TOUR_AND_TRAVEL_CUSTOMER_CHURN_PREDICTION.ipynb

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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **TOUR AND TRAVEL CUSTOMER CHURN PREDICTION**\n",
        "\n",
        "In the competitive tour and travel industry, retaining customers is crucial for long-term success. Predicting customer churn enables businesses to identify those at risk of leaving, allowing them to implement proactive retention strategies.\n",
        "\n",
        "### **Business Problem**\n",
        "\n",
        "The goal was to build a predictive model that identifies customers likely to churn. By predicting churn, companies can optimize their resources and focus on keeping at-risk customers, ultimately reducing revenue loss.\n",
        "\n",
        "### **Steps Taken**\n",
        "\n",
        "1. **Data Exploration**:\n",
        "   - Analyzed the dataset to detect patterns.\n",
        "\n",
        "2. **Data Preprocessing**:\n",
        "   - Converted categorical variables to numerical ones using Label Encoding.\n",
        "   - Scaled features like `Age` and `ServicesOpted` for better model accuracy.\n",
        "\n",
        "3. **Model Building**:\n",
        "   - Compared three models: **Logistic Regression**, **Random Forest**, and **Decision Tree**.\n",
        "   - Evaluated each model based on metrics like accuracy, precision, recall, and F1-score.\n",
        "\n",
        "4. **Feature Importance Analysis**:\n",
        "   - Identified key factors influencing churn, with `ServicesOpted` and `FrequentFlyer` being the most significant.\n",
        "\n",
        "5. **Interactivity**:\n",
        "   - Developed an interactive tool using the best model, allowing users to predict customer churn based on input data.\n",
        "\n",
        "### **Results and Statistics**\n",
        "\n",
        "- The **Decision Tree** emerged as the best model with **91% accuracy**.\n",
        "- The top predictors of churn were **`ServicesOpted`**, followed by **`FrequentFlyer`** and **`Age`**."
      ],
      "metadata": {
        "id": "8duO40cFJCVy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Imports\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import LabelEncoder, StandardScaler\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import classification_report, accuracy_score, confusion_matrix, ConfusionMatrixDisplay, precision_score, recall_score, f1_score\n",
        "\n",
        "#For Interactivity\n",
        "import ipywidgets as widgets\n",
        "from IPython.display import display, HTML\n",
        "\n",
        "#Ignore Warnings\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
      "metadata": {
        "id": "Wt_2ER_0J6bm"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "qsISx-EcI1Q_",
        "outputId": "61411955-7de8-485e-ea2e-9cea9308bd70"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset URL: https://www.kaggle.com/datasets/tejashvi14/tour-travels-customer-churn-prediction\n",
            "License(s): CC0-1.0\n",
            "Downloading tour-travels-customer-churn-prediction.zip to /content\n",
            "  0% 0.00/3.45k [00:00<?, ?B/s]\n",
            "100% 3.45k/3.45k [00:00<00:00, 4.90MB/s]\n"
          ]
        }
      ],
      "source": [
        "#Download Data Set\n",
        "!kaggle datasets download -d tejashvi14/tour-travels-customer-churn-prediction"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Unzip Data Set\n",
        "!unzip tour-travels-customer-churn-prediction.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "TgyAF67WJP1a",
        "outputId": "a523cd69-1317-4ae1-ee58-8abd354f1e32"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  tour-travels-customer-churn-prediction.zip\n",
            "  inflating: Customertravel.csv      \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Load the dataset\n",
        "df = pd.read_csv('Customertravel.csv')\n",
        "\n",
        "# Display the first few rows\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "LtOnPBtlJz6z",
        "outputId": "a5776296-4f5b-4587-8c85-954501afc7c4"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Age FrequentFlyer AnnualIncomeClass  ServicesOpted  \\\n",
              "0   34            No     Middle Income              6   \n",
              "1   34           Yes        Low Income              5   \n",
              "2   37            No     Middle Income              3   \n",
              "3   30            No     Middle Income              2   \n",
              "4   30            No        Low Income              1   \n",
              "\n",
              "  AccountSyncedToSocialMedia BookedHotelOrNot  Target  \n",
              "0                         No              Yes       0  \n",
              "1                        Yes               No       1  \n",
              "2                        Yes               No       0  \n",
              "3                         No               No       0  \n",
              "4                         No               No       0  "
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 954,\n  \"fields\": [\n    {\n      \"column\": \"Age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3,\n        \"min\": 27,\n        \"max\": 38,\n        \"num_unique_values\": 11,\n        \"samples\": [\n          28,\n          34,\n          33\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FrequentFlyer\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"No\",\n          \"Yes\",\n          \"No Record\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AnnualIncomeClass\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Middle Income\",\n          \"Low Income\",\n          \"High Income\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ServicesOpted\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 1,\n        \"max\": 6,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          6,\n          5,\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AccountSyncedToSocialMedia\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Yes\",\n          \"No\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"BookedHotelOrNot\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"No\",\n          \"Yes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Target\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Check for missing values\n",
        "print(df.isnull().sum())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "GkTf7Yo2LPt_",
        "outputId": "39fe9735-29b3-4558-cfd5-b84352c9c2f7"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Age                           0\n",
            "FrequentFlyer                 0\n",
            "AnnualIncomeClass             0\n",
            "ServicesOpted                 0\n",
            "AccountSyncedToSocialMedia    0\n",
            "BookedHotelOrNot              0\n",
            "Target                        0\n",
            "dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "No missing values therefore we proceed."
      ],
      "metadata": {
        "id": "l1WbC4rgiLm9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Check the data types and null values\n",
        "print(df.info())\n",
        "\n",
        "# Statistical summary\n",
        "print(df.describe())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "sD38AXg-J_Ia",
        "outputId": "bdaf5c50-a19c-4ccd-c559-909f606bcf20"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 954 entries, 0 to 953\n",
            "Data columns (total 7 columns):\n",
            " #   Column                      Non-Null Count  Dtype \n",
            "---  ------                      --------------  ----- \n",
            " 0   Age                         954 non-null    int64 \n",
            " 1   FrequentFlyer               954 non-null    object\n",
            " 2   AnnualIncomeClass           954 non-null    object\n",
            " 3   ServicesOpted               954 non-null    int64 \n",
            " 4   AccountSyncedToSocialMedia  954 non-null    object\n",
            " 5   BookedHotelOrNot            954 non-null    object\n",
            " 6   Target                      954 non-null    int64 \n",
            "dtypes: int64(3), object(4)\n",
            "memory usage: 52.3+ KB\n",
            "None\n",
            "              Age  ServicesOpted      Target\n",
            "count  954.000000     954.000000  954.000000\n",
            "mean    32.109015       2.437107    0.234801\n",
            "std      3.337388       1.606233    0.424097\n",
            "min     27.000000       1.000000    0.000000\n",
            "25%     30.000000       1.000000    0.000000\n",
            "50%     31.000000       2.000000    0.000000\n",
            "75%     35.000000       4.000000    0.000000\n",
            "max     38.000000       6.000000    1.000000\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot Distributions of Categorical Data\n",
        "plt.figure(figsize=(12, 5))\n",
        "\n",
        "# Plot distribution of 'FrequentFlyer'\n",
        "plt.subplot(1, 2, 1)\n",
        "sns.countplot(x='FrequentFlyer', data=df, palette='coolwarm')\n",
        "plt.title('Distribution of FrequentFlyer')\n",
        "plt.xlabel('Frequent Flyer')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "# Plot distribution of 'AnnualIncomeClass'\n",
        "plt.subplot(1, 2, 2)\n",
        "sns.countplot(x='AnnualIncomeClass', data=df, palette='coolwarm')\n",
        "plt.title('Distribution of AnnualIncomeClass')\n",
        "plt.xlabel('Annual Income Class')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "# Show the plots\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 401
        },
        "id": "j10V2S-wLZp6",
        "outputId": "1e310e9d-68e9-4cf1-c2ae-f3f6caf94c0a"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "In this data set we have a majority of No frequent flyers and Middle Income class."
      ],
      "metadata": {
        "id": "MQKGamKth-De"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot distribution of churn vs. non-churn (Numeric)\n",
        "sns.countplot(x='Target', data=df)\n",
        "plt.title('Distribution of Churn vs. Non-Churn')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "XISYzOWnLpnt",
        "outputId": "4ad8f927-c0ca-4c0d-f95f-33b69ce79e54"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "This data set contains a majority of customers who did not churn."
      ],
      "metadata": {
        "id": "1dB-Sq_kdo_u"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Visualize potential outliers in Age\n",
        "numerical_columns = ['Age']\n",
        "\n",
        "for col in numerical_columns:\n",
        "    plt.figure(figsize=(8, 4))\n",
        "    sns.boxplot(df[col])\n",
        "    plt.title(f'Boxplot of {col}')\n",
        "    plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 372
        },
        "id": "IBTtTTzVLT2R",
        "outputId": "530da834-c0c9-4617-c338-68f92a81469e"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": 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WrFmjefPm6S9/+YtuuummCs9X0YprdHQ0lwqgQWPF9dpy6NAhpaWlaebMmWrfvr3d46COsOKKhqyqlwrYHq4/NmDAAHXs2FG//vWvFRsbq127dqlr164Br8fGxuq1116r0vm4xhVAQ7Nv3z6NHz+eFTgADUZVe63e3cfV5/PJ6/XqzJkzkqTg4MARQ0JC5PP57BgNAAAANrL1GtfU1FQlJSUpJiZGJSUlWrZsmfLy8pSbm6suXbooNjZWEyZM0Ny5c9WiRQutWbNGGzZs0J///Gc7xwYAAIANbA3X48ePa/To0Tp69KhcLpcSEhKUm5urgQMHSpLWrVunJ598UsnJyTp9+rRiY2O1ePFiDRkyxM6xAQAAYANbwzUzM/Oyr3fq1IlvygIAAICkeniNKwAAAFARwhUAAABGIFwBAABgBMIVAAAARiBcAQAAYATCFQAAAEYgXAEAAGAEwhUAAABGIFwBAABgBMIVAAAARiBcAQAAYATCFQAAAEYgXAEAAGAEwhUAAABGIFwBAABgBMIVAAAARiBcAQAAYATCFQAAAEYgXAEAAGAEwhUAAABGIFwBAABgBMIVAAAARiBcAQAAYATCFQAAAEYgXAEAAGAEwhUAAABGIFwBAABgBMIVAAAARiBcAQAAYATCFQAAAEYgXAEAAGAEwhUAAABGIFwBAABgBMIVAAAARiBcAQAAYATCFQAAAEYgXAEAAGAEwhUAAABGIFwBAABgBMIVAAAARrA1XDMyMpSQkCCn0ymn06nExETl5OQE7PPpp5+qX79+Cg8Pl9PpVO/evXX27FmbJgYAAIBdbA3Xdu3aKT09Xfn5+dqxY4f69eunoUOHavfu3ZL+Ea333HOPBg0apM8++0zbt2/X5MmTFRzMQjEAAMC1JtTON09OTg54npaWpoyMDG3dulVdu3bV9OnTNXXqVD355JP+feLi4up6TAAAANQD9Wbpsry8XMuXL1dpaakSExN1/Phxbdu2Ta1atVKvXr3UunVr3X333dq8efNlz+P1euXxeAIeAAAAMJ/t4VpYWKiIiAg5HA49+uijys7OVnx8vL766itJ0uzZs/WrX/1KH3zwgW655Rb1799f+/fvr/R8c+bMkcvl8j+io6Pr6kcBAABALbI9XOPi4lRQUKBt27Zp4sSJGjNmjPbs2SOfzydJmjBhgh555BF1795d8+bNU1xcnN54441Kz5eamiq32+1/HD58uK5+FAAAANQiW69xlaSwsDDFxsZKknr06KHt27drwYIF/uta4+PjA/a/8cYbVVRUVOn5HA6HHA5H7Q0MAAAAW9i+4vpjPp9PXq9XHTp0UFRUlPbu3Rvw+r59+9S+fXubpgMAAIBdbF1xTU1NVVJSkmJiYlRSUqJly5YpLy9Pubm5CgoK0hNPPKFZs2bp5ptvVrdu3bR48WJ9+eWXWrVqlZ1jAwAAwAa2huvx48c1evRoHT16VC6XSwkJCcrNzdXAgQMlSdOmTVNZWZmmT5+uU6dO6eabb9aGDRvUsWNHO8cGAACADWwN18zMzJ/c58knnwy4jysAAACuTfXuGlcAAACgIoQrAAAAjEC4AgAAwAiEKwAAAIxAuAIAAMAIhCsAAACMQLgCAADACIQrAAAAjEC4AgAAwAiEKwAAAIxAuAIAAMAIhCsAAACMQLgCAADACIQrAAAAjEC4AgAAwAiEKwAAAIxAuAIAAMAIhCsAAACMEGr3AKg9xcXFcrvddo8BoIYdOnQo4J8AGhaXy6XWrVvbPUa9FGRZlmX3ELXJ4/HI5XLJ7XbL6XTaPU6dKS4u1kMPj9b5c167RwEAANXQKMyht5b88ZqK16r2GiuuDZTb7db5c16dveFu+Rq77B4HAABUQXCZW/pqk9xu9zUVrlVFuDZwvsYu+cKvs3sMAACAq8aHswAAAGAEwhUAAABGIFwBAABgBMIVAAAARiBcAQAAYATCFQAAAEYgXAEAAGAEwhUAAABGIFwBAABgBMIVAAAARiBcAQAAYATCFQAAAEYgXAEAAGAEwhUAAABGIFwBAABgBMIVAAAARiBcAQAAYATCFQAAAEawNVwzMjKUkJAgp9Mpp9OpxMRE5eTkXLKfZVlKSkpSUFCQ1qxZU/eDAgAAwHa2hmu7du2Unp6u/Px87dixQ/369dPQoUO1e/fugP3mz5+voKAgm6YEAABAfRBq55snJycHPE9LS1NGRoa2bt2qrl27SpIKCgr00ksvaceOHWrbtq0dYwIAAKAesDVcf6i8vFwrV65UaWmpEhMTJUlnzpzRz3/+c7366qtq06ZNlc7j9Xrl9Xr9zz0eT63MCwAAgLpl+4ezCgsLFRERIYfDoUcffVTZ2dmKj4+XJE2fPl29evXS0KFDq3y+OXPmyOVy+R/R0dG1NToAAADqkO0rrnFxcSooKJDb7daqVas0ZswYbdq0SQcOHNBHH32knTt3Vut8qampmjFjhv+5x+MhXgEAABoA28M1LCxMsbGxkqQePXpo+/btWrBggZo0aaKDBw+qWbNmAfsPHz5cd911l/Ly8io8n8PhkMPhqOWpAQAAUNdsD9cf8/l88nq9euaZZzRu3LiA12666SbNmzfvkg91AQAAoOGzNVxTU1OVlJSkmJgYlZSUaNmyZcrLy1Nubq7atGlT4QeyYmJidP3119swLQAAAOxka7geP35co0eP1tGjR+VyuZSQkKDc3FwNHDjQzrEAAABQD9karpmZmdXa37KsWpoEAAAA9Z3tt8MCAAAAqoJwBQAAgBEIVwAAABiBcAUAAIARCFcAAAAYgXAFAACAEQhXAAAAGIFwBQAAgBEIVwAAABiBcAUAAIARCFcAAAAYgXAFAACAEQhXAAAAGIFwBQAAgBEIVwAAABiBcAUAAIARCFcAAAAYgXAFAACAEQhXAAAAGIFwBQAAgBGuOFzPnTunvXv36sKFCzU5DwAAAFChaofrmTNnNHbsWDVt2lRdu3ZVUVGRJGnKlClKT0+v8QEBAAAA6QrCNTU1VV988YXy8vLUuHFj//YBAwZoxYoVNTocAAAAcFFodQ9Ys2aNVqxYoZ49eyooKMi/vWvXrjp48GCNDgcAAABcVO0V1xMnTqhVq1aXbC8tLQ0IWQAAAKAmVTtc/+3f/k3vv/++//nFWP3DH/6gxMTEmpsMAAAA+IFqXyrwu9/9TklJSdqzZ48uXLigBQsWaM+ePdqyZYs2bdpUGzMCAAAA1V9xvfPOO1VQUKALFy7opptu0vr169WqVSt9+umn6tGjR23MCAAAAFR/xVWSOnbsqEWLFtX0LAAAAEClqh2uHo+nwu1BQUFyOBwKCwu76qEAAACAH6t2uDZr1uyydw9o166dUlJSNGvWLAUH842yAAAAqBnVDtesrCzNnDlTKSkpuu222yRJn332mRYvXqynn35aJ06c0Ny5c+VwOPTUU0/V+MAAAAC4NlU7XBcvXqyXXnpJI0eO9G9LTk7WTTfdpNdff10ffvihYmJilJaWRrgCAACgxlT77/K3bNmi7t27X7K9e/fu+vTTTyX9484DRUVFVz8dAAAA8E/VDtfo6GhlZmZesj0zM1PR0dGSpG+//Vb/8i//cvXTAQAAAP9U7UsF5s6dqxEjRignJ0e33nqrJGnHjh3629/+ptWrV0uStm/frlGjRtXspAAAALimVTtc77vvPu3du1evvfaa9u3bJ0lKSkrSmjVrdPr0aUnSxIkTa3ZKAAAAXPOu6AsIOnTooPT0dEn/uK/r22+/rVGjRmnHjh0qLy+v0QEBAAAA6Qqucb3ok08+0ZgxYxQVFaWXXnpJffv21datW2tyNgAAAMCvWiuux44dU1ZWljIzM+XxeDRy5Eh5vV6tWbNG8fHxtTUjAAAAUPUV1+TkZMXFxemvf/2r5s+fryNHjujll1++qjfPyMhQQkKCnE6nnE6nEhMTlZOTI0k6deqUpkyZori4ODVp0kQxMTGaOnWq3G73Vb0nAAAAzFTlFdecnBxNnTpVEydOVKdOnWrkzdu1a6f09HR16tRJlmVp8eLFGjp0qHbu3CnLsnTkyBHNnTtX8fHxOnTokB599FEdOXJEq1atqpH3BwAAgDmqvOK6efNmlZSUqEePHrr99tv1yiuv6OTJk1f15snJyRoyZIg6deqkzp07Ky0tTREREdq6dat+9rOfafXq1UpOTlbHjh3Vr18/paWl6b333tOFCxeu6n0BAABgniqHa8+ePbVo0SIdPXpUEyZM0PLlyxUVFSWfz6cNGzaopKTkqgYpLy/X8uXLVVpaqsTExAr3cbvdcjqdCg2tfKHY6/XK4/EEPAAAAGC+at9VIDw8XL/85S+1efNmFRYW6vHHH1d6erpatWql++67r9oDFBYWKiIiQg6HQ48++qiys7Mr/KDXyZMn9dvf/lbjx4+/7PnmzJkjl8vlf1z8Ni8AAACY7YpvhyVJcXFxeuGFF/R///d/evvtt6/4HAUFBdq2bZsmTpyoMWPGaM+ePQH7eDwe3XvvvYqPj9fs2bMve77U1FS53W7/4/Dhw1c0FwAAAOqXK/oCgh8LCQnRsGHDNGzYsGofGxYWptjYWElSjx49tH37di1YsECvv/66JKmkpET33HOPIiMjlZ2drUaNGl32fA6HQw6Ho9pzAAAAoH67qhXX2uDz+eT1eiX9Y6V10KBBCgsL07vvvqvGjRvbPB0AAADsUiMrrlcqNTVVSUlJiomJUUlJiZYtW6a8vDzl5ub6o/XMmTN66623Aj5o1bJlS4WEhNg5OgAAAOqYreF6/PhxjR49WkePHpXL5VJCQoJyc3M1cOBA5eXladu2bZLkv5Tgoq+//lodOnSwYWIAAADYxdZwzczMrPS1Pn36yLKsOpwGAAAA9Vm9u8YVAAAAqAjhCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwAuEKAAAAIxCuAAAAMALhCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwAuEKAAAAIxCuAAAAMALhCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwQqjdA6B2BZ/93u4RAABAFfHn9uURrg1ck68/sXsEAACAGkG4NnBnr+8tX5Nmdo8BAACqIPjs9yw6XQbh2sD5mjSTL/w6u8cAAAC4anw4CwAAAEYgXAEAAGAEwhUAAABGIFwBAABgBMIVAAAARiBcAQAAYATCFQAAAEYgXAEAAGAEwhUAAABGIFwBAABgBMIVAAAARiBcAQAAYATCFQAAAEYgXAEAAGAEwhUAAABGIFwBAABgBMIVAAAARiBcAQAAYARbwzUjI0MJCQlyOp1yOp1KTExUTk6O//WysjJNmjRJLVq0UEREhIYPH67i4mIbJwYAAIBdbA3Xdu3aKT09Xfn5+dqxY4f69eunoUOHavfu3ZKk6dOn67333tPKlSu1adMmHTlyRPfff7+dIwMAAMAmoXa+eXJycsDztLQ0ZWRkaOvWrWrXrp0yMzO1bNky9evXT5L05ptv6sYbb9TWrVvVs2dPO0YGAACATerNNa7l5eVavny5SktLlZiYqPz8fJ0/f14DBgzw79OlSxfFxMTo008/tXFSAAAA2MHWFVdJKiwsVGJiosrKyhQREaHs7GzFx8eroKBAYWFhatasWcD+rVu31rFjxyo9n9frldfr9T/3eDy1NboRgsvcdo8AAACqiD+3L8/2cI2Li1NBQYHcbrdWrVqlMWPGaNOmTVd8vjlz5uiZZ56pwQnN5HK51CjMIX115b9LAABQ9xqFOeRyueweo14KsizLsnuIHxowYIA6duyoUaNGqX///vruu+8CVl3bt2+vadOmafr06RUeX9GKa3R0tNxut5xOZ22PX68UFxfL7eb/3ICG5tChQ0pLS9PMmTPVvn17u8cBUMNcLpdat25t9xh1yuPxyOVy/WSv2b7i+mM+n09er1c9evRQo0aN9OGHH2r48OGSpL1796qoqEiJiYmVHu9wOORwOOpq3HqtdevW19x/+MC1pH379urcubPdYwBAnbE1XFNTU5WUlKSYmBiVlJRo2bJlysvLU25urlwul8aOHasZM2aoefPmcjqdmjJlihITE7mjAAAAwDXI1nA9fvy4Ro8eraNHj8rlcikhIUG5ubkaOHCgJGnevHkKDg7W8OHD5fV6NXjwYP3+97+3c2QAAADYxNZwzczMvOzrjRs31quvvqpXX321jiYCAABAfVVv7uMKAAAAXA7hCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwAuEKAAAAIxCuAAAAMALhCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwAuEKAAAAIxCuAAAAMALhCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwAuEKAAAAIxCuAAAAMALhCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwAuEKAAAAIxCuAAAAMALhCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwAuEKAAAAIxCuAAAAMALhCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwAuEKAAAAIxCuAAAAMALhCgAAACMQrgAAADAC4QoAAAAj2Bquc+bM0a233qrIyEi1atVKw4YN0969ewP2OXbsmB5++GG1adNG4eHhuuWWW7R69WqbJgYAAIBdbA3XTZs2adKkSdq6das2bNig8+fPa9CgQSotLfXvM3r0aO3du1fvvvuuCgsLdf/992vkyJHauXOnjZMDAACgroXa+eYffPBBwPOsrCy1atVK+fn56t27tyRpy5YtysjI0G233SZJevrppzVv3jzl5+ere/fudT4zAAAA7FGvrnF1u92SpObNm/u39erVSytWrNCpU6fk8/m0fPlylZWVqU+fPjZNCQAAADvYuuL6Qz6fT9OmTdMdd9yhn/3sZ/7t77zzjkaNGqUWLVooNDRUTZs2VXZ2tmJjYys8j9frldfr9T/3eDy1PjsAAABqX71ZcZ00aZJ27dql5cuXB2z/zW9+o++//14bN27Ujh07NGPGDI0cOVKFhYUVnmfOnDlyuVz+R3R0dF2MDwAAgFoWZFmWZfcQkydP1tq1a/XJJ5/o+uuv928/ePCgYmNjtWvXLnXt2tW/fcCAAYqNjdVrr712ybkqWnGNjo6W2+2W0+ms3R8EAOrAvn37NH78eC1cuFCdO3e2exwAuGoej0cul+sne83WSwUsy9KUKVOUnZ2tvLy8gGiVpDNnzkiSgoMDF4ZDQkLk8/kqPKfD4ZDD4aidgQEAAGAbW8N10qRJWrZsmdauXavIyEgdO3ZMkuRyudSkSRN16dJFsbGxmjBhgubOnasWLVpozZo12rBhg/785z/bOToAAADqmK3XuGZkZMjtdqtPnz5q27at/7FixQpJUqNGjbRu3Tq1bNlSycnJSkhI0B//+EctXrxYQ4YMsXN0AAAA1DHbLxX4KZ06deKbsgAAAFB/7ioAAAAAXA7hCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwAuEKAAAAIxCuAAAAMALhCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwAuEKAAAAIxCuAAAAMALhCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwAuEKAAAAI4TaPQCAq1dWVqaioiK7x0AdOXToUMA/cW2IiYlR48aN7R4DsBXhCjQARUVFGj9+vN1joI6lpaXZPQLq0MKFC9W5c2e7xwBsRbgCDUBMTIwWLlxo9xgAalFMTIzdIwC2I1yBBqBx48asxAAAGjw+nAUAAAAjEK4AAAAwAuEKAAAAIxCuAAAAMALhCgAAACMQrgAAADAC4QoAAAAjEK4AAAAwAuEKAAAAIxCuAAAAMEKD/8pXy7IkSR6Px+ZJAAAAUJGLnXax2yrT4MO1pKREkhQdHW3zJAAAALickpISuVyuSl8Psn4qbQ3n8/l05MgRRUZGKigoyO5xAOCqeTweRUdH6/Dhw3I6nXaPAwBXzbIslZSUKCoqSsHBlV/J2uDDFQAaGo/HI5fLJbfbTbgCuKbw4SwAAAAYgXAFAACAEQhXADCMw+HQrFmz5HA47B4FAOoU17gCAADACKy4AgAAwAiEKwAAAIxAuAIAAMAIhCsAAACMQLgCAADACIQrAAAAjEC4AgAAwAiEKwAAAIzw/wDrsiG8sMZTUgAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The age ranges from 27 to 38 with a median of 31 with no noticeable outliers."
      ],
      "metadata": {
        "id": "EebLr6wldsRZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Relationship between Age and Churn\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.boxplot(x='Target', y='Age', data=df)\n",
        "plt.title('Age vs. Churn')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "pQj-ApqiO5LC",
        "outputId": "c185de9f-9830-497a-f191-174e8302a164"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The box plot shows that while the age ranges of customers who churned and those who didn't largely overlap (28-35 vs. 30-35), the churned group skews slightly younger with a median age of 30 compared to 31 for the non-churned group."
      ],
      "metadata": {
        "id": "d_-lng4yd4Zx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Relationship between Services Opted and Churn\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.boxplot(x='Target', y='ServicesOpted', data=df)\n",
        "plt.title('Services Opted vs. Churn')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "NQeZvGGjO7oA",
        "outputId": "a7f6725e-0376-4e16-c173-36d3eba10b49"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The median number of services opted for by customers who churned is higher than those who did not. This suggests that customers who opt for more services may be more likely to churn."
      ],
      "metadata": {
        "id": "n8hj9WzDeF8s"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Convert categorical variables to numerical using LabelEncoder\n",
        "le = LabelEncoder()\n",
        "df['FrequentFlyer'] = le.fit_transform(df['FrequentFlyer'])\n",
        "df['AnnualIncomeClass'] = le.fit_transform(df['AnnualIncomeClass'])\n",
        "df['AccountSyncedToSocialMedia'] = le.fit_transform(df['AccountSyncedToSocialMedia'])\n",
        "df['BookedHotelOrNot'] = le.fit_transform(df['BookedHotelOrNot'])\n",
        "\n",
        "# Preview the data after encoding\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "_dFvjfm9Lriw",
        "outputId": "6665d5b9-6eaf-407f-950a-82a7b10f5b24"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Age  FrequentFlyer  AnnualIncomeClass  ServicesOpted  \\\n",
              "0   34              0                  2              6   \n",
              "1   34              2                  1              5   \n",
              "2   37              0                  2              3   \n",
              "3   30              0                  2              2   \n",
              "4   30              0                  1              1   \n",
              "\n",
              "   AccountSyncedToSocialMedia  BookedHotelOrNot  Target  \n",
              "0                           0                 1       0  \n",
              "1                           1                 0       1  \n",
              "2                           1                 0       0  \n",
              "3                           0                 0       0  \n",
              "4                           0                 0       0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-86a3ffa1-c17e-4804-977d-165b0fa8e45f\" 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>Age</th>\n",
              "      <th>FrequentFlyer</th>\n",
              "      <th>AnnualIncomeClass</th>\n",
              "      <th>ServicesOpted</th>\n",
              "      <th>AccountSyncedToSocialMedia</th>\n",
              "      <th>BookedHotelOrNot</th>\n",
              "      <th>Target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>34</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>34</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>37</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>30</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>30</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</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-86a3ffa1-c17e-4804-977d-165b0fa8e45f')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  }\n",
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              "</style>\n",
              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 954,\n  \"fields\": [\n    {\n      \"column\": \"Age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3,\n        \"min\": 27,\n        \"max\": 38,\n        \"num_unique_values\": 11,\n        \"samples\": [\n          28,\n          34,\n          33\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FrequentFlyer\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 2,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0,\n          2,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AnnualIncomeClass\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 2,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          2,\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ServicesOpted\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 1,\n        \"max\": 6,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          6,\n          5,\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AccountSyncedToSocialMedia\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"BookedHotelOrNot\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Target\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "All values are now numerical which is appropriate for training our model."
      ],
      "metadata": {
        "id": "fEK4ymG3iSXM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "scaler = StandardScaler()\n",
        "\n",
        "# Scale 'Age' and 'ServicesOpted'\n",
        "df[['Age', 'ServicesOpted']] = scaler.fit_transform(df[['Age', 'ServicesOpted']])"
      ],
      "metadata": {
        "id": "RGp66u6SLw24"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Using a scaler to scale the values in order to have a mean of 0 and a standard deviation of 1. This standardization helps ensure that features contribute equally to the model, especially when they have different units or scales."
      ],
      "metadata": {
        "id": "83XDUjdbihAQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Define features (X) and target (y)\n",
        "X = df.drop(columns='Target')\n",
        "y = df['Target']\n",
        "\n",
        "# Split the data into training and testing sets\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "\n",
        "print(f'Training Set Size: {X_train.shape}, Test Set Size: {X_test.shape}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "cU9uDNWFLy8o",
        "outputId": "2d563ac4-0069-4d54-8ce3-462027cadf1c"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training Set Size: (763, 6), Test Set Size: (191, 6)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Partitioned the data into train and test set."
      ],
      "metadata": {
        "id": "nrvkMRBfjA1i"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Initialize and train the model\n",
        "log_reg = LogisticRegression()\n",
        "log_reg.fit(X_train, y_train)\n",
        "\n",
        "# Predict and evaluate\n",
        "y_pred_log_reg = log_reg.predict(X_test)\n",
        "print(\"Logistic Regression Results:\")\n",
        "print(confusion_matrix(y_test, y_pred_log_reg))\n",
        "print(classification_report(y_test, y_pred_log_reg))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "FsAhAoC7L6ia",
        "outputId": "3f266e56-175b-4ebf-ad3c-a843eaa0ba2d"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Logistic Regression Results:\n",
            "[[144   9]\n",
            " [ 17  21]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.89      0.94      0.92       153\n",
            "           1       0.70      0.55      0.62        38\n",
            "\n",
            "    accuracy                           0.86       191\n",
            "   macro avg       0.80      0.75      0.77       191\n",
            "weighted avg       0.86      0.86      0.86       191\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Initialize and train the model\n",
        "decision_tree = DecisionTreeClassifier()\n",
        "decision_tree.fit(X_train, y_train)\n",
        "\n",
        "# Predict and evaluate\n",
        "y_pred_decision_tree = decision_tree.predict(X_test)\n",
        "print(\"Decision Tree Results:\")\n",
        "print(confusion_matrix(y_test, y_pred_decision_tree))\n",
        "print(classification_report(y_test, y_pred_decision_tree))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "31A37JSiL9SQ",
        "outputId": "04c042a2-2e06-4812-c48c-373865d299ee"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Decision Tree Results:\n",
            "[[148   5]\n",
            " [ 13  25]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.92      0.97      0.94       153\n",
            "           1       0.83      0.66      0.74        38\n",
            "\n",
            "    accuracy                           0.91       191\n",
            "   macro avg       0.88      0.81      0.84       191\n",
            "weighted avg       0.90      0.91      0.90       191\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Initialize and train the model\n",
        "random_forest = RandomForestClassifier()\n",
        "random_forest.fit(X_train, y_train)\n",
        "\n",
        "# Predict and evaluate\n",
        "y_pred_random_forest = random_forest.predict(X_test)\n",
        "print(\"Random Forest Results:\")\n",
        "print(confusion_matrix(y_test, y_pred_random_forest))\n",
        "print(classification_report(y_test, y_pred_random_forest))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "-2MOpyGbL-nP",
        "outputId": "3427b159-9cbd-4d36-fb78-e2b0517e9870"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Random Forest Results:\n",
            "[[145   8]\n",
            " [ 14  24]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.91      0.95      0.93       153\n",
            "           1       0.75      0.63      0.69        38\n",
            "\n",
            "    accuracy                           0.88       191\n",
            "   macro avg       0.83      0.79      0.81       191\n",
            "weighted avg       0.88      0.88      0.88       191\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Define a function to calculate and store metrics\n",
        "def model_performance(model_name, y_test, y_pred):\n",
        "    return {\n",
        "        'Model': model_name,\n",
        "        'Accuracy': accuracy_score(y_test, y_pred),\n",
        "        'Precision': precision_score(y_test, y_pred),\n",
        "        'Recall': recall_score(y_test, y_pred),\n",
        "        'F1 Score': f1_score(y_test, y_pred)\n",
        "    }\n",
        "\n",
        "# Collect performance data\n",
        "performance_data = [\n",
        "    model_performance('Logistic Regression', y_test, y_pred_log_reg),\n",
        "    model_performance('Decision Tree', y_test, y_pred_decision_tree),\n",
        "    model_performance('Random Forest', y_test, y_pred_random_forest)\n",
        "]\n",
        "\n",
        "# Convert to DataFrame for easier plotting\n",
        "import pandas as pd\n",
        "performance_df = pd.DataFrame(performance_data)\n",
        "\n",
        "# Plotting\n",
        "performance_df.set_index('Model').plot(kind='bar', figsize=(10, 6))\n",
        "plt.title('Model Performance Comparison')\n",
        "plt.ylabel('Score')\n",
        "plt.xticks(rotation=0)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "UZcCi83tMCtP",
        "outputId": "482339e9-44c7-485d-aab4-b6b06616fb02"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Find the best model based on F1 Score\n",
        "best_model = performance_df.loc[performance_df['F1 Score'].idxmax()]\n",
        "print(f\"Best Model: {best_model['Model']}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "vTNXNV0MMGn7",
        "outputId": "0ca68bcf-6e42-4952-ac26-23f211352b29"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Best Model: Decision Tree\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The F1 score was chosen to evaluate the model because it balances precision and recall, making it particularly useful for imbalanced datasets. The Decision Tree model achieved an F1 score of 0.94 for class 0 and 0.74 for class 1, with an overall weighted average F1 score of 0.90, indicating strong performance across both classes."
      ],
      "metadata": {
        "id": "qV_wnwdJ24jL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Decision Tree with 91% Accuracy\n",
        "y_pred_best = y_pred_decision_tree\n",
        "\n",
        "# Plot confusion matrix\n",
        "ConfusionMatrixDisplay.from_predictions(y_test, y_pred_best)\n",
        "plt.title(f'Confusion Matrix: {best_model[\"Model\"]}')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "mwHZKHdWQOsQ",
        "outputId": "77591dc5-e924-4869-b9d8-f59fb4daf10d"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Interpretation**\n",
        "\n",
        "- **Accuracy**: 91% – The model correctly predicts churn or non-churn 91% of the time.\n",
        "- **Non-Churn (Class 0)**:\n",
        "  - **Precision**: 92% – High accuracy in predicting non-churn.\n",
        "  - **Recall**: 97% – Very effective at identifying non-churning customers.\n",
        "- **Churn (Class 1)**:\n",
        "  - **Precision**: 83% – Good accuracy in predicting churn, but less precise than for non-churn.\n",
        "  - **Recall**: 66% – Less effective at identifying churning customers."
      ],
      "metadata": {
        "id": "jhSNcLR1ct5n"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot feature importance\n",
        "if best_model['Model'] in ['Decision Tree']:\n",
        "    feature_importance = decision_tree.feature_importances_  #Using Decision Tree (Best Model)\n",
        "    features = X.columns\n",
        "\n",
        "    # Sort feature importances in descending order\n",
        "    indices = np.argsort(feature_importance)[::-1]\n",
        "\n",
        "    # Plot feature importances\n",
        "    plt.figure(figsize=(10, 6))\n",
        "    plt.title(f'Feature Importance: {best_model[\"Model\"]}')\n",
        "    plt.bar(range(X.shape[1]), feature_importance[indices], align='center')\n",
        "    plt.xticks(range(X.shape[1]), [features[i] for i in indices], rotation=90)\n",
        "    plt.tight_layout()\n",
        "    plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 574
        },
        "id": "sc3PKEO0Qal1",
        "outputId": "416adc8d-7c8c-4717-f5e2-660212998dd5"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The feature importance ranking of the Decision Tree model shows how each factor influences the prediction of customer churn. Each feature contributes to the models prediction either weak or strong influence.\n",
        "\n",
        "### Feature Importance\n",
        "\n",
        "1. **ServicesOpted (Most Important)**:\n",
        "   - **Impact**: The number of times a customer opts for services in recent years is the strongest predictor of churn. Customers who frequently utilize services are less likely to churn, indicating that high engagement with the company's services is associated with loyalty. Strategies to increase service usage or reward frequent users could help improve retention.\n",
        "\n",
        "2. **FrequentFlyer (Second Most Important)**:\n",
        "   - **Impact**: Whether a customer takes frequent flights remains a crucial predictor. Frequent flight customers are typically more engaged and invested in the company's offerings, making them less likely to leave. Enhancing services or benefits for frequent flyers could further reduce churn.\n",
        "\n",
        "3. **Age (Third Most Important)**:\n",
        "   - **Impact**: Age continues to be a significant factor in churn prediction. Different age groups may have varying levels of engagement and different reasons for leaving. Tailoring marketing efforts and retention strategies to age demographics could be beneficial.\n",
        "\n",
        "4. **AccountSyncedToSocialMedia (Fourth)**:\n",
        "   - **Impact**: Customers with accounts synced to social media platforms show better engagement and lower churn rates. Social media connectivity might reflect higher engagement or better communication with the company, which helps in retaining customers.\n",
        "\n",
        "5. **AnnualIncomeClass (Fifth)**:\n",
        "   - **Impact**: Income classification has a moderate effect on churn. Customers in different income brackets may use services differently, impacting their likelihood to churn. Understanding income-related usage patterns can help in customizing offers and improving retention.\n",
        "\n",
        "6. **BookedHotelOrNot (Least Important)**:\n",
        "   - **Impact**: Booking a hotel has the least impact on predicting churn. Although relevant, it does not provide as strong a signal for churn as the other features. It might be useful in combination with other factors but is less critical on its own.\n",
        "\n",
        "### Actionable Insights\n",
        "To effectively reduce customer churn:\n",
        "- **Increase Service Usage**: Focus on strategies to boost the frequency of service usage, as this is the strongest predictor of customer retention.\n",
        "- **Engage Frequent Flyers**: Maintain and enhance benefits for customers who frequently take flights to keep them loyal.\n",
        "- **Tailor to Age Groups**: Customize marketing and retention strategies based on age demographics to address the specific needs and preferences of different age groups.\n",
        "- **Utilize Social Media**: Leverage social media engagement to maintain better relationships with customers and enhance their experience.\n",
        "- **Consider Income Levels**: Develop strategies considering income levels to address different spending capabilities and service usage patterns."
      ],
      "metadata": {
        "id": "FqaCAIHDa8V-"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Interactivity**\n",
        "\n",
        "- Using our top-performing Decision Tree model, this tool allows users to input customer data and receive instant churn predictions, enabling proactive measures to improve customer retention and satisfaction."
      ],
      "metadata": {
        "id": "D6YoZqrxR1XH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Define style\n",
        "style = {'description_width': 'initial'}\n",
        "layout = widgets.Layout(width='400px')  # Adjust width\n",
        "\n",
        "# Input widgets\n",
        "age_widget = widgets.IntSlider(description=\"Age:\", value=30, min=27, max=38, style=style, layout=layout)\n",
        "frequent_flyer_widget = widgets.Dropdown(options=[('No', 0), ('No Record', 1), ('Yes', 2)], description=\"Frequent Flyer:\", style=style, layout=layout)\n",
        "income_class_widget = widgets.Dropdown(options=[('High Income', 0), ('Low Income', 1), ('Middle Income', 2)], description=\"Income Class:\", style=style, layout=layout)\n",
        "services_opted_widget = widgets.IntSlider(min=1, max=6, description=\"Services Opted:\", style=style, layout=layout)\n",
        "account_synced_widget = widgets.Dropdown(options=[('No', 0), ('Yes', 1)], description=\"Account Synced to Social Media:\", style=style, layout=layout)\n",
        "booked_hotel_widget = widgets.Dropdown(options=[('No', 0), ('Yes', 1)], description=\"Booked Hotel:\", style=style, layout=layout)\n",
        "\n",
        "# Button and result label\n",
        "button = widgets.Button(description=\"Predict Churn\")\n",
        "result_label = widgets.HTML(value=\"\")\n",
        "\n",
        "# Scale user input for Age and ServicesOpted before prediction\n",
        "def on_button_click(b):\n",
        "    # Capture user input\n",
        "    input_data = pd.DataFrame({\n",
        "        'Age': [age_widget.value],\n",
        "        'FrequentFlyer': [frequent_flyer_widget.value],\n",
        "        'AnnualIncomeClass': [income_class_widget.value],\n",
        "        'ServicesOpted': [services_opted_widget.value],\n",
        "        'AccountSyncedToSocialMedia': [account_synced_widget.value],\n",
        "        'BookedHotelOrNot': [booked_hotel_widget.value]\n",
        "    })\n",
        "\n",
        "    # Apply scaling to 'Age' and 'ServicesOpted'\n",
        "    input_data[['Age', 'ServicesOpted']] = scaler.transform(input_data[['Age', 'ServicesOpted']])\n",
        "\n",
        "    # Make the prediction using the decision tree model\n",
        "    prediction = decision_tree.predict(input_data)\n",
        "\n",
        "    # Display the result\n",
        "    if prediction[0] == 1:\n",
        "        result_label.value = \"<h3 style='color:red; font-size:24px;'>The customer is likely to churn.</h3>\"\n",
        "    else:\n",
        "        result_label.value = \"<h3 style='color:green; font-size:24px;'>The customer is not likely to churn.</h3>\"\n",
        "\n",
        "# Connect the button to the function\n",
        "button.on_click(on_button_click)\n",
        "\n",
        "# Display the form\n",
        "display(age_widget, frequent_flyer_widget, income_class_widget, services_opted_widget, account_synced_widget, booked_hotel_widget, button, result_label)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 291,
          "referenced_widgets": [
            "69be608a78a142468fc93d98913545b6",
            "bbc8e215ee1547c0841fa20b174a24be",
            "5806563cc1ee4db191cabfb08344e418",
            "835f9cf0469448b7a2b0ac970fdcf9bb",
            "d3fd13eabd9a465095d3f07c65f10668",
            "71d58b43e0814cd399a1592ed73bf389",
            "d12f7093645d4cf09d580ff235da575f",
            "646a10d4ca774995b8a340a59fee4dc2",
            "6eebed46b2fa4b708cc249cbd517e76f",
            "a16519cf889643eea0f55d2aa78aa5e2",
            "4e335ad100fa4d3491c309cbaa0797fc",
            "ddd86ee3173c46ba9813efac06787c76",
            "0c1e725cea74455393f74fcd85be7191",
            "cb875bc27d1f488493744556352cfbc8",
            "82cb1f658b4e44f3867ec494fae18ef5",
            "c0260005c1f94a44a9bc088d2ba5cd09",
            "b992bedbea214b3aa64e1277feb87365",
            "ea97943c76b04da0af4bcd7ae24e1a90",
            "80f211709cda43fa8f163776968a5267"
          ]
        },
        "id": "cvUibrkaR3qy",
        "outputId": "a7d79cc6-5065-48dd-bb8c-c371947ca154"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "IntSlider(value=30, description='Age:', layout=Layout(width='400px'), max=38, min=27, style=SliderStyle(descri…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "69be608a78a142468fc93d98913545b6"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Dropdown(description='Frequent Flyer:', layout=Layout(width='400px'), options=(('No', 0), ('No Record', 1), ('…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "835f9cf0469448b7a2b0ac970fdcf9bb"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Dropdown(description='Income Class:', layout=Layout(width='400px'), options=(('High Income', 0), ('Low Income'…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "71d58b43e0814cd399a1592ed73bf389"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "IntSlider(value=1, description='Services Opted:', layout=Layout(width='400px'), max=6, min=1, style=SliderStyl…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "646a10d4ca774995b8a340a59fee4dc2"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Dropdown(description='Account Synced to Social Media:', layout=Layout(width='400px'), options=(('No', 0), ('Ye…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a16519cf889643eea0f55d2aa78aa5e2"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Dropdown(description='Booked Hotel:', layout=Layout(width='400px'), options=(('No', 0), ('Yes', 1)), style=Des…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "ddd86ee3173c46ba9813efac06787c76"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Predict Churn', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "cb875bc27d1f488493744556352cfbc8"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "HTML(value='')"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b992bedbea214b3aa64e1277feb87365"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Recommendations**\n",
        "\n",
        "For future work, addressing the class imbalance through methods like SMOTE or undersampling will enhance the model’s ability to predict churn more accurately. Additionally, incorporating more detailed features, such as customer flight frequency and service usage trends, could provide better insights into churn patterns. Exploring external factors, such as seasonality and competitive pricing, may further refine the model’s performance and offer a comprehensive approach to customer retention strategies. These improvements will help optimize predictive accuracy and provide actionable insights for businesses."
      ],
      "metadata": {
        "id": "hDBMeZgu3tat"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **More Projects and Contact Information**\n",
        "\n",
        "For more details on my projects and work, please visit my [GitHub profile](https://github.com/HiroshiJoe). You can also connect with me on [LinkedIn](https://www.linkedin.com/in/heroshi-joe-abejuela-513413314/) for professional updates and networking.\n",
        "\n",
        "Feel free to reach out if you have any questions or would like to discuss potential collaborations!"
      ],
      "metadata": {
        "id": "a75KX73Q8wp0"
      }
    }
  ]
}