Table 3:
Results of multimodal methods on training set LOSO cross-validation
| FS | Feature Set | Accu. | F1 | Spec. |
|---|---|---|---|---|
| Early | g-LIWC+eGeMAPS | 81.93 | 82.56 | 82.28 |
| g-BERTword+eGeMAPS | 75.90 | 76.74 | 75.95 | |
| g-BERTsent+eGeMAPS | 74.10 | 75.71 | 70.89 | |
|
|
||||
| g-LIWC+ComParE | 71.69 | 73.45 | 68.35 | |
| g-BERTword+ComParE | 74.70 | 75.58 | 74.68 | |
| g-BERTsent+ComParE | 75.30 | 76.02 | 75.95 | |
|
|
||||
| g-LIWC+Paraling. | 75.90 | 76.74 | 75.95 | |
| g-BERTword+Paraling. | 77.11 | 77.91 | 77.22 | |
| g-BERTsent+Paraling. | 78.92 | 80.23 | 75.95 | |
|
| ||||
| Late | g-LIWC + eGeMAPS | 72.29 | 74.16 | 68.35 |
| g-BERTword + eGeMAPS | 77.71 | 78.61 | 77.22 | |
| g-BERTsent + eGeMAPS | 75.90 | 77.01 | 74.68 | |
|
|
||||
| g-LIWC + ComParE | 71.08 | 72.09 | 70.89 | |
| g-BERTword + ComParE | 72.89 | 74.29 | 70.89 | |
| g-BERTsent + ComParE | 72.29 | 73.26 | 72.16 | |
|
|
||||
| g-LIWC + Paraling. | 73.49 | 74.42 | 73.42 | |
| g-BERTword + Paraling. | 72.29 | 74.73 | 65.82 | |
| g-BERTsent + Paraling. | 71.08 | 71.76 | 72.15 | |
|
| ||||
| Ens. | Overall Avg. | 75.3 | 76.84 | 72.15 |
| Overall Maj. | 77.11 | 79.12 | 70.89 | |
| Overall Wgt. | 80.12 | 80.92 | 79.75 | |
|
|
||||
| Top-10 Avg. | 79.52 | 80.23 | 79.75 | |
| Top-10 Maj. | 80.72 | 81.18 | 82.28 | |
| Top-10 Wgt. | 79.52 | 80.23 | 79.75 | |