Table 16 Descriptive Statistics of employed eight classifiers.

From: An empirical analysis on webservice antipattern prediction in different variants of machine learning perspective

 

Accuracy

AUC

Friedman

Mean

Min

Median

Max

Q3

Q1

Mean

Min

Median

Max

Q3

Q1

Rank

MNB

76.42

42.33

79.76

94.88

87.80

65.48

0.76

0.15

0.81

0.99

0.90

0.62

24.71

BNB

74.62

43.56

79.20

96.46

85.12

62.20

0.70

0.17

0.74

0.97

0.85

0.57

27.34

GNB

78.29

13.27

81.55

99.53

91.03

68.54

0.84

0.35

0.89

1.00

0.95

0.77

16.19

DT

91.78

76.85

92.48

100.00

95.12

89.27

0.88

0.43

0.92

1.00

0.95

0.85

15.08

LOGR

83.02

48.40

86.36

98.21

92.22

75.00

0.84

0.33

0.88

1.00

0.95

0.77

17.55

KNN

90.22

70.68

91.15

99.06

94.20

87.76

0.92

0.39

0.96

1.00

0.97

0.91

9.89

SVC-LIN

71.21

14.16

70.49

98.51

78.54

63.85

0.63

0.38

0.60

1.00

0.69

0.52

27.60

SVC-POLY

74.08

34.51

73.41

98.81

80.00

67.31

0.64

0.17

0.62

1.00

0.70

0.54

26.18

SVC-RBF

73.68

19.47

73.41

97.91

79.50

67.32

0.65

0.22

0.62

1.00

0.73

0.54

25.38

MLP-LNF

85.16

42.72

91.15

99.40

94.97

82.77

0.82

0.18

0.93

1.00

0.96

0.76

15.93

MLP-SG

78.57

41.09

85.37

98.58

92.49

63.39

0.74

0.08

0.82

1.00

0.95

0.51

22.33

MLP-ADAM

86.90

45.77

91.15

99.30

94.63

84.64

0.85

0.18

0.94

1.00

0.98

0.79

12.73

BAG

89.46

73.37

90.25

98.58

93.83

86.87

0.92

0.29

0.96

1.00

0.98

0.90

7.78

RF

93.49

81.79

94.39

100.00

96.43

90.98

0.94

0.31

0.97

1.00

0.99

0.94

5.78

EXTR

94.28

81.68

95.07

99.76

96.90

92.10

0.94

0.35

0.98

1.00

0.99

0.95

5.35

AdaB

90.16

68.32

91.46

99.76

94.69

87.17

0.91

0.37

0.95

1.00

0.98

0.88

9.81

GraB

89.95

67.50

91.34

99.53

94.39

87.12

0.88

0.05

0.95

1.00

0.98

0.85

11.29

DL1

83.23

44.44

86.59

99.06

92.92

75.26

0.83

0.20

0.88

1.00

0.96

0.75

18.40

DL2

84.74

43.46

88.96

99.10

93.90

77.65

0.84

0.19

0.89

1.00

0.96

0.78

16.46

DL3

84.51

43.21

89.38

99.06

93.88

77.59

0.84

0.19

0.89

1.00

0.96

0.77

17.22

DL4

82.19

43.21

88.52

99.10

93.81

73.44

0.81

0.19

0.87

1.00

0.95

0.74

19.87

DL5

81.18

42.96

86.30

99.53

93.34

70.83

0.82

0.27

0.87

1.00

0.96

0.74

18.12

DL6

80.98

43.66

85.12

99.29

93.41

71.31

0.82

0.21

0.86

1.00

0.96

0.74

18.45

WELM-SIG

73.57

31.86

75.55

96.23

84.15

64.54

0.78

0.31

0.82

1.00

0.91

0.67

22.43

WELM-SIN

75.51

30.97

77.80

98.11

86.01

66.05

0.80

0.33

0.84

1.00

0.93

0.72

19.25

WELM-RBS

75.04

20.35

77.76

97.88

85.84

65.59

0.80

0.32

0.84

1.00

0.93

0.71

19.47

WELM-TRBS

75.56

20.35

77.84

98.11

86.34

66.09

0.81

0.34

0.85

1.00

0.94

0.71

18.09

LSSVM-LIN

86.51

55.20

89.38

100.00

94.25

79.78

0.89

0.54

0.93

1.00

0.98

0.82

9.85

LSSVM-Poly

92.21

58.91

93.89

100.00

97.78

89.36

0.95

0.63

0.98

1.00

1.00

0.93

3.87

LSSVM-RBF

98.23

85.15

99.06

100.00

99.51

97.80

0.99

0.74

1.00

1.00

1.00

1.00

1.18

ELM-LIN

77.30

49.12

80.76

98.35

89.38

66.34

0.70

0.33

0.71

0.98

0.84

0.50

27.26

ELM-RBF

79.91

49.27

83.49

98.11

90.71

71.32

0.72

0.49

0.75

0.98

0.86

0.53

26.08

ELM-Poly

81.89

49.27

86.29

98.82

92.48

73.79

0.75

0.48

0.78

0.99

0.89

0.62

24.08