Tourism Purchase Predictor (RandomForest)
This repository contains a tuned RandomForestClassifier for predicting ProdTaken (purchase of the tourism package).
- Dataset: https://huggingface.co/datasets/Krishna6559/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="Krishna6559/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)