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 |