Mumtaz
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Depression Detection | Mumtaz 2016 (10-fold cross-validation) | Accuracy95.19 | 15 | |
| EEG Classification | Mumtaz 2016 | Balanced Accuracy95.85 | 13 | |
| EEG Classification | Mumtaz 2017 | Accuracy (ACC)89.33 | 12 | |
| Major depressive disorder classification | MUMTAZ 2016 | Balanced Accuracy94.39 | 8 | |
| Depression Classification | Mumtaz 2016 (test) | Balanced Accuracy95.85 | 6 | |
| EEG Classification | Mumtaz 2-Class 2016 (test) | Balanced Accuracy94.09 | 5 |
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