The Only Calibrator With a Mathematical Guarantee

Venn-Abers turned XGBoost from a liability into a production-ready model. It also destroyed CatBoost. Here’s why — and when to use it.

Platt scaling improves log-loss in 49.8% of cases. Isotonic regression does slightly better. Temperature scaling is the gentlest of the three.