表 1. Results of different classifiers with time-window-based metrics.
基于时间窗的不同分类模型分类结果
| 分类器 | Acc | Sen | Spc | AUC |
| RF | 0.692 8±0.014 6 | 0.656 9±0.018 6 | 0.734 5±0.018 9 | 0.75 |
| KNN | 0.723 6±0.012 6 | 0.721 2±0.033 0 | 0.728 6±0.039 7 | 0.80 |
| XGB | 0.746 7±0.018 2 | 0.714 2±0.015 9 | 0.789 2±0.021 4 | 0.82 |
| MLP | 0.801 1±0.011 9 | 0.788 6±0.014 8 | 0.811 4±0.012 4 | 0.88 |
| SVM | 0.835 1±0.009 3 | 0.803 6±0.023 3 | 0.868 8±0.021 5 | 0.90 |
| Ruffini等[37] | 0.878 4±0.012 8 | 0.849 3±0.175 1 | 0.909 6±0.012 1 | 0.94 |
| 本文方法 | 0.902 4±0.009 5 | 0.887 1±0.015 7 | 0.918 8±0.014 1 | 0.96 |