. Author manuscript; available in PMC: 2022 May 11.

Published in final edited form as: IEEE J Biomed Health Inform. 2021 May 11;25(5):1824–1831. doi: 10.1109/JBHI.2020.3025049

TABLE III.

Machine learning model performance for various feature sets of all Models

Feature Set	Model	ACC	SPE	SEN	AUC	F1
Spatiotemporal	ENS	0.54	0.53	0.56	0.47	0.54
	LR	0.59	0.74	0.44	0.65	0.52
	KNN	0.57	0.53	*0.61*	0.54	0.58
	SVM	*0.73*	*0.89*	0.55	*0.73*	*0.67*
	Tree	0.38	0.32	0.44	0.44	0.41
Stride	ENS	0.61	0.74	0.44	0.65	*0.59*
	LR	*0.65*	0.73	*0.56*	*0.69*	*0.59*
	KNN	0.57	0.69	0.42	0.60	0.47
	SVM	0.62	*0.84*	0.36	*0.69*	0.46
	Tree	0.57	0.66	0.45	0.60	0.48
Aggregated Stride	ENS	0.57	0.78	0.35	0.75	0.44
	LR	*0.66*	0.78	*0.53*	*0.76*	*0.60*
	KNN	0.63	0.83	0.41	0.71	0.52
	SVM	0.62	*0.84*	0.36	0.69	0.46
	Tree	0.63	0.72	0.53	0.65	0.58
EDSS	ENS	0.65	0.74	0.56	0.54	0.61
	LR	*0.70*	0.74	*0.67*	0.63	*0.69*
	KNN	0.65	0.74	0.56	0.64	0.61
	SVM	0.62	*0.89*	0.33	*0.71*	0.46
	Tree	0.54	0.53	0.56	0.47	0.54
PRM	ENS	0.65	0.63	0.67	0.64	0.65
	LR	0.70	0.79	0.61	0.65	0.67
	KNN	0.73	0.68	0.78	0.72	0.74
	SVM	0.70	*0.84*	0.56	*0.74*	0.65
	Tree	*0.78*	0.68	*0.89*	0.60	*0.80*
PRM + EDSS	ENS	*0.73*	*0.84*	0.61	0.74	0.69
	LR	0.70	0.79	0.61	*0.79*	0.67
	KNN	0.68	0.58	*0.78*	0.69	*0.70*
	SVM	0.65	*0.84*	0.44	0.77	0.55
	Tree	0.68	0.58	*0.78*	0.69	*0.70*

ENS: Ensemble; LR: Logistic Regression; KNN: K-Nearest Neighbors; SVM: Support Vector Machine; Tree: Decision Tree; AUC: Area Under the Receiver Operating Characteristic Curve; ACC: Accuracy; SPE: Specificity; SEN: Sensitivity; F1: F1-Score.