Table 2.

Optimal parameters for each model.

PPDa prediction model name	Parameter settings
E-RFb	n_estimator=300, criterion=entropy, max_features=sqrt
E-SVMc	Kernel=linear
F-RFd	n_estimator=300, max_features=auto, criterion=gini
F-SVMe	Kernel=linear

^aPPD: postpartum depression.

^bE-RF: model built using the random forest algorithm and expert consultation method.

^cE-SVM: model built using the support vector machine algorithm and expert consultation method.

^dF-RF: model built using the random forest algorithm and Random forest-based filter feature selection method.

^eF-SVM: model built using the support vector machine algorithm and Random forest-based filter feature section method.