Spaces:
Sleeping
Sleeping
| title: Tourism Package Prediction | |
| emoji: 🧳 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: streamlit | |
| sdk_version: "1.32.0" | |
| app_file: app.py | |
| pinned: false | |
| # Tourism Package Prediction App | |
| This Streamlit app predicts whether a customer will take a tourism package (`ProdTaken`) | |
| using a trained Machine Learning model. | |
| ### Model | |
| - **Model repo**: `VJBharathkumar/tourism-prod-prediction` | |
| - Algorithm: Random Forest (scikit-learn) | |
| - Includes preprocessing + model as a single pipeline | |
| ### Dataset | |
| - **Dataset repo**: `VJBharathkumar/tourism-wellness` | |
| ### Features | |
| The app collects customer details such as: | |
| - Age | |
| - Type of Contact | |
| - City Tier | |
| - Duration of Pitch | |
| - Occupation | |
| - Gender | |
| - Monthly Income | |
| - Travel history and preferences | |
| ### Output | |
| - Prediction (`0` = will not take package, `1` = will take package) | |
| - Probability score |