critical12/tourism-purchase-predictor-rf

Tourism Purchase Predictor (RandomForest)

This repository contains a tuned RandomForestClassifier for predicting ProdTaken (purchase of the tourism package).

• Dataset: https://huggingface.co/datasets/critical12/tourism-dataset
• Selection metric: ROC AUC (5-fold CV)
• Best CV ROC AUC: 0.9513

Inference (Python)

import joblib
from huggingface_hub import hf_hub_download

model_path = hf_hub_download(repo_id="critical12/tourism-purchase-predictor-rf", filename="best_model.joblib")
model = joblib.load(model_path)
# model is a sklearn Pipeline: model.predict(X) or model.predict_proba(X)