kerf-pools-observations-across-trees

IN premise — entries/2026/06/21/wiki-Random_forest-chunk-3.md

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

Kernel Random Forests (KeRF) compute predictions by pooling all observations falling in cells containing x across all trees before normalizing, rather than averaging per-tree predictions first as standard random forests do.