Table 9 Performance evaluation metrics/parameters of different machine learning methods based on tenfold cross validation.

From: Covering assisted intuitionistic fuzzy bi-selection technique for data reduction and its applications

Learning methods

Sensitivity

Specificity

Accuracy

MCC

AUC

SMO

71.6

90.0

80.6

0.625

0.808

MLP

78.1

83.1

80.6

0.612

0.863

ROF

91.5

79.2

84.7

0.704

0.925

PART

84.4

80.8

82.6

0.652

0.848

J48

84.4

82.3

83.3

0.666

0.843

RF

89.7

83.8

86.7

0.736

0.950

RARF

90.9

85.6

88.2

0.766

0.956

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