Upload your CSV and let our automated arena pit the world's best ML models against each other. Discover whether SAP RPT-1 OSS or traditional gradient boosters win on your specific data.
From raw CSV to actionable model recommendation in minutes — fully automated.
Drag & drop your dataset. We auto-detect features, types, and whether it's a classification or regression task.
All 5 models run 5-fold cross-validation simultaneously. XGBoost, LightGBM, CatBoost, TabPFN & SAP RPT-1.
The top 3 models are automatically combined via Soft Voting and Stacking to squeeze out extra performance.
The winner is retrained on the full dataset. SHAP values reveal exactly which features matter most.
Tweak feature values in real-time and see your model's live prediction update instantly.
Simply drag and drop your CSV file. We automatically detect your target variable, infer the task type (classification or regression), and handle preprocessing.
All models are evaluated using 5-fold cross-validation to ensure statistically significant and reliable results, preventing overfitting on small datasets.
We don't just pick a winner. We automatically build Voting and Stacking ensembles to see if combining the models yields even better performance.