Table 3.
Average accuracy (averaged across all six binary stimuli combinations and all five classifier variants) and best accuracy (averaged across four ‘one versus rest’ stimuli combinations) for classification using individual features.
| ranked features | scatter matrix | average accuracy for all binary stimulus combinations (%) | best accuracy for all ‘one versus rest’ stimulus combinations (%) | |
|---|---|---|---|---|
| F1 | mean (μ) | 0.8453 | 70.87 | 73.01, Mahalanobis |
| F2 | wentropy (WE) | 0.2858 | 69.79 | 62.26, Mahalanobis |
| F3 | Hjorth complexity (cH) | 0.1022 | 66.61 | 60.82, Mahalanobis |
| F4 | interquartile range (IQR) | 0.2838 | 65.07 | 63.62, LDA/Diaglinear |
| F5 | variance (σ2) | 0.0453 | 63.57 | 65.58, LDA/Diaglinear |
| F6 | average spectral power ( ) |
0.1385 | 60.51 | 61.58, Mahalanobis |
| F7 | DFA (α) | 0.1989 | 60.14 | 61.28, Mahalanobis |
| F8 | kurtosis (β) | −0.0637 | 58.06 | 62.64, Mahalanobis |
| F9 | Hjorth mobility (mH) | 0.0064 | 57.45 | 61.44, Mahalanobis |
| F10 | skewness (γ) | −0.5731 | 54.55 | 62.09, Mahalanobis |
| F11 | Hurst exponent (H) | 0.0321 | 52.38 | 61.40, Mahalanobis |