tourism-model

Tourism Package Purchase Prediction Model

Model Description

This model predicts whether a customer will purchase the Wellness Tourism Package offered by "Visit with Us" travel company.

Model Type: Random Forest

Performance Metrics (Test Set)

• Accuracy: 0.9116
• Precision: 0.9216
• Recall: 0.5912
• F1-Score: 0.7203
• ROC-AUC: 0.9691

Best Hyperparameters

• criterion: gini
• max_depth: 20
• min_samples_leaf: 1
• min_samples_split: 2
• n_estimators: 150

Usage

from huggingface_hub import hf_hub_download
import joblib

# Download the model
model_path = hf_hub_download(
    repo_id="vinayjags/tourism-model",
    filename="best_tourism_model.pkl",
    repo_type="model"
)

# Load the model
model = joblib.load(model_path)

# Make predictions
predictions = model.predict(X)

Training Details

• Training Samples: 3302
• Testing Samples: 826
• Number of Features: 29
• Random State: 42

Model Card Authors

This model was developed as part of an MLOps project for tourism package prediction.