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Table 3 Classification results (Ohsumed collection dataset)

From: A novel multiple kernel fuzzy topic modeling technique for biomedical data

Method

AC (%)

Precision

Recall

F1-Score

K

LSA [5]

48.36

0.4146

0.4224

0.4185

50

LDA [4]

54.10

0.4789

0.5155

0.4970

50

FKLSA(Entropy) [6]

75.21

0.720

0.722

0.746

50

FKLSA(IDF) [6]

75.90

0.722

0.723

0.746

50

FKLSA(Normal) [6]

71.25

0.6551

0.654

0.677

50

FKLSA(ProbIDF) [6]

74.87

0.715

0.714

0.735

50

FKTM [7]

92.35

0.9236

0.9006

0.9119

50

MKFTM

94.10

0.9431

0.9200

0.9213

50

LSA [5]

51.37

0.4430

0.4099

0.4258

100

LDA [4]

54.92

0.4873

0.4783

0.4828

100

FKLSA(Entropy) [6]

76.24

0.727

0.726

0.747

100

FKLSA(IDF) [6]

74.35

0.701

0.703

0.726

100

FKLSA(Normal) [6]

71.08

0.670

0.674

0.694

100

FKLSA(ProbIDF) [6]

74.52

0.702

0.704

0.724

100

FKTM [7]

87.70

0.8867

0.8261

0.8553

100

MKFTM

89.45

0.9063

0.8457

0.8747

100

LSA [5]

52.73

0.4651

0.4969

0.4805

150

LDA [4]

57.10

0.5123

0.5155

0.5139

150

FKLSA(Entropy) [6]

74.87

0.715

0.714

0.735

150

FKLSA(IDF) [6]

76.59

0.732

0.731

0.752

150

FKLSA(Normal) [6]

72.46

0.671

0.673

0.691

150

FKLSA(ProbIDF) [6]

75.04

0.715

0.712

0.735

150

FKTM [7]

90.16

0.8788

0.9006

0.8896

150

MKFTM

92.91

0.8984

0.9203

0.9092

150

LSA [5]

49.73

0.4303

0.4410

0.4356

200

LDA [4]

54.37

0.4819

0.4969

0.4893

200

FKLSA(Entropy) [6]

75.21

0.720

0.721

0.740

200

FKLSA(IDF) [6]

74.18

0.705

0.704

0.725

200

FKLSA(Normal) [6]

71.94

0.671

0.673

0.683

200

FKLSA(ProbIDF) [6]

74.87

0.701

0.702

0.729

200

FKTM [7]

88.25

0.8986

0.8261

0.8608

200

MKFTM

90.35

0.9182

0.8460

0.8802

200