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Breiman: Random Forests

Contribution grade

Statistical learning · Ensemble prediction algorithms

Reference score190,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

A robust, reusable tree-ensemble method with internal error analysis became available.

Scientific scope

The 2001 sole-authored paper; not all tree ensembles or later packages and variable-importance uses.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is Breiman’s 2001 paper. It does not assign all ensemble-tree methods to this paper or treat later implementations and feature-importance practices as identical to the original analysis.

Contributors

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

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