Table 4 Precision, recall and f1-score results for finding the time windows with low activeness
From: Modeling long-term human activeness using recurrent neural networks for biometric data
Approach | Definition | Heart Rates | Calories | Footsteps | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
Pr. | Rc. | F1 | Pr. | Rc. | F1 | Pr. | Rc. | F1 | ||
Approach 1 | Definition 1 | .66 | .66 | .66 | .78 | .75 | .75 | .80 | .77 | .78 |
Definition 2 | .70 | .60 | .61 | .72 | .61 | .62 | .74 | .63 | .64 | |
Approach 2 | Definition 2 | Precision=.84, recall=.65, f1-score=.66 | ||||||||