Skip to main content

Table 3 Features and performances of the ensemble classifier

From: Detecting depression using an ensemble classifier based on Quality of Life scales

Dataset F1 score Accuracy Precision Recall
\(\mathbb {D}_{o}\) 0.976 0.954 0.956 1.000
\(\mathbb {D}_{ph}\) 0.964 0.931 0.934 1.000
\(\mathbb {D}_{r}\) 0.963 0.929 0.929 1.000
\(\mathbb {D}_{s}\) 0.964 0.931 0.931 1.000
\(\mathbb {D}_{m}\) 0.975 0.953 0.960 0.999
\(\mathbb {D}_{pa}\) 0.961 0.925 0.925 1.000
\(\mathbb {D}_{g}\) 0.964 0.931 0.930 1.000