Table 9 Classification accuracy values of the proposed RBNRO-DE based on k-NN, SVM and XGBoost classifiers
Benchmark | RBNRO-DE with k-NN | RBNRO-DE with SVM | RBNRO-DE with XGBoost |
|---|---|---|---|
BLCA | 1.0000 | 1.0000 | 1.0000 |
CESC | 0.9839 | 1.0000 | 0.9839 |
CHOL | 1.0000 | 1.0000 | 1.0000 |
COAD | 1.0000 | 1.0000 | 1.0000 |
ESCA | 0.9744 | 0.9915 | 1.0000 |
GBM | 1.0000 | 1.0000 | 1.0000 |
HNSC | 0.9938 | 1.0000 | 0.9735 |
KICH | 1.0000 | 1.0000 | 1.0000 |
KIRC | 0.9983 | 1.0000 | 0.9917 |
KIRP | 1.0000 | 1.0000 | 1.0000 |
LIHC | 1.0000 | 1.0000 | 1.0000 |
LUAD | 0.9913 | 0.9922 | 1.0000 |
LUSC | 1.0000 | 1.0000 | 0.9910 |
PAAD | 1.0000 | 1.0000 | 1.0000 |
PCPG | 1.0000 | 1.0000 | 1.0000 |
READ | 1.0000 | 1.0000 | 1.0000 |
SARC | 0.9811 | 0.9962 | 0.9811 |
SKCM | 1.0000 | 1.0000 | 1.0000 |
STAD | 1.0000 | 0.9900 | 0.9556 |
THCA | 1.0000 | 1.0000 | 1.0000 |
THYM | 1.0000 | 1.0000 | 1.0000 |
UCEC | 0.9992 | 1.0000 | 0.9646 |
Ranking (\(\text {W|T|L}\)) | 1|14|7 | \(\mathbf {4|14|4}\) | 2|13|7 |