Bias in the intervention in prediction measure in random forests: illustrations and recommendations
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DOI: 10.1093/bioinformatics/bty959
Abstract: Motivation Random forests (RF) are fast, flexible and have become a standard tool in bioinformatics, particularly because they provide variable importance measures (VIM), which can be used to identify relevant features or perform variable selection.… read more here.
Keywords: random forests; prediction measure; intervention prediction;