Table 1.
ML algorithms used in the current study [24].
Table 2.
Comparison of baseline characteristics (unweighted).
Fig 1.
ROC curves for six machine learning models in predicting depression.
Ten-fold cross-validation was used to build and evaluate the prediction models. Different colors represent the different machine learning classifiers used in this study. The gray line is the reference corresponding to the performance of a classifier that completely and randomly classifies the condition.
Table 3.
Average metrics of six models trained with stepwise backward elimination.
Table 4.
The most contributing features belonging to at least five of the six models.