TABLE VIII.

Discharge functional independence measure (FIM) motor score prediction results

	Model	Linear SVM			Linear Regression			Random Forest
		RMSE	NRMSE	r	RMSE	NRMSE	r	RMSE	NRMSE	r
M1	M1 (w/o NAC)	4.66	11.65%	0.89**	6.07	15.19%	0.87**	8.14	20.36%	0.61**
	M1	7.36	18.41%	0.82**	7.95	19.87%	0.80**	10.86	27.14%	0.73**
Separate	M2	8.55	21.38%	0.60*	9.82	24.55%	0.55*	10.18	25.45%	0.25
	M3	5.54	13.86%	0.85**	5.43	13.57%	0.86**	10.70	26.76%	0.07
	Mavg	5.54	13.86%	0.87**	5.27	13.18%	0.89**	8.04	20.09%	0.69**
	ME	5.50	13.74%	0.84**	5.69	14.22%	0.84**	9.38	23.46%	0.44
Cumulative	M2	5.49	13.71%	0.85**	5.88	14.69%	0.85**	8.51	21.27%	0.59*
	M3	2.32	5.80%	0.97**†	2.60	6.50%	0.97**†	9.78	24.46%	0.31
	Mavg	4.00	10.01%	0.94**†	4.05	10.12%	0.94**†	7.38	18.46%	0.77**†
	ME	3.41	8.53%	0.95**†	2.90	7.26%	0.96**†	9.30	23.24%	0.45*

avg = average, E = ensemble, M = model, NAC = non-ambulatory circuit, NRMSE = normalized root mean square error, r = Pearson correlation coefficient, RMSE = root mean square error, SVM = support vector machine,

^*p < 0.05,

^**p < 0.01,

^†significantly (p < 0.05) improved results from M₁.