRG7dROzhHwGI3v8dztWqWzcoIYQQJvI0PdezZ09SU1ONbXv27OG1115jyJAhFglOiNIg5do17qxcSnp4OACebdvh3aWblaMSQgjxKLOTpkWLFmFnZ8e8efNo2LAhYWFhTJ06lSVLltC/f38pO1CEFEUhLd1Q4ONIEUvrUgwGor/b+6BIpV6P1tMT/yHDZYRJCCFslNlJ09mzZ+nTpw8tWrQAoGrVqkydOpWBAwdy6dIlqlWrZrEgxf9IQcqSI+ns39z7+ksAXOvWw6//IDSurlaOSgghRE7MTpoiIiIIDDS9cnrlypVRFIW4uLhCD0xk73EFKfNDilhah3ONZ3Bv9gKOgZXRNXleamIJIYSNMztpMhgMWa4tp1arjfeJopddQcr8kCKWRUOfnEzUzm14d3gJjZsbKpUKvwGDrR2WEEIIM+Xp7LnDhw9z79494+3k5GRUKhX79u3LUsdJpVIxaNCgQglSZE8KUhYfyZcvEb5iGen3IsmIjqbc6DHWDkkIIUQe5Slp2r17N7t3787SvmXLlixtkjQJAYpeT9TuXdz/9hswGNB6e+PZ+kVrhyWEECIfzE6asru2nBAiZ2mRdwlfuZyUy5cAcGvQCN++/dE4O1s5MiGEEPlhdtJ0+/ZtKleujJeXlyXjEaJESPr3Arfmf4qSmoLayQnffgPQNWhk7bCEEEIUgNmnTA0YMCDbi/UKIbJyqFABjasLTk8FUWnGLEmYhBCiBDB7pElRFEvGIUSxl3rjOvYVKqJSqdA4u1DxtSlovbxRqaWcgxBClATyaS5EASkZGUR+tZWwd98h9shhY7udTxlJmIQQogTJ09lzUstHCFNp4Xe4s3wpqdfDHty+ddPKEQkhhLCUPCVNr732Gq+99ppZ26pUKv755598BSWErVMUhdgjPxK5ZRNKWhpqFxf8BgzGrW49a4cmhBDCQvKUNDVu3JgnnnjCQqEIUTxkxMcRsW4NiadPAeBc7Wn8hgzDztPTypEJIYSwpDwlTV26dKFTp06WikWIYiE9IoLEP0+j0mrx6dodj9YvytolIYQoBfKUNAlRWimKYlzT51TlKXz79scxsDKOAZWsHJkQQoiiIj+PhXiM1Js3uPH+LFJv3za2eTRvKQmTEEKUMpI0CZEDxWAg+sD3XJ89k5SrV4jcstHaIQkhhLAis6fnzp8/b8k4Si1FUUhLN5i9fWq63oLRiEwZMTGEr1lJ0tm/AXCpWQu/QUOtHJUQQghrkjVNVqQoCh98cZJLt2KtHYp4SMKpk0SsW4M+IR6VnR1levTGvXkLqVMmhBClnCRNVpSWbsh3wlSlgjv2djK7WtgS/jzN7cULAHCoGID/8JE4lCtv5aiEEELYAkmabMS8sU1xsNOYvb29nVpGPizApcYzOFZ5CqfKlfHu0g21nZ21QxJCCGEjJGmyEQ52GhzszU+aROFQDAZifzqCrnET1HZ2qDQaKr76BiqtvDWEEEKYkm8GUWql348ifOVykv+9QHpEOGV69AKQhEkIIUS25NtBlErxvx0n4ot1GJKSUDk4YC/rloQQQjyGJE2iVNEnJxO58QvifjkKgOOTgfgPG4m9n5+VIxNCCGHrJGkSpUbK9TDuLFlEemQkqFR4deiEd8eXZDpOCCGEWeTbQpQaGmdn9AkJaH18KDt0BE5PBVk7JCGEEMWIJE2iRNMnJqJxcQHAzqcM5cdNxL58BTTOzlaOTAghRHEj1RFFiaQoCrFHf+bqlFdJ/P9LoQA4PRUkCZMQQoh8kZEmUeLoExOJWL+WhN9PABD702Fcnq5h5aiEEEIUd5I0iRIl6fw5wletICP6Pmg0eL/UBa+QDtYOSwghRAkgSZMoEZSMDO7t2Eb0d3tBUbDz86PssJE4Phlo7dCEEEKUEJI0iRIh8ezfRO/bA4B7sxco06M3akdHK0clhBCiJJGkSZQIrrVq49GyNU5Vq+FWp661wxFCCFEC2dzZc5cvX2bw4MHUrl2bJk2aMHfuXNLS0nLd5+7du8ydO5fOnTvz7LPP0qxZMyZPnsytW7eKKGpR1DLi4whfs4qM+Dhjm2+ffpIwCSGEsBibGmmKjY1l4MCBPPHEEyxcuJCIiAjmzJlDSkoK06dPz3G/s2fPsn//frp160atWrWIjo5myZIlvPLKK+zevRsvL68ifBTC0hL/PkP4mlXoY2MxpCRTbvQYa4ckhBCiFLCppGnz5s0kJiayaNEiPDw8ANDr9cycOZORI0fil8P1werWrcvevXvRPnQ5jDp16tC8eXN27NjBkCFDiiJ8YWGGtDTubt1CzIH9ANiXK493x5esHJUQQojSwqam544cOUKjRo2MCRNASEgIBoOBo0eP5rifTqczSZgA/P398fLy4u7du5YKVxShxGthXH13hjFh8mjZmoBp7+BQMcC6gQkhhCg1bGqk6cqVK3Tr1s2kTafTUaZMGa5cuZKnY129epWoqCgqV65coJg0GsvllXqDYvy/VqtGq7WpHNZmJP1zlnOffoKSno5Gp6Pc0OG41apl7bBKpcz3gyXfF8J80h+2Q/rCdqhUlju2TSVNcXFx6HS6LO3u7u7ExsaafRxFUZg9eza+vr506FCwwoY6nVOB9s9NSmqG8f8eHs44OthUd9gMt2drcMfLE+eAilQZE4q9h7u1Qyr1LPm+EHkn/WE7pC9KthL5Lb1w4UJ+/fVXVq5ciXMBrzMWF5eMXm8opMhMpabpjf+PiUnCwV5jkb9THCVd/BenKk+hUqnQaNTUnPM+yRoHEg0KidGJ1g6v1NJo1Oh0ThZ9XwjzSX/YDukL2+Hu7oRabZkRP5tKmnQ6HfHx8VnaY2NjcXc3b3Rh69atLF68mPfee49GjRoVOCa93kBGhmXeAA8fNyPDgEZtwTHFYsKQmkrk1k3EHv4R37798WjRCgB7L08SoxMt1hcibyz5vhB5J/1hO6QvrE9RHr9NftlU0hQYGJhl7VJ8fDyRkZEEBj7+chj79+9nxowZjBs3ju7du1sqTGEhKdeucWfFUtIjwkGlIiMPU7JCCCGEpdlU0tSsWTOWLl1qsrZp3759qNVqmjRpkuu+x48fZ9KkSbzyyiuEhoYWRbiikCgGA9H79nBv53bQ69F6euI/ZDjO1apbOzQhhBDCyKaSpl69erF+/XpCQ0MZOXIkERERzJ07l169epnUaBo4cCC3b99m//4Hp59fvnyZ0NBQnnjiCTp37szp06eN23p5eREQIKel26r0qCjCVy0n+d8LALjWrYdf/0FoXF2tHJkQQghhyqaSJnd3d9atW8esWbMIDQ3FxcWF7t27M3HiRJPtDAYDev3/FlH/+eefxMfHEx8fT+/evU22ffnll5kzZ06RxJ8TRVFIS886x52ars9m69IlIyaa5EsXUTk44Nu7H7omTVFZ8nxRIYQQIp9UimLJJVPFX3QBFx8risIHX5zk0q3c1+csmfRCqTl7TjEYUD10ZkPs0Z9wqhKEfQ4V37VaNZ6eLgXuC1Fw0he2RfrDdkhf2A4vLxeL1cuSKlwWlpZueGzCVKWCO/Z2paMrki9dJGzGNFIfupiye5Pnc0yYhBBCCFthU9NzJd28sU1xsMs6mmRvpy7xU1KKXk/U7l3c370LFIV727+i/Jjx1g5LCCGEMJskTUXIwU5TaqbgHpYWeZfwFctIuXIZALeGjfDt09/KUQkhhBB5I0mTsBhFUYg7dpS7G79ASU1B7eSEb78B6BoUvOioEEIIUdQkaRIWk/DH70SsWQmA01NB+A8bgZ23j5WjEkIIIfJHkiZhMa516uJUtRrO1arjFdLB5Iw5IYQQoriRpEkUGiUjg+iD+/Fo2Qq1nT0qtZoKk16TZEkIIUSJIElTIcquiGVpKWCZduc2d1YsI/V6GBnR0fj26gMgCZMQQogSQ5KmQmJuEcuSRlEUYo/8SOSWTShpaahdXHAKCrZ2WEIIIUShk6SpkDyuiGVJLGCZER9HxLo1JJ4+BYBztafxHzoMrYenlSMTQgghCp8kTRaQXRHLklbAMvnSRW4vWYQ+NhaVVotP1+54tH5RpuOEEEKUWJI0WUBpKGKp9fRESUvDvlw5yg4fhUPFAGuHJIQQQliUJE3CbBmxMWjdPQCw8/ahwqTXsC9fAbW9vXUDE0IIIYqAzKWIx1IMBqIPfM/VKa+R+NcZY7vjk4GSMAkhhCg1ZKRJ5CojJobwNStJOvs3APG/n8DlmZpWjkoIIYQoepI0iRwlnDpJ+LrVGBISUNnZUaZHb9ybt7B2WEIIIYRVSNIksjCkphK5dROxh38EwKFiAP7DR+JQrrx1AxNCCCGsSJImkUXSuX+MCZNn23Z4d+mG2s7OukEJIYQQViZJk8jCtfazeLZrj8vTNXCuVt3a4QghhBA2Qc6eE6Tfj+L2kkVkxP6vonmZ7j0kYRJCCCEeIiNNpVz8b8eJ+GIdhqQkUKkoNyrU2iEJIYQQNkmSplJKn5xM5MYviPvlKPCg5pLPy92tHJUQQghhuyRpKoWSL18ifMUy0u9FgkqFV4dOeHd8CZVWXg5CCCFETuRbspRJOH2K258tBIMBrY8PZYeOwOmpIGuHJYQQQtg8SZpKGeeqVbHz9sGxcmV8+/RH4+xs7ZCEEEKIYkGSplwYFIXUND0ZGYbHbpuari+CiPJOURSSzv6N89M1UKlUqB2dCHhrOhpXV2uHJoQQQhQrkjTl4u79JIbP/cHaYeSbPjGRiPXrSPj9N8r06Ydny9YAkjAJIYQQ+SBJUyGrUsEdezvrl79KOn+O8FUryIi+DxoNSnq6tUMSIkeKomAwGDAYbHPE1lYZDCpSUjSkpaWi1yvWDqdUk74oGhqNFrXaet+xKkVRpHdzEB6VSGpyGhqVyux97O3UqPKwfWFTMjK4t3M70fv2gKJg5+dH2WEjcXwy0GoxFZRWq8bT04Xo6ESzpkqF5RR2XyiKQnJyAgkJsZIw5ZNarcZgkPeFLZC+KBpOTq7odF45ftd6ebmg0VgmsZKRpsdwsNOgUVsvCcqLtPBw7ixfQur1MAB0zzfDt2cf1I6OVo5MiOzFxd0nOTkBR0cXHB2dUas1Vv3RURxpNCoZ2bAR0heWpSgKaWmpJCREA+Du7l3kMUjSVILok5JIvXkDtYsLfgOH4FanrrVDEiJHBoOe5OREXF09cHV1t3Y4xZZWq5YRWBshfWF59vYOACQkROPm5lnkU3WSNBVzil6PSqMBwCkwEP9hI3AOCkbr4WnlyITInV6vBxQcHGQkVAhhvszESa/PQK22L9K/bf0VyyLfEv/+i6tvvUHqzRvGNt1zDSVhEsWMTMcJIcxnzSl8SZqKIUN6Gnc3b+DWvI/JuHePqN27rB2SEEIIUeJJ0lTMpN68wfXZ7xJzYD8AHi1b4T9kuJWjEqJ0W7VqGU2b1jP+a9++FaNHD+WXX362dmi8994M+vfvYZFjnzz5O02b1uP8+X/M3mfVqmX89defWdqbNq3Hxo3rCzO8QnP58iXatGlGdHR0nvYbM2YEr78+wTJBFbJ79yJ5663XaNOmGSEhLZkzZxaJiQlm7RsfH8+8eR/SuXM7WrZsTI8endm06QuTbdLT01m8eD4vvdSW1q2bMmHCf7h+/ZrJNv/972z++9/ZhfWQLELWNBUTisFAzKED3PtqK0pGBho3HX6Dh+Jas5a1QxNCAA4ODsyfvxSAqKhIPv98DW+8MYnFi1fwzDMl830aHFyVpUvXUKnSk2bvs2bNCpycnLM8J0uXrsHfv2xhh1goVqz4jPbtO+LpmbelD5MnT7HYqe+FKSMjg0mTxgDwzjuzSU1NYfHi+cycOY25c+flum9ycjJjx45Eo9EwbtwkPD29uHHjOomJiSbbzZv3IQcPfs+YMRMpU8aXzz9fzfjx/2H9+q24/n/B5b59B9K/fw/69BlAxYoBFnmsBSVJUzERf+I4kZs3AuBSsxZ+g4ai1emsHJUQIpNaraZGjWeMt6tXr0HXrh3Yu3d3iU2aXFxcTR5zQRTWcQrbrVs3OXr0J1atyvso2JNm1MdLTU2x+skQP/xwgKtXr7Bhw5cEBDwBgJubjkmTxvDPP39TvXqNHPf94ou1JCUlsm7dZpycnACoU6eeyTZ370awe/dOJk16g44dOwNQrVp1unXryM6dX9O370AAKlSoyDPP1GLbti8ZP36yBR5pwdl+CiwAcKvfAOena+DbdwDlxk6QhEkIG1emjC8eHp5ERESYtP/99xnGjRtF69ZNadv2BWbMeIvo6Psm29y9G8Hrr0+gVasmdO3agS1bNjB//sd0796pUGK7fPkSkyaNMcYwbdrrhIeHm2yTkJDAu+++TZs2zejYsQ3Lli1m06YvaNr0f1+I2U3P7d69k379etCyZRPjNOW5c2cBjPt+9tl841TmyZO/G+97dHpu7dqVvPRSW9q0eZ4333yN33771WSfO3du07RpPX744YDJftk9V3fvRvDuu2/ToUMrWrZsQmjocM6fP/fY52rfvm8pV648QUFVTdqXLFnIgAE9adPmebp0CeGdd97k3r1Ik20enZ5btWoZbdo8zz///M3IkYNp2bIxX3/9JQDXrl1lypRJtG37Aq1bN+W118Zz69bNx8ZXGH799RiVKz9lTJgA6tdvgE7nzi+/HM113927d9Chw0vGhCk7v/32KwaDgRYtWhvbdDp36tdvmOX4LVq0Zv/+vWRkZOTvwViYjDTZKENqKtHf7cWzXXvU9vao1GrKT5gshf+EKCaSkpKIi4ulbNlyxra//z7D2LEjadiwCTNnfkBKSjIrVixhypTJLFu2BnhQwG/KlMlER9/ntdfexNXVlY0b1xMefqdQatJERIQTGjqc8uUr8Pbbs0hLS2X58iWMHTuCdes24ezsAsD778/k5MkT/Oc/4/D392fXrh1cuJB7knH69EnmzJlF7979adSoCSkpKZw7d5aEhHjgwRTcqFGD6d69J61btwPgySezn9r7+ustrFy5lN69+1Ov3nOcOHGcOXNm5esxx8XF8Z//DMPJyYkJE17D1dWVr77ayvjxo9i8eTuenl457vv7779Ro0bNLO3R0ffp338wPj5liImJZvPmDYwePZz167ei1eb81Zqens7MmdPo0aMPI0eGotO5c+vWTUaNGkJgYGXefHMGarXq/6evRrNx49fY2+d8Wr1er+dxF/ZQq9W5vnauX79GpUqVTNpUKhWVKlXKsu7oYXfu3CYqKgp3dw/eeGMiv/32K46OTjRv3pKxYyfh7OxsPL6npxe6R37sV6r0BN9+a3oiU40aNYmJieHSpX+pWrV6ro/LGiRpskEp165xZ8VS0iPC0Sck4NunH2Dd0yyFKEqKopCWbp0igQW5FFLmr+N79+6xZMl8nJ1d6NGjl/H+pUsXUbVqNd5//0Pj3wgMrMKAAT355ZefadSoKb/+epR//z3P4sUrqFXrWQDq1KlP167tcXV1K+Cjg61bN6LXZ/Dpp4vQ6R4UFQ0Kqkq/fq+wZ883dO/ei6tXr3DkyA9MmzaTdu06ANCgQWP69Ome67H/+ecsOp07oaHjjW2NGzc1/j9zCs7X1z/X6Ti9Xs/69Wtp27a98VgNGjQiOvo+3323J8+P+csvN5GQEM+KFeuMCVLdus/Ru3dXNm1az3/+Mz7b/RRF4cKFczz/fPMs97355jsm8daoUZOXX27PyZO/89xzDXOMJSMjgxEj/kOrVi8a22bPfgedTsenny7GweFBDaIaNWrRo0dndu/eSdeur+R4vJ49uxAefifXxx8S0pG33pqR4/3x8fHZvrbc3HTExcXluF9UVBQAixfP54UXWvDhh/O5efM6S5cuIikpiZkz33/o+FkvFP/g+LEmbU8+GYhGo+Hs2b8laRK5UwwGor/by70d20CvR+PhgeuzdawdlhBFSlEUPvjiJJduxT5+YwuoUsGdqX3r5DlxSk5Opnnz/31ZajQaPvjgY+OUR0pKCn/99SehoeP/v7DnAxUrBuDr68e5c//QqFFTzp37B1dXN2PCBODs7EzduvW5cOF8wR4c8Oefp6lTp54xYYIHv/irVHmKM2f+pHv3XsbptqZNXzBuo1aradLkebZs2ZDjsYODqxIXF8t7783gxRfb8cwztXHMx2WcIiPvcu9eJM2atTBpb9GiVb6Spt9++5Vnn62Hm5vOmNiq1Wpq167DuXM5n/kXHx9HWlpatgvAf/nlKOvWreLq1csmi55v3AjLNWkCaNSoqcntEyd+pVWrF9FoNMb43NzcCAoKfuyZif/976ekp6fluo27u0eu9+eXojz4YVOxYgDTps0EoF6959BotPz3v7MZMeI/lC9fIU/H1Gq1uLq6EhV1r9DjLQySNNmI9PtRhK9cTvK/FwBwrVsPv/6D0GSTnQtR4hXDQVUHBwcWL16BwWDg5s0bLF26iNmz3+Hzz7fg4+NDfHwcer2eBQs+YcGCT7Lsf/fug7VPUVH38MimQG1uU0h5ER8fx1NPBWVzfG/jr/579+4Zv7xMt8n97LG6devz9tvv8uWXm5k0aSz29vY0b96K8eMnmyRpj3Pv3r1s/56nZ/6uNRYbG8PZs3+ZJLWZcvtST0t7kIzY2dmZtJ87d5YpUybx/PMv0K/fQDw8Hlw8duTIQaSm5p7AODo6GqetMsXExLB16ya2bt2UZXut1i5L28OeeOJJs6bncuPm5kZCQtbyAvHxcfj6+uWy34PptkcXftetWx+Aq1evUL58Bdzc3LItXxAfH5ft68LOzp7U1NRcY7YWSZpsQNK5f7i9ZBGGpCRUDg749u6LrsnzMh0nSiWVSsXUvnWK3fScWq02TidUr16DgIBKjBgxiLVrV/Dqq1NxdXVDpVLRv/9gmjVrnmX/zNEAb28fYmKy1gN6dLF4ful0umyPFR0dRcWKD9a1+Pj4kJGRQUJCgkniZE6dorZt29O2bXtiYmL4+ecfWbDgU7RaLVOnTjc7Rh8fn2z/XnR0lMntzLU+6emmi4bj402nlNzcdDRo0Jjhw0dl+Vt2djmvF8pMCjLXZGU6cuRHXF1deffdOcaE5HFTZJmye23pdO40atQk22m4RxOsRxXG9FxAwBNcuXLJpE1RFK5fD6NevQY57le+fIVc11tlJp0BAU9w//594uLiTNY1Xb9+jYCASln2S0iIx93dNq9HKUmTDbDze5DJOz4ZiP+wkdj75ZzZC1EaqFQqHOw11g6jQKpWrU7r1m3Zs+cbBg8ejre3DzVqPENY2FWqVv1PjvtVq1adhIR4Tp8+Se3aD6bnk5KS+OOPE4Wypqlmzdrs2rXd5Avs+vVrXL58iQ4dXgIgOLgaAD/99CMhIR0BMBgMHD36k9l/x8PDg44du/DLL0cJC7tmbNdqtaSl5T6KUKaML97ePhw58gMvvPC/Kboffjhosp2npxdarZawsKvGtvT0dE6fPmmyXb16z/H993upVOnJXM/yepSDgwN+fv7cvn3bpD01NQWtVmuSAH3//V6zj/uoevWe4+rVyzz1VDAaTd5e94UxPdewYWO+/34vN25cN9ZH+v3334iNjaVRoyY57mdnZ0f9+g3444/fTNpPnDgOPJiuBXjuuYao1WoOHz5Ep05dgAeL83/77TiDBg012Tc6OpqUlJRskylbIEmTlaTfi8TOpwwAdl7eVHxtKvZly6LK5awLIUTxMmjQUA4e/J6tWzcxevRY/vOf8YwfP5rp06fSqtWLuLm5ERl5lxMnjtO+fSfq1KlHw4ZNCAqqysyZ0xg5MhRXVzc2bvwcZ2cXVKr/TbOEh9+hZ88uDBkynIEDh5kdU48effj222+YNGkMAwYMIS0tlRUrluDn50/79g9O0w8MrEyzZi2YP/8jUlNT8PMry65d20lLS811FG7VqmXExsbw7LN18fT04vLlSxw//gs9e/Y1blOp0pP8/PMRatV6FicnJwICKhnP2Muk0Wjo128Q8+d/hJeXN/XrN+C3337l1Kk/TLZTq9W88EILvv56KxUqVMTd3YOvv96Koigmcfbq1Zf9+/cxZswIXnmlF35+/sTERPPPP2fx8fExie9RzzxTK8tasvr1G7B16yY+/XQuzZq14O+/z+RrrVWmoUNHMmzYACZNGstLL72Ml5cX9+9HcerUSWrVqk2bNu1y3Ldy5Sr5/ruZWrRozfr1a5g27XVGjAglJSWFxYvn0bhxU5MaTR988C779n3L4cPHjW2DB49g9OghzJw5jZCQjty4cZ1lyxbz4oshxqlPX18/OnbszOLF81Gr1cbilq6urnTu3M0klsw1XDVr1i7w47IE+YYuYopeT9TuXdz/9hvKjRlvrOjtULGilSMTQhS2gIAnaNXqRXbs+Ir+/QfzzDO1+OyzlaxatYwPPphJeno6Zcr4Ua9efSpUePAZoFKpmDPnYz788H3mzn0fNzc3unfvxY0bYVy8eMF4bEVR0Ov1GAx5m8b08/Nn0aLlLF48j3ffnYZaraF+/ef+/xTx/yUvU6dO59NP57J48Xzs7e1p164jgYGV+frrrTkeu2rV6mzduolDhw6QlJRImTK+9O7dn4ED/zeaMGnSG8yf/xGvvjqO1NRUFixYmmVNDED37j1JSIhn27Yv2b79S+rVe4433pjG5MljTbabMOF15s59j3nzPsTZ2YXevfsTEFCJn3760biNu7sHy5atYcWKJSxZspC4uFg8Pb2oXr1GtlOlD2vRohUzZ75NUlKi8flp1Kgpo0eP5euvt7Jnzzc880wt5s6dR+/eXXM9Vk4qVKjIihXrWLFiCZ98Mofk5GS8vX2oVetZKld+Kl/HzAutVsvHHy9k3rwPmTHjLTQaDS+80IJx4yaZbGcwGExOYgCoWrUaH344n6VLFzFlyiTc3Nx46aWXGTHCdDR1/PhXcXJy/v8z6xJ55plazJv3WZZ1c8ePH6NWrWfx8srf+jVLUymPW0FWioVHJUKGHo26cNYWpUXeJXzlclIuP5g79mjdBt9eOf/CEQ9otWo8PV2Ijk4kI8M661zEA4XZF+npaURF3cHbu2yu60rEgymnfv1eoVatZ01OdYcHfVJU74vQ0OGo1WoWLlxWJH/vURcvXmDw4L45JlqWkJGRQbduHRg1aqxxqjInRdkXJdGD57ojo0aNyfW5ftxnh5eXi8UuXyMjTUVAURTifznG3Y3rMaSkoHZywrffAHQNGlk7NCGEDdq5cxuKYiAg4Ani4+PYvv0rwsPvGOveFIUffzxIREQ4gYFVSE1NYf/+ffz55ynef/+jIovBFmi1Wvr2HcSXX25+bNIkCmb//n04OTnnOh1pbZI0WZg+MZGI9etI+P3BQjmnp4LwHzrcuJ5JCCEeZW9vz4YN67hz58EC5CpVgpg7d16RFvtzcnLmu+/2cOPGDTIy0gkIeILp02c9djqrJOrSpRtJSYnExMTg4eFh7XBKLLVazdSp03OtqG5tMj2Xi8KYnks49Qe3Fy8EjQbvl7rgFdIBVSFcCqE0kek52yHTc7ZHpoRsh/RF0ZDpuRLM9dm6eHV8CZeatXEKfPwVr4UQQghhm2TIo5Clhd/h5ryPyYiNMbb5dOkqCZMQQghRzEnSVEgURSHm8A+EvfsOSX//ReSWrOXwhRDZkRUCQgjzWXNVkUzPFYKM+Dgi1q0h8fQpAJyrPU2Zh65sLoTI6kHlYxWpqSnY2TlYOxwhRDGRWVFeoyn6FEaSpgJK/PsvwtesRB8bi0qrxafrK3i0biOLvYV4DLVag5OTCwkJMWRkpOPo6IxarZFrLuaRwaBCr5fROlsgfWFZiqKQlpZKQkI0Tk6uj70QsSVI0lQA8Sd+486yzwCwL1eOssNH4fD/1+0RQjyeTueFnZ0DCQkxpKQkWjucYkmtVue5KriwDOmLouHk5IpO52WVvy1JUwG4PFMTOz8/XJ6ugU/3nqhzudqzECIrlUqFs7MrTk4uGAwGDAb943cSRhqNCnd3Z2Jjk2SEw8qkL4qGRqO1yghTJptLmi5fvszs2bM5deoULi4udO7cmQkTJmD/mIREURRWrFjBxo0buX//PtWqVWPq1KnUrl270GJTDAYSTv6Ba526qNRq1I6OVHp7BmpH86+aLYTISqVSodFo8nyF99JOq1Xj6OhIcrJe6gNZmfRF6WBTC29iY2MZOHAg6enpLFy4kIkTJ7J161bmzJnz2H1XrFjBggULGDRoEMuWLaNMmTIMGTKEGzduFEpsGTEx3Jr/CXeWLibm4H5juyRMQgghROlgUyNNmzdvJjExkUWLFhlL1ev1embOnMnIkSPx8/PLdr/U1FSWLVvGkCFDGDRoEAB169alXbt2rFq1ihkzZhQoroRTJwlftxpDQgIqOztU9nKmjxBCCFHa2NRI05EjR2jUqJHJtX1CQkIwGAwcPXo0x/1OnjxJQkICISEhxjZ7e3vatGnDkSNHChCRQuQX67i9eAGGhAQcKgYQ8PZMPF5oXoBjCiGEEKI4sqmk6cqVKwQ+Ujlbp9NRpkwZrly5kut+QJZ9K1euzO3bt0lJSclXPG4ZScQd+REAz7btqPjm2ziUK5evYwkhhBCieLOp6bm4uDh0Ol2Wdnd3d2JjY3Pdz97eHgcH02kznU6HoijExsbi6OiY53icvL2ou2IpWp0bKrmgqNVklu1xd3dCLi9tXdIXtkX6w3ZIX9gOtdpytd5sKmmyNWqtFkffMtYOQ/w/a55mKkxJX9gW6Q/bIX1RstlU7+p0OuLj47O0x8bG4u7unut+aWlppKammrTHxcWhUqly3VcIIYQQwhw2lTQFBgZmWbsUHx9PZGRklvVKj+4HcPXqVZP2K1euUK5cuXxNzQkhhBBCPMymkqZmzZpx7Ngx4uLijG379u1DrVbTpEmTHPerU6cOrq6u7N2719iWnp7O999/T7NmzSwasxBCCCFKB5ta09SrVy/Wr19PaGgoI0eOJCIigrlz59KrVy+TGk0DBw7k9u3b7N//oMikg4MDI0eOZOHChXh5eREUFMSmTZuIiYlh6NCh1no4QgghhChBbCppcnd3Z926dcyaNYvQ0FBcXFzo3r07EydONNnOYDCg15teo2r48OEoisLq1auNl1FZtWoVFStWLMqHIIQQQogSSqUocnKkEEIIIcTj2NSaJiGEEEIIWyVJkxBCCCGEGSRpEkIIIYQwgyRNQgghhBBmkKRJCCGEEMIMkjQJIYQQQpihVCZNly9fZvDgwdSuXZsmTZowd+5c0tLSHrufoigsX76c5s2bU7NmTXr27Mnp06ctH3AJlp++uHv3LnPnzqVz5848++yzNGvWjMmTJ3Pr1q0iirpkyu/74mFr164lODiYkSNHWijK0qEgfREREcEbb7xBw4YNqVmzJiEhIezatcvCEZds+e2P6Ohopk+fTvPmzalduzYdO3Zk06ZNRRBxyRUWFsb06dPp3Lkz1atXp2PHjmbtV1jf3zZV3LIoxMbGMnDgQJ544gkWLlxIREQEc+bMISUlhenTp+e674oVK1iwYAGvvvoqwcHBbNiwgSFDhrBz504popkP+e2Ls2fPsn//frp160atWrWIjo5myZIlvPLKK+zevRsvL68ifBQlQ0HeF5kiIyNZvHgx3t7eFo62ZCtIX9y9e5eePXvy5JNPMmvWLFxdXbl48WKek1/xPwXpj/Hjx3PlyhUmTZpE2bJlOXLkCDNmzECj0dCjR48iegQly8WLFzl8+DC1atXCYDBgbqnJQvv+VkqZpUuXKrVr11aio6ONbZs3b1aqVaumhIeH57hfSkqKUqdOHeXjjz82tqWmpiotWrRQ3nnnHQtGXHLlty9iY2OV9PR0k7Y7d+4owcHByqpVqywVbomW37542Guvvaa8/vrrSr9+/ZQRI0ZYKNKSryB98eqrryo9e/ZUMjIyLBxl6ZHf/rh7964SFBSkfP311ybtffv2VQYMGGCpcEs8vV5v/P8bb7yhdOjQ4bH7FOb3d6mbnjty5AiNGjXCw8PD2BYSEoLBYODo0aM57nfy5EkSEhIICQkxttnb29OmTRuOHDliyZBLrPz2hU6nQ6s1HST19/fHy8uLu3fvWircEi2/fZHp999/58CBA0yePNmCUZYO+e2LhIQE9u7dS58+fdBoNEUQaemQ3/7IyMgAwM3NzaTd1dXV7NERkZVanfe0pTC/v0td0nTlyhUCAwNN2nQ6HWXKlOHKlSu57gdk2bdy5crcvn2blJSUwg+2hMtvX2Tn6tWrREVFUbly5cIMsdQoSF/o9XpmzZrFqFGj8PX1tWSYpUJ+++Ls2bOkp6ej1Wrp168fTz/9NE2aNOHDDz8kPT3d0mGXWPntj7Jly9K0aVOWLl3KpUuXSEhIYM+ePRw9epS+fftaOmzxkML8/i51a5ri4uLQ6XRZ2t3d3YmNjc11P3t7exwcHEzadTodiqIQGxuLo6NjocdbkuW3Lx6lKAqzZ8/G19eXDh06FGaIpUZB+mLjxo0kJyczaNAgC0VXuuS3L+7duwfAtGnT6NGjB2PGjOHMmTMsWLAAtVoto4D5VJD3xsKFC5k4caLxc0mj0TBt2jTatm1rkVhF9grz+7vUJU2i5Fm4cCG//vorK1euxNnZ2drhlCpRUVEsWLCA//73v9jb21s7nFLNYDAA0LhxY6ZMmQJAw4YNSUxMZPXq1YSGhsoPuyKkKApTp07l2rVrfPzxx5QpU4Zjx47x/vvv4+7uLj/wiqlSlzTpdDri4+OztMfGxuLu7p7rfmlpaaSmpppkq3FxcahUqlz3FdnLb188bOvWrSxevJj33nuPRo0aFXaIpUZ++2L+/PkEBwdTr1494uLigAdrOTIyMoiLi8PZ2TnL+jORu4J8RsGDROlhjRo1YunSpYSFhREcHFy4wZYC+e2PH3/8kX379rFr1y7j896gQQOioqKYM2eOJE1FqDC/v0vdmqbAwMAs89Dx8fFERkZmme98dD94sHbmYVeuXKFcuXLyCy4f8tsXmfbv38+MGTMYN24c3bt3t1SYpUJ+++Lq1aucOHGC+vXrG/+dPHmSn3/+mfr163Ps2DFLh17i5LcvqlSpkutxU1NTCyW+0ia//XHp0iU0Gg1BQUEm7dWqVePu3bskJydbJF6RVWF+f5e6pKlZs2YcO3bM+KsYYN++fajVapo0aZLjfnXq1MHV1ZW9e/ca29LT0/n+++9p1qyZRWMuqfLbFwDHjx9n0qRJvPLKK4SGhlo61BIvv33x5ptv8vnnn5v8q1q1KrVr1+bzzz+nZs2aRRF+iZLfvihfvjxBQUFZEtVjx47h6Oj42KRKZK8g/aHX67lw4YJJ+9mzZ/H29sbJycliMQtThfr9nacCBSVATEyM0qRJE6Vfv37KTz/9pHz11VdKvXr1lJkzZ5psN2DAAKV169YmbcuWLVNq1KihrF27Vjl27JgyduxY5dlnn1WuX79elA+hxMhvX1y6dEmpW7eu0rFjR+WPP/5QTp06ZfwXFhZW1A+jRCjI++JRUqepYArSFwcPHlSCg4OV2bNnKz///LOyZMkS5emnn1Y++eSTonwIJUp++yM+Pl5p3ry50qZNG2XHjh3KsWPHlLlz5ypVq1ZVFi9eXNQPo8RISkpS9u7dq+zdu1fp16+f8sILLxhvR0VFKYpi2e/vUrfYwN3dnXXr1jFr1ixCQ0NxcXGhe/fuTJw40WQ7g8GAXq83aRs+fDiKorB69Wru379PtWrVWLVqlVQDz6f89sWff/5JfHw88fHx9O7d22Tbl19+mTlz5hRJ/CVJQd4XonAVpC9atmzJJ598wmeffcamTZvw9fVl7NixjBgxoigfQomS3/5wdXVl7dq1fPrpp3z00UfEx8dToUIFpkyZQr9+/Yr6YZQYUVFRjB8/3qQt8/bnn39OgwYNLPr9rVIUqbIlhBBCCPE4pW5NkxBCCCFEfkjSJIQQQghhBkmahBBCCCHMIEmTEEIIIYQZJGkSQgghhDCDJE1CCCGEEGaQpEkIIYQQwgySNAkhhI05ePAgy5cvJz093dqhFLr169ezY8cOa4chRL5I0iSEMEpMTKRRo0bs2rXL2qEwceLELJV/S4O//vqLSZMmUalSJezs7PK8f//+/enfv79J27179xg3bhwNGjQgODiYtWvXcvz4cYKDgzl+/Hiejr9w4UKCg4PzHBc8SJgWL15M7dq187W/ENZW6i6jIoQt2LZtG1OnTs32vuHDh/Pqq68CDy6LcevWLeN9Xl5ePPnkkwwePJg2bdoY2/v3789vv/1mvO3g4EClSpXo1q0bAwYMQK027/fR559/jouLCx06dODmzZu0atXKrP0OHjzIrVu3GDBgQLb3t2/fnk8//TTbWN3d3alYsSK9e/ema9euxliHDx9Ot27dOH/+PFWrVjUrDnP9/PPP7NmzhzNnznD58mXKli3LoUOHCvVv5EdcXBwTJkxg8uTJtG3bttCO+8EHH/DTTz8xZswYfHx8qFGjBvfu3Su04y9dupQqVarQunXrHLc5c+YMCxYsYMWKFTzxxBOF9reFKEqSNAlhRePGjaNChQombUFBQSa3q1WrxuDBgwG4e/cuW7ZsYcyYMcyYMcPk2nv+/v5MmjQJgOjoaHbv3s0HH3xAdHR0lutkZSc9PZ3PP/+cQYMGodFo8PLyYu7cuSbbrFmzhvDw8CwJn5eXlzG569+/P88884zJ/eXLlze5/WisO3bs4K233uLatWvGhLF69erUqFGD1atXZ4mjoHbv3s2ePXuoXr06vr6+hXrsgjh37hyjR4+me/fu+T7GqlWrsrT9+uuvtGrViqFDhxrbnnzySc6cOZPn0azRo0dnuZbdsmXLaNu2ba5J06VLl1iwYIGMMoliTZImIayoWbNmWRKMR/n5+dG5c2fj7S5duvDiiy+ydu1ak6TJzc3NZLvevXsTEhLC+vXrGTduHBqNJte/8+OPP3L//n1CQkIAcHZ2NjkewJ49e4iLi8vS/rB69erRrl27XP/Wo7H27NmTdu3asWHDBsaPH2/8Ig8JCWHhwoUkJibi4uKS6zHzYuLEicyaNQs7OztGjhzJxYsXC+3YBdGgQQMaNGhQoGPY29tnaYuKikKn05m0qdVqHBwc8nx8rVaLVpv3r46uXbvmeR8hbI2saRKimClTpgyBgYEm03bZcXBwoEaNGiQmJhIVFfXY4x44cIDy5csTEBBQWKGazcnJiVq1apGUlMT9+/eN7Y0bNyYpKYljx4499hj379/n8uXLJCcnP3ZbPz+/fK0XypSQkMB7771Hy5YtqVGjBo0aNWLw4MGcPXvWuE3//v3p2LEjf//9N7169aJmzZq0bNmSTZs2ZTleWloaCxYsoE2bNtSoUYMXXniBuXPnkpaWlmXbnTt30r17d2rVqkX9+vXp27cvP//8s8nfzVzTtG3bNoKDg1EUhQ0bNhAcHGxcj5TTmqY///yT4cOHU79+fWrXrk2nTp1Yt26d8f5H1zQFBweTlJTE9u3bjcefMmWK8f6IiAimTp1K48aNqVGjBh06dOCrr77K61MuhE2QkSYhrCghIcEkSYAHU125SU9PJzw8HA8Pj8ce/9atW6hUqiyjDNk5deoUTz/99GO3e5zExMQsj8nDw+Ox66pu3ryJRqMxibVKlSo4Ojpy8uRJkzVc2dmwYQOLFi3i888/L/BozeO88847fPfdd/Tr14/KlSsTExPDH3/8weXLl02ew9jYWEaMGEFISAgdOnRg7969zJgxAzs7O+MUnMFgYPTo0fzxxx/06NGDypUr8++//7Ju3TquXbvGZ599ZjzeokWLWLhwIc8+++z/tXevIU39fxzA3/OynEbL20lqm5ZmhqRmBmnGtDKxB+qEZimWdKFSrMgQK5k+sAgfZLeFaGUXwTSpREzTAovUehKITk3U0hRRLFNLLHb5PZDt3/lPt2mmKZ8X+OAcPufsc4awD5/v5eDEiROwtLREQ0MD3r59i8DAQL08N2/ejKysLKSkpGDr1q0GO4QAUFtbi6NHj4JhGOzfvx8ODg7o6OhATU0NDhw4MOk1WVlZSEtLg5eXF6RSKQDoCu/BwUFIpVJwOBzExsbCzs4Or1+/xvnz5/H9+3fEx8dP63snZL5R0UTIPJrsR+PDhw+sY6VSqStCBgYGkJubi8HBQb0VUiqVShf37ds3lJSUoKmpCUFBQbCysjKYh1KpRHd3t8kTvw05d+6c3rmXL1+y5m79nuvQ0BAKCwuhUCgQHBwMHo+ni7OwsICTkxPa29v/OK/Z9OrVK0ilUlZH5ciRI3pxAwMDSE1N1c1Ji46OhlQqxeXLlxEREQFLS0uUlZWhrq4ODx48gJ+fn+7atWvXIj09He/fv4evry+6urogl8sREhKCa9eusYpQjUYzaZ5CoRBCoRApKSlwcXExWDSpVCrIZDIwDIOnT5+yitep7g8AERERyMjIgFAo1Lt/dnY2VCoVysrKYGtrC2Bi2Pj06dO4ceMG9u7da/R/k5B/CRVNhMwjmUyG1atXG4x58+YN/P39dcfm5uaIiIjQTZjW6uzsZMUBE6vvLly4YDSP4eFhaDQakzpSxiQmJrJ+/IGJIUVDuXI4HAQFBeHixYt69+Pz+RgaGjL6uUlJSUhKSpph1tOzbNkyNDQ0oL+/HytWrJgyzsLCAtHR0bpjLpeL6OhoZGRkQKFQwMfHB5WVlXB1dcWaNWtYHbotW7YAmBhG8/X1xYsXL6BWq5GYmKjXteNwOH/8TM3Nzejp6cHZs2f1/g9mcn+NRoOqqiqEhYVBo9Gwni0wMBDl5eVQKBTYtGnTH+dOyFyhoomQeeTl5WV0Iri3tzdOnToFDocDKysruLq6TlrcrFq1CpmZmVCr1eju7kZOTg6GhoamNdnXUEfBVO7u7ggICDAYo82Vw+GAy+XCxcUF9vb2U+Y0G0XBdP3eDdPi8/ngcrk4c+YMUlNTERQUBE9PT4jFYkRGRkIoFLLiGYaBtbU165x2uX1vby98fHzQ1dWFjo4OvYJXSzsfrbu7G2ZmZnB1dZ2lJ2T7/PkzAP3VmzP19etXjIyMoKioCEVFRVPGELKQUNFEyD/O1tbWaBECTKx2+z3O19cXUVFRyM7ORlpamsFr+Xw+OBwORkZG/jhfU/x/roaMjIzA2dn5L2ekr6+vT2+4Ujtfavfu3fDz80N1dTVqa2tx+/Zt5OXl4fr16xCLxdP6HLVaDXd39yn37XJycprxM8wntVoNAAgPD4dEIpk0ZqabZBIyX6hoImSR8vDwQHh4OB4+fIiDBw9i5cqVU8ZaWFhAJBKhp6dnDjM0TqlUoq+vD9u3b5/zz3Z0dER+fj7r3O+bbDIMg9jYWMTGxuLLly+QSCTIyclhFU0DAwMYGxtjdZs+ffoE4H97V4lEIrS2tsLf399gR00kEkGtVqOjowPr16+fjUdk0XbJ2traTC5oDbGzs4ONjQ3UavWs3I+QfwFtOUDIInb48GEolUq9H//J+Pj4oKmpaQ6yMl17ezt+/vyJjRs3Go2dzpYDpliyZAkCAgJYf3w+HyqVCqOjo6xYe3t7MAyjt0WAUqlkDU39+vULRUVFsLOz062yCwsLQ39/P4qLi/VyGB8fx9jYGABg586dMDMzg1wu13VxtGZjWNXT0xMCgQD379/X6zgau7+1tbXeNebm5ggNDcXz58/R1tamdw0NzZGFiDpNhCxibm5uEIvFKCkpQUJCgm4F02R27NiB0tJSfPz40ejk9LlSV1cHHo9nUqdiOlsOtLa26l6b0tXVhdHRUd3Sfg8PD4OdrR8/fkAsFiM0NBQeHh6wtrZGXV0dGhsbWavpgIluVF5eHnp7e+Hi4oJnz56hpaVFt7EmMLH6rKKiAunp6bpJ3yqVCp2dnaisrMStW7ewYcMGODs749ixY7h58yZiYmKwa9cucLlcNDY2gmEYJCcnG/2ODDEzM0NGRgaOHz+OyMhIREVFwdHREZ2dnWhvb590p3EtT09P1NfXIz8/HwzDQCAQwNvbG8nJyXj37h2kUin27NkDNzc3DA8PQ6FQoL6+nvU6HUIWAiqaCFnkDh06hJqaGhQUFBhcXRYcHAxbW1tUVFQgISFhDjOcWmVlJUJCQrB06dJZvW9zczOuXr3KOqc9lkgkBosmKysr7Nu3D7W1taiqqoJGo4FIJEJ6ejpiYmJYsXw+H5cuXUJmZiaKi4vh4OAAmUym288IgK57dPfuXZSWlqK6uho8Hg8CgQBxcXGsAvbkyZMQCAQoKChAdnY2eDwe1q1bZ3T/JVNt27YN9+7dg1wux507d6DRaCAUCln5TiY1NRUymQxXrlzB+Pg4JBIJvL294eDggEePHkEul6O6uhqFhYVYvnw53Nzc9FZ/ErIQcDSz0dclhCwKcrkcjx8/RlVVldHXrvxtLS0tkEgkePLkyV+Zw/O3xcXF6d4BSAhZHGhOEyFEJz4+HmNjYygvL5/vVJCbm4vQ0NAFWTARQhYnGp4jhOjY2Nigvr5+vtMAMLGbNCGE/Euo00QIIYQQYgKa00QIIYQQYgLqNBFCCCGEmICKJkIIIYQQE1DRRAghhBBiAiqaCCGEEEJMQEUTIYQQQogJqGgihBBCCDEBFU2EEEIIISagookQQgghxARUNBFCCCGEmOA/1LvUh1QbbXkAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Test de Hosmer-Lemeshow\n",
        "\n",
        "Ca ne fonctionne pas encore très bien...."
      ],
      "metadata": {
        "id": "dxOixitmilpq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Premier essai\n",
        "from scipy.stats import chi2\n",
        "# Probas prédites.\n",
        "yprob = reglog7.predict_proba(X_test)[:, 1]\n",
        "# On ajoute une colonne de constantes à la matrice (pour statsmodels)\n",
        "X_test_sm = sm.add_constant(X_test)\n",
        "# On effectue le test de Hosmer-Lemeshow\n",
        "def hosmer_lemeshow_test(y_true, yprob, g=10):\n",
        "    # On découpe en intervalles les valeurs possibles.\n",
        "    data = pd.DataFrame({'y_true': y_true, 'y_prob': yprob})\n",
        "    data['bin'] = pd.qcut(data['y_prob'], g, duplicates='drop')  # qcut : intervalles à base de quantiles\n",
        "    # Pour chaque intervalle, calcul des fréquences observées et prédites\n",
        "    observed = data.groupby('bin')['y_true'].sum()\n",
        "    expected = data.groupby('bin')['y_prob'].sum()\n",
        "    total = data.groupby('bin')['y_true'].count()\n",
        "    # Stat de Hosmer-Lemeshow\n",
        "    hl_stat = (((observed - expected) ** 2) / (expected * (total - expected) / total)).sum()\n",
        "    p_value = 1 - chi2.cdf(hl_stat, g - 2)  # DDL = g - 2\n",
        "    return hl_stat, p_value\n",
        "hl_stat, p_value = hosmer_lemeshow_test(Y_test, yprob)\n",
        "print(f'Hosmer-Lemeshow Test Statistic: {hl_stat}')\n",
        "print(f'P-value: {p_value}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wFvj21vkeAP8",
        "outputId": "6f01a08d-347b-436a-8101-f74031d7e477",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Hosmer-Lemeshow Test Statistic: 4.100400111925941\n",
            "P-value: 0.8479532388506352\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipykernel_2249/2771785901.py:13: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
            "  observed = data.groupby('bin')['y_true'].sum()\n",
            "/tmp/ipykernel_2249/2771785901.py:14: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
            "  expected = data.groupby('bin')['y_prob'].sum()\n",
            "/tmp/ipykernel_2249/2771785901.py:15: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
            "  total = data.groupby('bin')['y_true'].count()\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Second essai\n",
        "\n",
        "\"\"\"\n",
        "Test de Hosmer–Lemeshow pour un modèle logistique binaire.\n",
        "Exemple : y = chd (0/1), x = age (et intercept).\n",
        "\n",
        "Requis : pandas, numpy, matplotlib, statsmodels, scipy\n",
        "pip install pandas numpy matplotlib statsmodels scipy\n",
        "\"\"\"\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from scipy.stats import chi2\n",
        "import statsmodels.api as sm\n",
        "\n",
        "COL_Y = \"chd\"\n",
        "COL_X = ['ldl','tobacco','typea','age']\n",
        "\n",
        "def hosmer_lemeshow(y_true, y_prob, g=10):\n",
        "    \"\"\"\n",
        "    Calcule la statistique de Hosmer–Lemeshow.\n",
        "    - y_true : array-like (0/1)\n",
        "    - y_prob : probabilités prédites du modèle\n",
        "    - g      : nombre de groupes (déciles par défaut)\n",
        "\n",
        "    Retourne: dict avec 'stat', 'p_value', 'df', 'table' (DataFrame par groupe).\n",
        "    \"\"\"\n",
        "    y_true = np.asarray(y_true).astype(int)\n",
        "    y_prob = np.asarray(y_prob).astype(float)\n",
        "\n",
        "    # Groupes par quantiles de probabilité\n",
        "    # duplicates='drop'\n",
        "    grp = pd.qcut(y_prob, q=g, labels=False, duplicates='drop')\n",
        "    df = pd.DataFrame({\"y\": y_true, \"p\": y_prob, \"grp\": grp})\n",
        "\n",
        "    # Agrégation par groupe: n_g, o_g, e_g\n",
        "    tab = df.groupby(\"grp\", dropna=True).apply(\n",
        "        lambda d: pd.Series({\n",
        "            \"n\": len(d),\n",
        "            \"observed_events\": d[\"y\"].sum(),\n",
        "            \"expected_events\": d[\"p\"].sum(),\n",
        "            \"avg_pred\": d[\"p\"].mean(),\n",
        "            \"avg_obs\": d[\"y\"].mean()\n",
        "        })\n",
        "    ).reset_index(drop=True)\n",
        "\n",
        "    # Statistique HL: s\n",
        "    # Gestion des cas extrêmes E=0 ou n-E=0\n",
        "    eps = 1e-12\n",
        "    E = tab[\"expected_events\"].to_numpy()\n",
        "    O = tab[\"observed_events\"].to_numpy()\n",
        "    n = tab[\"n\"].to_numpy()\n",
        "    E_clipped = np.clip(E, eps, n - eps)\n",
        "    stat = np.sum((O - E_clipped)**2 / E_clipped + ((n - O) - (n - E_clipped))**2 / (n - E_clipped))\n",
        "\n",
        "    # ddl = (#groupes effectifs) - 2\n",
        "    g_eff = tab.shape[0]\n",
        "    df_hl = max(g_eff - 2, 1)  # sécurité\n",
        "    pval = chi2.sf(stat, df_hl)\n",
        "\n",
        "    # Ajout des composantes dans le tableau\n",
        "    tab[\"chi_part_events\"] = (O - E_clipped)**2 / E_clipped\n",
        "    tab[\"chi_part_nonevents\"] = ((n - O) - (n - E_clipped))**2 / (n - E_clipped)\n",
        "    tab[\"chi_contrib\"] = tab[\"chi_part_events\"] + tab[\"chi_part_nonevents\"]\n",
        "\n",
        "    return {\"stat\": float(stat), \"p_value\": float(pval), \"df\": int(df_hl), \"table\": tab}\n",
        "\n",
        "data = maladie.copy()\n",
        "y = data[COL_Y].astype(int).values\n",
        "X = sm.add_constant(data[COL_X].astype(float))\n",
        "model = sm.Logit(y, X).fit(disp=False)\n",
        "p_hat = model.predict(X)\n",
        "\n",
        "hl = hosmer_lemeshow(y_true=y, y_prob=p_hat, g=10)\n",
        "print(\"\\n=== Test de Hosmer–Lemeshow ===\")\n",
        "print(f\"Statistique HL : {hl['stat']:.3f}\")\n",
        "print(f\"ddl            : {hl['df']}\")\n",
        "print(f\"p-valeur       : {hl['p_value']:.4f}\")\n",
        "print(\"\\nTableau par groupe (trié par probabilité prédite croissante) :\")\n",
        "print(hl[\"table\"][[\"n\",\"observed_events\",\"expected_events\",\"avg_obs\",\"avg_pred\",\"chi_contrib\"]].to_string(index=False))\n",
        "\n",
        "# Visualisation\n",
        "tab = hl[\"table\"]\n",
        "tab = tab.reset_index(drop=True)\n",
        "tab[\"group\"] = tab.index + 1\n",
        "plt.figure(figsize=(8,5))\n",
        "width = 0.35\n",
        "plt.bar(tab[\"group\"] - width/2, tab[\"avg_obs\"], width=width, label=\"Taux observé\")\n",
        "plt.bar(tab[\"group\"] + width/2, tab[\"avg_pred\"], width=width, label=\"Taux attendu (moy. p̂)\")\n",
        "plt.xlabel(\"Groupe (par déciles de probabilité prédite)\")\n",
        "plt.ylabel(\"Taux d'événements (chd=1)\")\n",
        "plt.title(\"Hosmer–Lemeshow: Observé vs prédit, par groupe\")\n",
        "plt.xticks(tab[\"group\"])\n",
        "plt.legend()\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 868
        },
        "id": "IUo7igwfevjW",
        "outputId": "0dda5471-82f0-49ca-b62b-14c46b20b0df",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipykernel_2249/3960312419.py:38: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
            "  tab = df.groupby(\"grp\", dropna=True).apply(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "=== Test de Hosmer–Lemeshow ===\n",
            "Statistique HL : 8.991\n",
            "ddl            : 8\n",
            "p-valeur       : 0.3430\n",
            "\n",
            "Tableau par groupe (trié par probabilité prédite croissante) :\n",
            "   n  observed_events  expected_events  avg_obs  avg_pred  chi_contrib\n",
            "47.0              1.0         2.211505 0.021277  0.047053     0.696456\n",
            "46.0              3.0         4.549439 0.065217  0.098901     0.585623\n",
            "46.0              8.0         7.354773 0.173913  0.159886     0.067378\n",
            "46.0             10.0        10.425932 0.217391  0.226651     0.022500\n",
            "46.0             19.0        13.260671 0.413043  0.288275     3.490155\n",
            "46.0             12.0        16.439039 0.260870  0.357370     1.865266\n",
            "46.0             24.0        19.914634 0.521739  0.432927     1.477918\n",
            "46.0             24.0        23.285945 0.521739  0.506216     0.044344\n",
            "46.0             25.0        27.694330 0.543478  0.602051     0.658693\n",
            "47.0             34.0        34.863732 0.723404  0.741782     0.082870\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Interprétation** :\n",
        "\n",
        "Calcule la statistique HL par déciles de probabilité prédite et affiche la $p$-valeur ainsi qu'un tableau Observé/Attendu par groupe.\n",
        "\n",
        "Grouper par déciles ($g=10$) est la pratique courante.\n",
        "\n",
        "Le test HL est sensible au choix des groupes et n'indique pas quel aspect du modèle est en cause.\n",
        "\n",
        "Sous l'hypothèse nulle, le modèle est bien calibré. Une grande $p$-valeur indique qu'il n'y a pas de preuve contre l'hypothèse nulle. Sinon, le modèle est mal spécifié."
      ],
      "metadata": {
        "id": "X6a6z7lCe9Rs"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Dernier test : vérifier la normalité asymptotique."
      ],
      "metadata": {
        "id": "tos3LmxbhxcF"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "On souhaite vérifier la converge de l'estimateur $\\widehat{\\beta}$ vers $\\beta$ à l'aide du théorème de la limite centrale. En principe,\n",
        "\n",
        "$$\\sqrt{n}(\\widehat{\\beta}-\\beta)\\rightsquigarrow\\mathcal{N}(0,\\mathbb{I}(\\beta)^{-1})$$\n",
        "\n",
        "Le script ci-dessous vérifie la normalité asymptotique de l'EMV logistique sur le jeu de données \"chd\" (colonnes age, chd).\n",
        "\n",
        "On utilise du bootstrap avec remise pour approcher la loi d'échantillonnage de $\\widehat{\\beta}_n$ pour différents $n$.\n",
        "\n",
        "Le script ajoute $\\mathbb{P}[Y=1|age]$, puis calcule l'info de Fisher $\\mathbb{I}=X^TWX/n$ pour $n=40,80,120,160$."
      ],
      "metadata": {
        "id": "TctcOTK4ggcv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import statsmodels.api as sm\n",
        "\n",
        "COL_Y = \"chd\"\n",
        "COL_X = [\"age\"]\n",
        "BOOT_B = 300 # nombre de réplications bootstrap par n\n",
        "NS = [40, 80, 120, 160]\n",
        "RANDOM_SEED = 123\n",
        "\n",
        "rng = np.random.default_rng(RANDOM_SEED)\n",
        "\n",
        "def fit_logit(y, X):\n",
        "    \"\"\"Ajuste un logit (statsmodels) et renvoie params (beta) et succès (bool).\"\"\"\n",
        "    try:\n",
        "        model = sm.Logit(y, sm.add_constant(X, has_constant='add'))\n",
        "        res = model.fit(disp=False, maxiter=200)\n",
        "        return res.params, True\n",
        "    except Exception:\n",
        "        return None, False\n",
        "\n",
        "def fisher_per_obs(X, p):\n",
        "    \"\"\"\n",
        "    Information de Fisher par observation pour le logit: (1/n) X^T W X,\n",
        "    avec W = diag(p*(1-p)). X inclut l'intercept.\n",
        "    \"\"\"\n",
        "    n = X.shape[0]\n",
        "    W = (p*(1-p))\n",
        "    XtW = (X.T * W)\n",
        "    I = (XtW @ X) / n\n",
        "    return I\n",
        "\n",
        "def inv_sqrt_matrix(S):\n",
        "    \"\"\"Inverse de la racine: S^{-1/2} via décomp. propre symétrique.\"\"\"\n",
        "    vals, vecs = np.linalg.eigh(S)\n",
        "    vals = np.clip(vals, 1e-12, None)\n",
        "    Sinvhalf = (vecs @ np.diag(1.0/np.sqrt(vals)) @ vecs.T)\n",
        "    return Sinvhalf\n",
        "\n",
        "def qnorm(u):\n",
        "    \"\"\"Quantile normal standard. Utilise SciPy si dispo, sinon approximation.\"\"\"\n",
        "    try:\n",
        "        from scipy.stats import norm\n",
        "        return norm.ppf(u)\n",
        "    except Exception:\n",
        "        a = [2.50662823884, -18.61500062529, 41.39119773534, -25.44106049637]\n",
        "        b = [-8.47351093090, 23.08336743743, -21.06224101826, 3.13082909833]\n",
        "        c = [0.3374754822726147, 0.9761690190917186, 0.1607979714918209,\n",
        "             0.0276438810333863, 0.0038405729373609, 0.0003951896511919,\n",
        "             0.0000321767881768, 0.0000002888167364, 0.0000003960315187]\n",
        "        x = u - 0.5\n",
        "        if abs(x) < 0.42:\n",
        "            r = x*x\n",
        "            num = x*(((a[3]*r+a[2])*r+a[1])*r+a[0])\n",
        "            den = ((((b[3]*r+b[2])*r+b[1])*r+b[0])*r+1.0)\n",
        "            return num/den\n",
        "        else:\n",
        "            r = u if x>0 else 1-u\n",
        "            s = np.log(-np.log(r))\n",
        "            t = c[0]+s*(c[1]+s*(c[2]+s*(c[3]+s*(c[4]+s*(c[5]+s*(c[6]+s*(c[7]+s*c[8])))))))\n",
        "            return t if x>0 else -t\n",
        "\n",
        "# Chargement des données\n",
        "df = maladie.dropna(subset=[COL_Y] + COL_X).copy()\n",
        "y_full = df[COL_Y].astype(int).values\n",
        "X_full = df[COL_X].astype(float).values\n",
        "n_full = len(df)\n",
        "# Vérification\n",
        "if n_full < max(NS):\n",
        "    print(f\"Le jeu de données contient n={n_full} < max(NS)={max(NS)}. \"\n",
        "          f\"Réduction NS à <= {n_full}.\")\n",
        "    NS = [n for n in NS if n <= n_full]\n",
        "# EMV et info de Fisher par estimateur plug-in\n",
        "beta_full, ok = fit_logit(y_full, X_full)\n",
        "if not ok:\n",
        "    raise RuntimeError(\"Échec de l'ajustement sur l'échantillon complet.\")\n",
        "\n",
        "Xc = sm.add_constant(X_full, has_constant='add')\n",
        "eta = Xc @ beta_full\n",
        "p_full = 1.0 / (1.0 + np.exp(-eta))\n",
        "\n",
        "# Information de Fisher par observation (2x2)\n",
        "I_hat = fisher_per_obs(Xc, p_full)\n",
        "I_hat_inv = np.linalg.inv(I_hat)\n",
        "I_inv_sqrt = inv_sqrt_matrix(I_hat)  # (I_hat)^{-1/2}\n",
        "\n",
        "print(\"MLE complet:\")\n",
        "print(f\"beta_full = {beta_full.values if hasattr(beta_full,'values') else beta_full}\")\n",
        "print(\"I_hat (par observation) =\\n\", I_hat)\n",
        "print(\"I_hat^{-1} =\\n\", I_hat_inv)\n",
        "\n",
        "# Bootstrap\n",
        "results = {}\n",
        "pdim = Xc.shape[1]  # intercept + age = 2\n",
        "\n",
        "for n in NS:\n",
        "    Z_list = []\n",
        "    b_count = 0\n",
        "    while b_count < BOOT_B:\n",
        "        # échantillon bootstrap (avec remise) de taille n depuis {1..n}\n",
        "        idx = rng.integers(low=0, high=n_full, size=n)\n",
        "        y_b = y_full[idx]\n",
        "        X_b = X_full[idx, :]\n",
        "        beta_b, ok = fit_logit(y_b, X_b)\n",
        "        if not ok:\n",
        "            continue\n",
        "        # delta = sqrt(n) (beta_b - beta_full)\n",
        "        delta = np.sqrt(n) * (beta_b - beta_full)\n",
        "        # standardisation par I_hat^{-1/2} (cible: N(0, I2))\n",
        "        z = I_inv_sqrt @ delta\n",
        "        Z_list.append(z)\n",
        "        b_count += 1\n",
        "\n",
        "    Z = np.vstack(Z_list)  # (B x p)\n",
        "    # Covariance empirique de delta standardisé devrait être ≈ I_p\n",
        "    cov_emp = np.cov(Z, rowvar=False, bias=False)\n",
        "    frob_diff = np.linalg.norm(cov_emp - np.eye(pdim), ord='fro')\n",
        "\n",
        "    results[n] = {\"Z\": Z, \"cov_emp\": cov_emp, \"frob_diff\": frob_diff}\n",
        "\n",
        "    print(f\"\\n--- n={n} ---\")\n",
        "    print(\"Cov(Z) empirique ≈ I :\\n\", cov_emp)\n",
        "    print(f\"||Cov(Z) - I(β)||_F = {frob_diff:.3f}\")\n",
        "\n",
        "# Visualisation\n",
        "fig, axes = plt.subplots(2, len(NS), figsize=(4*len(NS), 7), constrained_layout=True)\n",
        "\n",
        "param_names = [\"Intercept\", \"Age\"]\n",
        "for j in range(pdim):  # 0: intercept, 1: age\n",
        "    for k, n in enumerate(NS):\n",
        "        ax = axes[j, k] if len(NS) > 1 else axes[j]\n",
        "        Z = results[n][\"Z\"][:, j]\n",
        "        Z = np.sort(Z)\n",
        "        # quantiles théoriques\n",
        "        q = (np.arange(1, len(Z)+1) - 0.5) / len(Z)\n",
        "        th = np.array([qnorm(u) for u in q])\n",
        "\n",
        "        ax.scatter(th, Z, s=10, alpha=0.7)\n",
        "        # droite y=x\n",
        "        lim = np.percentile(np.abs(Z), 99.5)\n",
        "        lim = max(lim, 3.0)\n",
        "        ax.plot([-lim, lim], [-lim, lim], linewidth=2)\n",
        "        ax.set_xlabel(\"Quantiles N(0,1)\")\n",
        "        ax.set_ylabel(\"Quantiles empiriques\")\n",
        "        ax.set_title(f\"QQ-plot {param_names[j]}  |  n={n}\")\n",
        "        ax.grid(alpha=0.3)\n",
        "\n",
        "plt.suptitle(\"Convergence AN du MLE logistique  –  Standardisé par I(β)^{-1/2}\", y=1.02, fontsize=12)\n",
        "plt.show()\n",
        "\n",
        "# Ecart de covariance vs n (avec la norme de Frobenius)\n",
        "plt.figure(figsize=(6,4))\n",
        "ns_sorted = sorted(NS)\n",
        "errs = [results[n][\"frob_diff\"] for n in ns_sorted]\n",
        "plt.plot(ns_sorted, errs, marker=\"o\", linewidth=2)\n",
        "plt.xlabel(\"Taille d'échantillon n (bootstrap)\")\n",
        "plt.ylabel(r\"$\\|\\mathrm{Cov}(Z)-I\\|_F$\")\n",
        "plt.title(\"Convergence de la covariance standardisée vers I\")\n",
        "plt.grid(alpha=0.3)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "print(\"\\nInterprétation :\")\n",
        "print(\"- Les QQ-plots doivent se rapprocher de la diagonale quand n augmente,\")\n",
        "print(\"  indiquant une convergence vers une loi normale standard.\")\n",
        "print(\"- La norme de Frobenius ||Cov(Z)-I(β)|| doit décroître avec n.\")\n",
        "print(\"- Z = I(β)^{-1/2} * \\sqrt(n) * (β_n - β) \\sim \\mathcal{N}(0,I) si NA,\")\n",
        "print(\" I(β) info de Fisher par observation évaluée au MLE complet.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "4HAT8yzWf8Cj",
        "outputId": "19f5f65e-3c7d-4e66-ce2c-5b4a81d2d56d",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<>:168: SyntaxWarning: invalid escape sequence '\\s'\n",
            "<>:168: SyntaxWarning: invalid escape sequence '\\s'\n",
            "/tmp/ipykernel_2249/2013312575.py:168: SyntaxWarning: invalid escape sequence '\\s'\n",
            "  print(\"- Z = I(β)^{-1/2} * \\sqrt(n) * (β_n - β) \\sim \\mathcal{N}(0,I) si NA,\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "MLE complet:\n",
            "beta_full = [-3.52171034  0.06410803]\n",
            "I_hat (par observation) =\n",
            " [[1.94077189e-01 9.15303954e+00]\n",
            " [9.15303954e+00 4.61405634e+02]]\n",
            "I_hat^{-1} =\n",
            " [[ 7.99638800e+01 -1.58626705e+00]\n",
            " [-1.58626705e+00  3.36345374e-02]]\n",
            "\n",
            "--- n=40 ---\n",
            "Cov(Z) empirique ≈ I :\n",
            " [[ 2.04694215e+04 -4.05820893e+02]\n",
            " [-4.05820893e+02  8.04569638e+00]]\n",
            "||Cov(Z) - I(β)||_F = 20476.467\n",
            "\n",
            "--- n=80 ---\n",
            "Cov(Z) empirique ≈ I :\n",
            " [[ 7.19389167e+03 -1.42699789e+02]\n",
            " [-1.42699789e+02  2.83063259e+00]]\n",
            "||Cov(Z) - I(β)||_F = 7195.722\n",
            "\n",
            "--- n=120 ---\n",
            "Cov(Z) empirique ≈ I :\n",
            " [[ 6.25854577e+03 -1.24150485e+02]\n",
            " [-1.24150485e+02  2.46277227e+00]]\n",
            "||Cov(Z) - I(β)||_F = 6260.009\n",
            "\n",
            "--- n=160 ---\n",
            "Cov(Z) empirique ≈ I :\n",
            " [[ 6.18944577e+03 -1.22777745e+02]\n",
            " [-1.22777745e+02  2.43550131e+00]]\n",
            "||Cov(Z) - I(β)||_F = 6190.881\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x700 with 8 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Interprétation :\n",
            "- Les QQ-plots doivent se rapprocher de la diagonale quand n augmente,\n",
            "  indiquant une convergence vers une loi normale standard.\n",
            "- La norme de Frobenius ||Cov(Z)-I(β)|| doit décroître avec n.\n",
            "- Z = I(β)^{-1/2} * \\sqrt(n) * (β_n - β) \\sim \\mathcal{N}(0,I) si NA,\n",
            " I(β) info de Fisher par observation évaluée au MLE complet.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Modèles imbriqués Forward/Backward**\n",
        "\n",
        "pas fini : à vérifier..."
      ],
      "metadata": {
        "id": "jGnNxAxCjsHK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\"\n",
        "Sélection de variables par modèles imbriqués pour une régression logistique (chd ~ prédicteurs)\n",
        "- Forward LRT (α_enter=0.05) puis Backward LRT optionnel (α_remove=0.10)\n",
        "- Gestion auto des variables catégorielles: C(var) si faible cardinalité\n",
        "- Sorties: étapes, formule finale, résumé, OR + IC95%\n",
        "\n",
        "Requis: pandas, numpy, statsmodels, scipy\n",
        "pip install pandas numpy statsmodels scipy\n",
        "\"\"\"\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import statsmodels.api as sm\n",
        "import statsmodels.formula.api as smf\n",
        "from scipy.stats import chi2\n",
        "\n",
        "# ==========================\n",
        "# Paramètres\n",
        "# ==========================\n",
        "# Utilise le dataframe 'maladie'\n",
        "TARGET     = \"chd\"           # 0/1\n",
        "ALPHA_ENTER  = 0.05          # seuil pour entrer (LRT)\n",
        "ALPHA_REMOVE = 0.10          # seuil pour sortir (LRT) (facultatif, pour backward)\n",
        "CAT_MAX_UNIQUES = 10         # <= -> variable catégorielle\n",
        "IGNORE_COLS = {TARGET, \"ind\"} # à ignorer (ind est l'index) (changed 'id' to 'ind')\n",
        "USE_BACKWARD = True          # True = passe backward après forward\n",
        "\n",
        "# Lecture & préparation\n",
        "df = maladie.copy()\n",
        "df = df.dropna().copy()\n",
        "# Assure que la cible est binaire int\n",
        "if TARGET not in df.columns:\n",
        "    raise ValueError(f\"La colonne cible '{TARGET}' est absente.\")\n",
        "df[TARGET] = df[TARGET].astype(int)\n",
        "if not set(df[TARGET].unique()).issubset({0,1}):\n",
        "    raise ValueError(f\"'{TARGET}' doit être binaire 0/1.\")\n",
        "# Détection des candidates et typage\n",
        "candidates = []\n",
        "for col in df.columns:\n",
        "    if col in IGNORE_COLS:\n",
        "        continue\n",
        "    # Heuristique: object/category -> catégorielle; numériques avec faible cardinalité -> cat.\n",
        "    if df[col].dtype == 'O' or str(df[col].dtype).startswith('category'):\n",
        "        candidates.append(f\"C({col})\")\n",
        "    else:\n",
        "        nunique = df[col].nunique(dropna=True)\n",
        "        if nunique <= CAT_MAX_UNIQUES and nunique >= 2:\n",
        "            candidates.append(f\"C({col})\")\n",
        "        elif nunique >= 2:\n",
        "            candidates.append(col)\n",
        "if not candidates:\n",
        "    raise ValueError(\"Aucun prédicteur détecté. Vérifiez le CSV et les paramètres.\")\n",
        "\n",
        "# Fonctions utiles\n",
        "def fit_logit_formula(formula, data):\n",
        "    \"\"\"Ajuste GLM binomial (logit). Retourne résultat, logLik, df, AIC, BIC.\"\"\"\n",
        "    # GLM est plus robuste que Logit face à quelques cas limites\n",
        "    model = smf.glm(formula=formula, data=data, family=sm.families.Binomial())\n",
        "    res = model.fit()\n",
        "    llf = res.llf\n",
        "    k   = res.df_model + 1  # nb de paramètres (incl. intercept)\n",
        "    aic = res.aic\n",
        "    bic = res.bic\n",
        "    return res, llf, int(k), aic, bic\n",
        "\n",
        "def lrt(full_res, red_res):\n",
        "    \"\"\"Rapport de vraisemblance pour modèles imbriqués (full vs reduced).\"\"\"\n",
        "    D = 2 * (full_res.llf - red_res.llf)\n",
        "    df = int((full_res.df_model + 1) - (red_res.df_model + 1))\n",
        "    p  = chi2.sf(D, df)\n",
        "    return D, df, p\n",
        "\n",
        "def add_var_to_formula(base_formula, var):\n",
        "    \"\"\"Ajoute 'var' à la formule si pas déjà présent.\"\"\"\n",
        "    left, right = base_formula.split(\"~\")\n",
        "    terms = [t.strip() for t in right.split(\"+\") if t.strip()]\n",
        "    if var not in terms:\n",
        "        terms.append(var)\n",
        "    return f\"{left.strip()} ~ \" + \" + \".join(terms) if terms else f\"{left.strip()} ~ 1\"\n",
        "\n",
        "def remove_var_from_formula(base_formula, var):\n",
        "    left, right = base_formula.split(\"~\")\n",
        "    terms = [t.strip() for t in right.split(\"+\") if t.strip()]\n",
        "    terms = [t for t in terms if t != var]\n",
        "    return f\"{left.strip()} ~ \" + \" + \".join(terms) if terms else f\"{left.strip()} ~ 1\"\n",
        "\n",
        "def terms_in_formula(formula):\n",
        "    left, right = formula.split(\"~\")\n",
        "    right = right.strip()\n",
        "    return [] if right == \"\" or right == \"1\" else [t.strip() for t in right.split(\"+\")]\n",
        "\n",
        "# Sélection Forward (LRT)\n",
        "current_formula = f\"{TARGET} ~ 1\"    # départ: intercept seul\n",
        "current_res, current_ll, current_k, current_aic, current_bic = fit_logit_formula(current_formula, df)\n",
        "\n",
        "remaining = set(candidates)\n",
        "history = []\n",
        "step = 0\n",
        "\n",
        "while remaining:\n",
        "    best = None\n",
        "    best_gain = -np.inf\n",
        "    best_p = 1.0\n",
        "    best_res = None\n",
        "    best_formula = None\n",
        "    for var in sorted(remaining):\n",
        "        trial_formula = add_var_to_formula(current_formula, var)\n",
        "        trial_res, trial_ll, trial_k, trial_aic, trial_bic = fit_logit_formula(trial_formula, df)\n",
        "        D, df_diff, pval = lrt(trial_res, current_res)\n",
        "        gain = trial_ll - current_ll\n",
        "        if pval < ALPHA_ENTER and gain > best_gain:\n",
        "            best = var\n",
        "            best_gain = gain\n",
        "            best_p = pval\n",
        "            best_res = trial_res\n",
        "            best_formula = trial_formula\n",
        "            best_aic = trial_aic\n",
        "            best_bic = trial_bic\n",
        "\n",
        "    if best is None:\n",
        "        break\n",
        "\n",
        "    step += 1\n",
        "    history.append({\n",
        "        \"step\": step,\n",
        "        \"action\": f\"+ {best}\",\n",
        "        \"formula\": best_formula,\n",
        "        \"lrt_p\": best_p,\n",
        "        \"AIC\": best_aic,\n",
        "        \"BIC\": best_bic\n",
        "    })\n",
        "    current_formula = best_formula\n",
        "    current_res = best_res\n",
        "    current_ll = best_res.llf\n",
        "    current_k = int(best_res.df_model + 1)\n",
        "    current_aic = best_aic\n",
        "    current_bic = best_bic\n",
        "    remaining.remove(best)\n",
        "\n",
        "# Passe Backward (LRT)\n",
        "if USE_BACKWARD:\n",
        "    improved = True\n",
        "    while improved:\n",
        "        improved = False\n",
        "        terms = terms_in_formula(current_formula)\n",
        "        # on ne peut pas enlever l'intercept\n",
        "        worst = None\n",
        "        worst_p = 0.0\n",
        "        worst_res = None\n",
        "        worst_formula = None\n",
        "        for var in list(terms):\n",
        "            trial_formula = remove_var_from_formula(current_formula, var)\n",
        "            trial_res, trial_ll, trial_k, trial_aic, trial_bic = fit_logit_formula(trial_formula, df)\n",
        "            # test: modèle courant (full) vs trial (reduced)\n",
        "            D, df_diff, pval = lrt(current_res, trial_res)  # p small -> garder var\n",
        "            # on cherche une var \"faible\" (p grande) qu'on peut retirer\n",
        "            if pval > ALPHA_REMOVE and pval > worst_p:\n",
        "                worst = var\n",
        "                worst_p = pval\n",
        "                worst_res = trial_res\n",
        "                worst_formula = trial_formula\n",
        "                worst_aic = trial_aic\n",
        "                worst_bic = trial_bic\n",
        "        if worst is not None:\n",
        "            step += 1\n",
        "            history.append({\n",
        "                \"step\": step,\n",
        "                \"action\": f\"- {worst}\",\n",
        "                \"formula\": worst_formula,\n",
        "                \"lrt_p\": worst_p,\n",
        "                \"AIC\": worst_aic,\n",
        "                \"BIC\": worst_bic\n",
        "            })\n",
        "            current_formula = worst_formula\n",
        "            current_res = worst_res\n",
        "            current_ll = worst_res.llf\n",
        "            current_k = int(worst_res.df_model + 1)\n",
        "            current_aic = worst_aic\n",
        "            current_bic = worst_bic\n",
        "            improved = True\n",
        "\n",
        "# Résultats\n",
        "hist_df = pd.DataFrame(history)\n",
        "print(\"\\n=== Étapes de sélection (modèles imbriqués, LRT) ===\")\n",
        "if hist_df.empty:\n",
        "    print(\"(Aucune variable ajoutée/supprimée aux seuils choisis.)\")\n",
        "else:\n",
        "    print(hist_df.to_string(index=False))\n",
        "\n",
        "print(\"\\n=== Modèle final ===\")\n",
        "print(\"Formule :\", current_formula)\n",
        "print(current_res.summary())\n",
        "\n",
        "# OR + IC95%\n",
        "params = current_res.params\n",
        "conf   = current_res.conf_int()\n",
        "or_tab = pd.DataFrame({\n",
        "    \"param\": params.index,\n",
        "    \"OR\": np.exp(params.values),\n",
        "    \"OR_CI95_low\": np.exp(conf[0].values),\n",
        "    \"OR_CI95_high\": np.exp(conf[1].values),\n",
        "    \"p_value\": current_res.pvalues.values\n",
        "})\n",
        "print(\"\\n=== Odds Ratios (IC95%) ===\")\n",
        "print(or_tab.to_string(index=False))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M3fVVemzkArs",
        "outputId": "68aac1f7-9855-42bd-bf13-d7af497a2768",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "=== Étapes de sélection (modèles imbriqués, LRT) ===\n",
            " step       action                                                  formula        lrt_p        AIC          BIC\n",
            "    1  + C(cl_age)                                      chd ~ 1 + C(cl_age) 4.277929e-15 532.677670 -2281.275486\n",
            "    2 + C(famhist)                         chd ~ 1 + C(cl_age) + C(famhist) 1.488748e-05 515.925767 -2293.891823\n",
            "    3    + tobacco               chd ~ 1 + C(cl_age) + C(famhist) + tobacco 4.845479e-04 505.751556 -2299.930469\n",
            "    4      + typea       chd ~ 1 + C(cl_age) + C(famhist) + tobacco + typea 1.620377e-03 497.815106 -2303.731355\n",
            "    5        + ldl chd ~ 1 + C(cl_age) + C(famhist) + tobacco + typea + ldl 2.656301e-03 490.785419 -2306.625476\n",
            "\n",
            "=== Modèle final ===\n",
            "Formule : chd ~ 1 + C(cl_age) + C(famhist) + tobacco + typea + ldl\n",
            "                 Generalized Linear Model Regression Results                  \n",
            "==============================================================================\n",
            "Dep. Variable:                    chd   No. Observations:                  462\n",
            "Model:                            GLM   Df Residuals:                      453\n",
            "Model Family:                Binomial   Df Model:                            8\n",
            "Link Function:                  Logit   Scale:                          1.0000\n",
            "Method:                          IRLS   Log-Likelihood:                -236.39\n",
            "Date:                Tue, 11 Aug 2026   Deviance:                       472.79\n",
            "Time:                        13:50:09   Pearson chi2:                     483.\n",
            "No. Iterations:                     6   Pseudo R-squ. (CS):             0.2343\n",
            "Covariance Type:            nonrobust                                         \n",
            "================================================================================================================\n",
            "                                                   coef    std err          z      P>|z|      [0.025      0.975]\n",
            "----------------------------------------------------------------------------------------------------------------\n",
            "Intercept                                       -6.3139      1.026     -6.151      0.000      -8.326      -4.302\n",
            "C(cl_age)[T.Interval(25, 35, closed='left')]     1.7802      0.783      2.275      0.023       0.246       3.314\n",
            "C(cl_age)[T.Interval(35, 45, closed='left')]     1.9338      0.775      2.495      0.013       0.414       3.453\n",
            "C(cl_age)[T.Interval(45, 55, closed='left')]     2.2599      0.772      2.927      0.003       0.747       3.773\n",
            "C(cl_age)[T.Interval(55, 65, closed='left')]     2.9128      0.767      3.798      0.000       1.409       4.416\n",
            "C(famhist)[T.True]                               0.9292      0.228      4.080      0.000       0.483       1.376\n",
            "tobacco                                          0.0839      0.026      3.233      0.001       0.033       0.135\n",
            "typea                                            0.0363      0.012      2.986      0.003       0.012       0.060\n",
            "ldl                                              0.1627      0.055      2.940      0.003       0.054       0.271\n",
            "================================================================================================================\n",
            "\n",
            "=== Odds Ratios (IC95%) ===\n",
            "                                       param        OR  OR_CI95_low  OR_CI95_high      p_value\n",
            "                                   Intercept  0.001811     0.000242      0.013540 7.688104e-10\n",
            "C(cl_age)[T.Interval(25, 35, closed='left')]  5.930838     1.279522     27.490615 2.290828e-02\n",
            "C(cl_age)[T.Interval(35, 45, closed='left')]  6.916022     1.513579     31.601483 1.260865e-02\n",
            "C(cl_age)[T.Interval(45, 55, closed='left')]  9.581939     2.109739     43.518919 3.423884e-03\n",
            "C(cl_age)[T.Interval(55, 65, closed='left')] 18.407531     4.093757     82.769244 1.461097e-04\n",
            "                          C(famhist)[T.True]  2.532559     1.620624      3.957643 4.509229e-05\n",
            "                                     tobacco  1.087564     1.033608      1.144337 1.224241e-03\n",
            "                                       typea  1.036968     1.012551      1.061973 2.826904e-03\n",
            "                                         ldl  1.176729     1.055756      1.311564 3.279685e-03\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/statsmodels/genmod/generalized_linear_model.py:1923: FutureWarning: The bic value is computed using the deviance formula. After 0.13 this will change to the log-likelihood based formula. This change has no impact on the relative rank of models compared using BIC. You can directly access the log-likelihood version using the `bic_llf` attribute. You can suppress this message by calling statsmodels.genmod.generalized_linear_model.SET_USE_BIC_LLF with True to get the LLF-based version now or False to retainthe deviance version.\n",
            "  warnings.warn(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Le script ci-dessous a été obtenu à partir de chat-GPT en lui demandant de corriger l'exercice. Bien sûr, vous, vous n'avez pas le droit de faire ça."
      ],
      "metadata": {
        "id": "nQJQbF_fFpck"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import statsmodels.api as sm\n",
        "import statsmodels.formula.api as smf\n",
        "\n",
        "from scipy.stats import chi2\n",
        "from sklearn.feature_selection import RFE\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import (\n",
        "    accuracy_score, balanced_accuracy_score, precision_score, recall_score,\n",
        "    f1_score, confusion_matrix, classification_report,\n",
        "    roc_curve, roc_auc_score\n",
        ")\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "sns.set_context(\"notebook\")\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 0. Chargement et préparation\n",
        "# -----------------------------------------------------------------------------\n",
        "URL = \"https://cpmath.fr/DatasetMaladie.txt\"\n",
        "LOCAL_FILE = \"DatasetMaladie.txt\"\n",
        "\n",
        "try:\n",
        "    maladie = pd.read_csv(LOCAL_FILE, sep=\";\")\n",
        "    print(f\"Données lues depuis {LOCAL_FILE}\")\n",
        "except FileNotFoundError:\n",
        "    maladie = pd.read_csv(URL, sep=\";\")\n",
        "    print(f\"Données téléchargées depuis {URL}\")\n",
        "\n",
        "# L'indice n'est pas une variable explicative.\n",
        "maladie = maladie.drop(columns=[\"ind\"])\n",
        "\n",
        "# Encodage numérique utile pour scikit-learn ; statsmodels formule peut garder\n",
        "# famhist comme variable catégorielle via C(famhist).\n",
        "maladie[\"famhist_bin\"] = (maladie[\"famhist\"] == \"Present\").astype(int)\n",
        "\n",
        "print(\"\\nDimensions :\", maladie.shape)\n",
        "print(\"\\nTypes :\\n\", maladie.dtypes)\n",
        "print(\"\\nValeurs manquantes :\\n\", maladie.isna().sum())\n",
        "print(\"\\nRépartition de chd :\\n\", maladie[\"chd\"].value_counts())\n",
        "print(\"Prévalence observée de CHD : {:.1f}%\".format(100 * maladie[\"chd\"].mean()))\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 1. Statistiques descriptives et nuage âge / CHD\n",
        "# -----------------------------------------------------------------------------\n",
        "print(\"\\n\" + \"=\" * 78)\n",
        "print(\"1. STATISTIQUES DESCRIPTIVES\")\n",
        "print(\"=\" * 78)\n",
        "print(maladie.describe(include=\"all\").T)\n",
        "\n",
        "plt.figure(figsize=(9, 5))\n",
        "sns.stripplot(data=maladie, x=\"age\", y=\"chd\", jitter=0.08, alpha=0.45)\n",
        "plt.yticks([0, 1], [\"Pas de CHD\", \"CHD\"])\n",
        "plt.xlabel(\"Âge\")\n",
        "plt.ylabel(\"Statut CHD\")\n",
        "plt.title(\"Maladie coronarienne en fonction de l'âge\")\n",
        "plt.tight_layout()\n",
        "plt.savefig(\"fig1_age_chd.png\", dpi=200)\n",
        "plt.show()\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 2. Proportion de malades par classes d'âge + courbe logistique\n",
        "# -----------------------------------------------------------------------------\n",
        "print(\"\\n\" + \"=\" * 78)\n",
        "print(\"2. PROPORTION DE CHD PAR CLASSES D'ÂGE\")\n",
        "print(\"=\" * 78)\n",
        "\n",
        "bins = [14, 25, 35, 45, 55, 65]\n",
        "maladie[\"classe_age\"] = pd.cut(maladie[\"age\"], bins=bins, include_lowest=True)\n",
        "prop_age = maladie.groupby(\"classe_age\", observed=False).agg(\n",
        "    age_moyen=(\"age\", \"mean\"),\n",
        "    proportion_chd=(\"chd\", \"mean\"),\n",
        "    n=(\"chd\", \"size\")\n",
        ").dropna()\n",
        "print(prop_age)\n",
        "\n",
        "# Ajustement âge seul, utilisé pour superposer la courbe logistique.\n",
        "reglog_age = smf.glm(\n",
        "    \"chd ~ age\", data=maladie, family=sm.families.Binomial()\n",
        ").fit()\n",
        "\n",
        "age_grid = pd.DataFrame({\"age\": np.linspace(maladie.age.min(), maladie.age.max(), 300)})\n",
        "pred_age = reglog_age.get_prediction(age_grid).summary_frame()\n",
        "\n",
        "plt.figure(figsize=(9, 5))\n",
        "sns.stripplot(data=maladie, x=\"age\", y=\"chd\", jitter=0.08, alpha=0.20)\n",
        "plt.scatter(\n",
        "    prop_age[\"age_moyen\"], prop_age[\"proportion_chd\"],\n",
        "    s=70, label=\"Proportion observée par classe d'âge\"\n",
        ")\n",
        "plt.plot(age_grid[\"age\"], pred_age[\"mean\"], linewidth=2,\n",
        "         label=\"Probabilité logistique ajustée\")\n",
        "plt.fill_between(\n",
        "    age_grid[\"age\"].to_numpy(),\n",
        "    pred_age[\"mean_ci_lower\"].to_numpy(),\n",
        "    pred_age[\"mean_ci_upper\"].to_numpy(),\n",
        "    alpha=0.18, label=\"IC 95 % de la probabilité moyenne\"\n",
        ")\n",
        "plt.xlabel(\"Âge\")\n",
        "plt.ylabel(\"P(CHD = 1)\")\n",
        "plt.ylim(-0.05, 1.05)\n",
        "plt.title(\"Proportion de CHD et ajustement logistique selon l'âge\")\n",
        "plt.legend()\n",
        "plt.tight_layout()\n",
        "plt.savefig(\"fig2_age_logistique.png\", dpi=200)\n",
        "plt.show()\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 3-4. Régression logistique CHD ~ âge : coefficients et inférence\n",
        "# -----------------------------------------------------------------------------\n",
        "print(\"\\n\" + \"=\" * 78)\n",
        "print(\"3-4. RÉGRESSION LOGISTIQUE : CHD ~ AGE\")\n",
        "print(\"=\" * 78)\n",
        "print(reglog_age.summary())\n",
        "\n",
        "\n",
        "def coefficient_table(result):\n",
        "    \"\"\"Table coef, SE, z, p, IC et odds-ratios avec IC 95 %.\"\"\"\n",
        "    ci = result.conf_int()\n",
        "    out = pd.DataFrame({\n",
        "        \"coef\": result.params,\n",
        "        \"std_err\": result.bse,\n",
        "        \"z\": result.tvalues,\n",
        "        \"p_value\": result.pvalues,\n",
        "        \"IC95_inf\": ci[0],\n",
        "        \"IC95_sup\": ci[1],\n",
        "        \"odds_ratio\": np.exp(result.params),\n",
        "        \"OR_IC95_inf\": np.exp(ci[0]),\n",
        "        \"OR_IC95_sup\": np.exp(ci[1]),\n",
        "    })\n",
        "    return out\n",
        "\n",
        "print(\"\\nCoefficients, tests de Wald et odds-ratios :\")\n",
        "print(coefficient_table(reglog_age).round(4))\n",
        "\n",
        "b0, b_age = reglog_age.params[\"Intercept\"], reglog_age.params[\"age\"]\n",
        "print(f\"\\nLogit estimé : log(p/(1-p)) = {b0:.4f} + {b_age:.4f} age\")\n",
        "print(f\"OR pour +1 an = exp(beta_age) = {np.exp(b_age):.4f}\")\n",
        "print(\"Variation relative des odds pour +1 an = {:.2f}%\".format(\n",
        "    100 * (np.exp(b_age) - 1)\n",
        "))\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 5. Modèle complet\n",
        "# -----------------------------------------------------------------------------\n",
        "print(\"\\n\" + \"=\" * 78)\n",
        "print(\"5. MODÈLE COMPLET\")\n",
        "print(\"=\" * 78)\n",
        "\n",
        "variables = [\n",
        "    \"sbp\", \"tobacco\", \"ldl\", \"adiposity\", \"C(famhist)\",\n",
        "    \"typea\", \"obesity\", \"alcohol\", \"age\"\n",
        "]\n",
        "formula_full = \"chd ~ \" + \" + \".join(variables)\n",
        "reglog_full = smf.glm(\n",
        "    formula_full, data=maladie, family=sm.families.Binomial()\n",
        ").fit()\n",
        "\n",
        "print(reglog_full.summary())\n",
        "print(\"\\nTable des coefficients et odds-ratios :\")\n",
        "print(coefficient_table(reglog_full).round(4))\n",
        "print(f\"\\nAIC = {reglog_full.aic:.3f}\")\n",
        "print(f\"BIC (défini à partir de la log-vraisemblance) = {reglog_full.bic_llf:.3f}\")\n",
        "print(f\"Déviance résiduelle = {reglog_full.deviance:.3f}\")\n",
        "print(f\"Déviance nulle = {reglog_full.null_deviance:.3f}\")\n",
        "\n",
        "for var in [\"sbp\", \"obesity\"]:\n",
        "    print(f\"{var:10s}: coef={reglog_full.params[var]: .4f}, p={reglog_full.pvalues[var]:.4g}\")\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 6a. RFE : sélection prédictive (scikit-learn)\n",
        "# -----------------------------------------------------------------------------\n",
        "print(\"\\n\" + \"=\" * 78)\n",
        "print(\"6a. RFE (sélection prédictive, pas un test de significativité)\")\n",
        "print(\"=\" * 78)\n",
        "\n",
        "features_sk = [\n",
        "    \"sbp\", \"tobacco\", \"ldl\", \"adiposity\", \"famhist_bin\",\n",
        "    \"typea\", \"obesity\", \"alcohol\", \"age\"\n",
        "]\n",
        "X_sk = maladie[features_sk]\n",
        "y_sk = maladie[\"chd\"]\n",
        "\n",
        "scaler = StandardScaler()\n",
        "X_sk_std = scaler.fit_transform(X_sk)\n",
        "\n",
        "# Ici on demande arbitrairement 5 variables ; RFECV serait préférable pour\n",
        "# choisir automatiquement ce nombre par validation croisée.\n",
        "rfe = RFE(\n",
        "    estimator=LogisticRegression(max_iter=5000, solver=\"liblinear\"),\n",
        "    n_features_to_select=5,\n",
        "    step=1\n",
        ")\n",
        "rfe.fit(X_sk_std, y_sk)\n",
        "\n",
        "rfe_table = pd.DataFrame({\n",
        "    \"variable\": features_sk,\n",
        "    \"selectionnee\": rfe.support_,\n",
        "    \"rang_RFE\": rfe.ranking_\n",
        "}).sort_values(\"rang_RFE\")\n",
        "print(rfe_table.to_string(index=False))\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 6b. Backward elimination fondée sur l'AIC (modèle d'inférence)\n",
        "# -----------------------------------------------------------------------------\n",
        "print(\"\\n\" + \"=\" * 78)\n",
        "print(\"6b. ÉLIMINATION BACKWARD PAR AIC\")\n",
        "print(\"=\" * 78)\n",
        "\n",
        "\n",
        "def fit_formula(data, terms):\n",
        "    formula = \"chd ~ 1\" if len(terms) == 0 else \"chd ~ \" + \" + \".join(terms)\n",
        "    return smf.glm(formula, data=data, family=sm.families.Binomial()).fit()\n",
        "\n",
        "\n",
        "def backward_aic(data, candidate_terms, verbose=True):\n",
        "    \"\"\"Retire à chaque étape la variable dont le retrait diminue le plus l'AIC.\"\"\"\n",
        "    terms = candidate_terms.copy()\n",
        "    current = fit_formula(data, terms)\n",
        "    if verbose:\n",
        "        print(f\"Départ : AIC = {current.aic:.3f} ; {terms}\")\n",
        "\n",
        "    while len(terms) > 1:\n",
        "        candidates = []\n",
        "        for term in terms:\n",
        "            reduced_terms = [t for t in terms if t != term]\n",
        "            reduced = fit_formula(data, reduced_terms)\n",
        "            candidates.append((reduced.aic, term, reduced))\n",
        "\n",
        "        best_aic, removed, best_model = min(candidates, key=lambda z: z[0])\n",
        "        if best_aic + 1e-10 < current.aic:\n",
        "            terms.remove(removed)\n",
        "            current = best_model\n",
        "            if verbose:\n",
        "                print(f\"Retrait de {removed:12s} -> AIC = {current.aic:.3f}\")\n",
        "        else:\n",
        "            break\n",
        "    return current, terms\n",
        "\n",
        "reglog_final, final_terms = backward_aic(maladie, variables)\n",
        "formula_final = \"chd ~ \" + \" + \".join(final_terms)\n",
        "print(\"\\nModèle final AIC :\", formula_final)\n",
        "print(reglog_final.summary())\n",
        "print(\"\\nAIC final = {:.3f}\".format(reglog_final.aic))\n",
        "print(\"BIC final = {:.3f}\".format(reglog_final.bic_llf))\n",
        "\n",
        "# Identifiabilité locale / rang de la matrice de design\n",
        "X_design = reglog_final.model.exog\n",
        "rank = np.linalg.matrix_rank(X_design)\n",
        "p_dim = X_design.shape[1]\n",
        "print(f\"\\nRang de X = {rank}, nombre de paramètres = {p_dim}\")\n",
        "print(\"Matrice de design de rang plein :\", rank == p_dim)\n",
        "print(\"Convergence :\", reglog_final.converged)\n",
        "\n",
        "# Déviance : statistique 2*(log-vraisemblance saturée - log-vraisemblance modèle).\n",
        "# Pour des réponses Bernoulli individuelles, l'approximation chi2 de la déviance\n",
        "# comme test global d'adéquation doit être interprétée avec prudence.\n",
        "naive_dev_p = chi2.sf(reglog_final.deviance, reglog_final.df_resid)\n",
        "print(f\"Déviance résiduelle = {reglog_final.deviance:.3f}\")\n",
        "print(f\"ddl résiduels = {reglog_final.df_resid:.0f}\")\n",
        "print(f\"p-valeur chi2 naïve de déviance = {naive_dev_p:.4g} (prudence : données Bernoulli individuelles)\")\n",
        "\n",
        "# Résidus de déviance vs valeurs ajustées\n",
        "plt.figure(figsize=(8, 5))\n",
        "plt.scatter(reglog_final.fittedvalues, reglog_final.resid_deviance, alpha=0.55)\n",
        "plt.axhline(0, linestyle=\"--\", linewidth=1)\n",
        "plt.xlabel(\"Probabilité ajustée\")\n",
        "plt.ylabel(\"Résidu de déviance\")\n",
        "plt.title(\"Résidus de déviance du modèle final\")\n",
        "plt.tight_layout()\n",
        "plt.savefig(\"fig3_residus_deviance.png\", dpi=200)\n",
        "plt.show()\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 7. Tests globaux : Wald, score et rapport de vraisemblance\n",
        "#    H0 : tous les coefficients de pente du modèle final sont nuls.\n",
        "# -----------------------------------------------------------------------------\n",
        "print(\"\\n\" + \"=\" * 78)\n",
        "print(\"7. TESTS WALD, SCORE ET RAPPORT DE VRAISEMBLANCE\")\n",
        "print(\"=\" * 78)\n",
        "\n",
        "# Modèle nul\n",
        "reglog_null = smf.glm(\n",
        "    \"chd ~ 1\", data=maladie, family=sm.families.Binomial()\n",
        ").fit()\n",
        "\n",
        "# Wald global : R beta = 0 pour tous les coefficients sauf l'intercept.\n",
        "n_params = len(reglog_final.params)\n",
        "R = np.zeros((n_params - 1, n_params))\n",
        "R[:, 1:] = np.eye(n_params - 1)\n",
        "wald = reglog_final.wald_test(R, scalar=True)\n",
        "print(f\"Wald : chi2 = {float(wald.statistic):.3f}, ddl = {n_params-1}, p = {float(wald.pvalue):.4g}\")\n",
        "\n",
        "# Score : le modèle nul est évalué en ajoutant les colonnes de pente du modèle final.\n",
        "X_extra = reglog_final.model.exog[:, 1:]\n",
        "score_stat, score_p, score_df = reglog_null.score_test(exog_extra=X_extra)\n",
        "print(f\"Score : chi2 = {float(score_stat):.3f}, ddl = {int(score_df)}, p = {float(score_p):.4g}\")\n",
        "\n",
        "# Rapport de vraisemblance\n",
        "lr_stat = 2 * (reglog_final.llf - reglog_null.llf)\n",
        "lr_df = int(reglog_final.df_model - reglog_null.df_model)\n",
        "lr_p = chi2.sf(lr_stat, lr_df)\n",
        "print(f\"LR    : chi2 = {lr_stat:.3f}, ddl = {lr_df}, p = {lr_p:.4g}\")\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 8. Test de Hosmer-Lemeshow\n",
        "# -----------------------------------------------------------------------------\n",
        "print(\"\\n\" + \"=\" * 78)\n",
        "print(\"8. TEST DE HOSMER-LEMESHOW\")\n",
        "print(\"=\" * 78)\n",
        "\n",
        "\n",
        "def hosmer_lemeshow(y_true, p_hat, g=10):\n",
        "    df = pd.DataFrame({\"y\": np.asarray(y_true), \"p\": np.asarray(p_hat)})\n",
        "    # qcut peut réduire le nombre de groupes si des quantiles sont identiques.\n",
        "    df[\"group\"] = pd.qcut(df[\"p\"], q=g, duplicates=\"drop\")\n",
        "    tab = df.groupby(\"group\", observed=True).agg(\n",
        "        n=(\"y\", \"size\"),\n",
        "        obs_1=(\"y\", \"sum\"),\n",
        "        exp_1=(\"p\", \"sum\")\n",
        "    )\n",
        "    tab[\"obs_0\"] = tab[\"n\"] - tab[\"obs_1\"]\n",
        "    tab[\"exp_0\"] = tab[\"n\"] - tab[\"exp_1\"]\n",
        "\n",
        "    eps = 1e-12\n",
        "    stat = (\n",
        "        ((tab[\"obs_1\"] - tab[\"exp_1\"]) ** 2 / (tab[\"exp_1\"] + eps)) +\n",
        "        ((tab[\"obs_0\"] - tab[\"exp_0\"]) ** 2 / (tab[\"exp_0\"] + eps))\n",
        "    ).sum()\n",
        "    g_eff = len(tab)\n",
        "    df_hl = g_eff - 2\n",
        "    pval = chi2.sf(stat, df_hl)\n",
        "    return stat, df_hl, pval, tab\n",
        "\n",
        "hl_stat, hl_df, hl_p, hl_table = hosmer_lemeshow(\n",
        "    maladie[\"chd\"], reglog_final.fittedvalues, g=10\n",
        ")\n",
        "print(hl_table.round(3))\n",
        "print(f\"\\nHosmer-Lemeshow : chi2 = {hl_stat:.3f}, ddl = {hl_df}, p = {hl_p:.4g}\")\n",
        "print(\"Une grande p-valeur signifie qu'on ne détecte pas d'écart de calibration ;\")\n",
        "print(\"elle ne prouve pas que le modèle est parfaitement calibré.\")\n",
        "\n",
        "# Courbe de calibration par déciles (complément visuel au test HL)\n",
        "calib = hl_table.copy()\n",
        "calib[\"proportion_observee\"] = calib[\"obs_1\"] / calib[\"n\"]\n",
        "calib[\"probabilite_moyenne\"] = calib[\"exp_1\"] / calib[\"n\"]\n",
        "\n",
        "plt.figure(figsize=(6, 6))\n",
        "plt.plot([0, 1], [0, 1], \"--\", label=\"Calibration parfaite\")\n",
        "plt.plot(calib[\"probabilite_moyenne\"], calib[\"proportion_observee\"], \"o-\",\n",
        "         label=\"Modèle\")\n",
        "plt.xlabel(\"Probabilité moyenne prédite\")\n",
        "plt.ylabel(\"Proportion observée de CHD\")\n",
        "plt.title(\"Calibration du modèle final\")\n",
        "plt.legend()\n",
        "plt.tight_layout()\n",
        "plt.savefig(\"fig4_calibration.png\", dpi=200)\n",
        "plt.show()\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 9. Odds-ratios, probabilités et intervalles de confiance\n",
        "# -----------------------------------------------------------------------------\n",
        "print(\"\\n\" + \"=\" * 78)\n",
        "print(\"9. INTERPRÉTATION : ODDS-RATIOS ET PROBABILITÉS\")\n",
        "print(\"=\" * 78)\n",
        "print(coefficient_table(reglog_final).round(4))\n",
        "\n",
        "# Exemple particulièrement simple avec le modèle âge seul.\n",
        "ages_exemple = pd.DataFrame({\"age\": [30, 40, 50, 60]})\n",
        "pred_exemple = reglog_age.get_prediction(ages_exemple).summary_frame()\n",
        "result_age = pd.concat(\n",
        "    [ages_exemple.reset_index(drop=True),\n",
        "     pred_exemple[[\"mean\", \"mean_ci_lower\", \"mean_ci_upper\"]].reset_index(drop=True)],\n",
        "    axis=1\n",
        ")\n",
        "result_age.columns = [\"age\", \"P_CHD\", \"IC95_inf\", \"IC95_sup\"]\n",
        "print(\"\\nProbabilités prévues par le modèle CHD ~ âge :\")\n",
        "print(result_age.round(4).to_string(index=False))\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 10. Échantillon d'apprentissage / test et qualité prédictive\n",
        "#     IMPORTANT : on refait la sélection AIC uniquement sur le train.\n",
        "# -----------------------------------------------------------------------------\n",
        "print(\"\\n\" + \"=\" * 78)\n",
        "print(\"10. APPRENTISSAGE / TEST\")\n",
        "print(\"=\" * 78)\n",
        "\n",
        "train, test = train_test_split(\n",
        "    maladie, test_size=0.30, random_state=123, stratify=maladie[\"chd\"]\n",
        ")\n",
        "\n",
        "train_model, train_terms = backward_aic(train, variables, verbose=False)\n",
        "train_formula = \"chd ~ \" + \" + \".join(train_terms)\n",
        "print(\"Modèle sélectionné sur le train :\", train_formula)\n",
        "\n",
        "# predict avec une formule statsmodels sait traiter C(famhist) dans le DataFrame test.\n",
        "p_test = np.asarray(train_model.predict(test))\n",
        "y_test = test[\"chd\"].to_numpy()\n",
        "y_pred = (p_test >= 0.5).astype(int)\n",
        "\n",
        "cm = confusion_matrix(y_test, y_pred)\n",
        "print(\"\\nMatrice de confusion :\\n\", cm)\n",
        "print(\"\\nRapport de classification :\\n\", classification_report(y_test, y_pred, digits=3))\n",
        "print(f\"Accuracy          = {accuracy_score(y_test, y_pred):.3f}\")\n",
        "print(f\"Balanced accuracy = {balanced_accuracy_score(y_test, y_pred):.3f}\")\n",
        "print(f\"Sensibilité       = {recall_score(y_test, y_pred):.3f}\")\n",
        "print(f\"Précision         = {precision_score(y_test, y_pred):.3f}\")\n",
        "print(f\"F1-score          = {f1_score(y_test, y_pred):.3f}\")\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 11. Courbe ROC et AUC sur le jeu de test\n",
        "# -----------------------------------------------------------------------------\n",
        "print(\"\\n\" + \"=\" * 78)\n",
        "print(\"11. COURBE ROC\")\n",
        "print(\"=\" * 78)\n",
        "\n",
        "fpr, tpr, thresholds = roc_curve(y_test, p_test)\n",
        "auc_test = roc_auc_score(y_test, p_test)\n",
        "print(f\"AUC test = {auc_test:.3f}\")\n",
        "\n",
        "plt.figure(figsize=(7, 6))\n",
        "plt.plot(fpr, tpr, linewidth=2, label=f\"Modèle (AUC = {auc_test:.3f})\")\n",
        "plt.plot([0, 1], [0, 1], \"--\", label=\"Classifieur aléatoire\")\n",
        "plt.xlabel(\"Taux de faux positifs (1 - spécificité)\")\n",
        "plt.ylabel(\"Taux de vrais positifs (sensibilité)\")\n",
        "plt.title(\"Courbe ROC sur l'échantillon test\")\n",
        "plt.legend(loc=\"lower right\")\n",
        "plt.tight_layout()\n",
        "plt.savefig(\"fig5_roc.png\", dpi=200)\n",
        "plt.show()\n",
        "\n",
        "# -----------------------------------------------------------------------------\n",
        "# 12. Conclusion automatique concise\n",
        "# -----------------------------------------------------------------------------\n",
        "print(\"\\n\" + \"=\" * 78)\n",
        "print(\"12. CONCLUSION\")\n",
        "print(\"=\" * 78)\n",
        "print(\"Variables du modèle AIC sur l'ensemble des données :\", final_terms)\n",
        "print(\"Variables du modèle AIC sélectionné sur le train :\", train_terms)\n",
        "print(f\"AUC sur le test = {auc_test:.3f}\")\n",
        "print(\"La conclusion doit distinguer :\")\n",
        "print(\"  - l'inférence (coefficients, IC, tests, odds-ratios),\")\n",
        "print(\"  - la calibration (Hosmer-Lemeshow + graphique),\")\n",
        "print(\"  - la discrimination prédictive (ROC/AUC et métriques sur le test).\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "giqNYghuFviS",
        "outputId": "a041ff1f-bd5b-419c-9e5d-fcaba6150565"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Données téléchargées depuis https://cpmath.fr/DatasetMaladie.txt\n",
            "\n",
            "Dimensions : (462, 11)\n",
            "\n",
            "Types :\n",
            " sbp              int64\n",
            "tobacco        float64\n",
            "ldl            float64\n",
            "adiposity      float64\n",
            "famhist         object\n",
            "typea            int64\n",
            "obesity        float64\n",
            "alcohol        float64\n",
            "age              int64\n",
            "chd              int64\n",
            "famhist_bin      int64\n",
            "dtype: object\n",
            "\n",
            "Valeurs manquantes :\n",
            " sbp            0\n",
            "tobacco        0\n",
            "ldl            0\n",
            "adiposity      0\n",
            "famhist        0\n",
            "typea          0\n",
            "obesity        0\n",
            "alcohol        0\n",
            "age            0\n",
            "chd            0\n",
            "famhist_bin    0\n",
            "dtype: int64\n",
            "\n",
            "Répartition de chd :\n",
            " chd\n",
            "0    302\n",
            "1    160\n",
            "Name: count, dtype: int64\n",
            "Prévalence observée de CHD : 34.6%\n",
            "\n",
            "==============================================================================\n",
            "1. STATISTIQUES DESCRIPTIVES\n",
            "==============================================================================\n",
            "             count unique     top freq       mean        std    min     25%  \\\n",
            "sbp          462.0    NaN     NaN  NaN  138.32684  20.496317  101.0   124.0   \n",
            "tobacco      462.0    NaN     NaN  NaN   3.635649   4.593024    0.0  0.0525   \n",
            "ldl          462.0    NaN     NaN  NaN   4.740325   2.070909   0.98  3.2825   \n",
            "adiposity    462.0    NaN     NaN  NaN  25.406732   7.780699   6.74  19.775   \n",
            "famhist        462      2  Absent  270        NaN        NaN    NaN     NaN   \n",
            "typea        462.0    NaN     NaN  NaN  53.103896   9.817534   13.0    47.0   \n",
            "obesity      462.0    NaN     NaN  NaN  26.044113    4.21368   14.7  22.985   \n",
            "alcohol      462.0    NaN     NaN  NaN  17.044394  24.481059    0.0    0.51   \n",
            "age          462.0    NaN     NaN  NaN  42.816017  14.608956   15.0    31.0   \n",
            "chd          462.0    NaN     NaN  NaN    0.34632   0.476313    0.0     0.0   \n",
            "famhist_bin  462.0    NaN     NaN  NaN   0.415584   0.493357    0.0     0.0   \n",
            "\n",
            "                50%      75%     max  \n",
            "sbp           134.0    148.0   218.0  \n",
            "tobacco         2.0      5.5    31.2  \n",
            "ldl            4.34     5.79   15.33  \n",
            "adiposity    26.115  31.2275   42.49  \n",
            "famhist         NaN      NaN     NaN  \n",
            "typea          53.0     60.0    78.0  \n",
            "obesity      25.805  28.4975   46.58  \n",
            "alcohol        7.51  23.8925  147.19  \n",
            "age            45.0     55.0    64.0  \n",
            "chd             0.0      1.0     1.0  \n",
            "famhist_bin     0.0      1.0     1.0  \n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "==============================================================================\n",
            "2. PROPORTION DE CHD PAR CLASSES D'ÂGE\n",
            "==============================================================================\n",
            "                age_moyen  proportion_chd    n\n",
            "classe_age                                    \n",
            "(13.999, 25.0]  18.436620        0.042254   71\n",
            "(25.0, 35.0]    30.178082        0.205479   73\n",
            "(35.0, 45.0]    40.989691        0.329897   97\n",
            "(45.0, 55.0]    50.906542        0.457944  107\n",
            "(55.0, 65.0]    60.052632        0.535088  114\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "==============================================================================\n",
            "3-4. RÉGRESSION LOGISTIQUE : CHD ~ AGE\n",
            "==============================================================================\n",
            "                 Generalized Linear Model Regression Results                  \n",
            "==============================================================================\n",
            "Dep. Variable:                    chd   No. Observations:                  462\n",
            "Model:                            GLM   Df Residuals:                      460\n",
            "Model Family:                Binomial   Df Model:                            1\n",
            "Link Function:                  Logit   Scale:                          1.0000\n",
            "Method:                          IRLS   Log-Likelihood:                -262.78\n",
            "Date:                Tue, 11 Aug 2026   Deviance:                       525.56\n",
            "Time:                        14:00:32   Pearson chi2:                     445.\n",
            "No. Iterations:                     4   Pseudo R-squ. (CS):             0.1416\n",
            "Covariance Type:            nonrobust                                         \n",
            "==============================================================================\n",
            "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "Intercept     -3.5217      0.416     -8.465      0.000      -4.337      -2.706\n",
            "age            0.0641      0.009      7.513      0.000       0.047       0.081\n",
            "==============================================================================\n",
            "\n",
            "Coefficients, tests de Wald et odds-ratios :\n",
            "             coef  std_err       z  p_value  IC95_inf  IC95_sup  odds_ratio  \\\n",
            "Intercept -3.5217   0.4160 -8.4650      0.0   -4.3371   -2.7063      0.0295   \n",
            "age        0.0641   0.0085  7.5135      0.0    0.0474    0.0808      1.0662   \n",
            "\n",
            "           OR_IC95_inf  OR_IC95_sup  \n",
            "Intercept       0.0131       0.0668  \n",
            "age             1.0485       1.0842  \n",
            "\n",
            "Logit estimé : log(p/(1-p)) = -3.5217 + 0.0641 age\n",
            "OR pour +1 an = exp(beta_age) = 1.0662\n",
            "Variation relative des odds pour +1 an = 6.62%\n",
            "\n",
            "==============================================================================\n",
            "5. MODÈLE COMPLET\n",
            "==============================================================================\n",
            "                 Generalized Linear Model Regression Results                  \n",
            "==============================================================================\n",
            "Dep. Variable:                    chd   No. Observations:                  462\n",
            "Model:                            GLM   Df Residuals:                      452\n",
            "Model Family:                Binomial   Df Model:                            9\n",
            "Link Function:                  Logit   Scale:                          1.0000\n",
            "Method:                          IRLS   Log-Likelihood:                -236.07\n",
            "Date:                Tue, 11 Aug 2026   Deviance:                       472.14\n",
            "Time:                        14:00:32   Pearson chi2:                     452.\n",
            "No. Iterations:                     5   Pseudo R-squ. (CS):             0.2353\n",
            "Covariance Type:            nonrobust                                         \n",
            "=========================================================================================\n",
            "                            coef    std err          z      P>|z|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------------\n",
            "Intercept                -6.1507      1.308     -4.701      0.000      -8.715      -3.587\n",
            "C(famhist)[T.Present]     0.9254      0.228      4.061      0.000       0.479       1.372\n",
            "sbp                       0.0065      0.006      1.135      0.256      -0.005       0.018\n",
            "tobacco                   0.0794      0.027      2.984      0.003       0.027       0.132\n",
            "ldl                       0.1739      0.060      2.915      0.004       0.057       0.291\n",
            "adiposity                 0.0186      0.029      0.635      0.526      -0.039       0.076\n",
            "typea                     0.0396      0.012      3.214      0.001       0.015       0.064\n",
            "obesity                  -0.0629      0.044     -1.422      0.155      -0.150       0.024\n",
            "alcohol                   0.0001      0.004      0.027      0.978      -0.009       0.009\n",
            "age                       0.0452      0.012      3.728      0.000       0.021       0.069\n",
            "=========================================================================================\n",
            "\n",
            "Table des coefficients et odds-ratios :\n",
            "                         coef  std_err       z  p_value  IC95_inf  IC95_sup  \\\n",
            "Intercept             -6.1507   1.3083 -4.7015   0.0000   -8.7149   -3.5866   \n",
            "C(famhist)[T.Present]  0.9254   0.2279  4.0605   0.0000    0.4787    1.3720   \n",
            "sbp                    0.0065   0.0057  1.1350   0.2564   -0.0047    0.0177   \n",
            "tobacco                0.0794   0.0266  2.9838   0.0028    0.0272    0.1315   \n",
            "ldl                    0.1739   0.0597  2.9152   0.0036    0.0570    0.2909   \n",
            "adiposity              0.0186   0.0293  0.6346   0.5257   -0.0388    0.0760   \n",
            "typea                  0.0396   0.0123  3.2138   0.0013    0.0154    0.0637   \n",
            "obesity               -0.0629   0.0442 -1.4218   0.1551   -0.1496    0.0238   \n",
            "alcohol                0.0001   0.0045  0.0271   0.9784   -0.0087    0.0089   \n",
            "age                    0.0452   0.0121  3.7285   0.0002    0.0215    0.0690   \n",
            "\n",
            "                       odds_ratio  OR_IC95_inf  OR_IC95_sup  \n",
            "Intercept                  0.0021       0.0002       0.0277  \n",
            "C(famhist)[T.Present]      2.5228       1.6140       3.9434  \n",
            "sbp                        1.0065       0.9953       1.0179  \n",
            "tobacco                    1.0826       1.0276       1.1406  \n",
            "ldl                        1.1900       1.0586       1.3376  \n",
            "adiposity                  1.0188       0.9619       1.0790  \n",
            "typea                      1.0404       1.0156       1.0658  \n",
            "obesity                    0.9390       0.8610       1.0241  \n",
            "alcohol                    1.0001       0.9914       1.0089  \n",
            "age                        1.0463       1.0217       1.0714  \n",
            "\n",
            "AIC = 492.140\n",
            "BIC (défini à partir de la log-vraisemblance) = 533.496\n",
            "Déviance résiduelle = 472.140\n",
            "Déviance nulle = 596.108\n",
            "sbp       : coef= 0.0065, p=0.2564\n",
            "obesity   : coef=-0.0629, p=0.1551\n",
            "\n",
            "==============================================================================\n",
            "6a. RFE (sélection prédictive, pas un test de significativité)\n",
            "==============================================================================\n",
            "   variable  selectionnee  rang_RFE\n",
            "    tobacco          True         1\n",
            "        ldl          True         1\n",
            "      typea          True         1\n",
            "famhist_bin          True         1\n",
            "        age          True         1\n",
            "    obesity         False         2\n",
            "  adiposity         False         3\n",
            "        sbp         False         4\n",
            "    alcohol         False         5\n",
            "\n",
            "==============================================================================\n",
            "6b. ÉLIMINATION BACKWARD PAR AIC\n",
            "==============================================================================\n",
            "Départ : AIC = 492.140 ; ['sbp', 'tobacco', 'ldl', 'adiposity', 'C(famhist)', 'typea', 'obesity', 'alcohol', 'age']\n",
            "Retrait de alcohol      -> AIC = 490.141\n",
            "Retrait de adiposity    -> AIC = 488.549\n",
            "Retrait de sbp          -> AIC = 487.980\n",
            "Retrait de obesity      -> AIC = 487.686\n",
            "\n",
            "Modèle final AIC : chd ~ tobacco + ldl + C(famhist) + typea + age\n",
            "                 Generalized Linear Model Regression Results                  \n",
            "==============================================================================\n",
            "Dep. Variable:                    chd   No. Observations:                  462\n",
            "Model:                            GLM   Df Residuals:                      456\n",
            "Model Family:                Binomial   Df Model:                            5\n",
            "Link Function:                  Logit   Scale:                          1.0000\n",
            "Method:                          IRLS   Log-Likelihood:                -237.84\n",
            "Date:                Tue, 11 Aug 2026   Deviance:                       475.69\n",
            "Time:                        14:00:34   Pearson chi2:                     458.\n",
            "No. Iterations:                     5   Pseudo R-squ. (CS):             0.2295\n",
            "Covariance Type:            nonrobust                                         \n",
            "=========================================================================================\n",
            "                            coef    std err          z      P>|z|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------------\n",
            "Intercept                -6.4464      0.921     -7.000      0.000      -8.251      -4.642\n",
            "C(famhist)[T.Present]     0.9082      0.226      4.023      0.000       0.466       1.351\n",
            "tobacco                   0.0804      0.026      3.106      0.002       0.030       0.131\n",
            "ldl                       0.1620      0.055      2.947      0.003       0.054       0.270\n",
            "typea                     0.0371      0.012      3.051      0.002       0.013       0.061\n",
            "age                       0.0505      0.010      4.944      0.000       0.030       0.070\n",
            "=========================================================================================\n",
            "\n",
            "AIC final = 487.686\n",
            "BIC final = 512.499\n",
            "\n",
            "Rang de X = 6, nombre de paramètres = 6\n",
            "Matrice de design de rang plein : True\n",
            "Convergence : True\n",
            "Déviance résiduelle = 475.686\n",
            "ddl résiduels = 456\n",
            "p-valeur chi2 naïve de déviance = 0.2531 (prudence : données Bernoulli individuelles)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "==============================================================================\n",
            "7. TESTS WALD, SCORE ET RAPPORT DE VRAISEMBLANCE\n",
            "==============================================================================\n",
            "Wald : chi2 = 82.512, ddl = 5, p = 2.5e-16\n",
            "Score : chi2 = 105.585, ddl = 5, p = 3.508e-21\n",
            "LR    : chi2 = 120.423, ddl = 5, p = 2.554e-24\n",
            "\n",
            "==============================================================================\n",
            "8. TEST DE HOSMER-LEMESHOW\n",
            "==============================================================================\n",
            "                   n  obs_1   exp_1  obs_0   exp_0\n",
            "group                                             \n",
            "(0.0177, 0.0614]  47      1   1.779     46  45.221\n",
            "(0.0614, 0.115]   46      5   3.972     41  42.028\n",
            "(0.115, 0.171]    46      7   6.670     39  39.330\n",
            "(0.171, 0.231]    46      9   9.116     37  36.884\n",
            "(0.231, 0.309]    46     12  12.492     34  33.508\n",
            "(0.309, 0.397]    46     19  16.165     27  29.835\n",
            "(0.397, 0.479]    46     18  20.516     28  25.484\n",
            "(0.479, 0.573]    46     24  24.466     22  21.534\n",
            "(0.573, 0.688]    46     28  28.596     18  17.404\n",
            "(0.688, 0.927]    47     37  36.227     10  10.773\n",
            "\n",
            "Hosmer-Lemeshow : chi2 = 2.141, ddl = 8, p = 0.9764\n",
            "Une grande p-valeur signifie qu'on ne détecte pas d'écart de calibration ;\n",
            "elle ne prouve pas que le modèle est parfaitement calibré.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipykernel_2249/29489424.py:304: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n",
            "  print(f\"Score : chi2 = {float(score_stat):.3f}, ddl = {int(score_df)}, p = {float(score_p):.4g}\")\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "==============================================================================\n",
            "9. INTERPRÉTATION : ODDS-RATIOS ET PROBABILITÉS\n",
            "==============================================================================\n",
            "                         coef  std_err       z  p_value  IC95_inf  IC95_sup  \\\n",
            "Intercept             -6.4464   0.9209 -7.0004   0.0000   -8.2513   -4.6416   \n",
            "C(famhist)[T.Present]  0.9082   0.2258  4.0228   0.0001    0.4657    1.3507   \n",
            "tobacco                0.0804   0.0259  3.1057   0.0019    0.0297    0.1311   \n",
            "ldl                    0.1620   0.0550  2.9470   0.0032    0.0543    0.2697   \n",
            "typea                  0.0371   0.0122  3.0505   0.0023    0.0133    0.0610   \n",
            "age                    0.0505   0.0102  4.9442   0.0000    0.0305    0.0705   \n",
            "\n",
            "                       odds_ratio  OR_IC95_inf  OR_IC95_sup  \n",
            "Intercept                  0.0016       0.0003       0.0096  \n",
            "C(famhist)[T.Present]      2.4798       1.5931       3.8599  \n",
            "tobacco                    1.0837       1.0301       1.1401  \n",
            "ldl                        1.1759       1.0558       1.3096  \n",
            "typea                      1.0378       1.0134       1.0629  \n",
            "age                        1.0518       1.0309       1.0730  \n",
            "\n",
            "Probabilités prévues par le modèle CHD ~ âge :\n",
            " age  P_CHD  IC95_inf  IC95_sup\n",
            "  30 0.1682    0.1243    0.2236\n",
            "  40 0.2774    0.2321    0.3278\n",
            "  50 0.4216    0.3708    0.4740\n",
            "  60 0.5805    0.5066    0.6509\n",
            "\n",
            "==============================================================================\n",
            "10. APPRENTISSAGE / TEST\n",
            "==============================================================================\n",
            "Modèle sélectionné sur le train : chd ~ tobacco + ldl + C(famhist) + typea + age\n",
            "\n",
            "Matrice de confusion :\n",
            " [[83  8]\n",
            " [26 22]]\n",
            "\n",
            "Rapport de classification :\n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "           0      0.761     0.912     0.830        91\n",
            "           1      0.733     0.458     0.564        48\n",
            "\n",
            "    accuracy                          0.755       139\n",
            "   macro avg      0.747     0.685     0.697       139\n",
            "weighted avg      0.752     0.755     0.738       139\n",
            "\n",
            "Accuracy          = 0.755\n",
            "Balanced accuracy = 0.685\n",
            "Sensibilité       = 0.458\n",
            "Précision         = 0.733\n",
            "F1-score          = 0.564\n",
            "\n",
            "==============================================================================\n",
            "11. COURBE ROC\n",
            "==============================================================================\n",
            "AUC test = 0.793\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
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          "text": [
            "\n",
            "==============================================================================\n",
            "12. CONCLUSION\n",
            "==============================================================================\n",
            "Variables du modèle AIC sur l'ensemble des données : ['tobacco', 'ldl', 'C(famhist)', 'typea', 'age']\n",
            "Variables du modèle AIC sélectionné sur le train : ['tobacco', 'ldl', 'C(famhist)', 'typea', 'age']\n",
            "AUC sur le test = 0.793\n",
            "La conclusion doit distinguer :\n",
            "  - l'inférence (coefficients, IC, tests, odds-ratios),\n",
            "  - la calibration (Hosmer-Lemeshow + graphique),\n",
            "  - la discrimination prédictive (ROC/AUC et métriques sur le test).\n"
          ]
        }
      ]
    }
  ],
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