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Table 2 Comparisons of different classifiers : test AUC(std) of breast cancer cases

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

  Case I Case II Case III Case IV Case V
Classifiers      
CL +LS-SVM      
test AUC 0.7795(0.0687) 0.7772(0.0554) 0.6152(0.0565) 0.6622(0.0628) 0.7740(0.0833)
p-value 0.0039 1.48E-04 0.0086 5.21E-06 0.1602
MA+LS-SVM      
test AUC 0.7001(0.0559) 0.8065(0.0730) 0.6217(0.0349) 0.7357(0.0085) 0.6166(0.0508)
p-value 0.0059 0.0140 0.0254 2.41E-04 0.0020
GEVD+LS-SVM      
test AUC 0.7801(0.0717) 0.7673(0.0548) 0.6196(0.0829) 0.7730(0.1011) 0.8001(0.0648)
p-value 0.0137 3.41E-05 0.0040 0.1558 0.0840
KGEVD+LS-SVM      
test AUC 0.7982(0.0927) 0.8210(0.0670) 0.6437(0.0313) 0.7901(0.0917) 0.8031(0.0624)
p-value 0.0195 0.1144 0.0020 0.6162 0.0720
weighted LS-SVM      
test AUC 0.8177(0.0666) 0.8465(0.0480) 0.6985(0.0443) 0.8119(0.0893) 0.8210(0.0477)
  1. p-value: a paired test, Wilcoxon signed rank test.
  2. CL and MA are the clinical and microarray kernels of RBF kernel functions.
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