Table 1:

Classification performance of Random Forest models using $P{S}_{10}$ periodicity scores (Equation 13) derived from pose estimation and accelerometer data. Metrics are reported for binary (None vs. SMM) and multiclass (None, Rock, Flap, Flap-Rock) classification settings. Values reflect per-class precision, recall, and F1-score, along with the overall weighted F1-score.

Class	Pose Estimation				Accelerometer
	Precision	Recall	F1	Support	Precision	Recall	F1	Support
Binary Classification
None	0.83	0.95	0.88	449	0.89	0.95	0.92	511
SMM	0.91	0.72	0.80	319	0.93	0.86	0.89	396
Weighted F1				0.85				0.91
Multiclass Classification
None	0.80	0.92	0.86	449	0.89	0.94	0.91	511
Rock	0.87	0.78	0.82	259	0.93	0.86	0.89	299
Flap	0.22	0.09	0.13	43	0.68	0.72	0.70	65
Flap-Rock	0.50	0.12	0.19	17	0.75	0.56	0.64	32
Weighted F1				0.79				0.88