arxivcs.LGstat.ML2026-07-01
Conditional Inference Trees and Forests for Feature Selection
Robert Milletich, Justin Downes, Steve Goley, Newel Hirst
Conditional inference trees (CIT) and conditional inference forests (CIF) reduce split-selection bias by testing features before choosing split thresholds, but repeated permutation tests and threshold searches can make these methods computationally expensive. We study CIT and CIF…