Table 2 Area under the curve, accuracy, and the three most important predictors for the prediction of small for gestational age (SGA) birth using logistic regression and five machine learning methods pre-pregnancy and at 26 weeks in primiparous and multiparous women

 Area under the curve

0.592

0.598

0.569

0.601

0.609

0.600

0.662

0.661

0.627

0.650

0.665

0.660

 Accuracy

0.839

0.845

0.815

0.841

0.851

0.841

0.847

0.849

0.829

0.844

0.846

0.849

 Maternal age

●

●

●

●

 Area-level income quintile

●

 Pre-pregnancy smoking

●

●

●

●

●

●

●

●

 Pre-pregnancy BMI

●

●

●

●

●

●

●

 Pre-existing hypertension

●

●

●

●

 Gravidity

●

●

 Weight gain at 26 wks

●

●

●

●

 Smoking in pregnancy

●

●

●

●

 Pregnancy-induced hypertension

●

●

 Area under the curve

0.741

0.744

0.711

0.715

0.728

0.741

0.771

0.771

0.713

0.745

0.766

0.772

 Accuracy

0.905

0.903

0.916

0.897

0.902

0.906

0.912

0.912

0.801

0.903

0.911

0.914

 Pre-pregnancy smoking

●

●

●

●

●

●

 Pre-pregnancy BMI

●

●

●

●

●

●

●

 Pre-existing hypertension

●

 Previous LBW infant

●

●

●

●

●

●

●

●

 Previous infant > 4080 g

●

●

●

●

●

 Previous preterm delivery < 29 wks

●

 Weight gain at 26 wks

●

●

●

●

 Smoking in pregnancy

●

●

 Pregnancy-induced hypertension

●

●