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Table 1 Results of syndrome models for inquiry diagnosis by using ML-kNN, RankSVM, BPMLL and kNN with k = 5

From: Modelling of inquiry diagnosis for coronary heart disease in traditional Chinese medicine by using multi-label learning

Evaluation criteria

ML-kNN

kNN

RankSVM

BPMLL

Average_Precision(%)

77.4 ± 3.3

73.6 ± 3.1

71.0 ± 2.1

75.4 ± 2.7

Coverage

3.31 ± 0.31

3.44 ± 0.30

3.69 ± 0.28

3.36 ± 0.33

Ranking_Loss

0.283 ± 0.035

0.386 ± 0.037

0.419 ± 0.041

0.311 ± 0.039