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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].