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Table 2 Simulation design for the simulation studies – response variable

From: Bias in random forest variable importance measures: Illustrations, sources and a solution

  Response variable
null case Y ~B(0.5)
power case Y|X2 = 1 ~B(0.5 - relevance)
  Y|X2 = 2 ~B(0.5 + relevance)
  1. The response variable is sampled from binomial (Bernoulli) distributions. The degree of dependence between the response Y and X2 is regulated by the probability p of the binomial distribution B(p) of Y conditional on X2, with the relevance parameter taking values in {0.05, 0.1, 0.15, 0.2} to model different degrees of dependence.