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Table 3 The three diagnostics under 5-fold cross validation

From: Diagnostic biases in translational bioinformatics

Algorithm Accuracy ± std (%) Sensitivity ± std (%) Specificity ± std (%) NPR ± std (%) PPR ± std (%)
   BreastIBC data    
DCA-SVM 97.78 ± 04.97 100.0 ± 00.00 90.00 ± 22.36 100.0 ± 00.00 97.50 ± 05.59
SVM-linear 74.56 ± 04.52 97.14 ± 06.39 16.67 ± 23.67 NaN 75.70 ± 06.52
RUBoost 73.33 ± 00.00 53.33 ± 44.72 82.86 ± 18.63 83.17 ± 15.86 54.67 ± 44.07
   HCC data    
DCA-SVM 99.33 ± 01.49 100.0 ± 00.00 98.57 ± 03.19 100.0 ± 00.00 98.82 ± 02.63
SVM-linear 94.02 ± 01.43 95.81 ± 03.83 92.42 ± 05.21 96.17 ± 03.50 92.39 ± 05.00
RUBoost 85.23 ± 00.00 82.08 ± 11.98 88.76 ± 06.30 82.56 ± 10.14 88.64 ± 06.54
   Kidney data    
DCA-SVM 99.81 ± 00.41 99.79 ± 00.47 100.0 ± 00.00 98.57 ± 03.19 100.0 ± 00.00
SVM-linear 90.23 ± 02.35 96.84 ± 03.07 44.07 ± 06.63 71.46 ± 16.90 92.38 ± 00.71
RUBoost 87.47 ± 00.00 90.95 ± 03.54 63.08 ± 11.17 51.31 ± 12.17 94.55 ± 01.42