From: Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale COVID-19 outbreak: based on Adaboost model
10-fold cross- validation
Accuracy
AUC
Recall
Precision
F1-score
Kappa
MCC
Adaboosta
0.7894
0.7767
0.5484
0.7056
0.6049
0.4656
0.4799
Adaboostb
0.7917
0.7803
0.5275
0.7180
0.5977
0.4630
0.4793