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Table 2 Results of the Randomtree on the missed abortion and diabetes dataset after sampled

From: A hybrid sampling algorithm combining synthetic minority over-sampling technique and edited nearest neighbor for missed abortion diagnosis

Dataset

Algorithm

Original

SM

BSM

ASM

GSM

KSM

CSM

ENN

TL

IHU

RBU

SMTOM

SMENN

Missed abortion

Precision

75.0

77.2

79.1

73.6

84.3

84.4

84.4

81.8

75.0

93.2

64.8

75.8

98.8

Sensitivity

47.3

62.5

71.5

68.4

77.5

78.3

77.9

60.7

47.3

99.1

50.9

67.1

95.9

Specificity

89.2

88.4

85.5

78.3

90.0

89.6

90.0

92.7

89.2

85.7

76.8

83.1

100.0

F-measure

74.9

75.0

78.4

73.3

83.7

83.9

83.9

81.7

74.9

92.4

63.2

74.9

98.8

MCC

40.6

52.7

57.6

47.0

68.0

68.3

68.4

58.1

40.6

85.6

28.7

50.9

97.1

AUC

72.5

79.7

81.4

79.0

85.5

84.5

85.6

80.3

72.5

92.8

57.4

79.6

98.0

Diabetes

Precision

69.1

76.5

74.1

73.1

71.5

77.4

74.6

83.9

73.4

85.1

72.4

78.1

93.2

Sensitivity

55.2

76.6

74.6

76.6

70.8

78.2

74.0

86.2

63.8

86.9

71.3

79.4

95.4

Specificity

76.6

76.4

73.6

69.4

71.8

76.6

75.2

81.3

79.3

83.2

73.5

76.7

90.4

F-measure

69.1

76.5

74.1

73.0

71.3

77.4

74.6

83.8

73.4

85.1

72.4

78.0

93.2

MCC

31.9

53.0

48.2

46.1

42.6

54.8

49.2

67.6

43.3

70.2

44.8

56.1

86.1

AUC

65.9

76.5

74.1

73.0

71.3

77.4

74.6

83.7

71.6

85.1

72.4

78.0

92.8