arXiv stat.ML
· Papers
Conditional Inference Trees and Forests for Feature Selection
arXiv:2607.01417v1 Announce Type: cross Abstract: 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 C