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Table 3 Comparison of certain prediction

From: Using random forest for reliable classification and cost-sensitive learning for medical diagnosis

Dataset

Confidence level

CP-RF

TCM-KNN

TCM-SVM

Sonar

99%

53.15%

44.23%

23.07%

 

95%

77.89%

73.07%

48.07%

 

90%

86.74%

80.76%

71.15%

 

Confidence level

CP-RF

TCM-KNN

TCM-SVM

Liver

99%

36.28%

17.56%

25.31%

 

95%

67.21%

20.56%

31.45%

 

90%

79.77%

36.08%

58.01%

 

Confidence level

CP-RF

TCM-KNN

TCM-SVM

Pima

99%

42.36%

39.46%

24.05%

 

95%

69.56%

44.56%

28.35%

 

90%

74.71%

61.97%

45.12%

 

Confidence level

CP-RF

TCM-KNN

TCM-SVM

Vote

99%

87.76%

83.49%

80.21%

 

95%

92.87%

91.75%

90.72%

 

90%

94.89%

92.56%

91.05%

 

Confidence level

CP-RF

TCM-KNN

TCM-SVM

Satellite

99%

73.07%

64.47%

68.07%

 

95%

87.92%

85.97%

88.41%

 

90%

92.28%

90.72%

91.76%

 

Confidence level

CP-RF

TCM-KNN

TCM-SVM

Isolet

99%

57.95%

54.87%

56.95%

 

95%

74.72%

70.37%

72.07%

 

90%

87.51%

81.75%

82.40%

 

Confidence level

CP-RF

TCM-KNN

TCM-SVM

Soybean

99%

73.85%

54.57%

63.97%

 

95%

79.32%

73.45%

78.83%

 

90%

90.49%

80.29%

81.72%

 

Confidence level

CP-RF

TCM-KNN

TCM-SVM

Covertype

99%

52.74%

47.82%

50.42%

 

95%

68.73%

63.77%

65.07%

 

90%

76.45%

72.16%

73.75%