diff --git "a/Notebooks/PerceptronClasificadorCancerEs\303\263fago.ipynb" "b/Notebooks/PerceptronClasificadorCancerEs\303\263fago.ipynb"
index d6040cf..8e855a5 100644
--- "a/Notebooks/PerceptronClasificadorCancerEs\303\263fago.ipynb"
+++ "b/Notebooks/PerceptronClasificadorCancerEs\303\263fago.ipynb"
@@ -34,7 +34,7 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/AnIsAsPe/ClassificadorCancerEsofago/blob/master/Notebooks/PerceptronClasificadorCancerEs%C3%B3fago.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/NayelySaldivar/ClasificadorCancerEsofago/blob/master/Notebooks/PerceptronClasificadorCancerEs%C3%B3fago.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
@@ -93,6 +93,30 @@
       "execution_count": 1,
       "outputs": []
     },
+    {
+      "cell_type": "code",
+      "source": [
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')"
+      ],
+      "metadata": {
+        "id": "pw0Up5w3Xnxp",
+        "outputId": "354e04e0-8b9e-4673-ea6a-f4dbbcb453fd",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Mounted at /content/drive\n"
+          ]
+        }
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -114,15 +138,169 @@
     {
       "cell_type": "code",
       "metadata": {
-        "id": "fudeTyr-deg8"
+        "id": "fudeTyr-deg8",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 0
+        },
+        "outputId": "29b4c4ed-4d94-4e55-ac4e-245624ee3c34"
       },
       "source": [
         "#Leemos los datos\n",
         "\n",
-        "datos = pd.read_csv(\"https://raw.githubusercontent.com/AnIsAsPe/ClassificadorCancerEsofago/master/Datos/ClasesImagenes.csv\", usecols=[1,2])\n"
+        "datos = pd.read_csv(\"https://raw.githubusercontent.com/AnIsAsPe/ClassificadorCancerEsofago/master/Datos/ClasesImagenes.csv\", usecols=[1,2])\n",
+        "datos.head()"
       ],
-      "execution_count": 2,
-      "outputs": []
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "  image_filename  class_number\n",
+              "0     im_4_0.png             0\n",
+              "1    im_21_0.png             0\n",
+              "2     im_9_0.png             0\n",
+              "3     im_8_0.png             0\n",
+              "4    im_15_0.png             0"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-bd88e32c-6145-4006-a04e-cfc30e307c69\">\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>image_filename</th>\n",
+              "      <th>class_number</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>im_4_0.png</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>im_21_0.png</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>im_9_0.png</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>im_8_0.png</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>im_15_0.png</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bd88e32c-6145-4006-a04e-cfc30e307c69')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </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",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\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",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-bd88e32c-6145-4006-a04e-cfc30e307c69 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-bd88e32c-6145-4006-a04e-cfc30e307c69');\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",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 3
+        }
+      ]
     },
     {
       "cell_type": "code",
@@ -131,12 +309,12 @@
       ],
       "metadata": {
         "id": "xWEA70XoOjLt",
-        "outputId": "a2784806-9cd7-4e69-8a0d-20b05f888544",
+        "outputId": "49f361d3-41e5-4ad3-b146-a5c3c026a64f",
         "colab": {
           "base_uri": "https://localhost:8080/"
         }
       },
-      "execution_count": 3,
+      "execution_count": 4,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -146,7 +324,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 3
+          "execution_count": 4
         }
       ]
     },
@@ -156,21 +334,29 @@
         "id": "aESlr9b5deg_",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 206
+          "height": 0
         },
-        "outputId": "1d5eabee-81b6-4300-a17c-60c146e1aa52"
+        "outputId": "1a8616f2-eb5d-4f55-ee72-296dc6b66037"
       },
       "source": [
         "datos.head()  #muestra los primeros cinco registros"
       ],
-      "execution_count": 4,
+      "execution_count": 5,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
+            "text/plain": [
+              "  image_filename  class_number\n",
+              "0     im_4_0.png             0\n",
+              "1    im_21_0.png             0\n",
+              "2     im_9_0.png             0\n",
+              "3     im_8_0.png             0\n",
+              "4    im_15_0.png             0"
+            ],
             "text/html": [
               "\n",
-              "  <div id=\"df-8fd1a679-c56f-4fdd-847b-24e715bd71d5\">\n",
+              "  <div id=\"df-4105ee96-8841-4192-a57a-2de272c4b17a\">\n",
               "    <div class=\"colab-df-container\">\n",
               "      <div>\n",
               "<style scoped>\n",
@@ -223,7 +409,7 @@
               "  </tbody>\n",
               "</table>\n",
               "</div>\n",
-              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8fd1a679-c56f-4fdd-847b-24e715bd71d5')\"\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4105ee96-8841-4192-a57a-2de272c4b17a')\"\n",
               "              title=\"Convert this dataframe to an interactive table.\"\n",
               "              style=\"display:none;\">\n",
               "        \n",
@@ -274,12 +460,12 @@
               "\n",
               "      <script>\n",
               "        const buttonEl =\n",
-              "          document.querySelector('#df-8fd1a679-c56f-4fdd-847b-24e715bd71d5 button.colab-df-convert');\n",
+              "          document.querySelector('#df-4105ee96-8841-4192-a57a-2de272c4b17a 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-8fd1a679-c56f-4fdd-847b-24e715bd71d5');\n",
+              "          const element = document.querySelector('#df-4105ee96-8841-4192-a57a-2de272c4b17a');\n",
               "          const dataTable =\n",
               "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                     [key], {});\n",
@@ -299,18 +485,10 @@
               "    </div>\n",
               "  </div>\n",
               "  "
-            ],
-            "text/plain": [
-              "  image_filename  class_number\n",
-              "0     im_4_0.png             0\n",
-              "1    im_21_0.png             0\n",
-              "2     im_9_0.png             0\n",
-              "3     im_8_0.png             0\n",
-              "4    im_15_0.png             0"
             ]
           },
           "metadata": {},
-          "execution_count": 4
+          "execution_count": 5
         }
       ]
     },
@@ -321,14 +499,13 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "f18cfe62-4d2c-4b6b-df9e-c73c20591bbc"
+        "outputId": "c5bf6992-ba45-4ca2-fc81-74e10e94c140"
       },
       "source": [
         "#¿Con cuántas imagenes vamos a trabajar?\n",
-        "\n",
         "datos.shape[0]"
       ],
-      "execution_count": 5,
+      "execution_count": 6,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -338,7 +515,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 5
+          "execution_count": 6
         }
       ]
     },
@@ -349,14 +526,13 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "4c6d651e-04d6-449d-f6a6-15d4fac6f5fa"
+        "outputId": "dce4770c-1c0d-476c-eb10-e607b0e622d6"
       },
       "source": [
         "#¿cuántas imagenes tenemos de cada clase?\n",
-        "\n",
         "datos['class_number'].value_counts(sort=False)  "
       ],
-      "execution_count": 6,
+      "execution_count": 7,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -368,7 +544,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 6
+          "execution_count": 7
         }
       ]
     },
@@ -387,9 +563,9 @@
         "id": "7ZlgSWF1dehH"
       },
       "source": [
-        "Y = datos['class_number']  #Guardamos las etiquetas de las imagenes como serie de pandas\n"
+        "Y = datos['class_number']  # Guardamos las etiquetas de las imagenes como serie de pandas"
       ],
-      "execution_count": 7,
+      "execution_count": 8,
       "outputs": []
     },
     {
@@ -413,14 +589,27 @@
     {
       "cell_type": "code",
       "metadata": {
-        "id": "HVL29gtw8i6H"
+        "id": "HVL29gtw8i6H",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "447c159f-d7e6-4536-8043-8b7d3c8d6bc9"
       },
       "source": [
-        "\n",
-        "# !unzip -u \"/content/drive/MyDrive/Datos/DatosCancer/CarpetaImagenes.zip\" -d \"/content/drive/MyDrive/Datos/DatosCancer/Unzip/\"\n"
+        "!unzip -u \"/content/drive/MyDrive/CarpetaImagenes.zip\" -d \"/content/drive/MyDrive/DatosCancer/Unzip/\"\n",
+        "# Para descomprimir el zip :o\n",
+        "# Debemos tener creadas y bien ubicadas las carpetas"
       ],
-      "execution_count": 8,
-      "outputs": []
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Archive:  /content/drive/MyDrive/CarpetaImagenes.zip\n"
+          ]
+        }
+      ]
     },
     {
       "cell_type": "code",
@@ -429,12 +618,12 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "35af35b9-86ae-445e-bd57-40777b0bad35"
+        "outputId": "61a034f2-e718-443c-ffc6-892f6cd3fa1d"
       },
       "source": [
         "datos['image_filename'].head()"
       ],
-      "execution_count": 9,
+      "execution_count": 10,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -449,7 +638,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 9
+          "execution_count": 10
         }
       ]
     },
@@ -467,15 +656,43 @@
       "source": [
         "nombre_archivo = 'im_4_0.png'\n",
         "\n",
-        "ruta = '/content/drive/MyDrive/Datos/DatosCancer/Unzip/'\n",
+        "ruta = '/content/drive/MyDrive/DatosCancer/Unzip/'\n",
         "\n",
-        "imagen = io.imread(ruta  + nombre_archivo, as_gray=True)"
+        "imagen = io.imread(ruta  + nombre_archivo, as_gray=True)\n",
+        "imagen"
       ],
       "metadata": {
-        "id": "4mbwuW66xGsQ"
+        "id": "4mbwuW66xGsQ",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "2d8bb70e-6a81-4f85-839f-2d52848239fb"
       },
-      "execution_count": 10,
-      "outputs": []
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "array([[0.08322275, 0.08322275, 0.08322275, ..., 0.08322275, 0.08322275,\n",
+              "        0.08322275],\n",
+              "       [0.08322275, 0.08322275, 0.08322275, ..., 0.08322275, 0.08322275,\n",
+              "        0.08322275],\n",
+              "       [0.08322275, 0.08322275, 0.08322275, ..., 0.08322275, 0.08322275,\n",
+              "        0.08322275],\n",
+              "       ...,\n",
+              "       [0.08322275, 0.08322275, 0.08322275, ..., 0.08322275, 0.08322275,\n",
+              "        0.08322275],\n",
+              "       [0.08322275, 0.08322275, 0.08322275, ..., 0.08322275, 0.08322275,\n",
+              "        0.08322275],\n",
+              "       [0.08322275, 0.08322275, 0.08322275, ..., 0.08322275, 0.08322275,\n",
+              "        0.08322275]])"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 11
+        }
+      ]
     },
     {
       "cell_type": "code",
@@ -485,12 +702,12 @@
       ],
       "metadata": {
         "id": "lBm00IMPxoIK",
-        "outputId": "b16feed5-6d18-4e93-a316-45338fe05eb1",
+        "outputId": "fdedcf21-22c7-4520-fd56-7f89723487be",
         "colab": {
           "base_uri": "https://localhost:8080/"
         }
       },
-      "execution_count": 11,
+      "execution_count": 12,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -500,7 +717,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 11
+          "execution_count": 12
         }
       ]
     },
@@ -512,12 +729,12 @@
       ],
       "metadata": {
         "id": "aLRzjGRmxwgL",
-        "outputId": "b8f996a2-f6ae-4cea-a6b3-2dda8e889582",
+        "outputId": "cfab7fcc-509e-4d2a-c0a8-267ca42add60",
         "colab": {
           "base_uri": "https://localhost:8080/"
         }
       },
-      "execution_count": 12,
+      "execution_count": 13,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -527,71 +744,43 @@
             ]
           },
           "metadata": {},
-          "execution_count": 12
+          "execution_count": 13
         }
       ]
     },
     {
       "cell_type": "code",
       "source": [
-        "imagen[180, 170:190]"
+        "# imagen[180, 170:190]"
       ],
       "metadata": {
-        "id": "2v6dynPsRE4i",
-        "outputId": "7842aa15-5c68-4132-fe43-59232f168926",
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        }
+        "id": "2v6dynPsRE4i"
       },
-      "execution_count": 13,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "array([0.22525176, 0.22525176, 0.22525176, 0.22525176, 0.21964078,\n",
-              "       0.21738588, 0.21738588, 0.21738588, 0.21738588, 0.21738588,\n",
-              "       0.21738588, 0.21738588, 0.21738588, 0.21429765, 0.21429765,\n",
-              "       0.21964078, 0.23142824, 0.23929412, 0.23142824, 0.23142824])"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 13
-        }
-      ]
+      "execution_count": 14,
+      "outputs": []
     },
     {
       "cell_type": "code",
       "source": [
-        "io.imshow(imagen) "
+        "io.imshow(imagen);"
       ],
       "metadata": {
         "id": "De6KKXFtylaE",
-        "outputId": "fe05f5b1-ec83-461f-bf90-4f1690c16e53",
+        "outputId": "d461afd0-fb30-4331-c457-4588b8e8bfcf",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 315
+          "height": 0
         }
       },
-      "execution_count": 14,
+      "execution_count": 15,
       "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "<matplotlib.image.AxesImage at 0x7f4af8f930d0>"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 14
-        },
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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\n",
             "text/plain": [
               "<Figure size 432x288 with 1 Axes>"
-            ]
+            ],
+            "image/png": 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\n"
           },
           "metadata": {
             "needs_background": "light"
@@ -599,6 +788,15 @@
         }
       ]
     },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "**Ahora vamos a hacer lo mismo para todas las imagenes**"
+      ],
+      "metadata": {
+        "id": "cDJ3LYa_0amf"
+      }
+    },
     {
       "cell_type": "code",
       "source": [
@@ -606,12 +804,12 @@
       ],
       "metadata": {
         "id": "vTJNnOXRRpMz",
-        "outputId": "c667de5e-28c3-493e-f312-24a458d987d0",
+        "outputId": "e1438442-62df-4c33-b9d4-96e682bb19a5",
         "colab": {
           "base_uri": "https://localhost:8080/"
         }
       },
-      "execution_count": 15,
+      "execution_count": 16,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -632,19 +830,10 @@
             ]
           },
           "metadata": {},
-          "execution_count": 15
+          "execution_count": 16
         }
       ]
     },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "**Ahora vamos a hacer lo mismo para todas las imagenes**"
-      ],
-      "metadata": {
-        "id": "cDJ3LYa_0amf"
-      }
-    },
     {
       "cell_type": "code",
       "metadata": {
@@ -652,19 +841,19 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "d61f26f6-4e29-458a-c940-b034e6865214"
+        "outputId": "1b247e2a-f3d6-4af4-9b5a-ee123a4b5289"
       },
       "source": [
         "%time  img = datos['image_filename'].apply(lambda x: io.imread(ruta + x, as_gray=True))"
       ],
-      "execution_count": 16,
+      "execution_count": 18,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "CPU times: user 55.7 s, sys: 6.98 s, total: 1min 2s\n",
-            "Wall time: 1min 13s\n"
+            "CPU times: user 53.3 s, sys: 44.6 s, total: 1min 37s\n",
+            "Wall time: 3min 22s\n"
           ]
         }
       ]
@@ -686,11 +875,11 @@
         "id": "lUWaB4bDIKXD"
       },
       "source": [
-        "# # Guardar en archivo pickle\n",
-        "# path = '/content/drive/MyDrive/Datos/DatosCancer/' # directorio donde se guardará el \n",
-        "# pickle.dump(img, open (path + \"imagenes_numpy.pkl\", 'wb'))"
+        "# Guardar en archivo pickle\n",
+        "ruta2 = '/content/drive/MyDrive/DatosCancer/' # directorio donde se guardará el \n",
+        "pickle.dump(img, open (ruta2 + \"imagenes_numpy.pkl\", 'wb'))"
       ],
-      "execution_count": 17,
+      "execution_count": 19,
       "outputs": []
     },
     {
@@ -699,11 +888,11 @@
         "id": "WpmAp_nWJi1_"
       },
       "source": [
-        "# # Leer archivo pickle\n",
-        "# path = '/content/drive/MyDrive/Datos/DatosCancer/'\n",
-        "# img = pickle.load(open(path + \"imagenes_numpy.pkl\", 'rb'))"
+        "# Leer archivo pickle\n",
+        "ruta2 = '/content/drive/MyDrive/DatosCancer/'\n",
+        "img = pickle.load(open(ruta2 + \"imagenes_numpy.pkl\", 'rb'))"
       ],
-      "execution_count": 18,
+      "execution_count": 20,
       "outputs": []
     },
     {
@@ -712,32 +901,22 @@
         "id": "J-qKmuF2dehV",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 315
+          "height": 0
         },
-        "outputId": "43eb73b9-bf27-4ba9-92c8-5bec6536da7c"
+        "outputId": "f0f5b36a-36b2-4d9a-9e51-9e298c006acc"
       },
       "source": [
-        "io.imshow(img[18]) "
+        "io.imshow(img[18]);"
       ],
-      "execution_count": 19,
+      "execution_count": 21,
       "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "<matplotlib.image.AxesImage at 0x7f4aedeb7710>"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 19
-        },
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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\n",
             "text/plain": [
               "<Figure size 432x288 with 1 Axes>"
-            ]
+            ],
+            "image/png": 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\n"
           },
           "metadata": {
             "needs_background": "light"
@@ -745,44 +924,6 @@
         }
       ]
     },
-    {
-      "cell_type": "code",
-      "source": [
-        "img[18]"
-      ],
-      "metadata": {
-        "id": "ibRlzwyFTSr4",
-        "outputId": "105ed213-8278-4874-d423-fe0a0d52737c",
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        }
-      },
-      "execution_count": 20,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "array([[0.08322275, 0.08322275, 0.08322275, ..., 0.08322275, 0.08322275,\n",
-              "        0.08322275],\n",
-              "       [0.08322275, 0.08322275, 0.08322275, ..., 0.08322275, 0.08322275,\n",
-              "        0.08322275],\n",
-              "       [0.08322275, 0.08322275, 0.08322275, ..., 0.08322275, 0.08322275,\n",
-              "        0.08322275],\n",
-              "       ...,\n",
-              "       [0.08322275, 0.08322275, 0.08322275, ..., 0.08322275, 0.08322275,\n",
-              "        0.08322275],\n",
-              "       [0.08322275, 0.08322275, 0.08322275, ..., 0.08322275, 0.08322275,\n",
-              "        0.08322275],\n",
-              "       [0.08322275, 0.08322275, 0.08322275, ..., 0.08322275, 0.08322275,\n",
-              "        0.08322275]])"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 20
-        }
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -810,12 +951,12 @@
       ],
       "metadata": {
         "id": "AXpIIulp2dZt",
-        "outputId": "49d88c1f-0f52-4bb2-f2e1-46a5ca8c0b15",
+        "outputId": "daf76efa-67e2-4593-de71-ff6c2aa3d477",
         "colab": {
           "base_uri": "https://localhost:8080/"
         }
       },
-      "execution_count": 21,
+      "execution_count": 22,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -825,7 +966,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 21
+          "execution_count": 22
         }
       ]
     },
@@ -836,12 +977,12 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "e34aabdf-2433-4566-8a22-9d01c55807d8"
+        "outputId": "22013090-efeb-4f11-8b55-40706e4949d2"
       },
       "source": [
         "img[0].shape"
       ],
-      "execution_count": 22,
+      "execution_count": 23,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -851,7 +992,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 22
+          "execution_count": 23
         }
       ]
     },
@@ -862,14 +1003,14 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "cceeec3f-d08c-49a9-ead5-667dd249dde4"
+        "outputId": "0c69018a-400d-4b22-a723-633b950dc1df"
       },
       "source": [
         "IMG = np.stack(img, axis=0)  # Toma una secuencia de matrices y las apila a lo largo \n",
-        "                              # de un tercer eje para hacer una sola matriz              \n",
+        "                              # de un tercer eje para hacer una solo arreglo               \n",
         "IMG.shape"
       ],
-      "execution_count": 23,
+      "execution_count": 24,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -879,7 +1020,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 23
+          "execution_count": 24
         }
       ]
     },
@@ -899,13 +1040,13 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "22094275-d4fb-45a9-e37c-d8dedb8a9c79"
+        "outputId": "0d5bc95e-0116-4074-8724-a0677e5e0c51"
       },
       "source": [
-        "X = IMG.reshape( 5063, -1)\n",
+        "X = IMG.reshape(5063, -1)\n",
         "X.shape"
       ],
-      "execution_count": 24,
+      "execution_count": 25,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -915,1255 +1056,134 @@
             ]
           },
           "metadata": {},
-          "execution_count": 24
+          "execution_count": 25
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "KNjLjBwgdehc"
+      },
+      "source": [
+        "##### Visualizamos ejemplos de ambas clases de imagenes"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "bQRiXE3Gdehc",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 0
+        },
+        "outputId": "9a29c38a-e1e7-410a-d25c-f41ff75b0025"
+      },
+      "source": [
+        "#El método GroupBy de Pandas separa un data frame en varios data frames\n",
+        "porClase = datos.groupby('class_number')\n",
+        "\n",
+        "#elije al azar n muestras de cada subconjunto y guarda la posición de las figuras elegidas en una lista\n",
+        "n = 20\n",
+        "c = random.sample(porClase.get_group(1).index.tolist(), n) # indices de las imagenes cancerígenas seleccionadas\n",
+        "s = random.sample(porClase.get_group(0).index.tolist(), n) # indices de las imagenes sanas seleccionadas\n",
+        "\n",
+        "# Grafica 20 imágenes aleatorias de tejido con cáncer y 20 de tejido sano\n",
+        "fig = plt.figure(figsize=(16, 8))\n",
+        "columns = 10\n",
+        "rows = 4\n",
+        "for i in range(0, columns * rows):\n",
+        "    fig.add_subplot( rows, columns, i+1)\n",
+        "    if i < 20:\n",
+        "        plt.imshow(img[c[i]], cmap='Greys_r')\n",
+        "        plt.title('cancer')\n",
+        "        plt.xticks([])\n",
+        "        plt.yticks([])\n",
+        "    else:\n",
+        "        plt.imshow(img[s[i-20]], cmap='Greys_r')\n",
+        "        plt.title('tejido sano')\n",
+        "        plt.xticks([])\n",
+        "        plt.yticks([])\n",
+        "plt.show()"
+      ],
+      "execution_count": 26,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1152x576 with 40 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
         }
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "zKnFTGWhdehe"
+      },
+      "source": [
+        "## Paso 3. Entrenamiento utilizando perceptrón simple con conjunto de entrenamiento y prueba"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ROqxj7Qodehe"
+      },
+      "source": [
+        "### 3.1  Crear subconjuntos de entrenamiento y prueba\n",
+        "\n"
+      ]
+    },
     {
       "cell_type": "code",
       "source": [
-        "tabla = pd.merge(pd.DataFrame(X), Y, left_index=True, right_index=True)\n",
-        "tabla"
+        "# Parece que están ordenados, por eso se hace el shuffle\n",
+        "Y.head()"
       ],
       "metadata": {
-        "id": "Unhw89U-Zv3M",
-        "outputId": "30a4326c-3e4e-4caf-de99-cc28e2a8bc57",
+        "id": "92_ZntSDbsJ9",
+        "outputId": "cfa58dcc-c84d-4b75-c479-38605d68b807",
         "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 487
+          "base_uri": "https://localhost:8080/"
         }
       },
-      "execution_count": 25,
+      "execution_count": 27,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
-            "text/html": [
-              "\n",
-              "  <div id=\"df-66087775-6b78-4116-a15d-e09c64559e1e\">\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>0</th>\n",
-              "      <th>1</th>\n",
-              "      <th>2</th>\n",
-              "      <th>3</th>\n",
-              "      <th>4</th>\n",
-              "      <th>5</th>\n",
-              "      <th>6</th>\n",
-              "      <th>7</th>\n",
-              "      <th>8</th>\n",
-              "      <th>9</th>\n",
-              "      <th>10</th>\n",
-              "      <th>11</th>\n",
-              "      <th>12</th>\n",
-              "      <th>13</th>\n",
-              "      <th>14</th>\n",
-              "      <th>15</th>\n",
-              "      <th>16</th>\n",
-              "      <th>17</th>\n",
-              "      <th>18</th>\n",
-              "      <th>19</th>\n",
-              "      <th>20</th>\n",
-              "      <th>21</th>\n",
-              "      <th>22</th>\n",
-              "      <th>23</th>\n",
-              "      <th>24</th>\n",
-              "      <th>25</th>\n",
-              "      <th>26</th>\n",
-              "      <th>27</th>\n",
-              "      <th>28</th>\n",
-              "      <th>29</th>\n",
-              "      <th>30</th>\n",
-              "      <th>31</th>\n",
-              "      <th>32</th>\n",
-              "      <th>33</th>\n",
-              "      <th>34</th>\n",
-              "      <th>35</th>\n",
-              "      <th>36</th>\n",
-              "      <th>37</th>\n",
-              "      <th>38</th>\n",
-              "      <th>39</th>\n",
-              "      <th>...</th>\n",
-              "      <th>67561</th>\n",
-              "      <th>67562</th>\n",
-              "      <th>67563</th>\n",
-              "      <th>67564</th>\n",
-              "      <th>67565</th>\n",
-              "      <th>67566</th>\n",
-              "      <th>67567</th>\n",
-              "      <th>67568</th>\n",
-              "      <th>67569</th>\n",
-              "      <th>67570</th>\n",
-              "      <th>67571</th>\n",
-              "      <th>67572</th>\n",
-              "      <th>67573</th>\n",
-              "      <th>67574</th>\n",
-              "      <th>67575</th>\n",
-              "      <th>67576</th>\n",
-              "      <th>67577</th>\n",
-              "      <th>67578</th>\n",
-              "      <th>67579</th>\n",
-              "      <th>67580</th>\n",
-              "      <th>67581</th>\n",
-              "      <th>67582</th>\n",
-              "      <th>67583</th>\n",
-              "      <th>67584</th>\n",
-              "      <th>67585</th>\n",
-              "      <th>67586</th>\n",
-              "      <th>67587</th>\n",
-              "      <th>67588</th>\n",
-              "      <th>67589</th>\n",
-              "      <th>67590</th>\n",
-              "      <th>67591</th>\n",
-              "      <th>67592</th>\n",
-              "      <th>67593</th>\n",
-              "      <th>67594</th>\n",
-              "      <th>67595</th>\n",
-              "      <th>67596</th>\n",
-              "      <th>67597</th>\n",
-              "      <th>67598</th>\n",
-              "      <th>67599</th>\n",
-              "      <th>class_number</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>0</th>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1</th>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2</th>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3</th>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>4</th>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0</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",
-              "      <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",
-              "      <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",
-              "      <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>5058</th>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>1</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>5059</th>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>1</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>5060</th>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>1</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>5061</th>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>1</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>5062</th>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>0.083223</td>\n",
-              "      <td>1</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "<p>5063 rows × 67601 columns</p>\n",
-              "</div>\n",
-              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-66087775-6b78-4116-a15d-e09c64559e1e')\"\n",
-              "              title=\"Convert this dataframe to an interactive table.\"\n",
-              "              style=\"display:none;\">\n",
-              "        \n",
-              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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-              "  </svg>\n",
-              "      </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",
-              "      cursor: pointer;\n",
-              "      display: none;\n",
-              "      fill: #1967D2;\n",
-              "      height: 32px;\n",
-              "      padding: 0 0 0 0;\n",
-              "      width: 32px;\n",
-              "    }\n",
-              "\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",
-              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
-              "      fill: #FFFFFF;\n",
-              "    }\n",
-              "  </style>\n",
-              "\n",
-              "      <script>\n",
-              "        const buttonEl =\n",
-              "          document.querySelector('#df-66087775-6b78-4116-a15d-e09c64559e1e 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-66087775-6b78-4116-a15d-e09c64559e1e');\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",
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-              "    </div>\n",
-              "  </div>\n",
-              "  "
-            ],
             "text/plain": [
-              "             0         1         2  ...     67598     67599  class_number\n",
-              "0     0.083223  0.083223  0.083223  ...  0.083223  0.083223             0\n",
-              "1     0.083223  0.083223  0.083223  ...  0.083223  0.083223             0\n",
-              "2     0.083223  0.083223  0.083223  ...  0.083223  0.083223             0\n",
-              "3     0.083223  0.083223  0.083223  ...  0.083223  0.083223             0\n",
-              "4     0.083223  0.083223  0.083223  ...  0.083223  0.083223             0\n",
-              "...        ...       ...       ...  ...       ...       ...           ...\n",
-              "5058  0.083223  0.083223  0.083223  ...  0.083223  0.083223             1\n",
-              "5059  0.083223  0.083223  0.083223  ...  0.083223  0.083223             1\n",
-              "5060  0.083223  0.083223  0.083223  ...  0.083223  0.083223             1\n",
-              "5061  0.083223  0.083223  0.083223  ...  0.083223  0.083223             1\n",
-              "5062  0.083223  0.083223  0.083223  ...  0.083223  0.083223             1\n",
-              "\n",
-              "[5063 rows x 67601 columns]"
+              "0    0\n",
+              "1    0\n",
+              "2    0\n",
+              "3    0\n",
+              "4    0\n",
+              "Name: class_number, dtype: int64"
             ]
           },
           "metadata": {},
-          "execution_count": 25
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "KNjLjBwgdehc"
-      },
-      "source": [
-        "##### Visualizamos ejemplos de ambas clases de imagenes"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "id": "bQRiXE3Gdehc",
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 465
-        },
-        "outputId": "cf103c79-67ef-4cbe-beec-2e6dc02bc79b"
-      },
-      "source": [
-        "#El método GroupBy de Pandas separa un data frame en varios data frames\n",
-        "porClase = datos.groupby('class_number')\n",
-        "\n",
-        "#elije al azar n muestras de cada subconjunto y guarda la posición de las figuras elegidas en una lista\n",
-        "n = 20\n",
-        "c = random.sample(porClase.get_group(1).index.tolist(), n) # indices de las imagenes cancerígenas seleccionadas\n",
-        "s = random.sample(porClase.get_group(0).index.tolist(), n) # indices de las imagenes sanas seleccionadas\n",
-        "\n",
-        "# Grafica 20 imágenes aleatorias de tejido con cáncer y 20 de tejido sano\n",
-        "\n",
-        "fig = plt.figure(figsize=(16, 8))\n",
-        "columns = 10\n",
-        "rows = 4\n",
-        "for i in range(0, columns * rows):\n",
-        "    fig.add_subplot( rows, columns, i+1)\n",
-        "    if i < 20:\n",
-        "        plt.imshow(img[c[i]], cmap='Greys_r')\n",
-        "        plt.title('cancer')\n",
-        "        plt.xticks([])\n",
-        "        plt.yticks([])\n",
-        "    else:\n",
-        "        plt.imshow(img[s[i-20]], cmap='Greys_r')\n",
-        "        plt.title('tejido sano')\n",
-        "        plt.xticks([])\n",
-        "        plt.yticks([])\n",
-        "plt.show()"
-      ],
-      "execution_count": 26,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 1152x576 with 40 Axes>"
-            ]
-          },
-          "metadata": {}
+          "execution_count": 27
         }
       ]
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "zKnFTGWhdehe"
-      },
-      "source": [
-        "## Paso 3. Entrenamiento utilizando perceptrón simple con conjunto de entrenamiento y prueba"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "ROqxj7Qodehe"
-      },
-      "source": [
-        "### 3.1  Crear subconjuntos de entrenamiento y prueba\n",
-        "\n"
-      ]
-    },
     {
       "cell_type": "code",
       "source": [
         "Y.tail()"
       ],
       "metadata": {
-        "id": "92_ZntSDbsJ9",
-        "outputId": "e4da6b52-e8f4-45bb-bffc-e18885f99ae7",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "B8clQWu7tOmV",
+        "outputId": "f945f95d-8915-4949-ce8f-068f3d54073e"
       },
-      "execution_count": 27,
+      "execution_count": 28,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2178,7 +1198,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 27
+          "execution_count": 28
         }
       ]
     },
@@ -2191,7 +1211,7 @@
         "X_train, X_test, y_train, y_test = train_test_split( X, Y, test_size=0.3, \n",
         "                                                    shuffle=True, random_state=0)"
       ],
-      "execution_count": 28,
+      "execution_count": 29,
       "outputs": []
     },
     {
@@ -2201,7 +1221,7 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "d7ca4452-c687-4c3d-f506-9e2e68f14e90"
+        "outputId": "be5aec79-8506-458c-882f-09069afcb0e0"
       },
       "source": [
         "# ¿Cómo son los conjuntos de entrenamiento y prueba?\n",
@@ -2218,7 +1238,7 @@
         "unique, counts = np.unique(y_test, return_counts=True)\n",
         "print('Tejido Sano:         ', counts[0],'\\nDisplasia o Cáncer: ', counts[1],'\\n')"
       ],
-      "execution_count": 29,
+      "execution_count": 30,
       "outputs": [
         {
           "output_type": "stream",
@@ -2257,7 +1277,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "TLNU0YFWXwki",
-        "outputId": "ca5c0223-198e-49db-a879-a56f0d1053db"
+        "outputId": "fdaf6246-f7fe-4585-ce64-c9e217ea3b69"
       },
       "source": [
         "model = Perceptron(  max_iter=46,   random_state=0, verbose=False) \n",
@@ -2265,7 +1285,7 @@
         "\n",
         "print(\"Iterations: \", model.n_iter_)"
       ],
-      "execution_count": 30,
+      "execution_count": 31,
       "outputs": [
         {
           "output_type": "stream",
@@ -2283,15 +1303,14 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "9c9fbbd6-e80b-47b1-dcb9-41f3bee972e8"
+        "outputId": "42302090-4ae7-4b51-eff0-6bcb4cac7d08"
       },
       "source": [
         "#Guardamos los coeficientes del modelo como beta\n",
-        "\n",
         "beta = model.coef_\n",
         "print(beta.shape)"
       ],
-      "execution_count": 31,
+      "execution_count": 32,
       "outputs": [
         {
           "output_type": "stream",
@@ -2305,16 +1324,16 @@
     {
       "cell_type": "code",
       "source": [
-        "model.intercept_\n"
+        "model.intercept_"
       ],
       "metadata": {
         "id": "3HGRC-WqeSPo",
-        "outputId": "db153695-4855-45f4-b5a0-a1482144fadb",
+        "outputId": "4328fa43-4198-4251-8888-4327dcc6c29e",
         "colab": {
           "base_uri": "https://localhost:8080/"
         }
       },
-      "execution_count": 32,
+      "execution_count": 33,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2324,37 +1343,20 @@
             ]
           },
           "metadata": {},
-          "execution_count": 32
+          "execution_count": 33
         }
       ]
     },
     {
       "cell_type": "code",
       "metadata": {
-        "id": "QkszcmoXdehm",
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "outputId": "2875b537-4a6d-43a6-cf77-e8eef332583f"
+        "id": "QkszcmoXdehm"
       },
       "source": [
-        "beta[0, 50310:50320]"
+        "# beta[0, 50310:50320]"
       ],
-      "execution_count": 33,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "array([ -1.92002706,  26.43550275,  48.33832196,  60.5412651 ,\n",
-              "        36.79920392,  20.46658157,  -2.35208118, -16.18895686,\n",
-              "       -16.80207686,   4.81493412])"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 33
-        }
-      ]
+      "execution_count": 34,
+      "outputs": []
     },
     {
       "cell_type": "code",
@@ -2362,36 +1364,21 @@
         "id": "kKIwT9sTdehn"
       },
       "source": [
-        "y_predict = model.predict(X_test)  #pasa cada una de las imágenes de X_test por el modelo "
+        "y_predict = model.predict(X_test)  # pasa cada una de las imágenes de X_test por el modelo "
       ],
-      "execution_count": 34,
+      "execution_count": 35,
       "outputs": []
     },
     {
       "cell_type": "code",
       "source": [
-        "len(y_predict)"
+        "# len(y_predict)"
       ],
       "metadata": {
-        "id": "OWGlmSE5ej7r",
-        "outputId": "cf5a4e60-036c-4cdc-f548-a0aa876da554",
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        }
+        "id": "OWGlmSE5ej7r"
       },
-      "execution_count": 35,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "1519"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 35
-        }
-      ]
+      "execution_count": 36,
+      "outputs": []
     },
     {
       "cell_type": "code",
@@ -2400,12 +1387,12 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "94d0ff63-504f-4ad5-ad68-c277381a2169"
+        "outputId": "82fe68a8-3bb6-4ac3-ed9b-f6e409b8a77d"
       },
       "source": [
         "print(\"Accuracy: %.2f%%\" % (accuracy_score(y_test, y_predict)*100))"
       ],
-      "execution_count": 36,
+      "execution_count": 37,
       "outputs": [
         {
           "output_type": "stream",
@@ -2423,13 +1410,13 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "t6rmWDgfV7nO",
-        "outputId": "2d02ef4f-cf3d-4032-c012-60660187e7a2"
+        "outputId": "728bcba7-0710-41b0-9ccd-97181fe24a0e"
       },
       "source": [
         "print(\"Precisión conjunto entrenamiento: %.2f%%\" % (model.score(X_train, y_train)*100.0))\n",
         "print(\"Precisión conjunto prueba: %.2f%%\" % (model.score(X_test, y_test)*100.0))"
       ],
-      "execution_count": 37,
+      "execution_count": 38,
       "outputs": [
         {
           "output_type": "stream",
@@ -2447,25 +1434,42 @@
         "data = {'Y_Real':  y_test,\n",
         "        'Y_Prediccion':y_predict\n",
         "        }\n",
+        "        \n",
         "df = pd.DataFrame(data, columns=['Y_Real','Y_Prediccion'])\n",
         "df"
       ],
       "metadata": {
         "id": "bXliKIiUf4Cd",
-        "outputId": "b21f79e8-44ca-492a-d345-1a7d7b437f81",
+        "outputId": "1c3735b0-ed0f-435e-84c6-a51b6234929a",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 423
+          "height": 424
         }
       },
-      "execution_count": 38,
+      "execution_count": 39,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
+            "text/plain": [
+              "      Y_Real  Y_Prediccion\n",
+              "3284       0             0\n",
+              "142        1             1\n",
+              "2625       1             1\n",
+              "2066       1             1\n",
+              "72         0             1\n",
+              "...      ...           ...\n",
+              "1569       1             1\n",
+              "5057       1             1\n",
+              "1422       0             0\n",
+              "2044       1             1\n",
+              "4906       1             1\n",
+              "\n",
+              "[1519 rows x 2 columns]"
+            ],
             "text/html": [
               "\n",
-              "  <div id=\"df-ecfdeafb-95c5-4edb-aff6-1e3207f2d6a5\">\n",
+              "  <div id=\"df-b799399e-f9e9-4946-a9da-c1db175bc1b3\">\n",
               "    <div class=\"colab-df-container\">\n",
               "      <div>\n",
               "<style scoped>\n",
@@ -2549,7 +1553,7 @@
               "</table>\n",
               "<p>1519 rows × 2 columns</p>\n",
               "</div>\n",
-              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ecfdeafb-95c5-4edb-aff6-1e3207f2d6a5')\"\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b799399e-f9e9-4946-a9da-c1db175bc1b3')\"\n",
               "              title=\"Convert this dataframe to an interactive table.\"\n",
               "              style=\"display:none;\">\n",
               "        \n",
@@ -2600,12 +1604,12 @@
               "\n",
               "      <script>\n",
               "        const buttonEl =\n",
-              "          document.querySelector('#df-ecfdeafb-95c5-4edb-aff6-1e3207f2d6a5 button.colab-df-convert');\n",
+              "          document.querySelector('#df-b799399e-f9e9-4946-a9da-c1db175bc1b3 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-ecfdeafb-95c5-4edb-aff6-1e3207f2d6a5');\n",
+              "          const element = document.querySelector('#df-b799399e-f9e9-4946-a9da-c1db175bc1b3');\n",
               "          const dataTable =\n",
               "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                     [key], {});\n",
@@ -2617,34 +1621,18 @@
               "          element.innerHTML = '';\n",
               "          dataTable['output_type'] = 'display_data';\n",
               "          await google.colab.output.renderOutput(dataTable, element);\n",
-              "          const docLink = document.createElement('div');\n",
-              "          docLink.innerHTML = docLinkHtml;\n",
-              "          element.appendChild(docLink);\n",
-              "        }\n",
-              "      </script>\n",
-              "    </div>\n",
-              "  </div>\n",
-              "  "
-            ],
-            "text/plain": [
-              "      Y_Real  Y_Prediccion\n",
-              "3284       0             0\n",
-              "142        1             1\n",
-              "2625       1             1\n",
-              "2066       1             1\n",
-              "72         0             1\n",
-              "...      ...           ...\n",
-              "1569       1             1\n",
-              "5057       1             1\n",
-              "1422       0             0\n",
-              "2044       1             1\n",
-              "4906       1             1\n",
-              "\n",
-              "[1519 rows x 2 columns]"
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
             ]
           },
           "metadata": {},
-          "execution_count": 38
+          "execution_count": 39
         }
       ]
     },
@@ -2656,20 +1644,26 @@
       ],
       "metadata": {
         "id": "9w3bFDEQgNX9",
-        "outputId": "9007ad33-ebf3-418f-e71f-8cbe92de841e",
+        "outputId": "d3867577-3a06-4f0c-d07b-5fe6b847c7a8",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 143
+          "height": 144
         }
       },
-      "execution_count": 39,
+      "execution_count": 40,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
+            "text/plain": [
+              "Predicted    0     1\n",
+              "Real                \n",
+              "0          316   110\n",
+              "1           39  1054"
+            ],
             "text/html": [
               "\n",
-              "  <div id=\"df-0b398b7c-5af9-4f98-b03e-85d75a40a571\">\n",
+              "  <div id=\"df-a063c276-f1c2-4503-b61a-9bc8574dc356\">\n",
               "    <div class=\"colab-df-container\">\n",
               "      <div>\n",
               "<style scoped>\n",
@@ -2712,7 +1706,7 @@
               "  </tbody>\n",
               "</table>\n",
               "</div>\n",
-              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0b398b7c-5af9-4f98-b03e-85d75a40a571')\"\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a063c276-f1c2-4503-b61a-9bc8574dc356')\"\n",
               "              title=\"Convert this dataframe to an interactive table.\"\n",
               "              style=\"display:none;\">\n",
               "        \n",
@@ -2763,12 +1757,12 @@
               "\n",
               "      <script>\n",
               "        const buttonEl =\n",
-              "          document.querySelector('#df-0b398b7c-5af9-4f98-b03e-85d75a40a571 button.colab-df-convert');\n",
+              "          document.querySelector('#df-a063c276-f1c2-4503-b61a-9bc8574dc356 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-0b398b7c-5af9-4f98-b03e-85d75a40a571');\n",
+              "          const element = document.querySelector('#df-a063c276-f1c2-4503-b61a-9bc8574dc356');\n",
               "          const dataTable =\n",
               "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                     [key], {});\n",
@@ -2788,16 +1782,10 @@
               "    </div>\n",
               "  </div>\n",
               "  "
-            ],
-            "text/plain": [
-              "Predicted    0     1\n",
-              "Real                \n",
-              "0          316   110\n",
-              "1           39  1054"
             ]
           },
           "metadata": {},
-          "execution_count": 39
+          "execution_count": 40
         }
       ]
     },
@@ -2807,9 +1795,9 @@
         "id": "qKpomRrudehq",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 278
+          "height": 279
         },
-        "outputId": "69a7207e-34d7-4546-c5de-1d038525d1f4"
+        "outputId": "48595593-4294-4f73-a03d-4d847fa2a4dc"
       },
       "source": [
         "#Matriz de confusión\n",
@@ -2824,15 +1812,15 @@
         "sns.heatmap(confusion_matrix, annot=True, fmt='g')\n",
         "plt.show()"
       ],
-      "execution_count": 40,
+      "execution_count": 41,
       "outputs": [
         {
           "output_type": "display_data",
           "data": {
-            "image/png": "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\n",
             "text/plain": [
               "<Figure size 432x288 with 2 Axes>"
-            ]
+            ],
+            "image/png": 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uuIFuZl4HXFe9ng3svpo+/wTe3xXHM6BLEl76L0nF8AEXklQIM3RJKsSy6P05ugFdkrDkIknFsOQiSYXojmmLPc2ALklYcpGkYlhykaRCtBaQoxvQJQkzdEkqRpqhS1IZzNDV5TbYYAOuu+ZC+m+wAX379uGii37Hyaecwdv33pPTTvsS/fv344477uUjE46ntXU9buSppvTFr36D6TfeypDBg7j45z8EYPEzf+f4L32NxxY8zpZbDOOML5/AwAEv59Y77uHYiSczYvgWAOz3tjfzsf86YsW+Wltb+cD4Y9l8s035/uknN+Tz9CYlTFv0fuhNZsmSJey3/6HsNuod7DZqfw7Yf2/2GD2Ksyd/kyM+eDQ777Ivjz46lyM/1CV321STOXjMO/jhN76yUttZPzuf0aN25rLzJjN61M5M/vn5K7bt+sbXceGU73HhlO+tFMwBfv7rqbxy2216ZNwlyA4szcqA3oSeffY5APr160vffv1obW1l6dKlPPTQbACuvno6h7xnTCOHqG4yaufXM3DAy1dqu/b6mxh74H4AjD1wP66ZftM697PgiSeZ/sdbee+/H9At4yzRMrLupVkZ0JtQS0sLM267kvnz7mHatOncetud9O3bl912fQMAhxxyEFttvWWDR6me8tTCRWy26RAANh06mKcWLlqx7e77HuCQcUfz0eO/xKzZf13Rftq3fsSnjx5PhP8Xr1d24H/Nqsf/a0fEUWvZNiEiZkTEjLa2Z3tyWE2lra2NUW/an1dsN4o3jdqFnXbagSM+eDRnfP0kbrrxUv7xj2dpbS3hFI46KiKIqD3UcscdtueqC6dw0ZTvc/h7/51jTzgFgOtuvIUhgwex02tGNnKovU5bB5Zm1Yiv7zWencnMSZk5KjNHtbRs0pNjakqLFz/DdX+4kQP235ubb7mdvfc5hD32fBfXX3/zivKLyjd08CCe/NvTADz5t6cZMmggAC/bZBM23ngjAPZ68+4sW7aMhYsWc+c993PdDTez/3vH8ZkTT+XW2+/mcyf/b8PG31uYoa9BRNyzhuVeYFh3HLMUm246hIEDBwCw4YYbst++e/Hggw+z2WZDAejfvz+f+X/HMGnSzxo5TPWgvd8ymqm/vxqAqb+/mre/dQ8A/vbU0yx/OPy99z9IWyaDBg7guI8dxbSLf86VF07h9JMnsvtub+S0Ez/bsPH3FiVk6N01bXEYcACwcJX2AP7YTccswvDhwzh78jfp06eFlpYWLrjgt/zusqs57WtfZMxB+9HS0sKPfnQO1153Y6OHqm7wmRNP5bY772HRomfY9+APcvT4D/HhDx3K8V/6KhddegVbbrE5Z3z58wBcee0NnPeb39Gnbx827N+f00+euKIco45rzebNvOsV2Q0fIiImAz/JzBtWs+2XmXn4uvbRt/+I3v+vqy73/GPXN3oIakL9Nn3len+THf6K99Qdc37519805Tdnt2TomTl+LdvWGcwlqac1c228Xl4pKkk0d228XgZ0SaKMS/8N6JKEJRdJKkYJs1wM6JKEJRdJKoYnRSWpENbQJakQllwkqRDdcdV8TzOgSxLQaoYuSWUooeTi40wkiVrJpd5lbSJi64i4NiLuj4iZEfHJqn1IRFwVEQ9VPwdX7RER346IWdVtxnft7GcwoEsStQy93mUdlgHHZ+aOwGjgmIjYEZgITMvMkcC0ah3gQGBktUwAftDZz2BAlyS67olFmTk/M++oXv8deAAYAYwFplTdpgAHV6/HAudkzc3AoIgY3pnPYECXJGqX/te7tH/+cbVMWN0+I2JbYBfgFmBYZs6vNi3gX09vGwHMafe2uVVbh3lSVJLo2EnRzJwETFpbn4h4GXAh8KnMfKb906QyMyOiy8/CGtAlia6d5RIR/agF819k5kVV8+MRMTwz51cllSeq9nnA1u3evlXV1mGWXCSJLp3lEsBk4IHM/Ea7TZcA46rX44Cp7dqPrGa7jAYWtyvNdIgZuiTRpRn6nsCHgHsj4q6q7fPAqcD5ETEe+CtwaLXtMmAMMAt4Djiqswc2oEsSXXdzrsy8AVjTQ6T3XU3/BI7pimMb0CUJaM3efwNdA7ok4c25JKkYJdzLxYAuSfiAC0kqRpslF0kqgxm6JBXCWS6SVAhLLpJUCEsuklQIM3RJKoQZuiQVojVbGz2E9WZAlyS89F+SiuGl/5JUCDN0SSqEs1wkqRDOcpGkQnjpvyQVwhq6JBXCGrokFcIMXZIK4Tx0SSqEGbokFcJZLpJUCE+KSlIhLLlIUiG8UlSSCmGGLkmFKKGGHiV8K5UuIiZk5qRGj0PNxd8Lraql0QNQXSY0egBqSv5eaCUGdEkqhAFdkgphQO8drJNqdfy90Eo8KSpJhTBDl6RCGNAlqRAG9CYXEe+MiAcjYlZETGz0eNR4EXF2RDwREfc1eixqLgb0JhYRfYDvAQcCOwL/ERE7NnZUagI/Bd7Z6EGo+RjQm9vuwKzMnJ2ZS4FzgbENHpMaLDOnA083ehxqPgb05jYCmNNufW7VJkkvYkCXpEIY0JvbPGDrdutbVW2S9CIG9OZ2GzAyIraLiP7AYcAlDR6TpCZlQG9imbkM+DhwBfAAcH5mzmzsqNRoEfEr4CZgh4iYGxHjGz0mNQcv/ZekQpihS1IhDOiSVAgDuiQVwoAuSYUwoEtSIQzo6hYR0RoRd0XEfRHx64jYeD329dOIeF/1+qy13aAsIvaOiDd34hiPRMSmnR2j1AwM6Oouz2fmzpn5OmAp8NH2GyOib2d2mpkfzsz719Jlb6DDAV0qgQFdPeF64FVV9nx9RFwC3B8RfSLi9Ii4LSLuiYj/Boia71b3gb8a2Hz5jiLiuogYVb1+Z0TcERF3R8S0iNiW2hfHcdVfB2+NiM0i4sLqGLdFxJ7Ve4dGxJURMTMizgKiZ/9JpK7XqSxJqleViR8IXF417Qq8LjP/EhETgMWZ+aaI2AC4MSKuBHYBdqB2D/hhwP3A2avsdzPgx8Be1b6GZObTEfFD4B+Z+fWq3y+BMzPzhojYhtpVt68FTgRuyMxTIuIgwKst1esZ0NVdNoqIu6rX1wOTqZVCbs3Mv1Tt+wNvWF4fBwYCI4G9gF9lZivwWERcs5r9jwamL99XZq7p/uD7ATtGrEjAB0TEy6pjHFK993cRsbCTn1NqGgZ0dZfnM3Pn9g1VUH22fRPwicy8YpV+Y7pwHC3A6Mz852rGIhXFGroa6QrgYxHRDyAiXh0RmwDTgQ9UNfbhwNtX896bgb0iYrvqvUOq9r8DL2/X70rgE8tXImL5l8x04PCq7UBgcJd9KqlBDOhqpLOo1cfvqB54/CNqfzX+Bnio2nYOtTsLriQznwQmABdFxN3AedWm3wLvWX5SFDgWGFWddL2ff822OZnaF8JMaqWXR7vpM0o9xrstSlIhzNAlqRAGdEkqhAFdkgphQJekQhjQJakQBnRJKoQBXZIK8X+Lbz3MwOC7OwAAAABJRU5ErkJggg==\n"
           },
           "metadata": {
             "needs_background": "light"
@@ -2856,7 +1844,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Gxmtpgu7jpXm",
-        "outputId": "cc008afc-c4cf-454a-94a2-eb040d9f39c4"
+        "outputId": "333b2bc2-4402-43dc-edc7-2c8e82cc579e"
       },
       "source": [
         "model2 = Perceptron(max_iter=1000,  random_state=0, verbose=False, \n",
@@ -2866,7 +1854,7 @@
         "print(\"Precisión conjunto entrenamiento: %.2f%%\" % (model2.score(X_train, y_train)*100.0))\n",
         "print(\"Precisión conjunto prueba: %.2f%%\" % (model2.score(X_test, y_test)*100.0))\n"
       ],
-      "execution_count": 41,
+      "execution_count": 42,
       "outputs": [
         {
           "output_type": "stream",
@@ -2891,12 +1879,12 @@
       ],
       "metadata": {
         "id": "pJxejO9I43OJ",
-        "outputId": "1795ff65-6cf4-456a-c5df-8b6327a56a6e",
+        "outputId": "050fb2c7-ef4c-4267-c7e3-0aeb57cdd656",
         "colab": {
           "base_uri": "https://localhost:8080/"
         }
       },
-      "execution_count": 42,
+      "execution_count": 43,
       "outputs": [
         {
           "output_type": "stream",
@@ -2920,12 +1908,12 @@
       ],
       "metadata": {
         "id": "wkYOX_1j5CLk",
-        "outputId": "e04feaa8-adab-4f90-d626-e51ff44ad594",
+        "outputId": "d9f26f1e-7f01-4946-9fbc-caf56ea38a21",
         "colab": {
           "base_uri": "https://localhost:8080/"
         }
       },
-      "execution_count": 43,
+      "execution_count": 44,
       "outputs": [
         {
           "output_type": "stream",
@@ -2936,6 +1924,265 @@
           ]
         }
       ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Paso 5. Evaluación adicional\n",
+        "\n",
+        "Precision Score"
+      ],
+      "metadata": {
+        "id": "kNoI4Hn5_9_s"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.metrics import precision_score, recall_score"
+      ],
+      "metadata": {
+        "id": "psqVkg7pAJs6"
+      },
+      "execution_count": 45,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "The precision is the ratio tp / (tp + fp) where tp is the number of true positives and fp the number of false positives. The precision is intuitively the ability of the classifier not to label as positive a sample that is negative.\n",
+        "\n",
+        "The best value is 1 and the worst value is 0."
+      ],
+      "metadata": {
+        "id": "hHzTuCa0FQo7"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "precision_score(y_test, model.predict(X_test))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "NVTbWrc5B_gk",
+        "outputId": "41a95d86-2d6b-4ac7-8a31-f32fa9186724"
+      },
+      "execution_count": 46,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "0.9054982817869416"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 46
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "The recall is the ratio tp / (tp + fn) where tp is the number of true positives and fn the number of false negatives. The recall is intuitively the ability of the classifier to find all the positive samples.\n",
+        "\n",
+        "The best value is 1 and the worst value is 0."
+      ],
+      "metadata": {
+        "id": "9I26kgRJFI7u"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "recall_score(y_test, model.predict(X_test))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "xjt2oFzADoQx",
+        "outputId": "f1e94180-383f-48f0-d550-9d7d399403c6"
+      },
+      "execution_count": 47,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "0.9643183897529735"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 47
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "confusion_matrix"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 144
+        },
+        "id": "cZd1FIwaKzD6",
+        "outputId": "c38159d0-b24a-4b8f-a2b0-61fb5505071b"
+      },
+      "execution_count": 48,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Predicted    0     1\n",
+              "Real                \n",
+              "0          316   110\n",
+              "1           39  1054"
+            ],
+            "text/html": [
+              "\n",
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+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
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+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
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+              "\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>Predicted</th>\n",
+              "      <th>0</th>\n",
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+              "      <th>Real</th>\n",
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+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-85fba6be-5b7f-4f84-9a57-c6facff77c6e')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
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+              "        \n",
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+              "  </svg>\n",
+              "      </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",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
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+              "      padding: 0 0 0 0;\n",
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+              "    }\n",
+              "\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",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-85fba6be-5b7f-4f84-9a57-c6facff77c6e 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-85fba6be-5b7f-4f84-9a57-c6facff77c6e');\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",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 48
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "metadata": {
+        "id": "-UFQnhKLK2lL"
+      },
+      "execution_count": null,
+      "outputs": []
     }
   ]
 }
\ No newline at end of file
diff --git a/Notebooks/PerceptronClasificadorDigitos.ipynb b/Notebooks/PerceptronClasificadorDigitos.ipynb
new file mode 100644
index 0000000..ccd7266
--- /dev/null
+++ b/Notebooks/PerceptronClasificadorDigitos.ipynb
@@ -0,0 +1,1544 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.8.2"
+    },
+    "colab": {
+      "name": "PerceptronClasificadorCancerEsófago.ipynb",
+      "provenance": [],
+      "machine_shape": "hm",
+      "include_colab_link": true
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/NayelySaldivar/ClasificadorCancerEsofago/blob/master/Notebooks/PerceptronClasificadorDigitos.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "euiFkCOldeg3"
+      },
+      "source": [
+        "## Cargar librerías y módulos requerdidos"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "0DXj8iGLdeg3"
+      },
+      "source": [
+        "import os            # módulo para manejar carpetas y archivos en nuestro ordenador\n",
+        "import random        # módulo para aleatorizar\n",
+        "\n",
+        "import numpy as np   # biblioteca para manejar matrices y operaciones de matrices \n",
+        "import pandas as pd  # biblioteca para manejar tablas de datos\n",
+        "\n",
+        "#Skimage (Scikit-image): biblioteca para procesamiento de imágenes\n",
+        "from skimage import io  #Modulo para leer una imagen (librería para procesamiento de imagenes)\n",
+        "\n",
+        "#Sklearn (Scikit-learn): biblioteca para machine learning \n",
+        "from sklearn.model_selection import train_test_split   \n",
+        "from sklearn.linear_model import Perceptron \n",
+        "from sklearn.metrics import accuracy_score\n",
+        "\n",
+        "#Bibliotecas para gráficar y visualizar\n",
+        "import matplotlib.pyplot as plt        \n",
+        "import seaborn as sns   "
+      ],
+      "execution_count": 1,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')"
+      ],
+      "metadata": {
+        "id": "pw0Up5w3Xnxp",
+        "outputId": "dbfbd91b-f80b-4248-c08f-4704aa05268d",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "2pk-KjXHdeg6"
+      },
+      "source": [
+        "## Lectura de datos. "
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "F2_U4C27dehK"
+      },
+      "source": [
+        "### Lectura de imágenes (X)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "mMfeIr6W_uzl"
+      },
+      "source": [
+        "**Lo primero que tenemos que hacer es descomprimir el archivo zip que guardamos en nuestro dirve**"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "HVL29gtw8i6H",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "d0409f5b-7ac6-4d0a-825e-78504b3461bc"
+      },
+      "source": [
+        "!unzip \"/content/drive/MyDrive/digitos_7.zip\" -d \"/Dataset_digitos/\"\n",
+        "# Para descomprimir el zip :o\n",
+        "# pregutar qué rollo con esto"
+      ],
+      "execution_count": 8,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Archive:  /content/drive/MyDrive/digitos_7.zip\n",
+            "replace /Dataset_digitos/content/drive/MyDrive/Datos/digitos_7.csv? [y]es, [n]o, [A]ll, [N]one, [r]ename: y\n",
+            "  inflating: /Dataset_digitos/content/drive/MyDrive/Datos/digitos_7.csv  \n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "data = pd.read_csv('/content/Dataset_Digitos/content/drive/MyDrive/Datos/digitos_7.csv')\n",
+        "data.head()"
+      ],
+      "metadata": {
+        "id": "ke9noxnAzYp3",
+        "outputId": "cf02e1b2-4f74-454c-b86b-6c3e248b9374",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 236
+        }
+      },
+      "execution_count": 81,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
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+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-69861610-1a08-42b4-a7f2-39b626e5ce90')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </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",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\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",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-69861610-1a08-42b4-a7f2-39b626e5ce90 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-69861610-1a08-42b4-a7f2-39b626e5ce90');\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",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 81
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# ¿Con cuántas imágenes vamos a trabajar?\n",
+        "data.shape[0]"
+      ],
+      "metadata": {
+        "id": "WEUtmFz500xf",
+        "outputId": "86c8007d-c4af-4500-a828-009eeb8f58f9",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 21,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "70000"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 21
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# ¿Cuántas hay de cada clase?\n",
+        "data.clase7.value_counts()"
+      ],
+      "metadata": {
+        "id": "uLWVQdxr0-MP",
+        "outputId": "0c3a0f52-5eaf-45d4-92cb-55204c803685",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 22,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "False    62707\n",
+              "True      7293\n",
+              "Name: clase7, dtype: int64"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 22
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Definimos nuestras variables:\n",
+        "X = data.drop(columns = 'clase7')\n",
+        "y = data[['clase7']]"
+      ],
+      "metadata": {
+        "id": "OXHrWJsEz0F7"
+      },
+      "execution_count": 15,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Para visualizar tenemos que reeestructuras las imágenes:\n",
+        "X_images = np.array(X).reshape(X.shape[0], 28, 28)\n",
+        "# X_images[0][0]\n",
+        "io.imshow(X_images[0]);"
+      ],
+      "metadata": {
+        "id": "ciwIbCyU27GF"
+      },
+      "execution_count": 49,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#El método GroupBy de Pandas separa un data frame en varios data frames\n",
+        "porClase = data.groupby('clase7')\n",
+        "\n",
+        "#elije al azar n muestras de cada subconjunto y guarda la posición de las figuras elegidas en una lista\n",
+        "n = 20\n",
+        "c = random.sample(porClase.get_group(False).index.tolist(), n) # indices de las imagenes QUE TIENEN 7 ESCRITO\n",
+        "s = random.sample(porClase.get_group(True).index.tolist(), n) # indices de las imagenes CON 7\n",
+        "\n",
+        "# Grafica 20 imágenes aleatorias de tejido con cáncer y 20 de tejido sano\n",
+        "fig = plt.figure(figsize=(16, 8))\n",
+        "columns = 10\n",
+        "rows = 4\n",
+        "for i in range(0, columns * rows):\n",
+        "    fig.add_subplot(rows, columns, i+1)\n",
+        "    if i < 20:\n",
+        "        plt.imshow(X_images[c[i]], cmap='Greys_r')\n",
+        "        plt.title('OTRO NUM')\n",
+        "        plt.xticks([])\n",
+        "        plt.yticks([])\n",
+        "    else:\n",
+        "        plt.imshow(X_images[s[i-20]], cmap='Greys_r')\n",
+        "        plt.title('SIETE')\n",
+        "        plt.xticks([])\n",
+        "        plt.yticks([])\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "id": "iI7zXvhP1Pqk",
+        "outputId": "2de170fe-6132-4d1c-f075-71a9f5771f48",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 466
+        }
+      },
+      "execution_count": 63,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1152x576 with 40 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "fPrlo8G6PoFR",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "d7c42fc3-f2ca-4bb7-e041-5148f374edbc"
+      },
+      "source": [
+        "X_images.shape"
+      ],
+      "execution_count": 51,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(70000, 28, 28)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 51
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "hkvoYQrBdehZ"
+      },
+      "source": [
+        "Ya no hay que aplanar la matriz porque de inicio teníamos un vector por imagen. "
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "ir6ICYlTdeha",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 173
+        },
+        "outputId": "af922358-2741-42b5-ca84-61ff5ff3cb7f"
+      },
+      "source": [
+        "X.head(3)"
+      ],
+      "execution_count": 65,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "     0    1    2    3    4    5    6    7    8    9  ...  774  775  776  777  \\\n",
+              "0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
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+              "\n",
+              "   778  779  780  781  782  783  \n",
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+              "1  0.0  0.0  0.0  0.0  0.0  0.0  \n",
+              "2  0.0  0.0  0.0  0.0  0.0  0.0  \n",
+              "\n",
+              "[3 rows x 784 columns]"
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+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </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",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\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",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-9eebdadf-091a-4c01-938b-5f539117c84d 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-9eebdadf-091a-4c01-938b-5f539117c84d');\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",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 65
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "zKnFTGWhdehe"
+      },
+      "source": [
+        "## Entrenamiento utilizando perceptrón simple con conjunto de entrenamiento y prueba"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ROqxj7Qodehe"
+      },
+      "source": [
+        "### Crear subconjuntos de entrenamiento y prueba\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "oUswkFCzdehe"
+      },
+      "source": [
+        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3, shuffle=True, random_state=0)"
+      ],
+      "execution_count": 68,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "7dBpIpAXdehh",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "4b17ccc5-4dfd-4a3e-884b-56f9e9e709ea"
+      },
+      "source": [
+        "# ¿Cómo son los conjuntos de entrenamiento y prueba?\n",
+        "print(\"Training set\")\n",
+        "print(\"X: \", X_train.shape)\n",
+        "print(\"Y: \", y_train.shape)\n",
+        "unique, counts = np.unique(y_train, return_counts=True)\n",
+        "print('Otro número:', counts[0],'\\n Siete:', counts[1],'\\n')\n",
+        "\n",
+        "\n",
+        "print(\"Test set\")\n",
+        "print(\"X: \", X_test.shape)\n",
+        "print(\"Y: \", y_test.shape)\n",
+        "unique, counts = np.unique(y_test, return_counts=True)\n",
+        "print('Otro número:', counts[0],'\\nSiete:', counts[1],'\\n')"
+      ],
+      "execution_count": 71,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Training set\n",
+            "X:  (49000, 784)\n",
+            "Y:  (49000, 1)\n",
+            "Otro número: 43896 \n",
+            " Siete: 5104 \n",
+            "\n",
+            "Test set\n",
+            "X:  (21000, 784)\n",
+            "Y:  (21000, 1)\n",
+            "Otro número: 18811 \n",
+            "Siete: 2189 \n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "3amwnr4wdehi"
+      },
+      "source": [
+        "### Entrenamiento\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "TLNU0YFWXwki",
+        "outputId": "5b1c81b3-a6bb-4517-b6e1-2b7e6a0f505b"
+      },
+      "source": [
+        "model = Perceptron(max_iter = 46, random_state = 0, verbose = False) \n",
+        "model.fit(X_train,y_train)                                  \n",
+        "print(\"Iterations: \", model.n_iter_)"
+      ],
+      "execution_count": 72,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py:993: 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": "stream",
+          "name": "stdout",
+          "text": [
+            "Iterations:  14\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "h3BkKPiydehk",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "e2728fed-000a-4bac-9535-1f1be31e103a"
+      },
+      "source": [
+        "#Guardamos los coeficientes del modelo como beta\n",
+        "beta = model.coef_\n",
+        "print(beta.shape)"
+      ],
+      "execution_count": 73,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "(1, 784)\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Intercepto:\n",
+        "model.intercept_"
+      ],
+      "metadata": {
+        "id": "3HGRC-WqeSPo",
+        "outputId": "707eb54b-cb61-4ecf-d886-669d891edf32",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 75,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "array([-199.])"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 75
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "kKIwT9sTdehn"
+      },
+      "source": [
+        "y_predict = model.predict(X_test)  # pasa cada una de las imágenes de X_test por el modelo "
+      ],
+      "execution_count": 76,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "StUE3aEGdeho",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "aaee61d1-f4c8-4de4-9320-1f1419663bc5"
+      },
+      "source": [
+        "print(\"Accuracy: %.2f%%\" % (accuracy_score(y_test, y_predict)*100))"
+      ],
+      "execution_count": 77,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Accuracy: 97.69%\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "t6rmWDgfV7nO",
+        "outputId": "c91dd2f9-f76a-46c8-853d-ad5c6b58cc87"
+      },
+      "source": [
+        "print(\"Precisión conjunto entrenamiento: %.2f%%\" % (model.score(X_train, y_train)*100.0))\n",
+        "print(\"Precisión conjunto prueba: %.2f%%\" % (model.score(X_test, y_test)*100.0))"
+      ],
+      "execution_count": 78,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Precisión conjunto entrenamiento: 98.09%\n",
+            "Precisión conjunto prueba: 97.69%\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "comparacion = {'Y_Real': y_test.clase7,'Y_Prediccion':y_predict.T}\n",
+        "        \n",
+        "df = pd.DataFrame(comparacion, columns=['Y_Real','Y_Prediccion'])\n",
+        "df"
+      ],
+      "metadata": {
+        "id": "bXliKIiUf4Cd",
+        "outputId": "1078eb59-f1b2-49b3-9744-165e2fac1393",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 424
+        }
+      },
+      "execution_count": 88,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "       Y_Real  Y_Prediccion\n",
+              "10840   False         False\n",
+              "56267   False         False\n",
+              "14849   False         False\n",
+              "62726   False         False\n",
+              "47180    True          True\n",
+              "...       ...           ...\n",
+              "30500   False         False\n",
+              "27609   False         False\n",
+              "6155    False         False\n",
+              "64241   False         False\n",
+              "23910   False         False\n",
+              "\n",
+              "[21000 rows x 2 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-05a83bf3-f50f-429f-89d1-aa8e301de2d6\">\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>Y_Real</th>\n",
+              "      <th>Y_Prediccion</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>10840</th>\n",
+              "      <td>False</td>\n",
+              "      <td>False</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>56267</th>\n",
+              "      <td>False</td>\n",
+              "      <td>False</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14849</th>\n",
+              "      <td>False</td>\n",
+              "      <td>False</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>62726</th>\n",
+              "      <td>False</td>\n",
+              "      <td>False</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>47180</th>\n",
+              "      <td>True</td>\n",
+              "      <td>True</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>30500</th>\n",
+              "      <td>False</td>\n",
+              "      <td>False</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>27609</th>\n",
+              "      <td>False</td>\n",
+              "      <td>False</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6155</th>\n",
+              "      <td>False</td>\n",
+              "      <td>False</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>64241</th>\n",
+              "      <td>False</td>\n",
+              "      <td>False</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>23910</th>\n",
+              "      <td>False</td>\n",
+              "      <td>False</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>21000 rows × 2 columns</p>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-05a83bf3-f50f-429f-89d1-aa8e301de2d6')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </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",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\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",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-05a83bf3-f50f-429f-89d1-aa8e301de2d6 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-05a83bf3-f50f-429f-89d1-aa8e301de2d6');\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",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 88
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "confusion_matrix = pd.crosstab(df['Y_Real'], df['Y_Prediccion'], rownames=['Real'], colnames=['Predicted'])\n",
+        "sns.heatmap(confusion_matrix, annot=True, fmt='g')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "id": "9w3bFDEQgNX9",
+        "outputId": "cc812b24-634a-4c6e-e42d-7a236d1d8447",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 279
+        }
+      },
+      "execution_count": 90,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 432x288 with 2 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "h8_DtNTIdehu"
+      },
+      "source": [
+        "## Entrenamiento de perceptron utilizando margen"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Gxmtpgu7jpXm",
+        "outputId": "3af0fd79-1127-4a89-97fd-7f0e846b8957"
+      },
+      "source": [
+        "model2 = Perceptron(max_iter=1000,  random_state=0, verbose=False, \n",
+        "                    penalty='l2',  alpha=0.0001) \n",
+        "model2.fit(X_train,y_train)                                  \n",
+        "\n",
+        "print(\"Precisión conjunto entrenamiento: %.2f%%\" % (model2.score(X_train, y_train)*100.0))\n",
+        "print(\"Precisión conjunto prueba: %.2f%%\" % (model2.score(X_test, y_test)*100.0))"
+      ],
+      "execution_count": 91,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py:993: 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": "stream",
+          "name": "stdout",
+          "text": [
+            "Precisión conjunto entrenamiento: 97.84%\n",
+            "Precisión conjunto prueba: 97.66%\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "model3 = Perceptron(max_iter=1000,  random_state=0, verbose=False, \n",
+        "                    penalty='l2', alpha=0.000005) \n",
+        "\n",
+        "model3.fit(X_train,y_train)  \n",
+        "\n",
+        "print(\"Precisión conjunto entrenamiento: %.2f%%\" % (model3.score(X_train, y_train)*100.0))\n",
+        "print(\"Precisión conjunto prueba: %.2f%%\" % (model3.score(X_test, y_test)*100.0))"
+      ],
+      "metadata": {
+        "id": "pJxejO9I43OJ",
+        "outputId": "119295f2-d0e3-4c9c-d725-b07f907a71ae",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 92,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py:993: 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": "stream",
+          "name": "stdout",
+          "text": [
+            "Precisión conjunto entrenamiento: 97.83%\n",
+            "Precisión conjunto prueba: 97.48%\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "model4 = Perceptron(max_iter=1000,  random_state=0, verbose=False, \n",
+        "                    penalty='l2', alpha=0.000001) \n",
+        "model4.fit(X_train,y_train) \n",
+        "\n",
+        "print(\"Precisión conjunto entrenamiento: %.2f%%\" % (model4.score(X_train, y_train)*100.0))\n",
+        "print(\"Precisión conjunto prueba: %.2f%%\" % (model4.score(X_test, y_test)*100.0))"
+      ],
+      "metadata": {
+        "id": "wkYOX_1j5CLk",
+        "outputId": "b5444296-43b1-46e0-9ee5-7c4e76d9d082",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 93,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py:993: 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": "stream",
+          "name": "stdout",
+          "text": [
+            "Precisión conjunto entrenamiento: 98.03%\n",
+            "Precisión conjunto prueba: 97.72%\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Evaluación adicional\n",
+        "\n",
+        "Precision Score"
+      ],
+      "metadata": {
+        "id": "kNoI4Hn5_9_s"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.metrics import precision_score, recall_score"
+      ],
+      "metadata": {
+        "id": "psqVkg7pAJs6"
+      },
+      "execution_count": 94,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "The precision is the ratio tp / (tp + fp) where tp is the number of true positives and fp the number of false positives. The precision is intuitively the ability of the classifier not to label as positive a sample that is negative.\n",
+        "\n",
+        "The best value is 1 and the worst value is 0."
+      ],
+      "metadata": {
+        "id": "hHzTuCa0FQo7"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "precision_score(y_test, model.predict(X_test))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "NVTbWrc5B_gk",
+        "outputId": "d4561855-38f4-485e-9134-704faa25ddba"
+      },
+      "execution_count": 95,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "0.8837314105452907"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 95
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "The recall is the ratio tp / (tp + fn) where tp is the number of true positives and fn the number of false negatives. The recall is intuitively the ability of the classifier to find all the positive samples.\n",
+        "\n",
+        "The best value is 1 and the worst value is 0."
+      ],
+      "metadata": {
+        "id": "9I26kgRJFI7u"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "recall_score(y_test, model.predict(X_test))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "xjt2oFzADoQx",
+        "outputId": "84ae7ef6-5f1e-42b4-f964-977f3fe96ec5"
+      },
+      "execution_count": 96,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "0.89584285061672"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 96
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "metadata": {
+        "id": "-UFQnhKLK2lL"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file