Table 4 Outcomes of SVM-based models in predicting distant metastasis for the two validation cohorts

From: Support vector machine-based nomogram predicts postoperative distant metastasis for patients with oesophageal squamous cell carcinoma

 

Predicted outcome

Predictive values (%)

Models

H

L

Sensitivity

Specificity

PPV

NPV

Accuracy

Validation cohort ( n =164)

SVM1

42

122

44.7

90.9

81.0

65.6

69.5

SVM2

41

123

44.7

92.1

82.9

65.9

70.1

SVM3

48

116

55.3

93.2

87.5

70.7

75.6

SVM4

45

119

56.6

97.7

95.6

72.3

78.7

Mixed validation cohort ( n =161)

SVM1’

42

119

51.7

88.4

71.4

76.5

75.2

SVM2’

58

103

67.2

81.6

67.2

81.6

76.4

SVM3’

52

109

67.2

87.4

75

82.6

80.1

SVM4’

50

111

65.5

88.4

76

82.0

80.1

  1. Abbreviations: H=high risk of distant organ metastasis; L=low risk of distant organ metastasis; NPV=negative predictive value; PPV=positive predictive value; SVM=support vector machine.
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