Table 2 The areas under the receiver operating characteristic curve (AUC) for the random forest.

From: Machine learning analysis with population data for prepregnancy and perinatal risk factors for the neurodevelopmental delay of offspring

 

MDD

CDD

NDD

Logistic regression of interaction and non-linearity terms

 Accuracy

0.67

0.67

0.67

 AUC

0.50

0.52

0.50

 Sensitivity

0.67

0.67

0.67

 Specificity

0.46

0.56

0.50

 Confusion matrix

40,586

159

39,839

926

39,358

304

20,103

137

19,271

1160

19,395

298

Random forest

 Accuracy

0.78

0.80

0.75

 AUC

0.79

0.82

0.74

 Sensitivity

0.80

0.82

0.77

 Specificity

0.73

0.73

0.70

 Confusion matrix

36,763

3993

36,455

4497

35,685

3951

9471

10,758

7782

12,463

10,628

9091