TABLE II:
Optimized parameter selections with averaged cross-subjects accuracies.
| MLP | Nearest Neighbors | Decision Tree | LDA | Logistic Regression | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| λ A | λ N | avg acc | λ A | λ N | avg acc | λ A | λ N | avg acc | λ A | λ N | avg acc | λ A | λ N | avg acc | |
| AE [25], [26] | 0 | 0 | 72.2% | 0 | 0 | 71.1% | 0 | 0 | 71.2% | 0 | 0 | 76.5% | 0 | 0 | 78.7% |
| cAE [27] | 0 | 0 | 72.9% | 0 | 0 | 72.2% | 0 | 0 | 72.4% | 0 | 0 | 77.8% | 0 | 0 | 79.7% |
| A-cAE [20–22], [24] | 0.005 | 0 | 75.0% | 0.1 | 0 | 73.9% | 0.1 | 0 | 73.4% | 0.05 | 0 | 79.8% | 0.05 | 0 | 80.8% |
| D-cAE | 0 | 0.005 | 75.2% | 0 | 0.01 | 74.9% | 0 | 0.01 | 75.8% | 0 | 0.2 | 80.2% | 0 | 0.2 | 81.8% |
| DA-cAE [18], [19] | 0.01 | 0.005 | 81.0% | 0.1 | 0.01 | 77.0% | 0.2 | 0.01 | 77.3% | 0.2 | 0.2 | 84.3% | 0.2 | 0.2 | 85.3% |
| A-cRAE | 0.02 | 0 | 76.8% | 0.05 | 0 | 75.2% | 0.05 | 0 | 74.1% | 0.1 | 0 | 80.4% | 0.02 | 0 | 81.9% |
| D-cRAE | 0 | 0.05 | 77.2% | 0 | 0.05 | 76.1% | 0 | 0.1 | 75.2% | 0 | 0.05 | 82.0% | 0 | 0.05 | 83.7% |
| DA-cRAE | 0.5 | 0.05 | 83.8% | 0.5 | 0.05 | 79.6% | 0.01 | 0.1 | 81.5% | 0.5 | 0.05 | 84.5% | 0.5 | 0.05 | 85.5% |