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Table 5 Mean misclassification rates for application to C-to-U conversion data

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

Method Replacement
randomForest true 0.2896 (0.0022)
  false 0.2879 (0.0026)
cforest true 0.2807 (0.0024)
  false 0.2788 (0.0025)
  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. (Standard errors of the mean misclassification rates are given in parentheses.)