Downloads · 30 days
0
tourism-purchase-predictor-rf
critical12/tourism-purchase-predictor-rf
tourism-purchase-predictor-rf is a tabular classification model from critical12. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. It is set up for sklearn. The card lists the license as apache-2.0.
This repository contains a tuned RandomForestClassifier for predicting ProdTaken (purchase of the tourism package).
Access
Public
Updated Aug 31, 2025
Repo size
48.5 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.joblib16.2 MB · 100%
At a glance
- Task
- Tabular Classification
- Library
- sklearn
- License
- apache-2.0
- Access
- Public
- Created
- Aug 31, 2025
- Updated
- Aug 31, 2025
- SHA
- 67bf2302
Datasets
Model card
From the Hugging Face model README
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)
- Task
- Tabular Classification
- Library
- sklearn
- License
- apache-2.0
- Created
- Aug 31, 2025
- Updated
- Aug 31, 2025