Skip to main content
. 2019 Jun 18;27(Suppl 1):185–193. doi: 10.3233/THC-199018

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.