Table 5.
Accuracy results of Random Subspace Learning-based K-Nearest Neighbor (RSL-KNN) under binary classification.
| Dataset | 5 | 15 | 20 |
|---|---|---|---|
| Sub-dataset 1 | 95.7108% | 95.8921% | 95.8719% |
| Sub-dataset 2 | 95.0483% | 95.2456% | 95.1272% |
| Sub-dataset 3 | 95.7341% | 95.9926% | 95.9187% |
| Sub-dataset 4 | 95.0980% | 95.1749% | 95.1749% |
| Sub-dataset 5 | 96.2798% | 96.3767% | 96.5511% |
| Sub-dataset 6 | 95.0473% | 95.7318% | 95.7318% |
| Sub-dataset 7 | 94.9007% | 95.3209% | 95.2636% |
| Sub-dataset 8 | 95.0517% | 95.3904% | 95.5974% |
| Sub-dataset 9 | 94.7753% | 95.1685% | 95.1685% |
| Sub-dataset 10 | 95.5827% | 96.0855% | 96.1393% |
| Sub-dataset 11 | 95.7913% | 95.9246% | 95.7722% |
| Sub-dataset 12 | 95.5781% | 95.7695% | 95.9418% |
| Sub-dataset 13 | 96.2626% | 96.7179% | 96.7369% |
| Sub-dataset 14 | 95.3275% | 95.4839% | 95.4839% |
| Sub-dataset 15 | 94.8635% | 95.0152% | 95.1099% |