Table 4 Parameter setting and recognition performance of comparative methods
| Â | Method | Parameters | Description | Accuracy |
|---|---|---|---|---|
1 | k-NN | k=1 | Â | 44.30% |
| Â | SVM | Linear kernel, cost C=200, tolerance E=0.001, epsilon for the loss function P=1.0E-12 | One sample from one trial | 51.10% |
| Â | C4.5 | - | Â | 47.24% |
| Â | Random forest | - | Â | 46.69% |
2 | One-against-Rest | k-NN, majority voting | 29 samples from one trial | 51.13% |
3 | One-against-One | k-NN, majority voting | Â | 52.16% |
| Â | Three-stage decision | Two pools: HA and LA | Â | 77.57% |