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Table 3 Bias and RMS of estimators considered in the experiment with expression data from genes ‘OXCT’ and ‘WISP1’

From: Unbiased bootstrap error estimation for linear discriminant analysis

c 0 n ε E[ε n ] Resub Basic boot Opt boot 0.632 boot
     Bias RMS Bias RMS Bias RMS Bias RMS
0.33 30 0.4043 0.4206 −0.0702 0.1061 0.0008 0.0820 −0.0161 0.0803 −0.0253 0.0817
0.50 30 0.3969 0.4266 −0.0719 0.1060 0.0072 0.0830 −0.0116 0.0798 −0.0219 0.0806
0.67 30 0.3893 0.4131 −0.0914 0.1185 −0.0181 0.0878 −0.0355 0.0885 −0.0451 0.0909
  1. Also displayed are the assumed values for the prior probability c0, sample size n, the estimated value of the Bayes error ε, and the expected classification error E[ εn].