3-class classification on Frustration detection dataset (test)
44.1AccuracyCNN–LSTM
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CNN–LSTMType=Time series2026.05 | 44.1 | 45.5 | 44.1 | 43 | |
| Random ForestType=Tabular2026.05 | 42.9 | 46.6 | 42.9 | 43 | |
| 1D CNNType=Time series2026.05 | 42.7 | 40.4 | 42.7 | 39.1 | |
| SVM RBFType=Tabular2026.05 | 42.3 | 41.7 | 42.3 | 41.1 | |
| LSTMType=Time series2026.05 | 42.3 | 42.3 | 42.3 | 40.6 | |
| Gradient BoostingType=Tabular2026.05 | 42.2 | 42.8 | 42.2 | 41.5 | |
| 2D CNNType=Spectrograms2026.05 | 41.9 | 40.6 | 41.9 | 39.3 | |
| MLPType=Tabular2026.05 | 40.6 | 41.1 | 40.6 | 38.8 | |
| KNNType=Tabular2026.05 | 40.2 | 39.5 | 40.2 | 37.7 | |
| Decision TreeType=Tabular2026.05 | 36.4 | 35.4 | 36.4 | 34.9 |