Table 3.
Call-level AUC of binary mood-state classification. Train:Test indicates which dataset (Evaluation (Eval), Day-of (DOf), Day-B/A (DB/A)), was used for training and which for testing:
| Part. # | 1 | 2 | 3 | 4 | 5 | 6 | μ ± σ |
|---|---|---|---|---|---|---|---|
| Train:Test | Hypomanic vs Euthymic | ||||||
| Eval:Eval | .78 | – | – | .67 | 1.0 | – | .81±.17 |
| Eval:DOf DOf:DOf |
.69 .66 |
– – |
– – |
.63 .50 |
.51 .79 |
– – |
.61±.09 .65±.14 |
| Eval:DB/A DB/A:DB/A |
.48 .41 |
– – |
– – |
.52 .62 |
.43 .57 |
– – |
.47±.05 .53±.11 |
| Depressed vs Euthymic | |||||||
| Eval:Eval | .42 | .82 | .78 | – | – | .67 | .67±.18 |
| Eval:DOf DOf:DOf |
.49 .68 |
.60 .68 |
.43 .40 |
– – |
– – |
.43 .60 |
.49±.08 .59±.13 |
| Eval:DB/A DB/A:DB/A |
.5 .50 |
.47 .52 |
.42 .53 |
– – |
– – |
.61 .34 |
.52±.09 .52±.13 |