rf-no-benefit-linear-correlation

IN premise — entries/2026/06/21/wiki-Random_forest-chunk-4.md

Created 2026-06-21T09:55:52+00:00

Random forests may not improve accuracy over a single decision tree when features are linearly correlated with the target variable.

Dependents

These beliefs depend on this one:

• OUT rf-universally-applicable-ensemble — Random forests are universally applicable ensemble methods — no overfitting from added trees, built-in OOB validation, and robust variance reduction make them a safe default for any problem.