small-data-ml

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nsdmlk / SmallGBM

SmallGBM — gradient boosting optimized for small datasets (n < 1000). XGBoost and LightGBM fail here; SmallGBM wins with aggressive regularization and minimal tree depth. scikit-learn compatible, pip installable, built from scratch in Python.

machine-learning gradient-boosting small-data small-data-ml

Updated Sep 3, 2026
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