WRSWorld Research StateContribute
WORLD RESEARCH STATE

Friedman: a gradient boosting machine

Contribution grade

Statistical learning · ALGORITHM

Reference score200,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Derived stagewise functional-gradient boosting methods for multiple losses, including tree-based refinements.

Scientific scope

The record is Friedman's sole-author 2001 Annals of Statistics paper. It does not absorb Schapire's weak-to-strong result, AdaBoost, CART, XGBoost or every later boosting implementation; empirical claims remain limited to the paper's studies.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is Friedman's sole-author 2001 Annals of Statistics paper. It does not absorb Schapire's weak-to-strong result, AdaBoost, CART, XGBoost or every later boosting implementation; empirical claims remain limited to the paper's studies.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

Full scientific record · Browse contribution grades · Request a correction