Table 11.

Results of pipelined machine learning model execution.

Dataset type	Model	Accuracy score in data preparation pipeline	Accuracy score in feature extraction pipeline
Fitbit (public)	DecisionTreeClassifier (criterion = "entropy")	A = 96.06, P = 96.00, R = 96.00, F1 = 96.00, MCC = 95.30	A = 95.42, P = 95.00, R = 95.00, F1 = 95.00, MCC = 94.30
MOX2-5 (private)	DecisionTreeClassifier (criterion = "entropy")	A = 98.44, P = 98.00, R = 98.00, F1 = 98.00, MCC = 98.44	A = 98.44, P = 98.00, R = 98.00, F1 = 98.00, MCC = 98.44
Combined for Transfer learning	DecisionTreeClassifier (criterion = "entropy")	A = 97.21, P = 97.00, R = 97.00, F1 = 97.00, MCC = 97.21	A = 95.91, P = 95.00, R = 95.00, F1 = 95.00, MCC = 95.91