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The 4-class classification accuracy of the random forest with different kinds of features
| Basic features | Basic + HE | Basic + CD | Basic + LLE | Basic + L–Z | Basic + refined L–Z | |
|---|---|---|---|---|---|---|
| Accuracy (%) | 79.96 (1.99) | 80.62 (2.13) | 80.48 (2.06) | 79.84 (1.91) | 85.21 (1.68) | 86.56 (1.85) |
CD Correlation dimension, HE Hurst exponent, LLE Largest Lyapunov exponent
