NN_Cancer_Mama.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/gabriela0821/Portafolio/blob/main/NN_Cancer_Mama.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Grupo:**\n",
        "\n",
        "Camilo Andres Gomez Castro\n",
        "\n",
        "Silvia Marcela Coy Lizarazo\n",
        "\n",
        "Gabriela Sofia Lara Moreno"
      ],
      "metadata": {
        "id": "ZGTkTWkzde-Q"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.neural_network import MLPClassifier\n",
        "from sklearn.datasets import make_classification\n",
        "from sklearn.model_selection import train_test_split\n",
        "from scipy import stats\n",
        "import numpy as np\n",
        "import pandas as pd"
      ],
      "metadata": {
        "id": "pzwB5s9hS-Tf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "archivocancerdemama = pd.read_csv('cancer_mama.csv')\n",
        "print(archivocancerdemama)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "57GPHfylTAGn",
        "outputId": "50a9df8f-5741-49dd-b668-cc3560a0b619"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "       842302  M  17.99  10.38   122.8    1001   0.1184   0.2776   0.3001  \\\n",
            "0      842517  M  20.57  17.77  132.90  1326.0  0.08474  0.07864  0.08690   \n",
            "1    84300903  M  19.69  21.25  130.00  1203.0  0.10960  0.15990  0.19740   \n",
            "2    84348301  M  11.42  20.38   77.58   386.1  0.14250  0.28390  0.24140   \n",
            "3    84358402  M  20.29  14.34  135.10  1297.0  0.10030  0.13280  0.19800   \n",
            "4      843786  M  12.45  15.70   82.57   477.1  0.12780  0.17000  0.15780   \n",
            "..        ... ..    ...    ...     ...     ...      ...      ...      ...   \n",
            "563    926424  M  21.56  22.39  142.00  1479.0  0.11100  0.11590  0.24390   \n",
            "564    926682  M  20.13  28.25  131.20  1261.0  0.09780  0.10340  0.14400   \n",
            "565    926954  M  16.60  28.08  108.30   858.1  0.08455  0.10230  0.09251   \n",
            "566    927241  M  20.60  29.33  140.10  1265.0  0.11780  0.27700  0.35140   \n",
            "567     92751  B   7.76  24.54   47.92   181.0  0.05263  0.04362  0.00000   \n",
            "\n",
            "      0.1471  ...   25.38  17.33   184.6    2019   0.1622   0.6656  0.7119  \\\n",
            "0    0.07017  ...  24.990  23.41  158.80  1956.0  0.12380  0.18660  0.2416   \n",
            "1    0.12790  ...  23.570  25.53  152.50  1709.0  0.14440  0.42450  0.4504   \n",
            "2    0.10520  ...  14.910  26.50   98.87   567.7  0.20980  0.86630  0.6869   \n",
            "3    0.10430  ...  22.540  16.67  152.20  1575.0  0.13740  0.20500  0.4000   \n",
            "4    0.08089  ...  15.470  23.75  103.40   741.6  0.17910  0.52490  0.5355   \n",
            "..       ...  ...     ...    ...     ...     ...      ...      ...     ...   \n",
            "563  0.13890  ...  25.450  26.40  166.10  2027.0  0.14100  0.21130  0.4107   \n",
            "564  0.09791  ...  23.690  38.25  155.00  1731.0  0.11660  0.19220  0.3215   \n",
            "565  0.05302  ...  18.980  34.12  126.70  1124.0  0.11390  0.30940  0.3403   \n",
            "566  0.15200  ...  25.740  39.42  184.60  1821.0  0.16500  0.86810  0.9387   \n",
            "567  0.00000  ...   9.456  30.37   59.16   268.6  0.08996  0.06444  0.0000   \n",
            "\n",
            "     0.2654  0.4601   0.1189  \n",
            "0    0.1860  0.2750  0.08902  \n",
            "1    0.2430  0.3613  0.08758  \n",
            "2    0.2575  0.6638  0.17300  \n",
            "3    0.1625  0.2364  0.07678  \n",
            "4    0.1741  0.3985  0.12440  \n",
            "..      ...     ...      ...  \n",
            "563  0.2216  0.2060  0.07115  \n",
            "564  0.1628  0.2572  0.06637  \n",
            "565  0.1418  0.2218  0.07820  \n",
            "566  0.2650  0.4087  0.12400  \n",
            "567  0.0000  0.2871  0.07039  \n",
            "\n",
            "[568 rows x 32 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "archivocancerdemama = archivocancerdemama.drop(['842302'], axis=1)\n",
        "print(archivocancerdemama)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oM9ohztlTVuf",
        "outputId": "0b6e4fb8-0532-4610-87af-a2af5716d062"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "     M  17.99  10.38   122.8    1001   0.1184   0.2776   0.3001   0.1471  \\\n",
            "0    M  20.57  17.77  132.90  1326.0  0.08474  0.07864  0.08690  0.07017   \n",
            "1    M  19.69  21.25  130.00  1203.0  0.10960  0.15990  0.19740  0.12790   \n",
            "2    M  11.42  20.38   77.58   386.1  0.14250  0.28390  0.24140  0.10520   \n",
            "3    M  20.29  14.34  135.10  1297.0  0.10030  0.13280  0.19800  0.10430   \n",
            "4    M  12.45  15.70   82.57   477.1  0.12780  0.17000  0.15780  0.08089   \n",
            "..  ..    ...    ...     ...     ...      ...      ...      ...      ...   \n",
            "563  M  21.56  22.39  142.00  1479.0  0.11100  0.11590  0.24390  0.13890   \n",
            "564  M  20.13  28.25  131.20  1261.0  0.09780  0.10340  0.14400  0.09791   \n",
            "565  M  16.60  28.08  108.30   858.1  0.08455  0.10230  0.09251  0.05302   \n",
            "566  M  20.60  29.33  140.10  1265.0  0.11780  0.27700  0.35140  0.15200   \n",
            "567  B   7.76  24.54   47.92   181.0  0.05263  0.04362  0.00000  0.00000   \n",
            "\n",
            "     0.2419  ...   25.38  17.33   184.6    2019   0.1622   0.6656  0.7119  \\\n",
            "0    0.1812  ...  24.990  23.41  158.80  1956.0  0.12380  0.18660  0.2416   \n",
            "1    0.2069  ...  23.570  25.53  152.50  1709.0  0.14440  0.42450  0.4504   \n",
            "2    0.2597  ...  14.910  26.50   98.87   567.7  0.20980  0.86630  0.6869   \n",
            "3    0.1809  ...  22.540  16.67  152.20  1575.0  0.13740  0.20500  0.4000   \n",
            "4    0.2087  ...  15.470  23.75  103.40   741.6  0.17910  0.52490  0.5355   \n",
            "..      ...  ...     ...    ...     ...     ...      ...      ...     ...   \n",
            "563  0.1726  ...  25.450  26.40  166.10  2027.0  0.14100  0.21130  0.4107   \n",
            "564  0.1752  ...  23.690  38.25  155.00  1731.0  0.11660  0.19220  0.3215   \n",
            "565  0.1590  ...  18.980  34.12  126.70  1124.0  0.11390  0.30940  0.3403   \n",
            "566  0.2397  ...  25.740  39.42  184.60  1821.0  0.16500  0.86810  0.9387   \n",
            "567  0.1587  ...   9.456  30.37   59.16   268.6  0.08996  0.06444  0.0000   \n",
            "\n",
            "     0.2654  0.4601   0.1189  \n",
            "0    0.1860  0.2750  0.08902  \n",
            "1    0.2430  0.3613  0.08758  \n",
            "2    0.2575  0.6638  0.17300  \n",
            "3    0.1625  0.2364  0.07678  \n",
            "4    0.1741  0.3985  0.12440  \n",
            "..      ...     ...      ...  \n",
            "563  0.2216  0.2060  0.07115  \n",
            "564  0.1628  0.2572  0.06637  \n",
            "565  0.1418  0.2218  0.07820  \n",
            "566  0.2650  0.4087  0.12400  \n",
            "567  0.0000  0.2871  0.07039  \n",
            "\n",
            "[568 rows x 31 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "archivor = archivocancerdemama.rename({\n",
        "'M': 'Resultado', \n",
        "'17.99': 'A',\n",
        "'10.38': 'B',\n",
        "'122.8': 'C', \n",
        "'1001': 'D', \n",
        "'0.1184': 'E', \n",
        "'0.2776': 'F', \n",
        "'0.3001': 'G', \n",
        "'0.1471': 'H', \n",
        "'0.2419': 'I', \n",
        "'25.38': 'J', \n",
        "'17.33': 'K', \n",
        "'184.6': 'M', \n",
        "'2019': 'N', \n",
        "'0.1622': 'Ñ', \n",
        "'0.6656': 'O', \n",
        "'0.7119': 'P', \n",
        "'0.2654': 'Q', \n",
        "'0.4601': 'R', \n",
        "'0.1189': 'S'\n",
        "}, axis=1)\n",
        "\n",
        "archivor=archivor.reindex(columns=[\"A\",\"B\",\"C\",\"D\",\"E\",\"F\",\"G\",\"H\",\"I\",\"J\",\"K\",\"M\",\"N\",\"Ñ\",\"O\",\"P\",\"Q\",\"R\",\"S\",\"Resultado\"])\n",
        "print(archivor)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YWCGYLwwTkxe",
        "outputId": "e3ba7635-872e-4662-bc4a-b3332d492149"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "         A      B       C       D        E        F        G        H       I  \\\n",
            "0    20.57  17.77  132.90  1326.0  0.08474  0.07864  0.08690  0.07017  0.1812   \n",
            "1    19.69  21.25  130.00  1203.0  0.10960  0.15990  0.19740  0.12790  0.2069   \n",
            "2    11.42  20.38   77.58   386.1  0.14250  0.28390  0.24140  0.10520  0.2597   \n",
            "3    20.29  14.34  135.10  1297.0  0.10030  0.13280  0.19800  0.10430  0.1809   \n",
            "4    12.45  15.70   82.57   477.1  0.12780  0.17000  0.15780  0.08089  0.2087   \n",
            "..     ...    ...     ...     ...      ...      ...      ...      ...     ...   \n",
            "563  21.56  22.39  142.00  1479.0  0.11100  0.11590  0.24390  0.13890  0.1726   \n",
            "564  20.13  28.25  131.20  1261.0  0.09780  0.10340  0.14400  0.09791  0.1752   \n",
            "565  16.60  28.08  108.30   858.1  0.08455  0.10230  0.09251  0.05302  0.1590   \n",
            "566  20.60  29.33  140.10  1265.0  0.11780  0.27700  0.35140  0.15200  0.2397   \n",
            "567   7.76  24.54   47.92   181.0  0.05263  0.04362  0.00000  0.00000  0.1587   \n",
            "\n",
            "          J      K       M       N        Ñ        O       P       Q       R  \\\n",
            "0    24.990  23.41  158.80  1956.0  0.12380  0.18660  0.2416  0.1860  0.2750   \n",
            "1    23.570  25.53  152.50  1709.0  0.14440  0.42450  0.4504  0.2430  0.3613   \n",
            "2    14.910  26.50   98.87   567.7  0.20980  0.86630  0.6869  0.2575  0.6638   \n",
            "3    22.540  16.67  152.20  1575.0  0.13740  0.20500  0.4000  0.1625  0.2364   \n",
            "4    15.470  23.75  103.40   741.6  0.17910  0.52490  0.5355  0.1741  0.3985   \n",
            "..      ...    ...     ...     ...      ...      ...     ...     ...     ...   \n",
            "563  25.450  26.40  166.10  2027.0  0.14100  0.21130  0.4107  0.2216  0.2060   \n",
            "564  23.690  38.25  155.00  1731.0  0.11660  0.19220  0.3215  0.1628  0.2572   \n",
            "565  18.980  34.12  126.70  1124.0  0.11390  0.30940  0.3403  0.1418  0.2218   \n",
            "566  25.740  39.42  184.60  1821.0  0.16500  0.86810  0.9387  0.2650  0.4087   \n",
            "567   9.456  30.37   59.16   268.6  0.08996  0.06444  0.0000  0.0000  0.2871   \n",
            "\n",
            "           S Resultado  \n",
            "0    0.08902         M  \n",
            "1    0.08758         M  \n",
            "2    0.17300         M  \n",
            "3    0.07678         M  \n",
            "4    0.12440         M  \n",
            "..       ...       ...  \n",
            "563  0.07115         M  \n",
            "564  0.06637         M  \n",
            "565  0.07820         M  \n",
            "566  0.12400         M  \n",
            "567  0.07039         B  \n",
            "\n",
            "[568 rows x 20 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "archivor['Resultado'] = archivor['Resultado'].replace(['M', 'B'], [1, 0])\n",
        "print(archivor)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RXiv8gwTUUqO",
        "outputId": "839de67a-247d-4d64-d62a-ea2ae919e259"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "         A      B       C       D        E        F        G        H       I  \\\n",
            "0    20.57  17.77  132.90  1326.0  0.08474  0.07864  0.08690  0.07017  0.1812   \n",
            "1    19.69  21.25  130.00  1203.0  0.10960  0.15990  0.19740  0.12790  0.2069   \n",
            "2    11.42  20.38   77.58   386.1  0.14250  0.28390  0.24140  0.10520  0.2597   \n",
            "3    20.29  14.34  135.10  1297.0  0.10030  0.13280  0.19800  0.10430  0.1809   \n",
            "4    12.45  15.70   82.57   477.1  0.12780  0.17000  0.15780  0.08089  0.2087   \n",
            "..     ...    ...     ...     ...      ...      ...      ...      ...     ...   \n",
            "563  21.56  22.39  142.00  1479.0  0.11100  0.11590  0.24390  0.13890  0.1726   \n",
            "564  20.13  28.25  131.20  1261.0  0.09780  0.10340  0.14400  0.09791  0.1752   \n",
            "565  16.60  28.08  108.30   858.1  0.08455  0.10230  0.09251  0.05302  0.1590   \n",
            "566  20.60  29.33  140.10  1265.0  0.11780  0.27700  0.35140  0.15200  0.2397   \n",
            "567   7.76  24.54   47.92   181.0  0.05263  0.04362  0.00000  0.00000  0.1587   \n",
            "\n",
            "          J      K       M       N        Ñ        O       P       Q       R  \\\n",
            "0    24.990  23.41  158.80  1956.0  0.12380  0.18660  0.2416  0.1860  0.2750   \n",
            "1    23.570  25.53  152.50  1709.0  0.14440  0.42450  0.4504  0.2430  0.3613   \n",
            "2    14.910  26.50   98.87   567.7  0.20980  0.86630  0.6869  0.2575  0.6638   \n",
            "3    22.540  16.67  152.20  1575.0  0.13740  0.20500  0.4000  0.1625  0.2364   \n",
            "4    15.470  23.75  103.40   741.6  0.17910  0.52490  0.5355  0.1741  0.3985   \n",
            "..      ...    ...     ...     ...      ...      ...     ...     ...     ...   \n",
            "563  25.450  26.40  166.10  2027.0  0.14100  0.21130  0.4107  0.2216  0.2060   \n",
            "564  23.690  38.25  155.00  1731.0  0.11660  0.19220  0.3215  0.1628  0.2572   \n",
            "565  18.980  34.12  126.70  1124.0  0.11390  0.30940  0.3403  0.1418  0.2218   \n",
            "566  25.740  39.42  184.60  1821.0  0.16500  0.86810  0.9387  0.2650  0.4087   \n",
            "567   9.456  30.37   59.16   268.6  0.08996  0.06444  0.0000  0.0000  0.2871   \n",
            "\n",
            "           S  Resultado  \n",
            "0    0.08902          1  \n",
            "1    0.08758          1  \n",
            "2    0.17300          1  \n",
            "3    0.07678          1  \n",
            "4    0.12440          1  \n",
            "..       ...        ...  \n",
            "563  0.07115          1  \n",
            "564  0.06637          1  \n",
            "565  0.07820          1  \n",
            "566  0.12400          1  \n",
            "567  0.07039          0  \n",
            "\n",
            "[568 rows x 20 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "archivor.boxplot(column=[\"A\",\"B\",\"C\",\"D\",\"E\",\"F\",\"G\",\"H\",\"I\",\"J\",\"K\",\"M\",\"N\",\"Ñ\",\"O\",\"P\",\"Q\",\"R\",\"S\",\"Resultado\"])\n",
        "print(archivor)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 959
        },
        "id": "0jNoaODnVG1Z",
        "outputId": "b9e77da9-c961-46d5-e78b-055a59ad7c07"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "         A      B       C       D        E        F        G        H       I  \\\n",
            "0    20.57  17.77  132.90  1326.0  0.08474  0.07864  0.08690  0.07017  0.1812   \n",
            "1    19.69  21.25  130.00  1203.0  0.10960  0.15990  0.19740  0.12790  0.2069   \n",
            "2    11.42  20.38   77.58   386.1  0.14250  0.28390  0.24140  0.10520  0.2597   \n",
            "3    20.29  14.34  135.10  1297.0  0.10030  0.13280  0.19800  0.10430  0.1809   \n",
            "4    12.45  15.70   82.57   477.1  0.12780  0.17000  0.15780  0.08089  0.2087   \n",
            "..     ...    ...     ...     ...      ...      ...      ...      ...     ...   \n",
            "563  21.56  22.39  142.00  1479.0  0.11100  0.11590  0.24390  0.13890  0.1726   \n",
            "564  20.13  28.25  131.20  1261.0  0.09780  0.10340  0.14400  0.09791  0.1752   \n",
            "565  16.60  28.08  108.30   858.1  0.08455  0.10230  0.09251  0.05302  0.1590   \n",
            "566  20.60  29.33  140.10  1265.0  0.11780  0.27700  0.35140  0.15200  0.2397   \n",
            "567   7.76  24.54   47.92   181.0  0.05263  0.04362  0.00000  0.00000  0.1587   \n",
            "\n",
            "          J      K       M       N        Ñ        O       P       Q       R  \\\n",
            "0    24.990  23.41  158.80  1956.0  0.12380  0.18660  0.2416  0.1860  0.2750   \n",
            "1    23.570  25.53  152.50  1709.0  0.14440  0.42450  0.4504  0.2430  0.3613   \n",
            "2    14.910  26.50   98.87   567.7  0.20980  0.86630  0.6869  0.2575  0.6638   \n",
            "3    22.540  16.67  152.20  1575.0  0.13740  0.20500  0.4000  0.1625  0.2364   \n",
            "4    15.470  23.75  103.40   741.6  0.17910  0.52490  0.5355  0.1741  0.3985   \n",
            "..      ...    ...     ...     ...      ...      ...     ...     ...     ...   \n",
            "563  25.450  26.40  166.10  2027.0  0.14100  0.21130  0.4107  0.2216  0.2060   \n",
            "564  23.690  38.25  155.00  1731.0  0.11660  0.19220  0.3215  0.1628  0.2572   \n",
            "565  18.980  34.12  126.70  1124.0  0.11390  0.30940  0.3403  0.1418  0.2218   \n",
            "566  25.740  39.42  184.60  1821.0  0.16500  0.86810  0.9387  0.2650  0.4087   \n",
            "567   9.456  30.37   59.16   268.6  0.08996  0.06444  0.0000  0.0000  0.2871   \n",
            "\n",
            "           S  Resultado  \n",
            "0    0.08902          1  \n",
            "1    0.08758          1  \n",
            "2    0.17300          1  \n",
            "3    0.07678          1  \n",
            "4    0.12440          1  \n",
            "..       ...        ...  \n",
            "563  0.07115          1  \n",
            "564  0.06637          1  \n",
            "565  0.07820          1  \n",
            "566  0.12400          1  \n",
            "567  0.07039          0  \n",
            "\n",
            "[568 rows x 20 columns]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "auxc = archivor.copy(deep=True)\n",
        "print(type(auxc))\n",
        "print(auxc.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7v1RE34CVdjK",
        "outputId": "54b9161a-a966-40a4-def6-6f277de538cf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "(568, 20)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "auxresul = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'M', 'N', 'Ñ', 'O', 'P', 'Q', 'R', 'S']\n",
        "for i in auxresul:\n",
        "  q1 = np.percentile(auxc[i], 30, interpolation  = 'midpoint')\n",
        "  q3 = np.percentile(auxc[i], 70, interpolation  = 'midpoint')\n",
        "  auxiq = q3-q1\n",
        "  upper = np.where(auxc[i] >= (q3 + (1.5 * auxiq)))\n",
        "  lower = np.where(auxc[i] <= (q1 - (1.5 * auxiq)))\n",
        "\n",
        "  for j in upper[0]:\n",
        "    #print(j)\n",
        "    auxc.drop(j, inplace = True)\n",
        "  \n",
        "  for j in lower[0]:\n",
        "    auxc.drop(j, inplace = True)\n",
        "  \n",
        "\n",
        "  auxc.reset_index(drop=True, inplace=True)\n",
        " \n",
        "\n",
        "auxc.boxplot(column=[\"A\",\"B\",\"C\",\"D\",\"E\",\"F\",\"G\",\"H\",\"I\",\"J\",\"K\",\"M\",\"N\",\"Ñ\",\"O\",\"P\",\"Q\",\"R\",\"S\",\"Resultado\"])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "GLnaY_8sXM7J",
        "outputId": "390d48d0-5288-409e-fccd-eaac3d8edd32"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f99b58ddb50>"
            ]
          },
          "metadata": {},
          "execution_count": 57
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "auxc.corr()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 741
        },
        "id": "Slm41mCZa_Sf",
        "outputId": "6717d334-0435-43d4-b8c6-c81a79e70b9f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  A         B         C         D         E         F  \\\n",
              "A          1.000000 -0.005609  0.997506  0.997047 -0.314701 -0.034383   \n",
              "B         -0.005609  1.000000 -0.000175  0.000193 -0.017037  0.093542   \n",
              "C          0.997506 -0.000175  1.000000  0.993164 -0.275663  0.032256   \n",
              "D          0.997047  0.000193  0.993164  1.000000 -0.339378 -0.060225   \n",
              "E         -0.314701 -0.017037 -0.275663 -0.339378  1.000000  0.658501   \n",
              "F         -0.034383  0.093542  0.032256 -0.060225  0.658501  1.000000   \n",
              "G          0.057518  0.083959  0.112482  0.045085  0.310586  0.728406   \n",
              "H          0.256044 -0.035453  0.300117  0.237475  0.490234  0.648420   \n",
              "I         -0.207418  0.121012 -0.182203 -0.219930  0.348351  0.368588   \n",
              "J          0.958169  0.034774  0.956526  0.957961 -0.305992 -0.021662   \n",
              "K         -0.018089  0.874765 -0.013672 -0.013054  0.004822  0.072893   \n",
              "M          0.951494  0.034100  0.957123  0.949612 -0.281194  0.064203   \n",
              "N          0.955249  0.038585  0.952372  0.960197 -0.328895 -0.045984   \n",
              "Ñ         -0.381840 -0.050286 -0.352759 -0.400032  0.779956  0.484360   \n",
              "O          0.080753  0.029171  0.136885  0.062588  0.267612  0.762338   \n",
              "P          0.106045  0.007738  0.150768  0.092691  0.146721  0.558215   \n",
              "Q          0.283954 -0.032740  0.320312  0.265920  0.294498  0.514461   \n",
              "R         -0.121438  0.040736 -0.104314 -0.135851  0.163069  0.208385   \n",
              "S         -0.356800 -0.006259 -0.320718 -0.364988  0.373380  0.517482   \n",
              "Resultado  0.044220  0.135325  0.042059  0.046754 -0.006709 -0.060153   \n",
              "\n",
              "                  G         H         I         J         K         M  \\\n",
              "A          0.057518  0.256044 -0.207418  0.958169 -0.018089  0.951494   \n",
              "B          0.083959 -0.035453  0.121012  0.034774  0.874765  0.034100   \n",
              "C          0.112482  0.300117 -0.182203  0.956526 -0.013672  0.957123   \n",
              "D          0.045085  0.237475 -0.219930  0.957961 -0.013054  0.949612   \n",
              "E          0.310586  0.490234  0.348351 -0.305992  0.004822 -0.281194   \n",
              "F          0.728406  0.648420  0.368588 -0.021662  0.072893  0.064203   \n",
              "G          1.000000  0.711139  0.279085  0.062945  0.072670  0.140887   \n",
              "H          0.711139  1.000000  0.260195  0.242453 -0.046194  0.288045   \n",
              "I          0.279085  0.260195  1.000000 -0.178156  0.124896 -0.141374   \n",
              "J          0.062945  0.242453 -0.178156  1.000000  0.063681  0.987660   \n",
              "K          0.072670 -0.046194  0.124896  0.063681  1.000000  0.064499   \n",
              "M          0.140887  0.288045 -0.141374  0.987660  0.064499  1.000000   \n",
              "N          0.051078  0.224132 -0.197668  0.996244  0.064813  0.982599   \n",
              "Ñ          0.244044  0.333795  0.300239 -0.320753  0.092240 -0.302363   \n",
              "O          0.660323  0.443135  0.258997  0.133022  0.129236  0.234640   \n",
              "P          0.833873  0.479268  0.225623  0.158243  0.120302  0.235500   \n",
              "Q          0.621625  0.778983  0.241137  0.332841  0.076230  0.379401   \n",
              "R          0.164990  0.061551  0.655785 -0.061549  0.177798 -0.021201   \n",
              "S          0.368708  0.136770  0.167581 -0.297564  0.094851 -0.231428   \n",
              "Resultado  0.012152  0.067316 -0.024387  0.093444  0.163170  0.078583   \n",
              "\n",
              "                  N         Ñ         O         P         Q         R  \\\n",
              "A          0.955249 -0.381840  0.080753  0.106045  0.283954 -0.121438   \n",
              "B          0.038585 -0.050286  0.029171  0.007738 -0.032740  0.040736   \n",
              "C          0.952372 -0.352759  0.136885  0.150768  0.320312 -0.104314   \n",
              "D          0.960197 -0.400032  0.062588  0.092691  0.265920 -0.135851   \n",
              "E         -0.328895  0.779956  0.267612  0.146721  0.294498  0.163069   \n",
              "F         -0.045984  0.484360  0.762338  0.558215  0.514461  0.208385   \n",
              "G          0.051078  0.244044  0.660323  0.833873  0.621625  0.164990   \n",
              "H          0.224132  0.333795  0.443135  0.479268  0.778983  0.061551   \n",
              "I         -0.197668  0.300239  0.258997  0.225623  0.241137  0.655785   \n",
              "J          0.996244 -0.320753  0.133022  0.158243  0.332841 -0.061549   \n",
              "K          0.064813  0.092240  0.129236  0.120302  0.076230  0.177798   \n",
              "M          0.982599 -0.302363  0.234640  0.235500  0.379401 -0.021201   \n",
              "N          1.000000 -0.339296  0.115449  0.146833  0.316313 -0.085085   \n",
              "Ñ         -0.339296  1.000000  0.376536  0.281195  0.386475  0.349219   \n",
              "O          0.115449  0.376536  1.000000  0.794508  0.622702  0.391533   \n",
              "P          0.146833  0.281195  0.794508  1.000000  0.691421  0.365073   \n",
              "Q          0.316313  0.386475  0.622702  0.691421  1.000000  0.301155   \n",
              "R         -0.085085  0.349219  0.391533  0.365073  0.301155  1.000000   \n",
              "S         -0.307878  0.549087  0.629549  0.463358  0.290807  0.310211   \n",
              "Resultado  0.101948 -0.012935 -0.023559  0.058903  0.121170 -0.024059   \n",
              "\n",
              "                  S  Resultado  \n",
              "A         -0.356800   0.044220  \n",
              "B         -0.006259   0.135325  \n",
              "C         -0.320718   0.042059  \n",
              "D         -0.364988   0.046754  \n",
              "E          0.373380  -0.006709  \n",
              "F          0.517482  -0.060153  \n",
              "G          0.368708   0.012152  \n",
              "H          0.136770   0.067316  \n",
              "I          0.167581  -0.024387  \n",
              "J         -0.297564   0.093444  \n",
              "K          0.094851   0.163170  \n",
              "M         -0.231428   0.078583  \n",
              "N         -0.307878   0.101948  \n",
              "Ñ          0.549087  -0.012935  \n",
              "O          0.629549  -0.023559  \n",
              "P          0.463358   0.058903  \n",
              "Q          0.290807   0.121170  \n",
              "R          0.310211  -0.024059  \n",
              "S          1.000000  -0.026629  \n",
              "Resultado -0.026629   1.000000  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-56340745-e4d1-419e-a420-6715bc876012\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>A</th>\n",
              "      <th>B</th>\n",
              "      <th>C</th>\n",
              "      <th>D</th>\n",
              "      <th>E</th>\n",
              "      <th>F</th>\n",
              "      <th>G</th>\n",
              "      <th>H</th>\n",
              "      <th>I</th>\n",
              "      <th>J</th>\n",
              "      <th>K</th>\n",
              "      <th>M</th>\n",
              "      <th>N</th>\n",
              "      <th>Ñ</th>\n",
              "      <th>O</th>\n",
              "      <th>P</th>\n",
              "      <th>Q</th>\n",
              "      <th>R</th>\n",
              "      <th>S</th>\n",
              "      <th>Resultado</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>A</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.005609</td>\n",
              "      <td>0.997506</td>\n",
              "      <td>0.997047</td>\n",
              "      <td>-0.314701</td>\n",
              "      <td>-0.034383</td>\n",
              "      <td>0.057518</td>\n",
              "      <td>0.256044</td>\n",
              "      <td>-0.207418</td>\n",
              "      <td>0.958169</td>\n",
              "      <td>-0.018089</td>\n",
              "      <td>0.951494</td>\n",
              "      <td>0.955249</td>\n",
              "      <td>-0.381840</td>\n",
              "      <td>0.080753</td>\n",
              "      <td>0.106045</td>\n",
              "      <td>0.283954</td>\n",
              "      <td>-0.121438</td>\n",
              "      <td>-0.356800</td>\n",
              "      <td>0.044220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>B</th>\n",
              "      <td>-0.005609</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000175</td>\n",
              "      <td>0.000193</td>\n",
              "      <td>-0.017037</td>\n",
              "      <td>0.093542</td>\n",
              "      <td>0.083959</td>\n",
              "      <td>-0.035453</td>\n",
              "      <td>0.121012</td>\n",
              "      <td>0.034774</td>\n",
              "      <td>0.874765</td>\n",
              "      <td>0.034100</td>\n",
              "      <td>0.038585</td>\n",
              "      <td>-0.050286</td>\n",
              "      <td>0.029171</td>\n",
              "      <td>0.007738</td>\n",
              "      <td>-0.032740</td>\n",
              "      <td>0.040736</td>\n",
              "      <td>-0.006259</td>\n",
              "      <td>0.135325</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>C</th>\n",
              "      <td>0.997506</td>\n",
              "      <td>-0.000175</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.993164</td>\n",
              "      <td>-0.275663</td>\n",
              "      <td>0.032256</td>\n",
              "      <td>0.112482</td>\n",
              "      <td>0.300117</td>\n",
              "      <td>-0.182203</td>\n",
              "      <td>0.956526</td>\n",
              "      <td>-0.013672</td>\n",
              "      <td>0.957123</td>\n",
              "      <td>0.952372</td>\n",
              "      <td>-0.352759</td>\n",
              "      <td>0.136885</td>\n",
              "      <td>0.150768</td>\n",
              "      <td>0.320312</td>\n",
              "      <td>-0.104314</td>\n",
              "      <td>-0.320718</td>\n",
              "      <td>0.042059</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>D</th>\n",
              "      <td>0.997047</td>\n",
              "      <td>0.000193</td>\n",
              "      <td>0.993164</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.339378</td>\n",
              "      <td>-0.060225</td>\n",
              "      <td>0.045085</td>\n",
              "      <td>0.237475</td>\n",
              "      <td>-0.219930</td>\n",
              "      <td>0.957961</td>\n",
              "      <td>-0.013054</td>\n",
              "      <td>0.949612</td>\n",
              "      <td>0.960197</td>\n",
              "      <td>-0.400032</td>\n",
              "      <td>0.062588</td>\n",
              "      <td>0.092691</td>\n",
              "      <td>0.265920</td>\n",
              "      <td>-0.135851</td>\n",
              "      <td>-0.364988</td>\n",
              "      <td>0.046754</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>E</th>\n",
              "      <td>-0.314701</td>\n",
              "      <td>-0.017037</td>\n",
              "      <td>-0.275663</td>\n",
              "      <td>-0.339378</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.658501</td>\n",
              "      <td>0.310586</td>\n",
              "      <td>0.490234</td>\n",
              "      <td>0.348351</td>\n",
              "      <td>-0.305992</td>\n",
              "      <td>0.004822</td>\n",
              "      <td>-0.281194</td>\n",
              "      <td>-0.328895</td>\n",
              "      <td>0.779956</td>\n",
              "      <td>0.267612</td>\n",
              "      <td>0.146721</td>\n",
              "      <td>0.294498</td>\n",
              "      <td>0.163069</td>\n",
              "      <td>0.373380</td>\n",
              "      <td>-0.006709</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>F</th>\n",
              "      <td>-0.034383</td>\n",
              "      <td>0.093542</td>\n",
              "      <td>0.032256</td>\n",
              "      <td>-0.060225</td>\n",
              "      <td>0.658501</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.728406</td>\n",
              "      <td>0.648420</td>\n",
              "      <td>0.368588</td>\n",
              "      <td>-0.021662</td>\n",
              "      <td>0.072893</td>\n",
              "      <td>0.064203</td>\n",
              "      <td>-0.045984</td>\n",
              "      <td>0.484360</td>\n",
              "      <td>0.762338</td>\n",
              "      <td>0.558215</td>\n",
              "      <td>0.514461</td>\n",
              "      <td>0.208385</td>\n",
              "      <td>0.517482</td>\n",
              "      <td>-0.060153</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>G</th>\n",
              "      <td>0.057518</td>\n",
              "      <td>0.083959</td>\n",
              "      <td>0.112482</td>\n",
              "      <td>0.045085</td>\n",
              "      <td>0.310586</td>\n",
              "      <td>0.728406</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.711139</td>\n",
              "      <td>0.279085</td>\n",
              "      <td>0.062945</td>\n",
              "      <td>0.072670</td>\n",
              "      <td>0.140887</td>\n",
              "      <td>0.051078</td>\n",
              "      <td>0.244044</td>\n",
              "      <td>0.660323</td>\n",
              "      <td>0.833873</td>\n",
              "      <td>0.621625</td>\n",
              "      <td>0.164990</td>\n",
              "      <td>0.368708</td>\n",
              "      <td>0.012152</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>H</th>\n",
              "      <td>0.256044</td>\n",
              "      <td>-0.035453</td>\n",
              "      <td>0.300117</td>\n",
              "      <td>0.237475</td>\n",
              "      <td>0.490234</td>\n",
              "      <td>0.648420</td>\n",
              "      <td>0.711139</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.260195</td>\n",
              "      <td>0.242453</td>\n",
              "      <td>-0.046194</td>\n",
              "      <td>0.288045</td>\n",
              "      <td>0.224132</td>\n",
              "      <td>0.333795</td>\n",
              "      <td>0.443135</td>\n",
              "      <td>0.479268</td>\n",
              "      <td>0.778983</td>\n",
              "      <td>0.061551</td>\n",
              "      <td>0.136770</td>\n",
              "      <td>0.067316</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>I</th>\n",
              "      <td>-0.207418</td>\n",
              "      <td>0.121012</td>\n",
              "      <td>-0.182203</td>\n",
              "      <td>-0.219930</td>\n",
              "      <td>0.348351</td>\n",
              "      <td>0.368588</td>\n",
              "      <td>0.279085</td>\n",
              "      <td>0.260195</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.178156</td>\n",
              "      <td>0.124896</td>\n",
              "      <td>-0.141374</td>\n",
              "      <td>-0.197668</td>\n",
              "      <td>0.300239</td>\n",
              "      <td>0.258997</td>\n",
              "      <td>0.225623</td>\n",
              "      <td>0.241137</td>\n",
              "      <td>0.655785</td>\n",
              "      <td>0.167581</td>\n",
              "      <td>-0.024387</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>J</th>\n",
              "      <td>0.958169</td>\n",
              "      <td>0.034774</td>\n",
              "      <td>0.956526</td>\n",
              "      <td>0.957961</td>\n",
              "      <td>-0.305992</td>\n",
              "      <td>-0.021662</td>\n",
              "      <td>0.062945</td>\n",
              "      <td>0.242453</td>\n",
              "      <td>-0.178156</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.063681</td>\n",
              "      <td>0.987660</td>\n",
              "      <td>0.996244</td>\n",
              "      <td>-0.320753</td>\n",
              "      <td>0.133022</td>\n",
              "      <td>0.158243</td>\n",
              "      <td>0.332841</td>\n",
              "      <td>-0.061549</td>\n",
              "      <td>-0.297564</td>\n",
              "      <td>0.093444</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>K</th>\n",
              "      <td>-0.018089</td>\n",
              "      <td>0.874765</td>\n",
              "      <td>-0.013672</td>\n",
              "      <td>-0.013054</td>\n",
              "      <td>0.004822</td>\n",
              "      <td>0.072893</td>\n",
              "      <td>0.072670</td>\n",
              "      <td>-0.046194</td>\n",
              "      <td>0.124896</td>\n",
              "      <td>0.063681</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.064499</td>\n",
              "      <td>0.064813</td>\n",
              "      <td>0.092240</td>\n",
              "      <td>0.129236</td>\n",
              "      <td>0.120302</td>\n",
              "      <td>0.076230</td>\n",
              "      <td>0.177798</td>\n",
              "      <td>0.094851</td>\n",
              "      <td>0.163170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>M</th>\n",
              "      <td>0.951494</td>\n",
              "      <td>0.034100</td>\n",
              "      <td>0.957123</td>\n",
              "      <td>0.949612</td>\n",
              "      <td>-0.281194</td>\n",
              "      <td>0.064203</td>\n",
              "      <td>0.140887</td>\n",
              "      <td>0.288045</td>\n",
              "      <td>-0.141374</td>\n",
              "      <td>0.987660</td>\n",
              "      <td>0.064499</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.982599</td>\n",
              "      <td>-0.302363</td>\n",
              "      <td>0.234640</td>\n",
              "      <td>0.235500</td>\n",
              "      <td>0.379401</td>\n",
              "      <td>-0.021201</td>\n",
              "      <td>-0.231428</td>\n",
              "      <td>0.078583</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>N</th>\n",
              "      <td>0.955249</td>\n",
              "      <td>0.038585</td>\n",
              "      <td>0.952372</td>\n",
              "      <td>0.960197</td>\n",
              "      <td>-0.328895</td>\n",
              "      <td>-0.045984</td>\n",
              "      <td>0.051078</td>\n",
              "      <td>0.224132</td>\n",
              "      <td>-0.197668</td>\n",
              "      <td>0.996244</td>\n",
              "      <td>0.064813</td>\n",
              "      <td>0.982599</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.339296</td>\n",
              "      <td>0.115449</td>\n",
              "      <td>0.146833</td>\n",
              "      <td>0.316313</td>\n",
              "      <td>-0.085085</td>\n",
              "      <td>-0.307878</td>\n",
              "      <td>0.101948</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ñ</th>\n",
              "      <td>-0.381840</td>\n",
              "      <td>-0.050286</td>\n",
              "      <td>-0.352759</td>\n",
              "      <td>-0.400032</td>\n",
              "      <td>0.779956</td>\n",
              "      <td>0.484360</td>\n",
              "      <td>0.244044</td>\n",
              "      <td>0.333795</td>\n",
              "      <td>0.300239</td>\n",
              "      <td>-0.320753</td>\n",
              "      <td>0.092240</td>\n",
              "      <td>-0.302363</td>\n",
              "      <td>-0.339296</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.376536</td>\n",
              "      <td>0.281195</td>\n",
              "      <td>0.386475</td>\n",
              "      <td>0.349219</td>\n",
              "      <td>0.549087</td>\n",
              "      <td>-0.012935</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>O</th>\n",
              "      <td>0.080753</td>\n",
              "      <td>0.029171</td>\n",
              "      <td>0.136885</td>\n",
              "      <td>0.062588</td>\n",
              "      <td>0.267612</td>\n",
              "      <td>0.762338</td>\n",
              "      <td>0.660323</td>\n",
              "      <td>0.443135</td>\n",
              "      <td>0.258997</td>\n",
              "      <td>0.133022</td>\n",
              "      <td>0.129236</td>\n",
              "      <td>0.234640</td>\n",
              "      <td>0.115449</td>\n",
              "      <td>0.376536</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.794508</td>\n",
              "      <td>0.622702</td>\n",
              "      <td>0.391533</td>\n",
              "      <td>0.629549</td>\n",
              "      <td>-0.023559</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>P</th>\n",
              "      <td>0.106045</td>\n",
              "      <td>0.007738</td>\n",
              "      <td>0.150768</td>\n",
              "      <td>0.092691</td>\n",
              "      <td>0.146721</td>\n",
              "      <td>0.558215</td>\n",
              "      <td>0.833873</td>\n",
              "      <td>0.479268</td>\n",
              "      <td>0.225623</td>\n",
              "      <td>0.158243</td>\n",
              "      <td>0.120302</td>\n",
              "      <td>0.235500</td>\n",
              "      <td>0.146833</td>\n",
              "      <td>0.281195</td>\n",
              "      <td>0.794508</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.691421</td>\n",
              "      <td>0.365073</td>\n",
              "      <td>0.463358</td>\n",
              "      <td>0.058903</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Q</th>\n",
              "      <td>0.283954</td>\n",
              "      <td>-0.032740</td>\n",
              "      <td>0.320312</td>\n",
              "      <td>0.265920</td>\n",
              "      <td>0.294498</td>\n",
              "      <td>0.514461</td>\n",
              "      <td>0.621625</td>\n",
              "      <td>0.778983</td>\n",
              "      <td>0.241137</td>\n",
              "      <td>0.332841</td>\n",
              "      <td>0.076230</td>\n",
              "      <td>0.379401</td>\n",
              "      <td>0.316313</td>\n",
              "      <td>0.386475</td>\n",
              "      <td>0.622702</td>\n",
              "      <td>0.691421</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.301155</td>\n",
              "      <td>0.290807</td>\n",
              "      <td>0.121170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>R</th>\n",
              "      <td>-0.121438</td>\n",
              "      <td>0.040736</td>\n",
              "      <td>-0.104314</td>\n",
              "      <td>-0.135851</td>\n",
              "      <td>0.163069</td>\n",
              "      <td>0.208385</td>\n",
              "      <td>0.164990</td>\n",
              "      <td>0.061551</td>\n",
              "      <td>0.655785</td>\n",
              "      <td>-0.061549</td>\n",
              "      <td>0.177798</td>\n",
              "      <td>-0.021201</td>\n",
              "      <td>-0.085085</td>\n",
              "      <td>0.349219</td>\n",
              "      <td>0.391533</td>\n",
              "      <td>0.365073</td>\n",
              "      <td>0.301155</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.310211</td>\n",
              "      <td>-0.024059</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>S</th>\n",
              "      <td>-0.356800</td>\n",
              "      <td>-0.006259</td>\n",
              "      <td>-0.320718</td>\n",
              "      <td>-0.364988</td>\n",
              "      <td>0.373380</td>\n",
              "      <td>0.517482</td>\n",
              "      <td>0.368708</td>\n",
              "      <td>0.136770</td>\n",
              "      <td>0.167581</td>\n",
              "      <td>-0.297564</td>\n",
              "      <td>0.094851</td>\n",
              "      <td>-0.231428</td>\n",
              "      <td>-0.307878</td>\n",
              "      <td>0.549087</td>\n",
              "      <td>0.629549</td>\n",
              "      <td>0.463358</td>\n",
              "      <td>0.290807</td>\n",
              "      <td>0.310211</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.026629</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Resultado</th>\n",
              "      <td>0.044220</td>\n",
              "      <td>0.135325</td>\n",
              "      <td>0.042059</td>\n",
              "      <td>0.046754</td>\n",
              "      <td>-0.006709</td>\n",
              "      <td>-0.060153</td>\n",
              "      <td>0.012152</td>\n",
              "      <td>0.067316</td>\n",
              "      <td>-0.024387</td>\n",
              "      <td>0.093444</td>\n",
              "      <td>0.163170</td>\n",
              "      <td>0.078583</td>\n",
              "      <td>0.101948</td>\n",
              "      <td>-0.012935</td>\n",
              "      <td>-0.023559</td>\n",
              "      <td>0.058903</td>\n",
              "      <td>0.121170</td>\n",
              "      <td>-0.024059</td>\n",
              "      <td>-0.026629</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
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              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      fill: #FFFFFF;\n",
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              "\n",
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              "        const buttonEl =\n",
              "          document.querySelector('#df-56340745-e4d1-419e-a420-6715bc876012 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-56340745-e4d1-419e-a420-6715bc876012');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x=auxc[[ \"A\",\"B\",\"C\",\"D\",\"E\",\"F\",\"G\",\"H\",\"I\",\"J\",\"K\",\"M\",\"N\",\"Ñ\",\"O\",\"P\",\"Q\",\"R\",\"S\"]]\n",
        "y=auxc[[ \"Resultado\"]]\n",
        "X_train, X_test, y_train, y_test = train_test_split(x, y,train_size=0.6)\n",
        "print(len(X_train))\n",
        "clf = MLPClassifier(max_iter=200).fit(X_train, y_train)\n",
        "clf.score(X_test, y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bX613NRTbGTD",
        "outputId": "ba363f7f-8cfd-48e7-a94d-ab06d0174c1a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "125\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:1109: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
            "  y = column_or_1d(y, warn=True)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9761904761904762"
            ]
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}