Skip to main content

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.
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us