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Table 4 Mean misclassification rates for the power case

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

  

Degree of dependence

Method

Replacement

0.05

0.1

0.15

0.2

randomForest

true

0.4945 (0.0014)

0.4819 (0.0015)

0.4510 (0.0016)

0.4028 (0.0017)

 

false

0.4942 (0.0014)

0.4814 (0.0015)

0.4496 (0.0016)

0.4026 (0.0017)

cforest

true

0.4910 (0.0014)

0.4660 (0.0016)

0.4169 (0.0019)

0.3491 (0.0019)

 

false

0.4879 (0.0014)

0.4581 (0.0017)

0.4022 (0.0019)

0.3384 (0.0019)

  1. Mean misclassification rates of the randomForest method, applied with sampling with and without replacement, as compared to those of the cforest method, applied with sampling with and without replacement, as a function of the degree of dependence (indicated by the relevance parameter, cf. Table 2) between the informative variable X2 and the response. (Standard errors of the mean misclassification rates are given in parentheses.)
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BMC Bioinformatics

ISSN: 1471-2105

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