random-forests

本文研究了 Boruta 特征选择方法中树深度设置对 RNA-Seq 癌症数据基因筛选结果的影响，发现默认的浅树深度限制会显著改变基因选择并降低分类准确率，建议使用不限深度的树并加入类内样本质量过滤。

This paper studies conditional inference trees and forests for feature selection, showing that CIF ranks 4th among 17 classification methods and 3rd among 18 regression methods. Runtime ablations reveal adaptive stopping and threshold search have the largest effect on runtime with minimal impact on downstream scores.