Skip to main content

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