Research Article
[Retracted] Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)
Table 4
Classification accuracies of classifiers applied to extracted features by SE.
| Subjects | KNN | LR | DT | LD | GNB | SVM |
| 1 | 0.71 | 0.77 | 0.72 | 0.78 | 0.72 | 0.82 | 2 | 0.88 | 0.93 | 0.89 | 0.93 | 0.93 | 0.96 | 3 | 0.83 | 0.88 | 0.87 | 0.87 | 0.89 | 0.92 | 4 | 0.79 | 0.81 | 0.70 | 0.81 | 0.71 | 0.77 | 5 | 0.85 | 0.90 | 0.90 | 0.92 | 0.96 | 0.96 | 6 | 0.99 | 0.99 | 0.96 | 0.99 | 0.98 | 0.99 | 7 | 0.94 | 0.97 | 0.95 | 0.97 | 0.98 | 0.98 | 8 | 0.87 | 0.87 | 0.90 | 0.89 | 0.91 | 0.93 | 9 | 0.92 | 0.93 | 0.89 | 0.92 | 0.93 | 0.97 | Average accuracy | 0.86 | 0.89 | 0.86 | 0.90 | 0.89 | 0.92 |
|
|