Skin_cancer_Detection.ipynb

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      "source": [
        "import os\n",
        "import gc\n",
        "import json\n",
        "import math\n",
        "import cv2\n",
        "import PIL\n",
        "import re\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "from PIL import Image\n",
        "import tensorflow as tf\n",
        "from tensorflow.keras import layers\n",
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.optimizers import Adam\n",
        "import matplotlib.pyplot as plt\n",
        "#from sklearn.metrics import cohen_kappa_score, accuracy_score\n",
        "import scipy\n",
        "from tqdm import tqdm\n",
        "%matplotlib inline\n",
        "#from keras.preprocessing import image\n",
        "import glob\n",
        "import tensorflow.keras.applications.densenet as dense\n",
        "import seaborn as sns"
      ]
    },
    {
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      "source": [
        "import pandas as pd\n",
        "\n",
        "train_file_path = '/content/train.csv.zip'\n",
        "test_file_path = '/content/test.csv'\n",
        "\n",
        "train_df = pd.read_csv(train_file_path)\n",
        "test_df = pd.read_csv(test_file_path)\n",
        "\n",
        "print('Training data shape: ', train_df.shape)\n",
        "print(' ')\n",
        "print('Test data shape: ', test_df.shape)\n",
        "print(' ')\n",
        "\n",
        "display(train_df.head(5))\n",
        "\n",
        "display(test_df.head(5))"
      ],
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          "name": "stdout",
          "text": [
            "Training data shape:  (33126, 8)\n",
            " \n",
            "Test data shape:  (10982, 5)\n",
            " \n"
          ]
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            "text/plain": [
              "     image_name  patient_id     sex  age_approx anatom_site_general_challenge  \\\n",
              "0  ISIC_2637011  IP_7279968    male        45.0                     head/neck   \n",
              "1  ISIC_0015719  IP_3075186  female        45.0               upper extremity   \n",
              "2  ISIC_0052212  IP_2842074  female        50.0               lower extremity   \n",
              "3  ISIC_0068279  IP_6890425  female        45.0                     head/neck   \n",
              "4  ISIC_0074268  IP_8723313  female        55.0               upper extremity   \n",
              "\n",
              "  diagnosis benign_malignant  target  \n",
              "0   unknown           benign       0  \n",
              "1   unknown           benign       0  \n",
              "2     nevus           benign       0  \n",
              "3   unknown           benign       0  \n",
              "4   unknown           benign       0  "
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              "     image_name  patient_id     sex  age_approx anatom_site_general_challenge\n",
              "0  ISIC_0052060  IP_3579794    male        70.0                           NaN\n",
              "1  ISIC_0052349  IP_7782715    male        40.0               lower extremity\n",
              "2  ISIC_0058510  IP_7960270  female        55.0                         torso\n",
              "3  ISIC_0073313  IP_6375035  female        50.0                         torso\n",
              "4  ISIC_0073502  IP_0589375  female        45.0               lower extremity"
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-812102a0-e041-45ca-9435-3462fa34bb89');\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",
              "\n",
              "\n",
              "<div id=\"df-6cd39156-05c7-4320-9b84-32e0b65735f4\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6cd39156-05c7-4320-9b84-32e0b65735f4')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-6cd39156-05c7-4320-9b84-32e0b65735f4 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E5iWY1z__jqV",
        "outputId": "c4eb92fb-e8d3-4391-cf96-36b616e88c4c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 10982 entries, 0 to 10981\n",
            "Data columns (total 5 columns):\n",
            " #   Column                         Non-Null Count  Dtype  \n",
            "---  ------                         --------------  -----  \n",
            " 0   image_name                     10982 non-null  object \n",
            " 1   patient_id                     10982 non-null  object \n",
            " 2   sex                            10982 non-null  object \n",
            " 3   age_approx                     10982 non-null  float64\n",
            " 4   anatom_site_general_challenge  10631 non-null  object \n",
            "dtypes: float64(1), object(4)\n",
            "memory usage: 429.1+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Assuming you have a CSV file named 'your_data.csv'\n",
        "train = pd.read_csv('/content/train.csv.zip')\n",
        "\n",
        "# Now you can use the 'train' DataFrame\n",
        "train['benign_malignant'].value_counts(normalize=True)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AQgqRefhXwMr",
        "outputId": "9bef9ea5-63b6-4eec-c804-6a807a45ada5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "benign       0.98237\n",
              "malignant    0.01763\n",
              "Name: benign_malignant, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train['sex'].value_counts(normalize=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QzA4pi0IYdLX",
        "outputId": "0f07ad05-6e4f-4c14-e3aa-5830973e8b5d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "male      0.516621\n",
              "female    0.483379\n",
              "Name: sex, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train['target'].groupby(train['sex']).mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7pMHjA3sYiFL",
        "outputId": "8f68c234-b073-468a-d0d8-63921f05c909"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "sex\n",
              "female    0.013766\n",
              "male      0.021311\n",
              "Name: target, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train['target'].groupby(train['age_approx']).mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZLv5-uSpYpc5",
        "outputId": "65a3cf21-c085-4e02-de56-38ad49d53e07"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "age_approx\n",
              "0.0     0.000000\n",
              "10.0    0.000000\n",
              "15.0    0.015152\n",
              "20.0    0.009160\n",
              "25.0    0.010363\n",
              "30.0    0.010178\n",
              "35.0    0.008772\n",
              "40.0    0.006711\n",
              "45.0    0.012091\n",
              "50.0    0.012412\n",
              "55.0    0.016736\n",
              "60.0    0.020062\n",
              "65.0    0.027701\n",
              "70.0    0.029472\n",
              "75.0    0.063201\n",
              "80.0    0.085919\n",
              "85.0    0.060403\n",
              "90.0    0.200000\n",
              "Name: target, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "plt.figure(figsize=(5, 3))\n",
        "sns.countplot(x=train['age_approx'], hue=train['target'])\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 311
        },
        "id": "FNkxRTqBY070",
        "outputId": "04cf0e50-ce7f-4c30-c97a-b8e6e28caa71"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x300 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train['anatom_site_general_challenge'].value_counts(normalize=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-YRR1bETY_TH",
        "outputId": "fa9f17ed-ba02-45a6-9011-9a54a198b1f1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torso              0.516734\n",
              "lower extremity    0.258198\n",
              "upper extremity    0.152857\n",
              "head/neck          0.056904\n",
              "palms/soles        0.011503\n",
              "oral/genital       0.003804\n",
              "Name: anatom_site_general_challenge, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train['target'].groupby(train['anatom_site_general_challenge']).mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kPUlQxyBZCPu",
        "outputId": "4d62cbd2-3a8a-4161-c198-ee4e43eea92c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "anatom_site_general_challenge\n",
              "head/neck          0.039892\n",
              "lower extremity    0.014732\n",
              "oral/genital       0.032258\n",
              "palms/soles        0.013333\n",
              "torso              0.015257\n",
              "upper extremity    0.022276\n",
              "Name: target, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_df = train[['sex','age_approx','anatom_site_general_challenge','diagnosis','target']]\n",
        "train_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "OUlW_grEZXTI",
        "outputId": "a3f13a3d-214d-4904-bd51-ba149be21198"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      sex  age_approx anatom_site_general_challenge diagnosis  target\n",
              "0    male        45.0                     head/neck   unknown       0\n",
              "1  female        45.0               upper extremity   unknown       0\n",
              "2  female        50.0               lower extremity     nevus       0\n",
              "3  female        45.0                     head/neck   unknown       0\n",
              "4  female        55.0               upper extremity   unknown       0"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-54ad9d7f-43a4-4025-b17f-09e976784ade\" 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>sex</th>\n",
              "      <th>age_approx</th>\n",
              "      <th>anatom_site_general_challenge</th>\n",
              "      <th>diagnosis</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>male</td>\n",
              "      <td>45.0</td>\n",
              "      <td>head/neck</td>\n",
              "      <td>unknown</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>female</td>\n",
              "      <td>45.0</td>\n",
              "      <td>upper extremity</td>\n",
              "      <td>unknown</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>female</td>\n",
              "      <td>50.0</td>\n",
              "      <td>lower extremity</td>\n",
              "      <td>nevus</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>female</td>\n",
              "      <td>45.0</td>\n",
              "      <td>head/neck</td>\n",
              "      <td>unknown</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>female</td>\n",
              "      <td>55.0</td>\n",
              "      <td>upper extremity</td>\n",
              "      <td>unknown</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-54ad9d7f-43a4-4025-b17f-09e976784ade')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-54ad9d7f-43a4-4025-b17f-09e976784ade 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-54ad9d7f-43a4-4025-b17f-09e976784ade');\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",
              "\n",
              "\n",
              "<div id=\"df-c236959a-d6f9-4744-acb3-487e58662751\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c236959a-d6f9-4744-acb3-487e58662751')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c236959a-d6f9-4744-acb3-487e58662751 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import LabelEncoder\n",
        "le = LabelEncoder()\n",
        "train_df = train_df.apply(lambda col: le.fit_transform(col.astype(str)), axis=0, result_type='expand')\n",
        "train_df.head()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "nrhHH0-hZam-",
        "outputId": "4b5dd39c-e897-4474-a829-6ccadf82e659"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   sex  age_approx  anatom_site_general_challenge  diagnosis  target\n",
              "0    1           8                              0          8       0\n",
              "1    0           8                              6          8       0\n",
              "2    0           9                              1          5       0\n",
              "3    0           8                              0          8       0\n",
              "4    0          10                              6          8       0"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6b9f9e44-dbef-4141-8e97-67137206c0b0\" 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>sex</th>\n",
              "      <th>age_approx</th>\n",
              "      <th>anatom_site_general_challenge</th>\n",
              "      <th>diagnosis</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
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              "      <td>6</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>9</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
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              "      <td>10</td>\n",
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              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6b9f9e44-dbef-4141-8e97-67137206c0b0')\"\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 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-6b9f9e44-dbef-4141-8e97-67137206c0b0 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-6b9f9e44-dbef-4141-8e97-67137206c0b0');\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",
              "\n",
              "\n",
              "<div id=\"df-d8a1cf47-8fc3-4cc5-bdcb-b45b8a6cfe04\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d8a1cf47-8fc3-4cc5-bdcb-b45b8a6cfe04')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d8a1cf47-8fc3-4cc5-bdcb-b45b8a6cfe04 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def check_melanoma_status(image_name):\n",
        "    row = train_df[train_df['image_name'] == image_name]\n",
        "\n",
        "    if not row.empty:\n",
        "        melanoma_status = row.iloc[0]['target']\n",
        "\n",
        "        if melanoma_status == 1:\n",
        "            print(f\"The image '{image_name}' is classified as melanoma.\")\n",
        "        else:\n",
        "            print(f\"The image '{image_name}' is not classified as melanoma.\")\n",
        "    else:\n",
        "        print(f\"Image '{image_name}' not found in the training data.\")\n",
        "\n",
        "# Example: Replace 'your_image_name.jpg' with the actual image name you want to check\n",
        "image_to_check = 'ISIC_0075914'\n",
        "check_melanoma_status(image_to_check)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p9BkE-EQn_52",
        "outputId": "34c71a53-7895-4284-8e92-2e21beed97bf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The image 'ISIC_0075914' is not classified as melanoma.\n"
          ]
        }
      ]
    }
  ]
}