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Table 4 Classification performances of back propagation neural networks on final data set

From: Polymorphisms in folate-metabolizing genes, chromosome damage, and risk of Down syndrome in Italian women: identification of key factors using artificial neural networks

ANN

Sensitivity

Specificity

Global accuracy

ROC AUC

Back propagation 1(a-b)

80

93,33

86,67

0,864

Back propagation 2(a-b)

80

93,33

86,67

0,851

Back propagation 3(a-b)

80

93,33

86,67

0,864

Back propagation 4(a-b)

80

93,33

86,67

0,916

Back propagation 5(a-b)

86,67

93,33

90

0,882

Back propagation 1(b-a)

100

94,12

97,06

0,958

Back propagation 2(b-a)

100

88,24

94,12

0,956

Back propagation 3(b-a)

100

88,24

94,12

0,945

Back propagation 4(b-a)

92,86

94,12

93,49

0,926

Back propagation 5(b-a)

100

94,12

97,06

0,966

Mean

89,95

92,55

91,25

0,91