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. 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.