Table 4. Performance metrics were evaluated by the three ML models (random forest classifier, SVM, and Naïve Bayes) with six muscle datasets.

Highest accuracies are heighted in the table as bold.

	Random Forest Classifier				Support Vector Machine				Naive Bayes
Muscles	Accuracy	Precision	Recall	F1 score	Accuracy	Precision	Recall	F1 score	Accuracy	Precision	Recall	F1 score
Biceps	0.40	0.27	0.33	0.29	0.45	0.46	0.39	0.37	0.47	0.46	0.45	0.45
Deltoid	0.55	0.40	0.43	0.41	0.57	0.39	0.45	0.41	0.28	0.3	0.25	0.26
ECU	0.61	0.73	0.53	0.51	0.41	0.30	0.35	0.30	0.43	0.40	0.41	0.39
FCU	0.45	0.31	0.37	0.32	0.35	0.25	0.30	0.24	0.35	0.25	0.26	0.25
TE	0.55	0.39	0.44	0.40	0.36	0.23	0.29	0.25	0.36	0.32	0.33	0.30
Triceps	0.51	0.36	0.41	0.37	0.53	0.35	0.42	0.38	0.31	0.31	0.28	0.28