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) |