Table 3 The three diagnostics under 5-fold cross validation
Algorithm | Accuracy ± std (%) | Sensitivity ± std (%) | Specificity ± std (%) | NPR ± std (%) | PPR ± std (%) |
|---|---|---|---|---|---|
| Â | Â | BreastIBC data | Â | Â | Â |
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 |
| Â | Â | HCC data | Â | Â | Â |
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 |
| Â | Â | Kidney data | Â | Â | Â |
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 |