TABLE 3. Best hyperparameter combinations and scores when using 14 and 23 features for meal and non-meal models.
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|---|---|---|---|---|---|
| Meal | No meal | Meal | No meal | F1-score | |
| 14 feat | 1 | 3 | 7 | 9 | 0.831 |
| 3 | 7 | 7 | 7 | 0.831 | |
| 7 | 7 | 9 | 5 | 0.830 | |
| 23 feat | 5 | 9 | 7 | 5 | 0.847 |
| 3 | 9 | 7 | 5 | 0.838 | |
| 7 | 9 | 3 | 5 | 0.833 | |


