Table 4.

Mean misclassification rates for the power case

		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)

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.)