Skip to main content

Table 3 Results of syndrome models for inquiry diagnosis on each label by using ML-kNN, RankSVM, BPMLL and kNN on the 52-symptom subset

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

Syndromes

ML-kNN(%)

kNN(%)

RankSVM(%)

BPMLL(%)

z1

60.3 ± 2.7

61.8 ± 2.4

61.1 ± 2.9

55.5 ± 3.4

z2

67.8 ± 3.1

68.8 ± 3.6

65.7 ± 3.5

63.5 ± 3.4

z3

61.1 ± 3.3

55.5 ± 3.5

54.4 ± 3.8

60.3 ± 3.7

z4

81.2 ± 2.4

73.4 ± 3.2

61.2 ± 4.6

71.6 ± 2.5

z5

54.9 ± 1.8

52.3 ± 2.3

58.0 ± 2.4

53.1 ± 2.9

z6

78.4 ± 4.1

73.9 ± 4.7

61.8 ± 4.9

72.7 ± 4.3