Table 6 Performances in recall
From: Detecting depression using an ensemble classifier based on Quality of Life scales
Models | \(\mathbb {D}_{o}\) | \(\mathbb {D}_{ph}\) | \(\mathbb {D}_{r}\) | \(\mathbb {D}_{s}\) | \(\mathbb {D}_{m}\) | \(\mathbb {D}_{pa}\) | \(\mathbb {D}_{g}\) |
|---|---|---|---|---|---|---|---|
SVM | 0.990 | 1.000 | 1.000 | 1.000 | 0.996 | 1.000 | 0.999 |
ANN | 0.955 | 0.970 | 0.961 | 0.969 | 0.985 | 1.000 | 0.937 |
KNN | 0.993 | 0.981 | 0.986 | 0.977 | 0.980 | 0.968 | 0.994 |
DT | 0.981 | 0.992 | 0.997 | 0.993 | 0.982 | 1.000 | 0.992 |
Ensemble | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |