Table 4.

The results of the shoulder task identification using machine learning approaches (%).

Shoulder Task	Sensitivity			Precision			F-Score
	SVM	kNN	CART	SVM	kNN	CART	SVM	kNN	CART
T1	94.12	82.35	70.59	100.00	60.87	66.67	96.97	70.00	68.57
T2	100.00	64.71	64.71	85.00	91.67	78.57	91.89	75.86	70.97
T3	88.24	76.47	82.35	71.43	86.67	77.78	78.95	81.25	80.00
T4	82.35	82.35	76.47	100.00	82.35	68.42	90.32	82.35	72.22
T5	70.59	88.24	76.47	85.71	83.33	81.25	77.42	85.71	78.79
Overall	87.06	78.82	74.12	88.43	80.98	74.54	87.11	79.04	74.11

Note. SVM: support vector machine; kNN: k-nearest-neighbors; CART: classification and regression tree.