{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2TQwv-gHtHCB"
      },
      "source": [
        "# AIB504 GBA: Predicting Taxi Availability (Enhanced & Merged)\n",
        "---\n",
        "**Objective:** This notebook combines the best features from two separate analyses to create a single, more robust and comprehensive machine learning solution for the AIB504 GBA.\n",
        "\n",
        "**Key Enhancements:**\n",
        "- **Robust Data Cleaning:** Includes checks for both null and empty string values.\n",
        "- **Feature Scaling:** Applies `StandardScaler` to the data before training models like Linear Regression and SVR.\n",
        "- **Expanded Model Comparison:** Adds Support Vector Regressor (SVR) to the regression task.\n",
        "- **Advanced Diagnostics:** Includes a residual plot for the best-performing regression model."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ciuPngIgtHCD"
      },
      "source": [
        "## 1. Initial Setup\n",
        "\n",
        "**Action Required:** Before running, upload `TaxiAvailability.csv` and `TrafficandWeatherContext.csv` to your Google Colab session storage."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qBL412SttHCE",
        "outputId": "8588e623-64bb-4828-b8c6-61ed4f5e8bf8"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "All libraries imported successfully!\n"
          ]
        }
      ],
      "source": [
        "# Import all required libraries\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 StandardScaler, LabelEncoder\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.svm import SVR\n",
        "from sklearn.tree import DecisionTreeRegressor, DecisionTreeClassifier\n",
        "from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier\n",
        "from sklearn.metrics import (\n",
        "    mean_absolute_error, mean_squared_error, r2_score,\n",
        "    accuracy_score, classification_report, confusion_matrix\n",
        ")\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "# Set global plot style\n",
        "sns.set(style='whitegrid')\n",
        "plt.rcParams['figure.figsize'] = (12, 6)\n",
        "print('All libraries imported successfully!')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hSAscFButHCG"
      },
      "source": [
        "## 2. Data Loading, Validation, and Cleaning\n",
        "\n",
        "We load both datasets, normalize the timestamp formats to ensure a correct merge, and perform a robust check for missing or empty values."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [],
      "source": [
        "from huggingface_hub import notebook_login\n",
        "\n",
        "notebook_login()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Loaded 10800 records from looh2/data/Taxi Availability.csv\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-2dff8828-76c3-489f-a46a-c65f88883d5f\" 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>timestamp</th>\n",
              "      <th>planning_area</th>\n",
              "      <th>area_type</th>\n",
              "      <th>hour</th>\n",
              "      <th>day_of_week</th>\n",
              "      <th>is_weekend</th>\n",
              "      <th>is_peak_hour</th>\n",
              "      <th>is_public_holiday</th>\n",
              "      <th>rain_flag</th>\n",
              "      <th>demand_index</th>\n",
              "      <th>available_taxis</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2024-01-01 00:00:00</td>\n",
              "      <td>CBD</td>\n",
              "      <td>CBD</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>104.24</td>\n",
              "      <td>117</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2024-01-01 00:00:00</td>\n",
              "      <td>Tampines</td>\n",
              "      <td>Residential</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>63.60</td>\n",
              "      <td>81</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2024-01-01 00:00:00</td>\n",
              "      <td>Jurong</td>\n",
              "      <td>Mixed</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>89.82</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2024-01-01 00:00:00</td>\n",
              "      <td>Woodlands</td>\n",
              "      <td>Residential</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>93.34</td>\n",
              "      <td>71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2024-01-01 00:00:00</td>\n",
              "      <td>Punggol</td>\n",
              "      <td>Residential</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>115.06</td>\n",
              "      <td>88</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-2dff8828-76c3-489f-a46a-c65f88883d5f')\"\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-2dff8828-76c3-489f-a46a-c65f88883d5f 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-2dff8828-76c3-489f-a46a-c65f88883d5f');\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",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "             timestamp planning_area    area_type  hour  day_of_week  \\\n",
              "0  2024-01-01 00:00:00           CBD          CBD     0            0   \n",
              "1  2024-01-01 00:00:00      Tampines  Residential     0            0   \n",
              "2  2024-01-01 00:00:00        Jurong        Mixed     0            0   \n",
              "3  2024-01-01 00:00:00     Woodlands  Residential     0            0   \n",
              "4  2024-01-01 00:00:00       Punggol  Residential     0            0   \n",
              "\n",
              "   is_weekend  is_peak_hour  is_public_holiday  rain_flag  demand_index  \\\n",
              "0       False         False                  0          0        104.24   \n",
              "1       False         False                  0          0         63.60   \n",
              "2       False         False                  0          1         89.82   \n",
              "3       False         False                  0          1         93.34   \n",
              "4       False         False                  0          0        115.06   \n",
              "\n",
              "   available_taxis  \n",
              "0              117  \n",
              "1               81  \n",
              "2               74  \n",
              "3               71  \n",
              "4               88  "
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "\n",
        "from huggingface_hub import hf_hub_download, list_repo_files\n",
        "\n",
        "repo_id = \"looh2/data\"\n",
        "csv_name = \"Taxi Availability.csv\"\n",
        "\n",
        "repo_files = list_repo_files(repo_id=repo_id, repo_type=\"dataset\")\n",
        "if csv_name not in repo_files:\n",
        "    raise FileNotFoundError(f\"{csv_name} not found in {repo_id}\")\n",
        "\n",
        "csv_path = hf_hub_download(\n",
        "    repo_id=repo_id,\n",
        "    filename=csv_name,\n",
        "    repo_type=\"dataset\"\n",
        ")\n",
        "\n",
        "df = pd.read_csv(csv_path, low_memory=False)\n",
        "print(f\"Loaded {len(df)} records from {repo_id}/{csv_name}\")\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mxUAaPfGtHCI"
      },
      "source": [
        "### 2.1. Data Cleaning (Enhanced)\n",
        "\n",
        "*This section is an enhancement inspired by the project mate's notebook, providing a more thorough check for data quality issues.*"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fxkWLtmhtHCI",
        "outputId": "4e73a949-fdcc-486e-ff30-32ad40c97b20"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "SUCCESS: No missing or empty values found in the merged dataset.\n"
          ]
        }
      ],
      "source": [
        "# Check for both null and empty-string values\n",
        "null_counts = df.isnull().sum()\n",
        "obj_cols = df.select_dtypes(include=['object', 'string']).columns\n",
        "empty_str_counts = (df[obj_cols].apply(lambda s: s.str.strip() == '')).sum()\n",
        "empty_counts_all = empty_str_counts.reindex(df.columns, fill_value=0)\n",
        "\n",
        "mask = (null_counts > 0) | (empty_counts_all > 0)\n",
        "problem_cols = mask[mask].index.tolist()\n",
        "if problem_cols:\n",
        "    print('Columns with null or empty values:')\n",
        "    quality_issues = pd.DataFrame({\n",
        "        'null_count': null_counts[mask],\n",
        "        'empty_string_count': empty_counts_all[mask]\n",
        "    })\n",
        "    display(quality_issues.sort_values(['null_count', 'empty_string_count'], ascending=False))\n",
        "else:\n",
        "    print('SUCCESS: No missing or empty values found in the merged dataset.')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bfkRk6hmtHCJ"
      },
      "source": [
        "## 3. Exploratory Data Analysis (EDA)\n",
        "\n",
        "Visualising the data to understand key patterns and relationships between variables."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 601
        },
        "id": "PxZ7KqoItHCJ",
        "outputId": "b43788a4-7114-4c12-e975-e9eab9fcbda7"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Fig 1: Distribution of Available Taxis\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.histplot(df['available_taxis'], kde=True, bins=30, color='steelblue')\n",
        "plt.title('Fig 1: Distribution of Available Taxis', fontsize=16, fontweight='bold')\n",
        "plt.xlabel('Number of Available Taxis', fontsize=12)\n",
        "plt.ylabel('Frequency', fontsize=12)\n",
        "plt.axvline(df['available_taxis'].mean(), color='red', linestyle='--', label=f\"Mean: {df['available_taxis'].mean():.1f}\")\n",
        "plt.axvline(df['available_taxis'].median(), color='green', linestyle='--', label=f\"Median: {df['available_taxis'].median():.1f}\")\n",
        "plt.legend()\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 801
        },
        "id": "lA7K_25stHCK",
        "outputId": "c1bb5d59-749c-45c4-d36e-3cd16329912e"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 1600x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Fig 2: Average Hourly Taxi Availability by Planning Area\n",
        "pivot_hourly = df.pivot_table(values='available_taxis', index='hour', columns='planning_area')\n",
        "plt.figure(figsize=(16, 8))\n",
        "pivot_hourly.plot(ax=plt.gca())\n",
        "plt.title('Fig 2: Average Hourly Taxi Availability by Planning Area', fontsize=16, fontweight='bold')\n",
        "plt.xlabel('Hour of Day', fontsize=12)\n",
        "plt.ylabel('Average Available Taxis', fontsize=12)\n",
        "plt.legend(title='Planning Area', bbox_to_anchor=(1.05, 1), loc='upper left', fontsize=9)\n",
        "plt.xticks(range(0, 24))\n",
        "plt.grid(True, linestyle='--', linewidth=0.5)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r_AIa1ectHCL"
      },
      "source": [
        "## 4. Data Preparation & Feature Engineering\n",
        "\n",
        "Preparing the final feature set for modelling. This includes label encoding for categorical variables, creating the classification target, and applying feature scaling."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XGnGbyantHCL",
        "outputId": "ece1a679-067b-41e1-9ec0-34f24911548c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Feature engineering complete.\n",
            "Classification threshold (median taxis): 77.0\n"
          ]
        }
      ],
      "source": [
        "# Step 1: Label Encoding for categorical features\n",
        "categorical_cols = ['planning_area', 'area_type']\n",
        "for col in categorical_cols:\n",
        "    le = LabelEncoder()\n",
        "    df[col + '_enc'] = le.fit_transform(df[col])\n",
        "\n",
        "# Step 2: Convert boolean columns to integers\n",
        "df['is_weekend'] = df['is_weekend'].astype(int)\n",
        "df['is_peak_hour'] = df['is_peak_hour'].astype(int)\n",
        "\n",
        "# Step 3: Create binary classification target variable\n",
        "median_taxis = df['available_taxis'].median()\n",
        "df['high_availability'] = (df['available_taxis'] > median_taxis).astype(int)\n",
        "\n",
        "print('Feature engineering complete.')\n",
        "print(f'Classification threshold (median taxis): {median_taxis}')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "RQQhRDW9tHCO",
        "outputId": "0c81b250-5d57-48f2-f450-c8e90d893373"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 1800x1400 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Fig 3: Correlation Heatmap\n",
        "numeric_cols = df.select_dtypes(include=np.number).columns\n",
        "plt.figure(figsize=(18, 14))\n",
        "sns.heatmap(df[numeric_cols].corr(), annot=True, cmap='coolwarm', fmt='.2f', annot_kws={'size': 9})\n",
        "plt.title('Fig 3: Correlation Heatmap of All Numeric Features', fontsize=16, fontweight='bold')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7aHyFGGZtHCP"
      },
      "source": [
        "### 4.1. Feature Scaling (Enhanced)\n",
        "\n",
        "*This is a new step inspired by the project mate's notebook. We apply `StandardScaler` to our feature set. This is a best practice that standardizes features by removing the mean and scaling to unit variance. It is essential for distance-based algorithms like SVR and can also improve the performance of Linear Regression.*"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "arBLijOdtHCP",
        "outputId": "8c826aa1-4580-469d-cc93-e37563589e40"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Feature scaling complete.\n",
            "Train set shape: (8640, 5)\n",
            "Test set shape:  (2160, 5)\n"
          ]
        }
      ],
      "source": [
        "# Define feature set and target variables\n",
        "features = [\n",
        "    'day_of_week', 'is_weekend', 'is_peak_hour',    \n",
        "    'planning_area_enc', 'area_type_enc',\n",
        "]\n",
        "\n",
        "X = df[features]\n",
        "y_reg = df['available_taxis']\n",
        "y_cls = df['high_availability']\n",
        "\n",
        "# Split data BEFORE scaling\n",
        "X_train, X_test, y_train_reg, y_test_reg = train_test_split(X, y_reg, test_size=0.2, random_state=42)\n",
        "_, _, y_train_cls, y_test_cls = train_test_split(X, y_cls, test_size=0.2, random_state=42)\n",
        "\n",
        "# Apply StandardScaler\n",
        "scaler = StandardScaler()\n",
        "X_train_scaled = scaler.fit_transform(X_train)\n",
        "X_test_scaled = scaler.transform(X_test)\n",
        "\n",
        "print('Feature scaling complete.')\n",
        "print(f'Train set shape: {X_train_scaled.shape}')\n",
        "print(f'Test set shape:  {X_test_scaled.shape}')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8MYBUq03tHCQ"
      },
      "source": [
        "## 5. Model Building & Evaluation\n",
        "\n",
        "We train and evaluate models for two tasks. **Note:** Scaled data is used for Linear Regression and SVR, while original (unscaled) data is used for tree-based models, as they are not sensitive to feature scaling."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GMFCEqS5tHCQ"
      },
      "source": [
        "### 5.1. Regression Models (Predicting Taxi Count)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 262
        },
        "id": "MQE5p51xtHCQ",
        "outputId": "423aff29-a94d-468b-d7d0-bdca80b578b1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Training Linear Regression...\n",
            "Training SVR...\n",
            "Training Decision Tree...\n",
            "Training Random Forest...\n",
            "=== REGRESSION MODEL PERFORMANCE ===\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-cbe9dda6-8a9f-4904-829c-5ff8cff8e298\" 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>Model</th>\n",
              "      <th>MAE</th>\n",
              "      <th>RMSE</th>\n",
              "      <th>R2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Decision Tree</td>\n",
              "      <td>7.931060</td>\n",
              "      <td>10.002074</td>\n",
              "      <td>0.858010</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Random Forest</td>\n",
              "      <td>7.932187</td>\n",
              "      <td>10.004226</td>\n",
              "      <td>0.857949</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>SVR</td>\n",
              "      <td>7.971021</td>\n",
              "      <td>10.052350</td>\n",
              "      <td>0.856579</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Linear Regression</td>\n",
              "      <td>10.235602</td>\n",
              "      <td>12.799413</td>\n",
              "      <td>0.767482</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-cbe9dda6-8a9f-4904-829c-5ff8cff8e298')\"\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-cbe9dda6-8a9f-4904-829c-5ff8cff8e298 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-cbe9dda6-8a9f-4904-829c-5ff8cff8e298');\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",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "               Model        MAE       RMSE        R2\n",
              "2      Decision Tree   7.931060  10.002074  0.858010\n",
              "3      Random Forest   7.932187  10.004226  0.857949\n",
              "1                SVR   7.971021  10.052350  0.856579\n",
              "0  Linear Regression  10.235602  12.799413  0.767482"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Train all four regression models\n",
        "models_to_train_reg = {\n",
        "    'Linear Regression': (LinearRegression(), X_train_scaled, X_test_scaled),\n",
        "    'SVR': (SVR(), X_train_scaled, X_test_scaled), # New model\n",
        "    'Decision Tree': (DecisionTreeRegressor(random_state=42), X_train, X_test),\n",
        "    'Random Forest': (RandomForestRegressor(random_state=42, n_jobs=-1), X_train, X_test)\n",
        "}\n",
        "\n",
        "results_reg = {'Model': [], 'MAE': [], 'RMSE': [], 'R2': []}\n",
        "predictions_reg = {}\n",
        "\n",
        "for name, (model, X_tr, X_te) in models_to_train_reg.items():\n",
        "    print(f'Training {name}...')\n",
        "    model.fit(X_tr, y_train_reg)\n",
        "    y_pred = model.predict(X_te)\n",
        "    predictions_reg[name] = y_pred\n",
        "    results_reg['Model'].append(name)\n",
        "    results_reg['MAE'].append(mean_absolute_error(y_test_reg, y_pred))\n",
        "    results_reg['RMSE'].append(np.sqrt(mean_squared_error(y_test_reg, y_pred)))\n",
        "    results_reg['R2'].append(r2_score(y_test_reg, y_pred))\n",
        "\n",
        "results_df_reg = pd.DataFrame(results_reg).sort_values('R2', ascending=False)\n",
        "print('=== REGRESSION MODEL PERFORMANCE ===')\n",
        "display(results_df_reg)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "31luYKMltHCR"
      },
      "source": [
        "### 5.2. Residual Plot for Best Regression Model (Enhanced)\n",
        "\n",
        "*This diagnostic plot, inspired by the project mate's notebook, helps us evaluate the performance of our best model (Random Forest). A random scatter of points around the zero-line indicates a good fit.*"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 575
        },
        "id": "ZO8JS_cNtHCS",
        "outputId": "367132ef-5ce4-43e4-c417-a03ad12ff84d"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Fig 5: Residual Plot for Random Forest Regressor\n",
        "best_model_name = results_df_reg.iloc[0]['Model']\n",
        "y_pred_best = predictions_reg[best_model_name]\n",
        "residuals = y_test_reg - y_pred_best\n",
        "\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.scatterplot(x=y_pred_best, y=residuals, alpha=0.5)\n",
        "plt.axhline(y=0, color='r', linestyle='--')\n",
        "plt.xlabel('Predicted Values', fontsize=12)\n",
        "plt.ylabel('Residuals (Actual - Predicted)', fontsize=12)\n",
        "plt.title(f'Fig 5: Residual Plot for {best_model_name}', fontsize=16, fontweight='bold')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3WL7ROsytHCS"
      },
      "source": [
        "### 5.3. Classification Models (Predicting High/Low Availability)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xRpfI0BStHCS",
        "outputId": "bb570417-8b71-4def-b3e6-f92b779ab7da"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "=== Random Forest Classifier Performance ===\n",
            "Accuracy: 0.8181\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "         Low       0.95      0.69      0.80      1145\n",
            "        High       0.73      0.96      0.83      1015\n",
            "\n",
            "    accuracy                           0.82      2160\n",
            "   macro avg       0.84      0.83      0.82      2160\n",
            "weighted avg       0.85      0.82      0.82      2160\n",
            "\n"
          ]
        }
      ],
      "source": [
        "# Train classification models (no scaling needed for trees)\n",
        "dt_cls = DecisionTreeClassifier(random_state=42).fit(X_train, y_train_cls)\n",
        "rf_cls = RandomForestClassifier(random_state=42, n_jobs=-1).fit(X_train, y_train_cls)\n",
        "\n",
        "y_pred_dt_cls = dt_cls.predict(X_test)\n",
        "y_pred_rf_cls = rf_cls.predict(X_test)\n",
        "\n",
        "print('=== Random Forest Classifier Performance ===')\n",
        "print(f\"Accuracy: {accuracy_score(y_test_cls, y_pred_rf_cls):.4f}\")\n",
        "print(classification_report(y_test_cls, y_pred_rf_cls, target_names=['Low', 'High']))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 575
        },
        "id": "NtIQs2HvtHCS",
        "outputId": "0da8200b-5d5a-4340-fe4b-59a8085b5be8"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Fig 6: Confusion Matrix for Random Forest Classifier\n",
        "cm = confusion_matrix(y_test_cls, y_pred_rf_cls)\n",
        "plt.figure(figsize=(8, 6))\n",
        "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\n",
        "            xticklabels=['Low', 'High'], yticklabels=['Low', 'High'], annot_kws={'size': 14})\n",
        "plt.title('Fig 6: Confusion Matrix - Random Forest Classifier', fontsize=16, fontweight='bold')\n",
        "plt.xlabel('Predicted Label', fontsize=12)\n",
        "plt.ylabel('True Label', fontsize=12)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qd0Ny2fytHCT"
      },
      "source": [
        "## 6. Feature Importance Analysis\n",
        "\n",
        "Finally, we examine which features were most influential for our best-performing model, the Random Forest Regressor."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 936
        },
        "id": "p8n1h1dstHCT",
        "outputId": "1c212a0b-e465-43c7-ecd2-cc4cc89b66bb"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Top 5 Most Important Features:\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-08f36b51-4e79-466a-9824-3d1c99f313f7\" 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>Feature</th>\n",
              "      <th>Importance</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>is_peak_hour</td>\n",
              "      <td>0.384474</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>planning_area_enc</td>\n",
              "      <td>0.292044</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>area_type_enc</td>\n",
              "      <td>0.247585</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>day_of_week</td>\n",
              "      <td>0.038562</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>is_weekend</td>\n",
              "      <td>0.037335</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-08f36b51-4e79-466a-9824-3d1c99f313f7')\"\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-08f36b51-4e79-466a-9824-3d1c99f313f7 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-08f36b51-4e79-466a-9824-3d1c99f313f7');\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",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "             Feature  Importance\n",
              "2       is_peak_hour    0.384474\n",
              "3  planning_area_enc    0.292044\n",
              "4      area_type_enc    0.247585\n",
              "0        day_of_week    0.038562\n",
              "1         is_weekend    0.037335"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Get the trained Random Forest Regressor model\n",
        "rf_model_final = models_to_train_reg['Random Forest'][0]\n",
        "\n",
        "# Fig 7: Feature Importance from Random Forest Regressor\n",
        "importances = rf_model_final.feature_importances_\n",
        "feat_imp_df = pd.DataFrame({'Feature': features, 'Importance': importances})\n",
        "feat_imp_df = feat_imp_df.sort_values('Importance', ascending=False)\n",
        "\n",
        "plt.figure(figsize=(12, 8))\n",
        "sns.barplot(x='Importance', y='Feature', data=feat_imp_df, palette='viridis')\n",
        "plt.title('Fig 7: Feature Importance - Random Forest Regressor', fontsize=16, fontweight='bold')\n",
        "plt.xlabel('Importance Score', fontsize=12)\n",
        "plt.ylabel('Feature', fontsize=12)\n",
        "plt.show()\n",
        "\n",
        "print('Top 5 Most Important Features:')\n",
        "display(feat_imp_df.head(5))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "85bfd70b0c74460e908d0d4294479d95",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Processing Files (0 / 0)      : |          |  0.00B /  0.00B            "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "28bd5d4ac59949a2a84820ca6914c2fd",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "New Data Upload               : |          |  0.00B /  0.00B            "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "42fad51731e74205ab874f97bdc316e9",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "  ...rest_TaxiPredictor.joblib: 100%|##########| 1.03MB / 1.03MB            "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Random Forest model saved as 'ML_RandomForest_TaxiPredictor.joblib' and uploaded to Hugging Face Hub (looh2/model)\n"
          ]
        }
      ],
      "source": [
        "import joblib\n",
        "from huggingface_hub import HfApi\n",
        "\n",
        "# Save the trained Random Forest Regressor model\n",
        "joblib.dump({'model': rf_model_final, 'scaler': scaler}, 'ML_RandomForest_TaxiPredictor.joblib')\n",
        "api = HfApi()\n",
        "api.upload_file(\n",
        "    path_or_fileobj=\"ML_RandomForest_TaxiPredictor.joblib\",\n",
        "    path_in_repo=\"ML_RandomForest_TaxiPredictor.joblib\",\n",
        "    repo_id=\"looh2/model\",\n",
        "    repo_type=\"model\"\n",
        ")\n",
        "print(\"Random Forest model saved as 'ML_RandomForest_TaxiPredictor.joblib' and uploaded to Hugging Face Hub (looh2/model)\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "from fastapi import FastAPI\n",
        "from pydantic import BaseModel\n",
        "import joblib\n",
        "import numpy as np\n",
        "from huggingface_hub import hf_hub_download\n",
        "\n",
        "# Download the model from Hugging Face Hub if not already present\n",
        "model_path = hf_hub_download(\n",
        "    repo_id=\"looh2/model\",\n",
        "    filename=\"ML_RandomForest_TaxiPredictor.joblib\",\n",
        "    repo_type=\"model\"\n",
        ")\n",
        "\n",
        "# Load model and scaler\n",
        "bundle = joblib.load(model_path)\n",
        "model = bundle['model']\n",
        "scaler = bundle['scaler']\n",
        "\n",
        "# Define FastAPI app\n",
        "app = FastAPI()\n",
        "\n",
        "# Define input schema\n",
        "class TaxiFeatures(BaseModel):\n",
        "    day_of_week: int\n",
        "    is_weekend: int\n",
        "    is_peak_hour: int\n",
        "    planning_area_enc: int\n",
        "    area_type_enc: int\n",
        "\n",
        "@app.post(\"/predict\")\n",
        "def predict_taxi_availability(features: TaxiFeatures):\n",
        "    X = np.array([[features.day_of_week, features.is_weekend, features.is_peak_hour,\n",
        "                   features.planning_area_enc, features.area_type_enc]])\n",
        "    X_scaled = scaler.transform(X)\n",
        "    prediction = model.predict(X_scaled)\n",
        "    return {\"predicted_available_taxis\": float(prediction[0])}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.13"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}