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Table 2 Performance of established classification techniques compared to bagged J48.

From: Enhancing navigation in biomedical databases by community voting and database-driven text classification

 

Bagged

J48

Naïve

Bayes

SVM

k-Nearest Neighbor

Trees

PART

Dataset

  

Polynomial kernel degree

  

J48

Random

Forest

 
   

1

2

3

1

3

   

CA

92.1 (5.0)

87.1 (8.0)

91.4 (5.7)

89.4 (6.6)

79.4 (5.9) •

66.9 (10.3) •

73.2 (9.2) •

88.7 (6.5)

81.7 (8.0) •

86.3 (8.5)

CVD

91.8 (4.6)

89.5 (7.2)

92.5 (4.7)

89.2 (5.1)

83.6 (6.5) •

56.9 (12.4) •

64.3 (14.3) •

90.5 (5.7)

83.9 (6.7) •

85.6 (6.8)

DM

96.4 (3.6)

83.3 (8.3) •

95.2 (3.8)

89.0 (5.2) •

78.4 (4.0) •

74.4 (6.9) •

75.9 (6.3) •

96.5 (4.5)

83.1 (6.8) •

96.2 (4.7)

APO

98.3 (3.1)

94.8 (4.8)

98.3 (2.6)

96.3 (4.0)

41.7 (22.1) •

24.2 (18.4) •

33.4 (18.6) •

98.1 (3.8)

86.9 (7.4) •

97.2 (3.7)

ANG

95.3 (4.2)

94.3 (4.5)

95.3 (4.1)

93.4 (4.4)

91.5 (7.0)

47.7 (18.3) •

48.5 (18.5) •

94.0 (5.4)

89.5 (5.7)

91.3 (6.1)

MI

94.5 (3.9)

91.0 (5.6)

94.5 (4.1)

89.9 (4.4)

77.1 (4.0) •

73.4 (4.9) •

71.9 (4.1) •

92.1 (5.0)

85.4 (7.1) •

92.2 (4.8)

BD

90.7 (5.3)

87.1 (6.2)

91.1 (5.4)

88.0 (5.6)

75.8 (4.5) •

69.7 (2.9) •

67.4 (1.3) •

86.7 (6.4)

82.3 (7.8)

83.4 (7.4) •

  1. F-Measure (in %) and standard deviation in parentheses. • statistically significant degradation. No statistically significant improvement was observed.