TP07c_corrige.ipynb

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        "<a href=\"https://colab.research.google.com/github/gguex/ISH_ressources_cours_ML/blob/main/TP07c_corrige.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn import tree\n",
        "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.model_selection import train_test_split, GridSearchCV\n",
        "import graphviz"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "file_path = \\\n",
        "  \"/content/drive/MyDrive/Colab Notebooks/ml_data/TP7/contraceptive.tsv\"\n",
        "data = pd.read_csv(file_path, sep=\"\\t\")\n",
        "data"
      ],
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          "height": 424
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              "      Wife_age  Wife_education  Husband_education  Children  Wife_religion  \\\n",
              "0           24               2                  3         3              1   \n",
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              "1472        17               3                  3         1              1   \n",
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              "      Wife_working  Husband_occupation  Standard-of-living  Media_exposure  \\\n",
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          },
          "metadata": {},
          "execution_count": 8
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "occ_dummies = pd.get_dummies(data[\"Husband_occupation\"], prefix=\"occ\")\n",
        "inputs = pd.concat([data.drop([\"Husband_occupation\", \"target\"], axis=1),\n",
        "                    occ_dummies], axis=1)\n",
        "outputs = data[\"target\"]"
      ],
      "metadata": {
        "id": "NVvWJX0Csyut"
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      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "classif_tree = tree.DecisionTreeClassifier(ccp_alpha=0.005).fit(inputs, outputs)\n",
        "gvz_data = tree.export_graphviz(classif_tree, out_file=None,\n",
        "                                feature_names=inputs.columns,\n",
        "                                filled=True, rounded=True,\n",
        "                                special_characters=True)\n",
        "graph = graphviz.Source(gvz_data)\n",
        "graph"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 657
        },
        "id": "oYYCcEKe64ZR",
        "outputId": "37c38e52-8909-48e1-9792-4ef79bc7da85"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/svg+xml": "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Generated by graphviz version 2.43.0 (0)\n -->\n<!-- Title: Tree Pages: 1 -->\n<svg width=\"778pt\" height=\"477pt\"\n viewBox=\"0.00 0.00 778.00 477.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 473)\">\n<title>Tree</title>\n<polygon fill=\"white\" stroke=\"transparent\" points=\"-4,4 -4,-473 774,-473 774,4 -4,4\"/>\n<!-- 0 -->\n<g id=\"node1\" class=\"node\">\n<title>0</title>\n<path fill=\"#fcf0e7\" stroke=\"black\" d=\"M384.5,-469C384.5,-469 253.5,-469 253.5,-469 247.5,-469 241.5,-463 241.5,-457 241.5,-457 241.5,-413 241.5,-413 241.5,-407 247.5,-401 253.5,-401 253.5,-401 384.5,-401 384.5,-401 390.5,-401 396.5,-407 396.5,-413 396.5,-413 396.5,-457 396.5,-457 396.5,-463 390.5,-469 384.5,-469\"/>\n<text text-anchor=\"start\" x=\"276.5\" y=\"-453.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">Children ≤ 0.5</text>\n<text text-anchor=\"start\" x=\"283.5\" y=\"-438.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.646</text>\n<text text-anchor=\"start\" x=\"270.5\" y=\"-423.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1473</text>\n<text text-anchor=\"start\" x=\"249.5\" y=\"-408.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [629, 333, 511]</text>\n</g>\n<!-- 1 -->\n<g id=\"node2\" class=\"node\">\n<title>1</title>\n<path fill=\"#e6843d\" stroke=\"black\" d=\"M288.5,-357.5C288.5,-357.5 195.5,-357.5 195.5,-357.5 189.5,-357.5 183.5,-351.5 183.5,-345.5 183.5,-345.5 183.5,-316.5 183.5,-316.5 183.5,-310.5 189.5,-304.5 195.5,-304.5 195.5,-304.5 288.5,-304.5 288.5,-304.5 294.5,-304.5 300.5,-310.5 300.5,-316.5 300.5,-316.5 300.5,-345.5 300.5,-345.5 300.5,-351.5 294.5,-357.5 288.5,-357.5\"/>\n<text text-anchor=\"start\" x=\"210\" y=\"-342.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.04</text>\n<text text-anchor=\"start\" x=\"201\" y=\"-327.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 97</text>\n<text text-anchor=\"start\" x=\"191.5\" y=\"-312.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [95, 0, 2]</text>\n</g>\n<!-- 0&#45;&gt;1 -->\n<g id=\"edge1\" class=\"edge\">\n<title>0&#45;&gt;1</title>\n<path fill=\"none\" stroke=\"black\" d=\"M294,-400.88C285.45,-389.56 275.88,-376.88 267.3,-365.52\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"270.08,-363.39 261.27,-357.52 264.5,-367.61 270.08,-363.39\"/>\n<text text-anchor=\"middle\" x=\"257.81\" y=\"-378.58\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">True</text>\n</g>\n<!-- 2 -->\n<g id=\"node3\" class=\"node\">\n<title>2</title>\n<path fill=\"#fefbf9\" stroke=\"black\" d=\"M461.5,-365C461.5,-365 330.5,-365 330.5,-365 324.5,-365 318.5,-359 318.5,-353 318.5,-353 318.5,-309 318.5,-309 318.5,-303 324.5,-297 330.5,-297 330.5,-297 461.5,-297 461.5,-297 467.5,-297 473.5,-303 473.5,-309 473.5,-309 473.5,-353 473.5,-353 473.5,-359 467.5,-365 461.5,-365\"/>\n<text text-anchor=\"start\" x=\"346\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">Wife_age ≤ 37.5</text>\n<text text-anchor=\"start\" x=\"360.5\" y=\"-334.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.654</text>\n<text text-anchor=\"start\" x=\"347.5\" y=\"-319.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1376</text>\n<text text-anchor=\"start\" x=\"326.5\" y=\"-304.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [534, 333, 509]</text>\n</g>\n<!-- 0&#45;&gt;2 -->\n<g id=\"edge2\" class=\"edge\">\n<title>0&#45;&gt;2</title>\n<path fill=\"none\" stroke=\"black\" d=\"M344,-400.88C350.59,-392.15 357.78,-382.62 364.66,-373.51\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"367.63,-375.39 370.86,-365.3 362.04,-371.17 367.63,-375.39\"/>\n<text text-anchor=\"middle\" x=\"374.32\" y=\"-386.36\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">False</text>\n</g>\n<!-- 3 -->\n<g id=\"node4\" class=\"node\">\n<title>3</title>\n<path fill=\"#e8dbfa\" stroke=\"black\" d=\"M377.5,-261C377.5,-261 246.5,-261 246.5,-261 240.5,-261 234.5,-255 234.5,-249 234.5,-249 234.5,-205 234.5,-205 234.5,-199 240.5,-193 246.5,-193 246.5,-193 377.5,-193 377.5,-193 383.5,-193 389.5,-199 389.5,-205 389.5,-205 389.5,-249 389.5,-249 389.5,-255 383.5,-261 377.5,-261\"/>\n<text text-anchor=\"start\" x=\"248\" y=\"-245.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">Wife_education ≤ 3.5</text>\n<text text-anchor=\"start\" x=\"276.5\" y=\"-230.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.641</text>\n<text text-anchor=\"start\" x=\"267\" y=\"-215.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 968</text>\n<text text-anchor=\"start\" x=\"242.5\" y=\"-200.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [317, 217, 434]</text>\n</g>\n<!-- 2&#45;&gt;3 -->\n<g id=\"edge3\" class=\"edge\">\n<title>2&#45;&gt;3</title>\n<path fill=\"none\" stroke=\"black\" d=\"M368.73,-296.88C361.47,-288.07 353.53,-278.43 345.96,-269.24\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"348.48,-266.79 339.42,-261.3 343.08,-271.24 348.48,-266.79\"/>\n</g>\n<!-- 8 -->\n<g id=\"node9\" class=\"node\">\n<title>8</title>\n<path fill=\"#f6d3bb\" stroke=\"black\" d=\"M542.5,-261C542.5,-261 419.5,-261 419.5,-261 413.5,-261 407.5,-255 407.5,-249 407.5,-249 407.5,-205 407.5,-205 407.5,-199 413.5,-193 419.5,-193 419.5,-193 542.5,-193 542.5,-193 548.5,-193 554.5,-199 554.5,-205 554.5,-205 554.5,-249 554.5,-249 554.5,-255 548.5,-261 542.5,-261\"/>\n<text text-anchor=\"start\" x=\"417\" y=\"-245.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">Wife_education ≤ 3.5</text>\n<text text-anchor=\"start\" x=\"445.5\" y=\"-230.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.602</text>\n<text text-anchor=\"start\" x=\"436\" y=\"-215.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 408</text>\n<text text-anchor=\"start\" x=\"415.5\" y=\"-200.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [217, 116, 75]</text>\n</g>\n<!-- 2&#45;&gt;8 -->\n<g id=\"edge8\" class=\"edge\">\n<title>2&#45;&gt;8</title>\n<path fill=\"none\" stroke=\"black\" d=\"M423.6,-296.88C430.95,-288.07 438.97,-278.43 446.64,-269.24\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"449.54,-271.22 453.25,-261.3 444.16,-266.74 449.54,-271.22\"/>\n</g>\n<!-- 4 -->\n<g id=\"node5\" class=\"node\">\n<title>4</title>\n<path fill=\"#ede2fb\" stroke=\"black\" d=\"M210.5,-157C210.5,-157 87.5,-157 87.5,-157 81.5,-157 75.5,-151 75.5,-145 75.5,-145 75.5,-101 75.5,-101 75.5,-95 81.5,-89 87.5,-89 87.5,-89 210.5,-89 210.5,-89 216.5,-89 222.5,-95 222.5,-101 222.5,-101 222.5,-145 222.5,-145 222.5,-151 216.5,-157 210.5,-157\"/>\n<text text-anchor=\"start\" x=\"106.5\" y=\"-141.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">Children ≤ 2.5</text>\n<text text-anchor=\"start\" x=\"113.5\" y=\"-126.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.613</text>\n<text text-anchor=\"start\" x=\"104\" y=\"-111.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 599</text>\n<text text-anchor=\"start\" x=\"83.5\" y=\"-96.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [227, 91, 281]</text>\n</g>\n<!-- 3&#45;&gt;4 -->\n<g id=\"edge4\" class=\"edge\">\n<title>3&#45;&gt;4</title>\n<path fill=\"none\" stroke=\"black\" d=\"M259.08,-192.88C243.63,-183.21 226.61,-172.56 210.66,-162.59\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"212.27,-159.46 201.93,-157.12 208.56,-165.4 212.27,-159.46\"/>\n</g>\n<!-- 7 -->\n<g id=\"node8\" class=\"node\">\n<title>7</title>\n<path fill=\"#f1e9fc\" stroke=\"black\" d=\"M375.5,-149.5C375.5,-149.5 252.5,-149.5 252.5,-149.5 246.5,-149.5 240.5,-143.5 240.5,-137.5 240.5,-137.5 240.5,-108.5 240.5,-108.5 240.5,-102.5 246.5,-96.5 252.5,-96.5 252.5,-96.5 375.5,-96.5 375.5,-96.5 381.5,-96.5 387.5,-102.5 387.5,-108.5 387.5,-108.5 387.5,-137.5 387.5,-137.5 387.5,-143.5 381.5,-149.5 375.5,-149.5\"/>\n<text text-anchor=\"start\" x=\"278.5\" y=\"-134.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.652</text>\n<text text-anchor=\"start\" x=\"269\" y=\"-119.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 369</text>\n<text text-anchor=\"start\" x=\"248.5\" y=\"-104.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [90, 126, 153]</text>\n</g>\n<!-- 3&#45;&gt;7 -->\n<g id=\"edge7\" class=\"edge\">\n<title>3&#45;&gt;7</title>\n<path fill=\"none\" stroke=\"black\" d=\"M312.65,-192.88C312.86,-182.22 313.09,-170.35 313.3,-159.52\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"316.8,-159.59 313.5,-149.52 309.8,-159.45 316.8,-159.59\"/>\n</g>\n<!-- 5 -->\n<g id=\"node6\" class=\"node\">\n<title>5</title>\n<path fill=\"#f9e2d1\" stroke=\"black\" d=\"M128,-53C128,-53 12,-53 12,-53 6,-53 0,-47 0,-41 0,-41 0,-12 0,-12 0,-6 6,0 12,0 12,0 128,0 128,0 134,0 140,-6 140,-12 140,-12 140,-41 140,-41 140,-47 134,-53 128,-53\"/>\n<text text-anchor=\"start\" x=\"34.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.596</text>\n<text text-anchor=\"start\" x=\"25\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 260</text>\n<text text-anchor=\"start\" x=\"8\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [132, 35, 93]</text>\n</g>\n<!-- 4&#45;&gt;5 -->\n<g id=\"edge5\" class=\"edge\">\n<title>4&#45;&gt;5</title>\n<path fill=\"none\" stroke=\"black\" d=\"M121.37,-88.95C113.8,-79.89 105.59,-70.07 97.99,-60.99\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"100.61,-58.66 91.52,-53.24 95.24,-63.15 100.61,-58.66\"/>\n</g>\n<!-- 6 -->\n<g id=\"node7\" class=\"node\">\n<title>6</title>\n<path fill=\"#cfb4f5\" stroke=\"black\" d=\"M286,-53C286,-53 170,-53 170,-53 164,-53 158,-47 158,-41 158,-41 158,-12 158,-12 158,-6 164,0 170,0 170,0 286,0 286,0 292,0 298,-6 298,-12 298,-12 298,-41 298,-41 298,-47 292,-53 286,-53\"/>\n<text text-anchor=\"start\" x=\"192.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.587</text>\n<text text-anchor=\"start\" x=\"183\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 339</text>\n<text text-anchor=\"start\" x=\"166\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [95, 56, 188]</text>\n</g>\n<!-- 4&#45;&gt;6 -->\n<g id=\"edge6\" class=\"edge\">\n<title>4&#45;&gt;6</title>\n<path fill=\"none\" stroke=\"black\" d=\"M176.63,-88.95C184.2,-79.89 192.41,-70.07 200.01,-60.99\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"202.76,-63.15 206.48,-53.24 197.39,-58.66 202.76,-63.15\"/>\n</g>\n<!-- 9 -->\n<g id=\"node10\" class=\"node\">\n<title>9</title>\n<path fill=\"#eeac7c\" stroke=\"black\" d=\"M537,-149.5C537,-149.5 421,-149.5 421,-149.5 415,-149.5 409,-143.5 409,-137.5 409,-137.5 409,-108.5 409,-108.5 409,-102.5 415,-96.5 421,-96.5 421,-96.5 537,-96.5 537,-96.5 543,-96.5 549,-102.5 549,-108.5 549,-108.5 549,-137.5 549,-137.5 549,-143.5 543,-149.5 537,-149.5\"/>\n<text text-anchor=\"start\" x=\"443.5\" y=\"-134.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.452</text>\n<text text-anchor=\"start\" x=\"434\" y=\"-119.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 236</text>\n<text text-anchor=\"start\" x=\"417\" y=\"-104.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [168, 35, 33]</text>\n</g>\n<!-- 8&#45;&gt;9 -->\n<g id=\"edge9\" class=\"edge\">\n<title>8&#45;&gt;9</title>\n<path fill=\"none\" stroke=\"black\" d=\"M480.35,-192.88C480.14,-182.22 479.91,-170.35 479.7,-159.52\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"483.2,-159.45 479.5,-149.52 476.2,-159.59 483.2,-159.45\"/>\n</g>\n<!-- 10 -->\n<g id=\"node11\" class=\"node\">\n<title>10</title>\n<path fill=\"#cbf8de\" stroke=\"black\" d=\"M687,-157C687,-157 579,-157 579,-157 573,-157 567,-151 567,-145 567,-145 567,-101 567,-101 567,-95 573,-89 579,-89 579,-89 687,-89 687,-89 693,-89 699,-95 699,-101 699,-101 699,-145 699,-145 699,-151 693,-157 687,-157\"/>\n<text text-anchor=\"start\" x=\"590.5\" y=\"-141.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">Children ≤ 1.5</text>\n<text text-anchor=\"start\" x=\"597.5\" y=\"-126.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.637</text>\n<text text-anchor=\"start\" x=\"588\" y=\"-111.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 172</text>\n<text text-anchor=\"start\" x=\"575\" y=\"-96.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [49, 81, 42]</text>\n</g>\n<!-- 8&#45;&gt;10 -->\n<g id=\"edge10\" class=\"edge\">\n<title>8&#45;&gt;10</title>\n<path fill=\"none\" stroke=\"black\" d=\"M530.35,-192.88C544.63,-183.3 560.34,-172.76 575.08,-162.86\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"577.28,-165.6 583.64,-157.12 573.38,-159.79 577.28,-165.6\"/>\n</g>\n<!-- 11 -->\n<g id=\"node12\" class=\"node\">\n<title>11</title>\n<path fill=\"#e89050\" stroke=\"black\" d=\"M607.5,-53C607.5,-53 514.5,-53 514.5,-53 508.5,-53 502.5,-47 502.5,-41 502.5,-41 502.5,-12 502.5,-12 502.5,-6 508.5,0 514.5,0 514.5,0 607.5,0 607.5,0 613.5,0 619.5,-6 619.5,-12 619.5,-12 619.5,-41 619.5,-41 619.5,-47 613.5,-53 607.5,-53\"/>\n<text text-anchor=\"start\" x=\"525.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.188</text>\n<text text-anchor=\"start\" x=\"520\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 19</text>\n<text text-anchor=\"start\" x=\"510.5\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [17, 0, 2]</text>\n</g>\n<!-- 10&#45;&gt;11 -->\n<g id=\"edge11\" class=\"edge\">\n<title>10&#45;&gt;11</title>\n<path fill=\"none\" stroke=\"black\" d=\"M607.82,-88.95C600.99,-79.98 593.58,-70.27 586.72,-61.26\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"589.45,-59.07 580.61,-53.24 583.89,-63.31 589.45,-59.07\"/>\n</g>\n<!-- 12 -->\n<g id=\"node13\" class=\"node\">\n<title>12</title>\n<path fill=\"#b7f6d1\" stroke=\"black\" d=\"M758,-53C758,-53 650,-53 650,-53 644,-53 638,-47 638,-41 638,-41 638,-12 638,-12 638,-6 644,0 650,0 650,0 758,0 758,0 764,0 770,-6 770,-12 770,-12 770,-41 770,-41 770,-47 764,-53 758,-53\"/>\n<text text-anchor=\"start\" x=\"668.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.608</text>\n<text text-anchor=\"start\" x=\"659\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 153</text>\n<text text-anchor=\"start\" x=\"646\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [32, 81, 40]</text>\n</g>\n<!-- 10&#45;&gt;12 -->\n<g id=\"edge12\" class=\"edge\">\n<title>10&#45;&gt;12</title>\n<path fill=\"none\" stroke=\"black\" d=\"M657.83,-88.95C664.57,-79.98 671.87,-70.27 678.63,-61.26\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"681.45,-63.33 684.66,-53.24 675.86,-59.13 681.45,-63.33\"/>\n</g>\n</g>\n</svg>\n",
            "text/plain": [
              "<graphviz.sources.Source at 0x7eb644a1a2f0>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "inputs_tv, inputs_test, outputs_tv, outputs_test = train_test_split(inputs,\n",
        "                                                                    outputs)"
      ],
      "metadata": {
        "id": "kZcjGPrhtElH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "logreg_param = {\"C\": np.linspace(0.001, 2, 20)}\n",
        "logreg_grid = GridSearchCV(LogisticRegression(max_iter=1000), logreg_param).fit(\n",
        "    inputs_tv, outputs_tv)"
      ],
      "metadata": {
        "id": "NoujK3cD1RIJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(f\"Logreg best param: {logreg_grid.best_params_}\")\n",
        "print(f\"Score: {logreg_grid.best_estimator_.score(inputs_test, outputs_test)}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Zg9XS8Q33ews",
        "outputId": "ecc756db-b7dc-48e2-8a60-a266c7f0e37f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Logreg best param: {'C': 0.10621052631578948}\n",
            "Score: 0.4823848238482385\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "forest_hyperp = {\"max_depth\": range(1, 11)}\n",
        "forest_grid = GridSearchCV(RandomForestClassifier(), forest_hyperp).fit(\n",
        "    inputs_tv, outputs_tv)"
      ],
      "metadata": {
        "id": "vZhiY5eV4E5_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(f\"Forest best param: {forest_grid.best_params_}\")\n",
        "print(f\"Score: {forest_grid.best_estimator_.score(inputs_test, outputs_test)}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QYPhx64w4Zd4",
        "outputId": "3452394a-a8a5-44e1-a662-fcfc07c80f33"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Forest best param: {'max_depth': 9}\n",
            "Score: 0.5745257452574526\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "grad_hyperp = {\"max_depth\": range(1, 11)}\n",
        "grad_grid = GridSearchCV(GradientBoostingClassifier(), grad_hyperp).fit(\n",
        "    inputs_tv, outputs_tv)"
      ],
      "metadata": {
        "id": "drs6Augs4kRB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(f\"GB best param: {grad_grid.best_params_}\")\n",
        "print(f\"Score: {grad_grid.best_estimator_.score(inputs_test, outputs_test)}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LAHBF1ia43oU",
        "outputId": "b77031d8-c881-4cec-ac3c-6c34cc1222f2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "GB best param: {'max_depth': 2}\n",
            "Score: 0.5772357723577236\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "grad_grid.best_estimator_.feature_importances_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Va-wVFoM6mqw",
        "outputId": "22e6a1cc-67bc-4b15-cbd1-4d1cbcf33c96"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0.31193486, 0.1412974 , 0.03908564, 0.3757166 , 0.01428982,\n",
              "       0.00699875, 0.02562592, 0.02850556, 0.0336479 , 0.01214036,\n",
              "       0.00404404, 0.00671316])"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.rcParams['figure.figsize'] = [24, 16]\n",
        "fig, axs = plt.subplots(2, 1)\n",
        "# Forest classification\n",
        "axs[0].bar(inputs.columns, forest_grid.best_estimator_.feature_importances_)\n",
        "axs[0].set_title(\"Random Forest\")\n",
        "# Gradient boosting\n",
        "axs[1].bar(inputs.columns, grad_grid.best_estimator_.feature_importances_)\n",
        "axs[1].set_title(\"Gradient Boosting\")\n",
        "plt.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "4FexGHRa5Bzd",
        "outputId": "6a051f2c-2cf0-4f1a-9472-2d19e342917b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[]"
            ]
          },
          "metadata": {},
          "execution_count": 19
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2400x1600 with 2 Axes>"
            ],
            "image/png": 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PPvhgfvnLX+bjjz9ObW1tOnbsmEcffTS/+93v0qFDhwwaNKjBWVuf5feF5rQ2HteS5OKLL06/fv3y5JNP5uyzz17tPufOnZsDDjgg2223XaZMmZJzzz03p5122grXmTx5cr7xjW/k0EMPzdNPP53Ro0fn7LPPXmpcXXLJJeWw6Pjjj89xxx23VMBXNGvbuNl9993z3HPP5Z133kmSPPLII+nSpUs5hPn4448zceLE8j9su/fee3PiiSfmBz/4QZ555pl85zvfSV1dXYN9Sv4eqh100EF5+umny0HbErNnz87ee++dxYsX58EHH1zh2ZpnnnlmLrnkkjzxxBNp1apVg75uvfXWnH/++bnwwgszefLkbLrpprnqqqtWus/NpUOHDunQoUPuu+++LFiwYKnlyzvuzps3L/vtt1/q6+vz5JNPZtCgQTnggAPy+uuvN1h/RX9P8+bNy7//+7+nb9++mTx5ckaPHp2TTz65wfqLFy/O5z//+dx111157rnnMnLkyJxxxhm58847G7T75LFmVfpelpV9dj355JNzww03JEn5M3BjHXLIIZk1a1aD8bnk2H344Ycvd72VHRePOOKIvPXWW5kwYULuvvvuXHPNNY3+nLYmHXXUUeXnKvn7j4l1dXUN2owZMyY333xzxo0bl2effTb/+Z//mW9961t55JFHkjTt8+2qjs3lWdF3sSVB6k033ZSf/exnWbRoUb71rW9l7733bvA+8MEHH+T888/PzTffnN/97neZPXt2Dj300PLylb1n3X333bnsssty9dVX58UXX8x9992X7bbbbpXq/2enn356TjzxxDz//POpra3NrbfempEjR+b888/P888/nx/+8Ic5++yzc9NNNzW673XJqaeemrvvvjs33XRTpkyZkl69eqW2tjbvvffeSr/bXHXVVfne976XY489Nk8//XR+/vOfp1evXs28R/yrrC1jZ86cOenUqVPhr2hSJGvD2Jk/f35uuOGG9OzZM927d1/Tu8inqLnGzwcffJBvfvObueKKK1JdXf1p7iKfdSVYC1x77bWl9u3blz7++OPS3LlzS61atSq9/fbbpdtuu6202267lUqlUqm+vr6UpPTaa6+VHn744VKS0l//+tdSqVQq/fWvfy0lKT388MPlPo8++ujSscce22A7jz76aKlFixalDz/8sNE1/vGPfywlKb3//vulUqlUOu2000rbbrttgzZnnnlmg7rWdA2fdWvb6/zaa6+VWrZsWZo2bVqD+XvttVdpxIgRpVKpVDrssMNK++23X4PlQ4YMKXXu3Ln8+MgjjywNHjy4QZsTTzyxtPvuu5dKpVJp7ty5pcrKytK11167wnr+2Y9+9KPSjjvuWH48atSoUr9+/ZZql6R07733lkqlUumaa64prb/++qV58+aVl//qV78qtWjRojRjxoxyrZtttlnpb3/7W7nNIYccUhoyZMgq19ZURx55ZKlly5al9u3bN5jatGlTfp2XtZ+XXXZZabPNNiuVSqXSrFmzSklKEyZMWOY2Ro0aVWrZsmXpzTffLM/79a9/XWrRokVp+vTpy1xn0aJFpY4dO5Z+8YtflOclKZ111lnlx/PmzSslKf36178ulUql0ogRI0p9+/Zt0M9pp53WYLyuyMrG7QsvvFBKUpo0aVJ5+fPPP19KUrrssstKpVKp9Morr5SSlJ588slym0/+jYwYMaLUs2fP0sKFC1daU6m0/OdiyRhb4pOvU7du3Urnn39+gzZf/OIXS8cff3yDWq+77rry8meffbaUpPT888+vUm1rq8cff7yUpHTP/9/enUc1daZ/AP9SCSGyRFAUUIhDgQhU3BfkqLggWo+DjtVpTUccLWpVtB7FpbViR62OS21VxNpRRAvVsciUHrdKFQ4FFbUsOkSIiDoVqUttFXfh+f3hyf1xk0Aigonx+ZzDOeRuee97n/u+770393337q13OWMxpVveJSYmisqZkJAQIT+1evXqJToOUVFR1KZNG3r48KEwbefOnaRUKqmmpkaY9vDhQ5LJZHTo0CFhPXOVCy87S6vXiIgUCgWNHDlSNM2UbSoUCqF8IRKf+wkJCdSyZUvR93/11VeiMkh338aNG0fh4eGi74yNjRWVnQqFgt59913hc01NDbVu3ZoSEhKM7ufLzNLipqamhlq2bEl79uwhIqLOnTvTihUryN3dnYiIfvrpJ5JIJHT37l0iIurTpw9FR0eLtjFmzBhRewkAffDBB6JltPuhVqspODiYRo8eLSqvdOs17fIZGRnCMvv27SMAwj716tWLpk+fLvqe0NBQg20mS/Htt9+Si4sL2dvbU58+fWjhwoVUWFgozDdU7xoSFBREGzZsED4bO5++/PJLvfM4ISFBry2ha/r06TR69Gjhs6G6pqHbNqXtmpaWRsZuW+i2S3Tb5pGRkTRx4kRRej09Pam6urrO9eurF7VtspMnTwrzNRqNqJ32omj39dq1aySVSunixYt08eJFsre3p+vXr1NkZCRFRUXRgwcPqHnz5pSbmytaf9KkSfTOO+8QkWntW932iSG6sVkXU67FiIhWrVpFrVq1ohkzZpCHhwfduHFDmJeYmEgA6Pjx48I07fE5ceIEERkvs9auXUv+/v51tpcNnZNyuZwSExOJ6P/Lrs8//1y0zOuvv04pKSmiaUuXLqWQkJC6suSVV1VVRRKJhJKTk4Vpjx49Ik9PT1q1apXRaxtPT0/66KOPnisNunUuezlYQuwQEV2/fp28vb3pww8/fO5tsRfD3LETHx9PDg4OBICUSiWdP3++wdtiL54542fy5Mk0adIk4bOp1xDs1cNvADOLEBYWhrt37+LkyZPIzs6Gv78/3Nzc0L9/f2E8tMzMTPj4+Jg8jlFhYSG2b98u/NLe0dERERERqKmpQXl5udH1T58+jREjRsDb2xtOTk7o378/AAi/Zi4pKUGPHj1E6/Ts2bNR02BtLO04nzlzBtXV1fD39xetn5WVJXTHoVar0atXL9F6ISEhz7TfarUaDx8+xKBBg+pcZvfu3QgNDYW7uzscHR2xaNEik385X/t7OnXqJHoLMTQ0FDU1NaK3qYKCgtCsWTPhs4eHxwt7Y2HAgAEoKCgQ/f3rX/8yeX1XV1dMmDABERERGDFiBL744gu9t0G8vb3Rtm1b4XNISIgoD3799VdER0fDz88Pcrkczs7OqKqq0svv4OBg4X8HBwc4OzsL+fS8cWEsbtVqNWxtbdGtWzdhnQ4dOjzTeHbA0+5g+vbtC4lEYnC+qXlRn9u3b6OiogKhoaGi6aGhoVCr1aJptfPUw8MDAMz6tkxjICKTl60vpowxNeY6duwIOzs74XNhYSHOnz8PJycnIdZcXV3x4MEDUbdD5iwXXmaWVq9pde/evVG3WVJSguDgYNjb2wvTdNs8utRqtcFyQaPRiMa1qn1e2NjYwN3d3epjz9LixsbGBv369UNmZiZ+//13FBcXY9q0aXj48CHOnTuHrKws9OjRA82bNwdQ97HVLfN141ArPDwcvr6+2L17t6i8qkt9dUdJSYleLBqLTXMbPXo0KioqkJ6ejqFDhyIzMxNdu3att9eFqqoqzJ07FwEBAWjRogUcHR2hVqvrbbvonk9qtVrvPDZUj8THx6Nbt25wc3ODo6MjtmzZovc9unWNKdsOCgoSYnPYsGHCeqa0XWurHeNTp041nGE6VCoVUlNThbeuk5OT8fbbb+O11+q+HVJfvVhSUgJbW1t07dpVmO/r6wsXFxeT0tMU3NzcMHz4cGzfvh2JiYkYPnw4WrVqJcw/f/487t27h/DwcFEe7tix47mue0yNTUNMuRYDgDlz5sDf3x8bN27Etm3b9MZrtrW1FV2Xa9vM2jLJWJk1ZswY3L9/Hz4+PoiOjkZaWlqDeqipXebdvXsXZWVlmDRpkmjfli1bJto3JlZWVobHjx+LjpdEIkHPnj2hVqvrvba5du0aKioq6r3mZtbLEmLn9u3bGD58OAIDA7FkyZLn2hZ7ccwdOyqVCvn5+cjKyoK/vz/Gjh2rN9QTs1zmip/09HQcOXLELEOPsJcP90fBLIKvry/atWuHo0eP4tatW8LDVk9PT3h5eSE3NxdHjx7FwIEDTd5mVVUVpkyZIhq/R8vYzTRtd2Tarpvc3Nxw+fJlREREiLrMbMo0WCNLO85VVVVo1qwZTp8+LbrBAzy9uWSq1157Te8hUO0xwmQyWb3rHzt2DCqVCp988gkiIiIgl8uxa9cuvbESG4tuw8PGxkZvXLSm4uDgoNedyS+//CL8bywvgafdIs6cORMHDx7E7t27sWjRIhw+fNjk8ZqioqJw8+ZNfPHFF1AoFJBKpQgJCdE7t5syn4zFbWlpqdFtaG9a1s4v3bwyFnum5kVjqZ2n2m67X1TsNRU/Pz/Y2Njg3LlzRpd9EeeebjfUVVVV6Natm94Y0sDTm8UvMm3WyNLqNS1DcWCp7ZFXMfYsMW7CwsKwZcsWZGdno0uXLnB2dhYeCmdlZQlpfBaGusUHgOHDhyM1NRXFxcUmdbNqjXWHvb09wsPDER4ejo8//hjvvfce4uLiRMPN1DZ37lwcPnwYa9asga+vL2QyGd56661Gb7vs2rULc+fOxdq1axESEgInJyesXr0aJ06cEC1X17Gtz/79+4V2irH2SX20Y0QDgLOzs0nrjBgxAkSEffv2oUePHsjOzhaGWqnLy1g2TZw4Ueg+Oz4+XjRPO67yvn37RD+UBACpVNrg7zQ1Ng0x9Vrs2rVrKC0tRbNmzaDRaDB06NAGp9cQLy8vlJSUICMjA4cPH8a0adOwevVqZGVlQSKRwMbGxuj1CSA+L7T5/dVXX+k9VNfdV2a6+sqO5ylXmPVr6ti5c+cOhg4dCicnJ6SlpdX5A2z28mnq2JHL5ZDL5fDz80Pv3r3h4uKCtLQ0vPPOO8+9bWZ+TRU/R44cQVlZmd5LIqNHj0bfvn2FoXwYA3gMYGZBBgwYgMzMTGRmZgpjjAFAv379cODAAeTl5emNg1afrl27ori4GL6+vnp/xt42OHfuHG7evImVK1eib9++6NChg97bKEqlEqdOnRJN0x0f83nSYK0s6Th36dIF1dXVuHbtmt662vETAgIC9G56HT9+XPTZzc1N7y3U2jen/Pz8IJPJ8OOPPxpMR25uLhQKBT766CN0794dfn5+uHTpkmgZOzs70RtThgQEBKCwsBB3794VpuXk5OC1116DUqmsd11L4ebmhsrKStFNltp5qdWlSxcsXLgQubm5eOONN5CSkiLMu3z5MioqKoTPx48fF+VBTk4OZs6ciTfffBNBQUGQSqW4cePGM6UzICAAeXl5omm6cVEfY3HboUMHPHnyBKdPnxbWKSkpwe+//y581j68qx17unkVHByM7OxsgzepANPyQiKR1Bt7zs7O8PT0RE5Ojt62AwMD680Ha+Dq6oqIiAjEx8eLzj2t2sfseZhSFhnStWtXaDQatG7dWi/W5HJ5o6TtVWdJ9VpTbVOpVOLMmTOiMUvrGhNcKyAgwGC54O/vzze/YXlxox0HeM+ePUJ6wsLCkJGRgZycHFEa6zq2ppb5K1euRFRUFAYNGoTi4mKT99EQpVKpF4vGYtMSBQYGCnWIoXo3JycHEyZMwKhRo9CxY0e4u7vj4sWLz/QdAQEBKCoqEr1VoluP5OTkoE+fPpg2bRq6dOkCX19fk95WNGXbCoVCiEntA8iGtF1rx3br1q2N7ziePnD/y1/+guTkZHzzzTdQKpWit3eflVKpxJMnT5Cfny9MO3/+PG7dutXgbTaGoUOH4tGjR3j8+DEiIiJE8wIDAyGVSnH58mW9MkI71mBD2rfPE5umXIsBTx9sd+zYEUlJSZg/f75ebwNPnjwRXZdr28wBAQHCfhkrs2QyGUaMGIH169cjMzMTx44dw5kzZwDoX+tpNBrcu3ev3n1r06YNPD09ceHCBb19+9Of/mRS/ryKXn/9ddjZ2YmO1+PHj3Hy5EkEBgbWe23j5OSE9u3b13nNzaybOWPn9u3bGDJkCOzs7JCeni7qDYNZPksqd4gIRCS65mKWzVzxs2DBAhQVFYl6VwSAdevWITExscH7w6wTPwBmFmPAgAH46aefUFBQIHrLoH///vjyyy/x6NGjZ7oRNn/+fOTm5mLGjBkoKCiARqPBd999J/wquj7e3t6ws7PDhg0bcOHCBaSnp2Pp0qWiZaZMmYJz585h/vz5KC0txb///W+h6zbt2wnPkwZrZUnH2d/fHyqVCuPHj8fevXtRXl6OvLw8rFixAvv27QMA4U3TNWvWQKPRYOPGjTh48KBoOwMHDsSpU6ewY8cOaDQaxMXF4ezZs8J8e3t7zJ8/H/PmzRO6WTt+/Di2bt0K4OkD4suXL2PXrl0oKyvD+vXrkZaWJvqO9u3bo7y8HAUFBbhx44bBBqFKpYK9vT2ioqJw9uxZHD16FDExMfjb3/6GNm3amJyn5hQWFobr169j1apVKCsrQ3x8PA4cOCDMLy8vx8KFC3Hs2DFcunQJP/zwAzQajXCDB4CQB4WFhcjOzsbMmTMxduxY4UaSn58fdu7cCbVajRMnTkClUj3zL++mTp0KjUaD2NhYlJSUICUlpd6uG3UZi1ulUomhQ4diypQpOHHiBE6fPo333ntPlE6ZTIbevXtj5cqVUKvVyMrKwqJFi0TfM2PGDNy+fRtvv/02Tp06BY1Gg507dwrdKpqSF9oGaWVlZZ03NmNjY/HPf/4Tu3fvRklJCRYsWICCggLMmjXL5Dx5mcXHx6O6uho9e/ZEamoqNBoN1Go11q9f/8xdxtdl1qxZ2LZtGxITE1FaWoq4uDj897//NbqeSqVCq1atEBkZiezsbJSXlyMzMxMzZ84UvX3PGs6S6rWm2ua4ceNQU1ODyZMnQ61W49ChQ1izZg2A/2/z6JozZw5+/PFHLF26FKWlpUhKSsLGjRsxd+7cBu+HNbG0uAkODoaLiwtSUlJED4D/85//4OHDh6JuzWJjY7F9+3YkJCRAo9Hgs88+w969e5/p2K5ZswYqlQoDBw40qQeFusTExGDr1q1ISkqCRqPBsmXLUFRUVGdcmtvNmzcxcOBAfP311ygqKkJ5eTn27NmDVatWITIyEoDhetfPzw979+5FQUEBCgsLhXPyWYwbNw42NjaIjo5GcXEx9u/fL5zHWn5+fjh16hQOHTqE0tJSfPzxxyY9UDdl24a8yLarSqXCvn37sG3bNqhUqufaVocOHTB48GBMnjwZeXl5yM/Px+TJkyGTycwae82aNYNarUZxcbHeD22cnJwwd+5czJ49G0lJSSgrK8PPP/+MDRs2ICkpCUDD2rfPE5umXIvFx8fj2LFjSEpKgkqlwsiRI6FSqURvGEskEsTExAht5gkTJqB3795Cd/DGyqzt27dj69atOHv2LC5cuICvv/4aMpkMCoUCwNNrvY0bNyI/Px+nTp3C1KlTTXq775NPPsGKFSuwfv16lJaW4syZM0hMTMRnn31mUv68ihwcHPD+++8jNjYWBw8eRHFxMaKjo3Hv3j1MmjTJ6LXNkiVLsHbtWqxfvx4ajUaIcVNUVlaioKAA58+fB/C0i/KCggL89ttvTba/rPGYK3a0D3/v3r2LrVu34vbt26isrERlZaXRH/Azy2Cu2Llw4QJWrFiB06dP4/Lly8jNzcWYMWMgk8nw5ptvNvVus0Zirvhxd3fHG2+8IfoDnj7P4B+aMT1mG32YMR3l5eUEgDp06CCafvHiRQJASqVSmHb06FECQLdu3SIiolu3bhEAOnr0qGjdvLw8Cg8PJ0dHR3JwcKDg4GBavny5SelJSUmh9u3bk1QqpZCQEEpPTycAlJ+fLyzz3Xffka+vL0mlUgoLC6OEhAQCQPfv32+UNFgjSzvOjx49osWLF1P79u1JIpGQh4cHjRo1ioqKioRltm7dSu3atSOZTEYjRoygNWvWkFwuF21n8eLF1KZNG5LL5TR79myaMWMG9e/fX5hfXV1Ny5YtI4VCQRKJhLy9venTTz8V5sfGxlLLli3J0dGR/vrXv9K6detE3/HgwQMaPXo0tWjRggBQYmIiEREBoLS0NGG5oqIiGjBgANnb25OrqytFR0fTnTt3hPlRUVEUGRkpSvusWbNEaW0qhr6bSP84JyQkkJeXFzk4OND48eNp+fLlpFAoiIiosrKSRo4cSR4eHmRnZ0cKhYIWL15M1dXVREQUFxdHnTp1ok2bNpGnpyfZ29vTW2+9Rb/99pvwfT///DN1796d7O3tyc/Pj/bs2UMKhYLWrVsnLKObr0REcrlcyHciou+//144//v27Uvbtm0T7YcxxuL26tWrNHz4cJJKpeTt7U07duzQS2dxcTGFhISQTCajzp070w8//KB3jhQWFtKQIUOoefPm5OTkRH379qWysjKT8yI9PZ18fX3J1tZWOA7afNaqrq6mJUuWUNu2bUkikVCnTp3owIEDwnzteV+7/KzrfH5ZVVRU0PTp00mhUJCdnR21bduW/vznPwv7ZyymdM+DxMREvXJm+fLl1KpVK3J0dKSoqCiaN2+e6DjUdY5dvXqVxo8fT61atSKpVEo+Pj4UHR1Nf/zxR53rvahywRpYWr2mew6buk1j5WBOTg4FBweTnZ0ddevWjVJSUggAnTt3zuC+ERF9++23FBgYKNR7q1evNprWTp06UVxcnEn7+jKztLghIoqMjCRbW1uh3VBdXU0uLi7Uu3dvvWU3bdpEPj4+JJFIyN/fn3bs2CGab6jMMxQjMTEx5OHhQSUlJXp1haHl8/PzCQCVl5cL0/7xj38IZePEiRNp5syZBtNsCR48eEALFiygrl27klwup+bNm5NSqaRFixbRvXv3iMhwvVteXk4DBgwgmUxGXl5etHHjRurfvz/NmjVL2LYp59OxY8eoU6dOZGdnR507d6bU1FRRnj948IAmTJhAcrmcWrRoQe+//z4tWLDApLrG2LbrYqztmpaWRsZuW+i2Swylsbq6mjw8PAiA0A56lvV168WKigoaNmwYSaVSUigUlJKSQq1bt6bNmzfXm9bGVtfx0IqMjKSoqCgiIqqpqaHPP/+clEolSSQScnNzo4iICMrKyhKWN9a+1W2fmBKb9anvWkytVpNMJqOUlBRh+Vu3bpGXlxfNmzdPlJ7U1FTy8fEhqVRKgwcPpkuXLom+p74yKy0tjXr16kXOzs7k4OBAvXv3poyMDGH+lStXaMiQIeTg4EB+fn60f/9+URvOUDtXKzk5mTp37kx2dnbk4uJC/fr1o71795qUN6+q+/fvU0xMjNBuDQ0Npby8PGF+fdc2RESbN28WYtzDw4NiYmJM+t64uDgCoPdX+/qPWTZzxI62rWLor3ZbhVk2c8TOlStXaNiwYdS6dWuSSCTUrl07GjdunHBtxV4e5qq3dBm6/mKMiMiGSGcwE8ZYgy1fvhybN2/G//73P3MnhTHGGGOsySQnJ+Pvf/87/vjjDx53j1mU8PBwuLu7Y+fOneZOCnuF/PLLL/Dy8kJGRgYGDRpk7uS8MrZv344PPvig0YbcYIwxxhhjzJrYmjsBjL3MNm3ahB49eqBly5bIycnB6tWrX+nunRljjDFmnXbs2AEfHx+0bdsWhYWFmD9/PsaOHcsPf5lZ3bt3D5s3b0ZERASaNWuGb775BhkZGTh8+LC5k8as3JEjR1BVVYWOHTvi6tWrmDdvHtq3b49+/fqZO2mMMcYYY4wxBoDHAGavqOzsbDg6Otb5ZyqNRoPIyEgEBgZi6dKlmDNnDpYsWdJ0CWfPpLGOM2PPatiwYXXG3aeffmru5DHGXlLmrNcqKyvx7rvvIiAgALNnz8aYMWOwZcuWJv1O1jisuT1kY2OD/fv3o1+/fujWrRu+//57pKamYvDgweZOGrNyjx8/xocffoigoCCMGjUKbm5uyMzMNGls2FeFNZc97OWSnJxcZxwGBQWZO3nMgnHssIbi2GHPg+OHNSbuApq9ku7fv48rV67UOd/X1/cFpoY1FT7OzFyuXLmC+/fvG5zn6uoKV1fXF5wixpg14HqNNQTHDWPMHLjsYZbizp07+PXXXw3Ok0gkUCgULzhF7GXBscMaimOHPQ+OH9aY+AEwY4wxxhhjjDHGGGOMMcYYY4xZCe4CmjHGGGOMMcYYY4wxxhhjjDHGrAQ/AGaMMcYYY4wxxhhjjDHGGGOMMSvBD4AZY4wxxhhjjDHGGGOMMcYYY8xK8ANgxhhjjDHGGGOMMcYYY4wxxhizEvwAmDHGGGOMMcYYY4wxxhhjjDHGrAQ/AGaMMcYYY4wxxhhjjDHGGGOMMSvBD4AZY4wxxhhjjDHGGGOMMcYYY8xK8ANgxhhjjDHGGGOMMcYYY4wxxhizEv8HfznXpMR5VYkAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}