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Table 3 Naive Bayes classifiers performance on clinical and microarray data sets in terms of test AUC(std)

From: Predicting breast cancer using an expression values weighted clinical classifier

Data source Case I Case II Case III Case IV Case V
Clinical data 0.6235(0.0912) 0.739(0.0722) 0.5533(0.0438) 0.7156(0.0503) 0.6767(0.0513)
Microarray 0.5028(0.037) 0.6662(0.088) 0.5324(0.0616) 0.6011(0.0699) 0.5189(0.0412)