Depression Detection on Mumtaz 2016 (10-fold cross-validation)
95.19AccuracySGC
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SGCpipeline=unified zero-shot2026.05 | 95.19 | 93.17 | 97.31 | 95.1 | 98.82 | 97.5 | |
| DiffMDDpipeline=unified zero-shot2026.05 | 93.85 | 92.52 | 94.86 | 93.65 | 95.31 | 96.55 | |
| GC-GRUpipeline=unified zero-shot2026.05 | 90.15 | 91.65 | 89.22 | 89.05 | 92.64 | 93.15 | |
| DeprNetpipeline=unified zero-shot2026.05 | 89.84 | 89.55 | 91.42 | 90.15 | 93.4 | 95.2 | |
| 1D-CNN-Transformerpipeline=unified zero-shot2026.05 | 89.52 | 92.18 | 86.55 | 88.64 | 91.75 | 93.15 | |
| GRU-Convpipeline=unified zero-shot2026.05 | 87.15 | 88.82 | 86.45 | 86.92 | 87.93 | 88.15 | |
| 1D-CNN-LSTMpipeline=unified zero-shot2026.05 | 86.41 | 87.05 | 90.62 | 87.65 | 87.31 | 88.45 | |
| InceptionNetpipeline=unified zero-shot2026.05 | 86.18 | 85.85 | 87.82 | 86.35 | 87.12 | 86.82 | |
| EEGNetpipeline=unified zero-shot2026.05 | 85.15 | — | — | 84.22 | 86.65 | — | |
| CWT-1D-CNNpipeline=unified zero-shot2026.05 | 83.91 | 82.65 | 87.44 | 84.28 | 86.94 | 88.15 | |
| TSceptionpipeline=unified zero-shot2026.05 | 82.73 | 79.45 | 86.62 | 81.65 | 83.23 | 84.75 | |
| CWT-2D-CNNpipeline=unified zero-shot2026.05 | 79.28 | 79.52 | 81.95 | 79.45 | 82.64 | 84.75 | |
| XGBoostpipeline=unified zero-shot2026.05 | 77.65 | 77.41 | 81.52 | 76.84 | 80.52 | 83.15 | |
| SVMpipeline=unified zero-shot2026.05 | 76.12 | 77.05 | 75.81 | 76.32 | 79.21 | 83.15 | |
| LRpipeline=unified zero-shot2026.05 | 73.85 | 73.92 | 74.21 | 74.05 | 76.43 | 81.54 |