Table 2.
Heart signals prediction results and performance—time window = 2.
| Modality | Model | Accuracy | Precision | Recall | F1-Score |
|---|---|---|---|---|---|
| HRV features + feeling assessment | SVM | 83.34 ± 1.68% | 0.91 | 0.88 | 0.89 |
| KNN | 83.06 ± 1.99% | 0.80 | 0.80 | 0.80 | |
| Decision Tree | 74.28 ± 0.613% | 0.80 | 0.79 | 0.79 | |
| Logistic Regression | 78.93 ± 2.34% | 0.80 | 0.80 | 0.79 | |
| HRV features only | SVM | 78.85 ± 3.04% | 0.79 | 0.81 | 0.78 |
| KNN | 80.17 ± 0.28% | 0.75 | 0.75 | 0.75 | |
| Decision Tree | 76.30 ± 0.98% | 0.71 | 0.71 | 0.71 | |
| Logistic Regression | 79.75 ± 4.31% | 0.79 | 0.79 | 0.79 | |
| Feeling assessment only | SVM | 65.38 ± 8.21% | 0.66 | 0.67 | 0.65 |
| KNN | 41.74 ± 9.68% | 0.46 | 0.47 | 0.41 | |
| Decision Tree | 50.58 ± 7.03% | 0.57 | 0.55 | 0.53 | |
| Logistic Regression | 58.68 ± 11.28% | 0.27 | 0.50 | 0.35 |