Table 5 The diagnostic results with independent training and test sets for LGG data
Algorithm | Accuracy ± std (%) | Sensitivity ± std (%) | Specificity ± std (%) | NPR ± std (%) | PPR ± std (%) |
|---|---|---|---|---|---|
| Â | Â | GliomaRNASeq | Â | Â | Â |
DCA-SVM | 99.52 ± 00.58 | 99.64 ± 00.53 | 97.00 ± 08.08 | 91.18 ± 11.05 | 99.87 ± 00.36 |
SVM-linear | 95.87 ± 00.84 | 98.77 ± 00.00 | 12.10 ± 11.46 | NaN | 97.02 ± 00.85 |
SVM-rbf | 96.68 ± 00.78 | 100.0 ± 00.00 | 00.00 ± 00.00 | NaN | 96.68 ± 00.78 |
SVM-quad | 96.53 ± 00.75 | 99.60 ± 00.40 | 07.40 ± 08.67 | NaN | 96.91 ± 00.79 |
SVM-mlp | 56.28 ± 05.61 | 56.73 ± 05.95 | 43.77 ± 18.61 | 03.34 ± 01.53 | 96.70 ± 01.31 |
| Â | Â | GliomaMiRNASeq | Â | Â | Â |
DCA-SVM | 99.63 ± 00.52 | 99.73 ± 00.39 | 97.52 ± 08.21 | 93.13 ± 09.40 | 99.89 ± 00.39 |
SVM-linear | 93.78 ± 01.27 | 96.68 ± 01.58 | 10.93 ± 10.04 | 10.89 ± 11.08 | 96.89 ± 00.84 |
SVM-rbf | 96.63 ± 00.81 | 100.0 ± 00.00 | 00.00 ± 00.00 | NaN | 96.63 ± 00.81 |
SVM-quad | 95.65 ± 00.97 | 98.76 ± 00.87 | 06.14 ± 07.39 | NaN | 96.80 ± 00.79 |
SVM-mlp | 56.62 ± 06.31 | 58.16 ± 06.69 | 42.51 ± 18.98 | 03.45 ± 01.74 | 96.68 ± 01.30 |