Table 3.
Model Accuracies For Accelerometer only vs Multi-sensor Classification
| Classification Case | Accuracy, Best Model and Loss Function | |
|---|---|---|
| ACC, EDA, & HR | ACC Only | |
| Stress vs. No-Stress | 81.30% | 74.50% |
| Fine Gaussian SVM | Fine Gaussian SVM | |
| 0.08 | 0.13 | |
| Craving vs. No-Craving | 82.10% | 75.70% |
| Fine Gaussian SVM | Fine Gaussian SVM | |
| 0.09 | 0.13 | |
| Craving vs. Stress | 80.70% | 76.80% |
| Fine Gaussian SVM | Fine Gaussian SVM | |
| 0.09 | 0.12 | |
| Craving vs. Stress vs. No-Stress | 66.90% | 59.30% |
| Fine Gaussian SVM | Fine Gaussian SVM | |
| 0.20 | 0.26 |