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

Table 1.

Results after applying entropy density to different algorithms

Evaluation criterion Algorithm
ML-KNN wML-KNN
Hamming loss 0.1783 0.0918
One-error 0.3576 0.1855
Coverage 0.6099 0.2333
Average recall 0.7844 0.9018

” indicates that larger values provided better results, whereas “” indicates that smaller values provided better results.