Table 2 SVM diagnosis for benchmark data under 5-fold cross validation
Algorithm | Accuracy ± std (%) | Sensitivity ± std (%) | Specificity ± std (%) | NPR ± std (%) | PPR ± std (%) |
|---|---|---|---|---|---|
| Â | Â | BreastIBC data | Â | Â | Â |
SVM-linear | 74.56 ± 04.52 | 97.14 ± 06.39 | 16.67 ± 23.67 | NaN | 75.70 ± 06.52 |
SVM-rbf | 72.56 ± 03.63 | 100.0 ± 00.00 | 00.00 ± 00.00 | NaN | 72.56 ± 03.63 |
SVM-quad | 74.56 ± 04.52 | 97.14 ± 06.39 | 16.67 ± 23.67 | NaN | 75.70 ± 06.52 |
SVM-rbf2 | 72.83 ± 10.92 | 85.71 ± 14.29 | 40.00 ± 09.13 | 63.33 ± 34.16 | 78.65 ± 05.88 |
SVM-mlp | 45.67 ± 18.09 | 48.10 ± 22.99 | 40.00 ± 09.13 | 25.67 ± 14.02 | 65.33 ± 12.16 |
| Â | Â | HCC data | Â | Â | Â |
SVM-linear | 94.02 ± 01.43 | 95.81 ± 03.83 | 92.42 ± 05.21 | 96.17 ± 03.50 | 92.39 ± 05.00 |
SVM-rbf | 52.00 ± 00.75 | 100.0 ± 00.00 | 00.00 ± 00.00 | NaN | 52.00 ± 00.75 |
SVM-quad | 82.05 ± 10.66 | 77.00 ± 10.77 | 87.52 ± 12.21 | 77.87 ± 10.32 | 87.38 ± 11.89 |
SVM-rbf2 | 89.90 ± 04.32 | 92.86 ± 08.75 | 87.17 ± 06.48 | 93.60 ± 07.25 | 87.33 ± 05.32 |
SVM-mlp | 51.87 ± 10.96 | 46.00 ± 15.80 | 58.29 ± 10.06 | 50.43 ± 08.72 | 53.44 ± 14.68 |
| Â | Â | Kidney data | Â | Â | Â |
SVM-linear | 90.23 ± 02.35 | 96.84 ± 03.07 | 44.07 ± 06.63 | 71.46 ± 16.90 | 92.38 ± 00.71 |
SVM-rbf | 87.48 ± 00.44 | 100.0 ± 00.00 | 00.00 ± 00.00 | NaN | 87.48 ± 00.44 |
SVM-quad | 87.47 ± 01.70 | 94.47 ± 01.20 | 17.47 ± 07.89 | 50.00 ± 21.21 | 89.21 ± 00.80 |
SVM-rbf2 | 87.48 ± 00.44 | 100.0 ± 00.00 | 00.00 ± 00.00 | NaN | 87.48 ± 00.44 |
SVM-mlp | 53.39 ± 06.79 | 54.32 ± 07.79 | 46.92 ± 10.08 | 13.02 ± 02.95 | 87.67 ± 02.47 |