Table 2.
Results after applying PseAAC to different algorithms
| Evaluation criterion | Algorithm | |
|---|---|---|
| ML-KNN | wML-KNN | |
| Hamming loss | 0.1769 | 0.0798 |
| One-error | 0.3595 | 0.1587 |
| Coverage | 0.5946 | 0.2084 |
| Average Recall | 0.7871 | 0.9149 |
“” indicates that larger values provided better results, whereas “” indicates that smaller values provided better results.