TABLE 3.
Performance of the best 10 combinations in classifying the good-quality segment.
| Rule | Good accuracy | R1 accuracy | R2 accuracy | Accuracy | Brier | Roc | Fbeta |
|---|---|---|---|---|---|---|---|
| Entropy STD + CVSD | 0.8978 | 0.7381 | 0.971 | 0.799 | 0.1264 | 0.8467 | 0.8785 |
| MSQ + CVSD | 0.8489 | 0.7762 | 1 | 0.7651 | 0.1552 | 0.8402 | 0.8604 |
| Entropy + CVSD | 0.8367 | 0.7905 | 1 | 0.7557 | 0.162 | 0.839 | 0.8569 |
| SDNN + CVSD | 0.8967 | 0.719 | 0.9565 | 0.7964 | 0.1315 | 0.8372 | 0.8729 |
| Kurtosis mean + CVSD | 0.9044 | 0.7095 | 0.942 | 0.8007 | 0.1281 | 0.8357 | 0.8747 |
| Correlogram + CVSD | 0.8933 | 0.719 | 0.9565 | 0.7939 | 0.134 | 0.8356 | 0.8709 |
| RMSSD + CVSD | 0.9 | 0.7143 | 0.942 | 0.7973 | 0.1306 | 0.8353 | 0.873 |
| Zero crossing rate + CVSD | 0.9033 | 0.7095 | 0.942 | 0.7998 | 0.1289 | 0.8352 | 0.8741 |
| Kurtosis median + CVSD | 0.9033 | 0.7095 | 0.942 | 0.7998 | 0.1289 | 0.8352 | 0.8741 |
| CVSD + CVNNI | 0.9033 | 0.7095 | 0.942 | 0.7998 | 0.1289 | 0.8352 | 0.8741 |