Challenge1.ipynb

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        "$$\\Large \\textit{C0708 | Reconocimiento de Patrones}$$\n",
        "\n",
        "$$\\large \\textbf{Challenge Nº1 | Visualización y pre-procesamiento de datos}$$\n",
        "\n",
        "\n",
        "_Integrantes:_\n",
        "\n",
        "* _José Cebrián Baca_\n",
        "\n",
        "* _Ana Lucia Manrique De La Torre_\n",
        "\n",
        "* _Willy Valdivia_"
      ],
      "metadata": {
        "id": "kbaIpDFBnlX7"
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      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "Cyd05EcINP-h"
      },
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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Análisis exploratorio de datos"
      ],
      "metadata": {
        "id": "Vr6GWa6_txfL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!gdown https://drive.google.com/uc?id=1KcIESuPAZilpnDAPKStt12g-KC3xpJcy"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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        "outputId": "e54a6d91-26e2-489a-c235-871f075d6148"
      },
      "execution_count": 2,
      "outputs": [
        {
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          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1KcIESuPAZilpnDAPKStt12g-KC3xpJcy\n",
            "To: /content/cancer_challenge_cl2.csv\n",
            "\r  0% 0.00/123k [00:00<?, ?B/s]\r100% 123k/123k [00:00<00:00, 60.8MB/s]\n"
          ]
        }
      ]
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    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(\"/content/cancer_challenge_cl2.csv\",index_col=[0])\n",
        "df.head() #Shows first rows of the data"
      ],
      "metadata": {
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          "height": 314
        },
        "id": "gZNhS8cxOlO8",
        "outputId": "2048ad0b-f176-4dfb-81ce-a38513c7d03e"
      },
      "execution_count": 3,
      "outputs": [
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              "   mean radius  mean texture  mean perimeter  mean area  mean smoothness  \\\n",
              "0        17.99         10.38          122.80    -1001.0          0.11840   \n",
              "1        20.57         17.77          132.90     1326.0          0.08474   \n",
              "2        19.69         21.25          130.00     1203.0          0.10960   \n",
              "3        11.42         20.38           77.58      386.1          0.14250   \n",
              "4        20.29         14.34          135.10     1297.0          0.10030   \n",
              "\n",
              "   mean compactness  mean concavity  mean concave points  mean symmetry  \\\n",
              "0           0.27760          0.3001              0.14710         0.2419   \n",
              "1           0.07864          0.0869              0.07017         0.1812   \n",
              "2           0.15990          0.1974              0.12790         0.2069   \n",
              "3           0.28390          0.2414              0.10520         0.2597   \n",
              "4           0.13280          0.1980              0.10430         0.1809   \n",
              "\n",
              "   mean fractal dimension  ...  worst texture  worst perimeter  worst area  \\\n",
              "0                 0.07871  ...          17.33           184.60      2019.0   \n",
              "1                 0.05667  ...          23.41           158.80      1956.0   \n",
              "2                 0.05999  ...          25.53           152.50      1709.0   \n",
              "3                 0.09744  ...          26.50            98.87       567.7   \n",
              "4                 0.05883  ...          16.67           152.20      1575.0   \n",
              "\n",
              "   worst smoothness  worst compactness  worst concavity  worst concave points  \\\n",
              "0            0.1622             0.6656           0.7119                0.2654   \n",
              "1            0.1238             0.1866           0.2416                0.1860   \n",
              "2            0.1444             0.4245           0.4504                0.2430   \n",
              "3            0.2098             0.8663           0.6869                0.2575   \n",
              "4            0.1374             0.2050           0.4000                0.1625   \n",
              "\n",
              "   worst symmetry  worst fractal dimension  target  \n",
              "0          0.4601                  0.11890       0  \n",
              "1          0.2750                  0.08902       0  \n",
              "2          0.3613                  0.08758       0  \n",
              "3          0.6638                  0.17300       0  \n",
              "4          0.2364                  0.07678       0  \n",
              "\n",
              "[5 rows x 31 columns]"
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              "      <th></th>\n",
              "      <th>mean radius</th>\n",
              "      <th>mean texture</th>\n",
              "      <th>mean perimeter</th>\n",
              "      <th>mean area</th>\n",
              "      <th>mean smoothness</th>\n",
              "      <th>mean compactness</th>\n",
              "      <th>mean concavity</th>\n",
              "      <th>mean concave points</th>\n",
              "      <th>mean symmetry</th>\n",
              "      <th>mean fractal dimension</th>\n",
              "      <th>...</th>\n",
              "      <th>worst texture</th>\n",
              "      <th>worst perimeter</th>\n",
              "      <th>worst area</th>\n",
              "      <th>worst smoothness</th>\n",
              "      <th>worst compactness</th>\n",
              "      <th>worst concavity</th>\n",
              "      <th>worst concave points</th>\n",
              "      <th>worst symmetry</th>\n",
              "      <th>worst fractal dimension</th>\n",
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              "      <th>0</th>\n",
              "      <td>17.99</td>\n",
              "      <td>10.38</td>\n",
              "      <td>122.80</td>\n",
              "      <td>-1001.0</td>\n",
              "      <td>0.11840</td>\n",
              "      <td>0.27760</td>\n",
              "      <td>0.3001</td>\n",
              "      <td>0.14710</td>\n",
              "      <td>0.2419</td>\n",
              "      <td>0.07871</td>\n",
              "      <td>...</td>\n",
              "      <td>17.33</td>\n",
              "      <td>184.60</td>\n",
              "      <td>2019.0</td>\n",
              "      <td>0.1622</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.7119</td>\n",
              "      <td>0.2654</td>\n",
              "      <td>0.4601</td>\n",
              "      <td>0.11890</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>20.57</td>\n",
              "      <td>17.77</td>\n",
              "      <td>132.90</td>\n",
              "      <td>1326.0</td>\n",
              "      <td>0.08474</td>\n",
              "      <td>0.07864</td>\n",
              "      <td>0.0869</td>\n",
              "      <td>0.07017</td>\n",
              "      <td>0.1812</td>\n",
              "      <td>0.05667</td>\n",
              "      <td>...</td>\n",
              "      <td>23.41</td>\n",
              "      <td>158.80</td>\n",
              "      <td>1956.0</td>\n",
              "      <td>0.1238</td>\n",
              "      <td>0.1866</td>\n",
              "      <td>0.2416</td>\n",
              "      <td>0.1860</td>\n",
              "      <td>0.2750</td>\n",
              "      <td>0.08902</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>19.69</td>\n",
              "      <td>21.25</td>\n",
              "      <td>130.00</td>\n",
              "      <td>1203.0</td>\n",
              "      <td>0.10960</td>\n",
              "      <td>0.15990</td>\n",
              "      <td>0.1974</td>\n",
              "      <td>0.12790</td>\n",
              "      <td>0.2069</td>\n",
              "      <td>0.05999</td>\n",
              "      <td>...</td>\n",
              "      <td>25.53</td>\n",
              "      <td>152.50</td>\n",
              "      <td>1709.0</td>\n",
              "      <td>0.1444</td>\n",
              "      <td>0.4245</td>\n",
              "      <td>0.4504</td>\n",
              "      <td>0.2430</td>\n",
              "      <td>0.3613</td>\n",
              "      <td>0.08758</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>11.42</td>\n",
              "      <td>20.38</td>\n",
              "      <td>77.58</td>\n",
              "      <td>386.1</td>\n",
              "      <td>0.14250</td>\n",
              "      <td>0.28390</td>\n",
              "      <td>0.2414</td>\n",
              "      <td>0.10520</td>\n",
              "      <td>0.2597</td>\n",
              "      <td>0.09744</td>\n",
              "      <td>...</td>\n",
              "      <td>26.50</td>\n",
              "      <td>98.87</td>\n",
              "      <td>567.7</td>\n",
              "      <td>0.2098</td>\n",
              "      <td>0.8663</td>\n",
              "      <td>0.6869</td>\n",
              "      <td>0.2575</td>\n",
              "      <td>0.6638</td>\n",
              "      <td>0.17300</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>20.29</td>\n",
              "      <td>14.34</td>\n",
              "      <td>135.10</td>\n",
              "      <td>1297.0</td>\n",
              "      <td>0.10030</td>\n",
              "      <td>0.13280</td>\n",
              "      <td>0.1980</td>\n",
              "      <td>0.10430</td>\n",
              "      <td>0.1809</td>\n",
              "      <td>0.05883</td>\n",
              "      <td>...</td>\n",
              "      <td>16.67</td>\n",
              "      <td>152.20</td>\n",
              "      <td>1575.0</td>\n",
              "      <td>0.1374</td>\n",
              "      <td>0.2050</td>\n",
              "      <td>0.4000</td>\n",
              "      <td>0.1625</td>\n",
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      "source": [
        "df.shape #Number of rows and columns"
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        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "18465f2d-2b8f-4b55-f00d-0eea1869748f"
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      "execution_count": 4,
      "outputs": [
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(569, 31)"
            ]
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          "metadata": {},
          "execution_count": 4
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    {
      "cell_type": "code",
      "source": [
        "df.columns #Column index values"
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        "colab": {
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        },
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['mean radius', 'mean texture', 'mean perimeter', 'mean area',\n",
              "       'mean smoothness', 'mean compactness', 'mean concavity',\n",
              "       'mean concave points', 'mean symmetry', 'mean fractal dimension',\n",
              "       'radius error', 'texture error', 'perimeter error', 'area error',\n",
              "       'smoothness error', 'compactness error', 'concavity error',\n",
              "       'concave points error', 'symmetry error', 'fractal dimension error',\n",
              "       'worst radius', 'worst texture', 'worst perimeter', 'worst area',\n",
              "       'worst smoothness', 'worst compactness', 'worst concavity',\n",
              "       'worst concave points', 'worst symmetry', 'worst fractal dimension',\n",
              "       'target'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
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    {
      "cell_type": "code",
      "source": [
        "#Search for null values\n",
        "df.isnull().any() #True if any item in an iterable is null"
      ],
      "metadata": {
        "id": "1ipnpNtSPCV1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "32a7777f-f3fb-4d93-a70f-b61a3672845f"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "mean radius                False\n",
              "mean texture               False\n",
              "mean perimeter             False\n",
              "mean area                  False\n",
              "mean smoothness            False\n",
              "mean compactness           False\n",
              "mean concavity             False\n",
              "mean concave points        False\n",
              "mean symmetry               True\n",
              "mean fractal dimension     False\n",
              "radius error               False\n",
              "texture error              False\n",
              "perimeter error            False\n",
              "area error                 False\n",
              "smoothness error           False\n",
              "compactness error          False\n",
              "concavity error            False\n",
              "concave points error       False\n",
              "symmetry error             False\n",
              "fractal dimension error    False\n",
              "worst radius               False\n",
              "worst texture              False\n",
              "worst perimeter            False\n",
              "worst area                 False\n",
              "worst smoothness           False\n",
              "worst compactness          False\n",
              "worst concavity            False\n",
              "worst concave points       False\n",
              "worst symmetry             False\n",
              "worst fractal dimension     True\n",
              "target                     False\n",
              "dtype: bool"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
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      "source": [
        "df.describe() #Description of the data"
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          "height": 428
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      "execution_count": 7,
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          "data": {
            "text/plain": [
              "       mean radius  mean texture  mean perimeter    mean area  \\\n",
              "count   569.000000    569.000000      569.000000   569.000000   \n",
              "mean     14.127292     19.289649       91.969033   651.370650   \n",
              "std       3.524049      4.301036       24.298981   358.395954   \n",
              "min       6.981000      9.710000       43.790000 -1001.000000   \n",
              "25%      11.700000     16.170000       75.170000   419.800000   \n",
              "50%      13.370000     18.840000       86.240000   546.400000   \n",
              "75%      15.780000     21.800000      104.100000   782.600000   \n",
              "max      28.110000     39.280000      188.500000  2501.000000   \n",
              "\n",
              "       mean smoothness  mean compactness  mean concavity  mean concave points  \\\n",
              "count       569.000000        569.000000      569.000000           569.000000   \n",
              "mean          0.096360          0.104341        0.088799             0.048919   \n",
              "std           0.014064          0.052813        0.079720             0.038803   \n",
              "min           0.052630          0.019380        0.000000             0.000000   \n",
              "25%           0.086370          0.064920        0.029560             0.020310   \n",
              "50%           0.095870          0.092630        0.061540             0.033500   \n",
              "75%           0.105300          0.130400        0.130700             0.074000   \n",
              "max           0.163400          0.345400        0.426800             0.201200   \n",
              "\n",
              "       mean symmetry  mean fractal dimension  ...  worst texture  \\\n",
              "count     566.000000              569.000000  ...     569.000000   \n",
              "mean        0.181145                0.062798  ...      25.677223   \n",
              "std         0.027477                0.007060  ...       6.146258   \n",
              "min         0.106000                0.049960  ...      12.020000   \n",
              "25%         0.161900                0.057700  ...      21.080000   \n",
              "50%         0.179250                0.061540  ...      25.410000   \n",
              "75%         0.195675                0.066120  ...      29.720000   \n",
              "max         0.304000                0.097440  ...      49.540000   \n",
              "\n",
              "       worst perimeter   worst area  worst smoothness  worst compactness  \\\n",
              "count       569.000000   569.000000        569.000000         569.000000   \n",
              "mean        107.261213   880.583128          0.132369           0.254265   \n",
              "std          33.602542   569.356993          0.022832           0.157336   \n",
              "min          50.410000   185.200000          0.071170           0.027290   \n",
              "25%          84.110000   515.300000          0.116600           0.147200   \n",
              "50%          97.660000   686.500000          0.131300           0.211900   \n",
              "75%         125.400000  1084.000000          0.146000           0.339100   \n",
              "max         251.200000  4254.000000          0.222600           1.058000   \n",
              "\n",
              "       worst concavity  worst concave points  worst symmetry  \\\n",
              "count       569.000000            569.000000      569.000000   \n",
              "mean          0.272188              0.114606        0.290076   \n",
              "std           0.208624              0.065732        0.061867   \n",
              "min           0.000000              0.000000        0.156500   \n",
              "25%           0.114500              0.064930        0.250400   \n",
              "50%           0.226700              0.099930        0.282200   \n",
              "75%           0.382900              0.161400        0.317900   \n",
              "max           1.252000              0.291000        0.663800   \n",
              "\n",
              "       worst fractal dimension      target  \n",
              "count               568.000000  569.000000  \n",
              "mean                  0.083978    0.636204  \n",
              "std                   0.018061    0.516786  \n",
              "min                   0.055040    0.000000  \n",
              "25%                   0.071468    0.000000  \n",
              "50%                   0.080050    1.000000  \n",
              "75%                   0.092082    1.000000  \n",
              "max                   0.207500    5.000000  \n",
              "\n",
              "[8 rows x 31 columns]"
            ],
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              "\n",
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              "    <div class=\"colab-df-container\">\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>mean radius</th>\n",
              "      <th>mean texture</th>\n",
              "      <th>mean perimeter</th>\n",
              "      <th>mean area</th>\n",
              "      <th>mean smoothness</th>\n",
              "      <th>mean compactness</th>\n",
              "      <th>mean concavity</th>\n",
              "      <th>mean concave points</th>\n",
              "      <th>mean symmetry</th>\n",
              "      <th>mean fractal dimension</th>\n",
              "      <th>...</th>\n",
              "      <th>worst texture</th>\n",
              "      <th>worst perimeter</th>\n",
              "      <th>worst area</th>\n",
              "      <th>worst smoothness</th>\n",
              "      <th>worst compactness</th>\n",
              "      <th>worst concavity</th>\n",
              "      <th>worst concave points</th>\n",
              "      <th>worst symmetry</th>\n",
              "      <th>worst fractal dimension</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>566.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>569.000000</td>\n",
              "      <td>568.000000</td>\n",
              "      <td>569.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>14.127292</td>\n",
              "      <td>19.289649</td>\n",
              "      <td>91.969033</td>\n",
              "      <td>651.370650</td>\n",
              "      <td>0.096360</td>\n",
              "      <td>0.104341</td>\n",
              "      <td>0.088799</td>\n",
              "      <td>0.048919</td>\n",
              "      <td>0.181145</td>\n",
              "      <td>0.062798</td>\n",
              "      <td>...</td>\n",
              "      <td>25.677223</td>\n",
              "      <td>107.261213</td>\n",
              "      <td>880.583128</td>\n",
              "      <td>0.132369</td>\n",
              "      <td>0.254265</td>\n",
              "      <td>0.272188</td>\n",
              "      <td>0.114606</td>\n",
              "      <td>0.290076</td>\n",
              "      <td>0.083978</td>\n",
              "      <td>0.636204</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>3.524049</td>\n",
              "      <td>4.301036</td>\n",
              "      <td>24.298981</td>\n",
              "      <td>358.395954</td>\n",
              "      <td>0.014064</td>\n",
              "      <td>0.052813</td>\n",
              "      <td>0.079720</td>\n",
              "      <td>0.038803</td>\n",
              "      <td>0.027477</td>\n",
              "      <td>0.007060</td>\n",
              "      <td>...</td>\n",
              "      <td>6.146258</td>\n",
              "      <td>33.602542</td>\n",
              "      <td>569.356993</td>\n",
              "      <td>0.022832</td>\n",
              "      <td>0.157336</td>\n",
              "      <td>0.208624</td>\n",
              "      <td>0.065732</td>\n",
              "      <td>0.061867</td>\n",
              "      <td>0.018061</td>\n",
              "      <td>0.516786</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>6.981000</td>\n",
              "      <td>9.710000</td>\n",
              "      <td>43.790000</td>\n",
              "      <td>-1001.000000</td>\n",
              "      <td>0.052630</td>\n",
              "      <td>0.019380</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.106000</td>\n",
              "      <td>0.049960</td>\n",
              "      <td>...</td>\n",
              "      <td>12.020000</td>\n",
              "      <td>50.410000</td>\n",
              "      <td>185.200000</td>\n",
              "      <td>0.071170</td>\n",
              "      <td>0.027290</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.156500</td>\n",
              "      <td>0.055040</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>11.700000</td>\n",
              "      <td>16.170000</td>\n",
              "      <td>75.170000</td>\n",
              "      <td>419.800000</td>\n",
              "      <td>0.086370</td>\n",
              "      <td>0.064920</td>\n",
              "      <td>0.029560</td>\n",
              "      <td>0.020310</td>\n",
              "      <td>0.161900</td>\n",
              "      <td>0.057700</td>\n",
              "      <td>...</td>\n",
              "      <td>21.080000</td>\n",
              "      <td>84.110000</td>\n",
              "      <td>515.300000</td>\n",
              "      <td>0.116600</td>\n",
              "      <td>0.147200</td>\n",
              "      <td>0.114500</td>\n",
              "      <td>0.064930</td>\n",
              "      <td>0.250400</td>\n",
              "      <td>0.071468</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>13.370000</td>\n",
              "      <td>18.840000</td>\n",
              "      <td>86.240000</td>\n",
              "      <td>546.400000</td>\n",
              "      <td>0.095870</td>\n",
              "      <td>0.092630</td>\n",
              "      <td>0.061540</td>\n",
              "      <td>0.033500</td>\n",
              "      <td>0.179250</td>\n",
              "      <td>0.061540</td>\n",
              "      <td>...</td>\n",
              "      <td>25.410000</td>\n",
              "      <td>97.660000</td>\n",
              "      <td>686.500000</td>\n",
              "      <td>0.131300</td>\n",
              "      <td>0.211900</td>\n",
              "      <td>0.226700</td>\n",
              "      <td>0.099930</td>\n",
              "      <td>0.282200</td>\n",
              "      <td>0.080050</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>15.780000</td>\n",
              "      <td>21.800000</td>\n",
              "      <td>104.100000</td>\n",
              "      <td>782.600000</td>\n",
              "      <td>0.105300</td>\n",
              "      <td>0.130400</td>\n",
              "      <td>0.130700</td>\n",
              "      <td>0.074000</td>\n",
              "      <td>0.195675</td>\n",
              "      <td>0.066120</td>\n",
              "      <td>...</td>\n",
              "      <td>29.720000</td>\n",
              "      <td>125.400000</td>\n",
              "      <td>1084.000000</td>\n",
              "      <td>0.146000</td>\n",
              "      <td>0.339100</td>\n",
              "      <td>0.382900</td>\n",
              "      <td>0.161400</td>\n",
              "      <td>0.317900</td>\n",
              "      <td>0.092082</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>28.110000</td>\n",
              "      <td>39.280000</td>\n",
              "      <td>188.500000</td>\n",
              "      <td>2501.000000</td>\n",
              "      <td>0.163400</td>\n",
              "      <td>0.345400</td>\n",
              "      <td>0.426800</td>\n",
              "      <td>0.201200</td>\n",
              "      <td>0.304000</td>\n",
              "      <td>0.097440</td>\n",
              "      <td>...</td>\n",
              "      <td>49.540000</td>\n",
              "      <td>251.200000</td>\n",
              "      <td>4254.000000</td>\n",
              "      <td>0.222600</td>\n",
              "      <td>1.058000</td>\n",
              "      <td>1.252000</td>\n",
              "      <td>0.291000</td>\n",
              "      <td>0.663800</td>\n",
              "      <td>0.207500</td>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 31 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-698419c5-784d-4410-a753-311bbf48bdc9')\"\n",
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              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Preprocesamiento"
      ],
      "metadata": {
        "id": "rkM210QLt0dt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# checking for categorical and numerical features\n",
        "for col in df.columns:\n",
        "  print(col, \":\",df[col].nunique()) #Numer of unique values in a column"
      ],
      "metadata": {
        "id": "EZKGDG2qPOIV",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f8faef15-7a0f-4684-b0c8-d17797cad74f"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "mean radius : 456\n",
            "mean texture : 479\n",
            "mean perimeter : 522\n",
            "mean area : 539\n",
            "mean smoothness : 474\n",
            "mean compactness : 537\n",
            "mean concavity : 537\n",
            "mean concave points : 542\n",
            "mean symmetry : 430\n",
            "mean fractal dimension : 499\n",
            "radius error : 540\n",
            "texture error : 519\n",
            "perimeter error : 533\n",
            "area error : 528\n",
            "smoothness error : 547\n",
            "compactness error : 541\n",
            "concavity error : 533\n",
            "concave points error : 507\n",
            "symmetry error : 498\n",
            "fractal dimension error : 545\n",
            "worst radius : 457\n",
            "worst texture : 511\n",
            "worst perimeter : 514\n",
            "worst area : 544\n",
            "worst smoothness : 411\n",
            "worst compactness : 529\n",
            "worst concavity : 539\n",
            "worst concave points : 492\n",
            "worst symmetry : 500\n",
            "worst fractal dimension : 534\n",
            "target : 3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"target\"].unique() #Unique values in column \"target\""
      ],
      "metadata": {
        "id": "-gGPtRzLPcW_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9f3244bd-55eb-41d2-ffee-9a5b7b739ddd"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1, 5])"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df[df[\"target\"]==5]=1 #Replace 5 with 1, where 1 means cancer, and 0 not cancer."
      ],
      "metadata": {
        "id": "ZDDWWQBOP1tj"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"target\"].unique() #Confirm correct unique values of target column"
      ],
      "metadata": {
        "id": "lETBiJotQaNO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "80871b09-4e05-451e-c2c1-44d832ae141e"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1])"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().any().sum() #Sum of null values"
      ],
      "metadata": {
        "id": "-JzV4wlmQmRE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "390ee05b-99b0-418e-bc7d-3af09f052ea9"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df=df.dropna().reset_index(drop=True) #Drop null values and delete old index, new index is used.\n",
        "df.isnull().any().sum() #Confirm that there are no null values"
      ],
      "metadata": {
        "id": "O8749FgnQu3d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4d8d9a1c-b5a1-4573-d676-6c3300270e8f"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Visualización de datos"
      ],
      "metadata": {
        "id": "zVekd1pRq3c-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "x = df.drop([\"target\"],axis=1) #x are the other 30 columns different that target\n",
        "y = df[\"target\"] #y is the target column"
      ],
      "metadata": {
        "id": "UuPSET_YTZ28"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Graph target values\n",
        "sns.countplot(data=df, x='target', palette=\"Blues\") #Show the counts of observations in each categorical bin using bars.\n",
        "plt.xlabel('Target', fontsize=14, weight='bold') #Parameters of x axis\n",
        "plt.ylabel('Count', fontsize=14, weight='bold') #Parameters of y axis\n",
        "plt.xticks(ticks=[0, 1], labels=['No Cancer', 'Cancer'], weight='bold') #Set values 0 and 1 to labels No Cancer and Cancer, respectively\n",
        "\n",
        "# add labels on each bar\n",
        "for bar in plt.gca().containers:\n",
        "    label = [f\"{int(h.get_height())}\" for h in bar] #label: string literal of height of bar\n",
        "    plt.bar_label(bar, labels=label, label_type='edge') #set plot bar parameters\n",
        "plt.show() #visualize the plot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 454
        },
        "id": "1HiLes8J5z_1",
        "outputId": "487c179a-47c6-4a4f-83e8-a5782441402c"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "## We define the list of numerical characteristics\n",
        "# We define the size of the figure\n",
        "plt.figure(figsize=(24, 12))\n",
        "\n",
        "# We add the title\n",
        "plt.suptitle('Comparison of distributions of numerical characteristics by target value', fontsize=14)\n",
        "\n",
        "# We create a loop to create the sub-graphs\n",
        "for i,feature in enumerate(x.columns):\n",
        "    ax = plt.subplot(5, 6, i+1)\n",
        "    sns.boxplot(x='target', y=feature, data=df, palette=\"Blues\", ax=ax)\n",
        "    ax.set_xlabel('Target', fontsize=12)\n",
        "    ax.set_ylabel(feature, fontsize=12)\n",
        "\n",
        "# We adjust the design and show the figure\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 905
        },
        "id": "PF3QCRtTIsVD",
        "outputId": "17a77060-6178-4996-ec72-ad376156ae1c"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2400x1200 with 30 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "## Checking numerical features distribution\n",
        "# We define the size of the figure\n",
        "plt.figure(figsize = (18, 9))\n",
        "# We define a title\n",
        "plt.suptitle('Distribution of numerical characteristics', fontsize=16)\n",
        "\n",
        "# We create a loop to create the sub-graphs\n",
        "for i,feature in enumerate(x.columns):\n",
        "  ax = plt.subplot(5, 6, i+1)\n",
        "  sns.histplot(df[feature], color='blue', kde=True, ax=ax) # data=num_ft[i] -> values of the columns excluding column target\n",
        "  ax.set_title(f\"skew={df[feature].skew():.2f}\", fontsize=10) #calculates the skew for each column and represent it literal\n",
        "  ax.set_xlabel(feature, fontsize=8) #name of column\n",
        "  ax.set_ylabel('Frequency', fontsize=8)\n",
        "    \n",
        "# We adjust the design and show the figure\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "#  it is observed that most of the predictor variables are normally distributed (bell shape)"
      ],
      "metadata": {
        "id": "tlqswPKWVBU-",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 904
        },
        "outputId": "a1452662-7636-4960-d45d-551901d2b46f"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x900 with 30 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Correlation between variables\n",
        "corr = df.corr()# we calculate the correlation of the data\n",
        "sns.heatmap(corr, xticklabels=corr.columns, yticklabels=corr.columns, cmap='coolwarm')# we generate the plot\n",
        "plt.title('Correlation Matrix')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 603
        },
        "id": "zIaWbeWqyMi_",
        "outputId": "125de43c-5140-4f87-cd97-7dd09312f2b3"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Normalization of data\n",
        "normalized_x = (x-x.min())/(x.max()-x.min()) \n",
        "normalized_x"
      ],
      "metadata": {
        "id": "nC4PIkkzT0K0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 502
        },
        "outputId": "e1c7c584-bbf3-4164-ab7c-40c8952a2a9c"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     mean radius  mean texture  mean perimeter  mean area  mean smoothness  \\\n",
              "0       0.626706      0.245037        0.649600   0.000000         0.069424   \n",
              "1       0.721874      0.438088        0.703467   0.664477         0.033894   \n",
              "2       0.689414      0.528997        0.688000   0.629355         0.060135   \n",
              "3       0.384360      0.506270        0.408427   0.396088         0.094863   \n",
              "4       0.711546      0.348485        0.715200   0.656196         0.050318   \n",
              "..           ...           ...             ...        ...              ...   \n",
              "560     0.758392      0.558777        0.752000   0.708167         0.061613   \n",
              "561     0.705644      0.711860        0.694400   0.645917         0.047679   \n",
              "562     0.575433      0.707419        0.572267   0.530868         0.033693   \n",
              "563     0.722980      0.740073        0.741867   0.647059         0.068790   \n",
              "564     0.249354      0.614943        0.250240   0.337521         0.000000   \n",
              "\n",
              "     mean compactness  mean concavity  mean concave points  mean symmetry  \\\n",
              "0            0.263323         0.30010              0.14710       0.152013   \n",
              "1            0.060431         0.08690              0.07017       0.084116   \n",
              "2            0.143297         0.19740              0.12790       0.112864   \n",
              "3            0.269748         0.24140              0.10520       0.171924   \n",
              "4            0.115662         0.19800              0.10430       0.083781   \n",
              "..                ...             ...                  ...            ...   \n",
              "560          0.098428         0.24390              0.13890       0.074497   \n",
              "561          0.085680         0.14400              0.09791       0.077405   \n",
              "562          0.084559         0.09251              0.05302       0.059284   \n",
              "563          0.262711         0.35140              0.15200       0.149553   \n",
              "564          0.024719         0.00000              0.00000       0.058949   \n",
              "\n",
              "     mean fractal dimension  ...  worst radius  worst texture  \\\n",
              "0                  0.030262  ...      0.695776       0.336424   \n",
              "1                  0.007063  ...      0.684646       0.461681   \n",
              "2                  0.010557  ...      0.644121       0.505356   \n",
              "3                  0.049977  ...      0.396975       0.525340   \n",
              "4                  0.009336  ...      0.614726       0.322827   \n",
              "..                      ...  ...           ...            ...   \n",
              "560                0.006600  ...      0.697774       0.523280   \n",
              "561                0.005652  ...      0.647546       0.767408   \n",
              "562                0.006863  ...      0.513128       0.682324   \n",
              "563                0.021262  ...      0.706050       0.791512   \n",
              "564                0.009347  ...      0.241324       0.605068   \n",
              "\n",
              "     worst perimeter  worst area  worst smoothness  worst compactness  \\\n",
              "0           0.733813    0.474489          0.098005           0.619292   \n",
              "1           0.630695    0.459676          0.056663           0.154563   \n",
              "2           0.605516    0.401599          0.078841           0.385375   \n",
              "3           0.391167    0.133247          0.149252           0.814012   \n",
              "4           0.604317    0.370092          0.071305           0.172415   \n",
              "..               ...         ...               ...                ...   \n",
              "560         0.659872    0.476370          0.075181           0.178527   \n",
              "561         0.615508    0.406772          0.048911           0.159997   \n",
              "562         0.502398    0.264049          0.046004           0.273705   \n",
              "563         0.733813    0.427933          0.101020           0.815758   \n",
              "564         0.232454    0.062920          0.020230           0.036043   \n",
              "\n",
              "     worst concavity  worst concave points  worst symmetry  \\\n",
              "0           0.568610                0.2654        0.359929   \n",
              "1           0.192971                0.1860        0.140486   \n",
              "2           0.359744                0.2430        0.242798   \n",
              "3           0.548642                0.2575        0.601423   \n",
              "4           0.319489                0.1625        0.094724   \n",
              "..               ...                   ...             ...   \n",
              "560         0.328035                0.2216        0.058684   \n",
              "561         0.256789                0.1628        0.119384   \n",
              "562         0.271805                0.1418        0.077416   \n",
              "563         0.749760                0.2650        0.298992   \n",
              "564         0.000000                0.0000        0.154831   \n",
              "\n",
              "     worst fractal dimension  \n",
              "0                   0.067580  \n",
              "1                   0.035959  \n",
              "2                   0.034435  \n",
              "3                   0.124831  \n",
              "4                   0.023006  \n",
              "..                       ...  \n",
              "560                 0.017048  \n",
              "561                 0.011990  \n",
              "562                 0.024509  \n",
              "563                 0.072977  \n",
              "564                 0.016244  \n",
              "\n",
              "[565 rows x 30 columns]"
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              "      <th></th>\n",
              "      <th>mean radius</th>\n",
              "      <th>mean texture</th>\n",
              "      <th>mean perimeter</th>\n",
              "      <th>mean area</th>\n",
              "      <th>mean smoothness</th>\n",
              "      <th>mean compactness</th>\n",
              "      <th>mean concavity</th>\n",
              "      <th>mean concave points</th>\n",
              "      <th>mean symmetry</th>\n",
              "      <th>mean fractal dimension</th>\n",
              "      <th>...</th>\n",
              "      <th>worst radius</th>\n",
              "      <th>worst texture</th>\n",
              "      <th>worst perimeter</th>\n",
              "      <th>worst area</th>\n",
              "      <th>worst smoothness</th>\n",
              "      <th>worst compactness</th>\n",
              "      <th>worst concavity</th>\n",
              "      <th>worst concave points</th>\n",
              "      <th>worst symmetry</th>\n",
              "      <th>worst fractal dimension</th>\n",
              "    </tr>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.626706</td>\n",
              "      <td>0.245037</td>\n",
              "      <td>0.649600</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.069424</td>\n",
              "      <td>0.263323</td>\n",
              "      <td>0.30010</td>\n",
              "      <td>0.14710</td>\n",
              "      <td>0.152013</td>\n",
              "      <td>0.030262</td>\n",
              "      <td>...</td>\n",
              "      <td>0.695776</td>\n",
              "      <td>0.336424</td>\n",
              "      <td>0.733813</td>\n",
              "      <td>0.474489</td>\n",
              "      <td>0.098005</td>\n",
              "      <td>0.619292</td>\n",
              "      <td>0.568610</td>\n",
              "      <td>0.2654</td>\n",
              "      <td>0.359929</td>\n",
              "      <td>0.067580</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.721874</td>\n",
              "      <td>0.438088</td>\n",
              "      <td>0.703467</td>\n",
              "      <td>0.664477</td>\n",
              "      <td>0.033894</td>\n",
              "      <td>0.060431</td>\n",
              "      <td>0.08690</td>\n",
              "      <td>0.07017</td>\n",
              "      <td>0.084116</td>\n",
              "      <td>0.007063</td>\n",
              "      <td>...</td>\n",
              "      <td>0.684646</td>\n",
              "      <td>0.461681</td>\n",
              "      <td>0.630695</td>\n",
              "      <td>0.459676</td>\n",
              "      <td>0.056663</td>\n",
              "      <td>0.154563</td>\n",
              "      <td>0.192971</td>\n",
              "      <td>0.1860</td>\n",
              "      <td>0.140486</td>\n",
              "      <td>0.035959</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.689414</td>\n",
              "      <td>0.528997</td>\n",
              "      <td>0.688000</td>\n",
              "      <td>0.629355</td>\n",
              "      <td>0.060135</td>\n",
              "      <td>0.143297</td>\n",
              "      <td>0.19740</td>\n",
              "      <td>0.12790</td>\n",
              "      <td>0.112864</td>\n",
              "      <td>0.010557</td>\n",
              "      <td>...</td>\n",
              "      <td>0.644121</td>\n",
              "      <td>0.505356</td>\n",
              "      <td>0.605516</td>\n",
              "      <td>0.401599</td>\n",
              "      <td>0.078841</td>\n",
              "      <td>0.385375</td>\n",
              "      <td>0.359744</td>\n",
              "      <td>0.2430</td>\n",
              "      <td>0.242798</td>\n",
              "      <td>0.034435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.384360</td>\n",
              "      <td>0.506270</td>\n",
              "      <td>0.408427</td>\n",
              "      <td>0.396088</td>\n",
              "      <td>0.094863</td>\n",
              "      <td>0.269748</td>\n",
              "      <td>0.24140</td>\n",
              "      <td>0.10520</td>\n",
              "      <td>0.171924</td>\n",
              "      <td>0.049977</td>\n",
              "      <td>...</td>\n",
              "      <td>0.396975</td>\n",
              "      <td>0.525340</td>\n",
              "      <td>0.391167</td>\n",
              "      <td>0.133247</td>\n",
              "      <td>0.149252</td>\n",
              "      <td>0.814012</td>\n",
              "      <td>0.548642</td>\n",
              "      <td>0.2575</td>\n",
              "      <td>0.601423</td>\n",
              "      <td>0.124831</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.711546</td>\n",
              "      <td>0.348485</td>\n",
              "      <td>0.715200</td>\n",
              "      <td>0.656196</td>\n",
              "      <td>0.050318</td>\n",
              "      <td>0.115662</td>\n",
              "      <td>0.19800</td>\n",
              "      <td>0.10430</td>\n",
              "      <td>0.083781</td>\n",
              "      <td>0.009336</td>\n",
              "      <td>...</td>\n",
              "      <td>0.614726</td>\n",
              "      <td>0.322827</td>\n",
              "      <td>0.604317</td>\n",
              "      <td>0.370092</td>\n",
              "      <td>0.071305</td>\n",
              "      <td>0.172415</td>\n",
              "      <td>0.319489</td>\n",
              "      <td>0.1625</td>\n",
              "      <td>0.094724</td>\n",
              "      <td>0.023006</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>560</th>\n",
              "      <td>0.758392</td>\n",
              "      <td>0.558777</td>\n",
              "      <td>0.752000</td>\n",
              "      <td>0.708167</td>\n",
              "      <td>0.061613</td>\n",
              "      <td>0.098428</td>\n",
              "      <td>0.24390</td>\n",
              "      <td>0.13890</td>\n",
              "      <td>0.074497</td>\n",
              "      <td>0.006600</td>\n",
              "      <td>...</td>\n",
              "      <td>0.697774</td>\n",
              "      <td>0.523280</td>\n",
              "      <td>0.659872</td>\n",
              "      <td>0.476370</td>\n",
              "      <td>0.075181</td>\n",
              "      <td>0.178527</td>\n",
              "      <td>0.328035</td>\n",
              "      <td>0.2216</td>\n",
              "      <td>0.058684</td>\n",
              "      <td>0.017048</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>561</th>\n",
              "      <td>0.705644</td>\n",
              "      <td>0.711860</td>\n",
              "      <td>0.694400</td>\n",
              "      <td>0.645917</td>\n",
              "      <td>0.047679</td>\n",
              "      <td>0.085680</td>\n",
              "      <td>0.14400</td>\n",
              "      <td>0.09791</td>\n",
              "      <td>0.077405</td>\n",
              "      <td>0.005652</td>\n",
              "      <td>...</td>\n",
              "      <td>0.647546</td>\n",
              "      <td>0.767408</td>\n",
              "      <td>0.615508</td>\n",
              "      <td>0.406772</td>\n",
              "      <td>0.048911</td>\n",
              "      <td>0.159997</td>\n",
              "      <td>0.256789</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>0.119384</td>\n",
              "      <td>0.011990</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>562</th>\n",
              "      <td>0.575433</td>\n",
              "      <td>0.707419</td>\n",
              "      <td>0.572267</td>\n",
              "      <td>0.530868</td>\n",
              "      <td>0.033693</td>\n",
              "      <td>0.084559</td>\n",
              "      <td>0.09251</td>\n",
              "      <td>0.05302</td>\n",
              "      <td>0.059284</td>\n",
              "      <td>0.006863</td>\n",
              "      <td>...</td>\n",
              "      <td>0.513128</td>\n",
              "      <td>0.682324</td>\n",
              "      <td>0.502398</td>\n",
              "      <td>0.264049</td>\n",
              "      <td>0.046004</td>\n",
              "      <td>0.273705</td>\n",
              "      <td>0.271805</td>\n",
              "      <td>0.1418</td>\n",
              "      <td>0.077416</td>\n",
              "      <td>0.024509</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>563</th>\n",
              "      <td>0.722980</td>\n",
              "      <td>0.740073</td>\n",
              "      <td>0.741867</td>\n",
              "      <td>0.647059</td>\n",
              "      <td>0.068790</td>\n",
              "      <td>0.262711</td>\n",
              "      <td>0.35140</td>\n",
              "      <td>0.15200</td>\n",
              "      <td>0.149553</td>\n",
              "      <td>0.021262</td>\n",
              "      <td>...</td>\n",
              "      <td>0.706050</td>\n",
              "      <td>0.791512</td>\n",
              "      <td>0.733813</td>\n",
              "      <td>0.427933</td>\n",
              "      <td>0.101020</td>\n",
              "      <td>0.815758</td>\n",
              "      <td>0.749760</td>\n",
              "      <td>0.2650</td>\n",
              "      <td>0.298992</td>\n",
              "      <td>0.072977</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>564</th>\n",
              "      <td>0.249354</td>\n",
              "      <td>0.614943</td>\n",
              "      <td>0.250240</td>\n",
              "      <td>0.337521</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.024719</td>\n",
              "      <td>0.00000</td>\n",
              "      <td>0.00000</td>\n",
              "      <td>0.058949</td>\n",
              "      <td>0.009347</td>\n",
              "      <td>...</td>\n",
              "      <td>0.241324</td>\n",
              "      <td>0.605068</td>\n",
              "      <td>0.232454</td>\n",
              "      <td>0.062920</td>\n",
              "      <td>0.020230</td>\n",
              "      <td>0.036043</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.154831</td>\n",
              "      <td>0.016244</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>565 rows × 30 columns</p>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### LazyPredict model test"
      ],
      "metadata": {
        "id": "INFEU4tEu2MC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip -q install lazypredict"
      ],
      "metadata": {
        "id": "JKBYTkH1WAW6"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from lazypredict.Supervised import LazyClassifier\n",
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, y_train, y_test = train_test_split(normalized_x, y,test_size=.3,random_state =123)\n",
        "clf = LazyClassifier(verbose=0,ignore_warnings=True, custom_metric=None)\n",
        "models,predictions = clf.fit(X_train, X_test, y_train, y_test)\n",
        "models"
      ],
      "metadata": {
        "id": "vB1dZBt_Vshc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 945
        },
        "outputId": "5031e654-4234-4bf6-ff67-b2c884a2f300"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 29/29 [00:02<00:00, 14.40it/s]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                               Accuracy  Balanced Accuracy  ROC AUC  F1 Score  \\\n",
              "Model                                                                           \n",
              "SGDClassifier                      0.98               0.97     0.97      0.98   \n",
              "Perceptron                         0.98               0.97     0.97      0.98   \n",
              "LogisticRegression                 0.97               0.97     0.97      0.97   \n",
              "LinearSVC                          0.96               0.96     0.96      0.96   \n",
              "SVC                                0.96               0.96     0.96      0.96   \n",
              "KNeighborsClassifier               0.96               0.95     0.95      0.96   \n",
              "PassiveAggressiveClassifier        0.96               0.95     0.95      0.96   \n",
              "AdaBoostClassifier                 0.95               0.95     0.95      0.95   \n",
              "ExtraTreesClassifier               0.95               0.95     0.95      0.95   \n",
              "QuadraticDiscriminantAnalysis      0.95               0.95     0.95      0.95   \n",
              "RandomForestClassifier             0.95               0.94     0.94      0.95   \n",
              "LGBMClassifier                     0.95               0.94     0.94      0.95   \n",
              "LabelPropagation                   0.95               0.94     0.94      0.95   \n",
              "LabelSpreading                     0.95               0.94     0.94      0.95   \n",
              "GaussianNB                         0.92               0.93     0.93      0.92   \n",
              "BernoulliNB                        0.94               0.93     0.93      0.94   \n",
              "XGBClassifier                      0.94               0.93     0.93      0.94   \n",
              "CalibratedClassifierCV             0.94               0.93     0.93      0.94   \n",
              "NuSVC                              0.93               0.92     0.92      0.93   \n",
              "RidgeClassifier                    0.93               0.92     0.92      0.93   \n",
              "RidgeClassifierCV                  0.93               0.92     0.92      0.93   \n",
              "NearestCentroid                    0.92               0.91     0.91      0.92   \n",
              "LinearDiscriminantAnalysis         0.92               0.91     0.91      0.92   \n",
              "BaggingClassifier                  0.91               0.91     0.91      0.91   \n",
              "DecisionTreeClassifier             0.91               0.91     0.91      0.91   \n",
              "ExtraTreeClassifier                0.89               0.89     0.89      0.89   \n",
              "DummyClassifier                    0.59               0.50     0.50      0.44   \n",
              "\n",
              "                               Time Taken  \n",
              "Model                                      \n",
              "SGDClassifier                        0.04  \n",
              "Perceptron                           0.01  \n",
              "LogisticRegression                   0.05  \n",
              "LinearSVC                            0.05  \n",
              "SVC                                  0.05  \n",
              "KNeighborsClassifier                 0.18  \n",
              "PassiveAggressiveClassifier          0.02  \n",
              "AdaBoostClassifier                   0.21  \n",
              "ExtraTreesClassifier                 0.23  \n",
              "QuadraticDiscriminantAnalysis        0.03  \n",
              "RandomForestClassifier               0.23  \n",
              "LGBMClassifier                       0.17  \n",
              "LabelPropagation                     0.04  \n",
              "LabelSpreading                       0.04  \n",
              "GaussianNB                           0.02  \n",
              "BernoulliNB                          0.01  \n",
              "XGBClassifier                        0.22  \n",
              "CalibratedClassifierCV               0.05  \n",
              "NuSVC                                0.04  \n",
              "RidgeClassifier                      0.02  \n",
              "RidgeClassifierCV                    0.03  \n",
              "NearestCentroid                      0.03  \n",
              "LinearDiscriminantAnalysis           0.05  \n",
              "BaggingClassifier                    0.07  \n",
              "DecisionTreeClassifier               0.02  \n",
              "ExtraTreeClassifier                  0.01  \n",
              "DummyClassifier                      0.01  "
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Accuracy</th>\n",
              "      <th>Balanced Accuracy</th>\n",
              "      <th>ROC AUC</th>\n",
              "      <th>F1 Score</th>\n",
              "      <th>Time Taken</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Model</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>SGDClassifier</th>\n",
              "      <td>0.98</td>\n",
              "      <td>0.97</td>\n",
              "      <td>0.97</td>\n",
              "      <td>0.98</td>\n",
              "      <td>0.04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Perceptron</th>\n",
              "      <td>0.98</td>\n",
              "      <td>0.97</td>\n",
              "      <td>0.97</td>\n",
              "      <td>0.98</td>\n",
              "      <td>0.01</td>\n",
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              "    <tr>\n",
              "      <th>LogisticRegression</th>\n",
              "      <td>0.97</td>\n",
              "      <td>0.97</td>\n",
              "      <td>0.97</td>\n",
              "      <td>0.97</td>\n",
              "      <td>0.05</td>\n",
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              "    <tr>\n",
              "      <th>LinearSVC</th>\n",
              "      <td>0.96</td>\n",
              "      <td>0.96</td>\n",
              "      <td>0.96</td>\n",
              "      <td>0.96</td>\n",
              "      <td>0.05</td>\n",
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              "    <tr>\n",
              "      <th>SVC</th>\n",
              "      <td>0.96</td>\n",
              "      <td>0.96</td>\n",
              "      <td>0.96</td>\n",
              "      <td>0.96</td>\n",
              "      <td>0.05</td>\n",
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              "    <tr>\n",
              "      <th>KNeighborsClassifier</th>\n",
              "      <td>0.96</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.96</td>\n",
              "      <td>0.18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PassiveAggressiveClassifier</th>\n",
              "      <td>0.96</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.96</td>\n",
              "      <td>0.02</td>\n",
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              "    <tr>\n",
              "      <th>AdaBoostClassifier</th>\n",
              "      <td>0.95</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.21</td>\n",
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              "    <tr>\n",
              "      <th>ExtraTreesClassifier</th>\n",
              "      <td>0.95</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>QuadraticDiscriminantAnalysis</th>\n",
              "      <td>0.95</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.03</td>\n",
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              "    <tr>\n",
              "      <th>RandomForestClassifier</th>\n",
              "      <td>0.95</td>\n",
              "      <td>0.94</td>\n",
              "      <td>0.94</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LGBMClassifier</th>\n",
              "      <td>0.95</td>\n",
              "      <td>0.94</td>\n",
              "      <td>0.94</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LabelPropagation</th>\n",
              "      <td>0.95</td>\n",
              "      <td>0.94</td>\n",
              "      <td>0.94</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LabelSpreading</th>\n",
              "      <td>0.95</td>\n",
              "      <td>0.94</td>\n",
              "      <td>0.94</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GaussianNB</th>\n",
              "      <td>0.92</td>\n",
              "      <td>0.93</td>\n",
              "      <td>0.93</td>\n",
              "      <td>0.92</td>\n",
              "      <td>0.02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BernoulliNB</th>\n",
              "      <td>0.94</td>\n",
              "      <td>0.93</td>\n",
              "      <td>0.93</td>\n",
              "      <td>0.94</td>\n",
              "      <td>0.01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>XGBClassifier</th>\n",
              "      <td>0.94</td>\n",
              "      <td>0.93</td>\n",
              "      <td>0.93</td>\n",
              "      <td>0.94</td>\n",
              "      <td>0.22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CalibratedClassifierCV</th>\n",
              "      <td>0.94</td>\n",
              "      <td>0.93</td>\n",
              "      <td>0.93</td>\n",
              "      <td>0.94</td>\n",
              "      <td>0.05</td>\n",
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              "    <tr>\n",
              "      <th>NuSVC</th>\n",
              "      <td>0.93</td>\n",
              "      <td>0.92</td>\n",
              "      <td>0.92</td>\n",
              "      <td>0.93</td>\n",
              "      <td>0.04</td>\n",
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              "    <tr>\n",
              "      <th>RidgeClassifier</th>\n",
              "      <td>0.93</td>\n",
              "      <td>0.92</td>\n",
              "      <td>0.92</td>\n",
              "      <td>0.93</td>\n",
              "      <td>0.02</td>\n",
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              "    <tr>\n",
              "      <th>RidgeClassifierCV</th>\n",
              "      <td>0.93</td>\n",
              "      <td>0.92</td>\n",
              "      <td>0.92</td>\n",
              "      <td>0.93</td>\n",
              "      <td>0.03</td>\n",
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              "    <tr>\n",
              "      <th>NearestCentroid</th>\n",
              "      <td>0.92</td>\n",
              "      <td>0.91</td>\n",
              "      <td>0.91</td>\n",
              "      <td>0.92</td>\n",
              "      <td>0.03</td>\n",
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              "    <tr>\n",
              "      <th>LinearDiscriminantAnalysis</th>\n",
              "      <td>0.92</td>\n",
              "      <td>0.91</td>\n",
              "      <td>0.91</td>\n",
              "      <td>0.92</td>\n",
              "      <td>0.05</td>\n",
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              "    <tr>\n",
              "      <th>BaggingClassifier</th>\n",
              "      <td>0.91</td>\n",
              "      <td>0.91</td>\n",
              "      <td>0.91</td>\n",
              "      <td>0.91</td>\n",
              "      <td>0.07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DecisionTreeClassifier</th>\n",
              "      <td>0.91</td>\n",
              "      <td>0.91</td>\n",
              "      <td>0.91</td>\n",
              "      <td>0.91</td>\n",
              "      <td>0.02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ExtraTreeClassifier</th>\n",
              "      <td>0.89</td>\n",
              "      <td>0.89</td>\n",
              "      <td>0.89</td>\n",
              "      <td>0.89</td>\n",
              "      <td>0.01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DummyClassifier</th>\n",
              "      <td>0.59</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.44</td>\n",
              "      <td>0.01</td>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Stochastic Gradient Descent Classifier model test"
      ],
      "metadata": {
        "id": "997t7PXqvNcY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import SGDClassifier\n",
        "from sklearn.metrics import accuracy_score, confusion_matrix, roc_auc_score, roc_curve\n",
        "\n",
        "sgd = SGDClassifier(loss='log', random_state=42)\n",
        "sgd.fit(X_train, y_train)\n",
        "y_pred = sgd.predict(X_test)\n",
        "\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "print(\"Accuracy:\", accuracy)\n",
        "\n",
        "cm = confusion_matrix(y_test, y_pred)\n",
        "print(\"Confusion Matrix:\\n\", cm)\n",
        "\n",
        "y_proba = sgd.predict_proba(X_test)[:, 1]\n",
        "roc_auc = roc_auc_score(y_test, y_proba)\n",
        "print(\"ROC AUC:\", roc_auc)\n",
        "\n",
        "fpr, tpr, thresholds = roc_curve(y_test, y_proba)\n",
        "plt.plot(fpr, tpr)\n",
        "plt.xlabel('False Positive Rate')\n",
        "plt.ylabel('True Positive Rate')\n",
        "plt.title('ROC Curve')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 559
        },
        "id": "NfBLrNxtTYIV",
        "outputId": "8d979539-570d-4ec4-82e3-553e777e35a0"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy: 0.9588235294117647\n",
            "Confusion Matrix:\n",
            " [[68  2]\n",
            " [ 5 95]]\n",
            "ROC AUC: 0.9874285714285714\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}