. Author manuscript; available in PMC: 2018 Mar 21.

Published in final edited form as: Physiol Meas. 2016 Sep 21;37(10):1813–1833. doi: 10.1088/0967-3334/37/10/1813

Table 3.

Results of fitting a linear model on subsets of features selected by different methods.

Method	RMSE	R²	# Miss	# Correct	% Correct	Sensitivity	Specificity
Sequential Feature Selection	0.070	0.374	51	176	77.53	0.68	0.84
LASSO	0.073	0.389	53	174	76.65	0.70	0.81
Ridge Regression	0.075	0.375	52	175	77.09	0.71	0.81
Elastic Net	0.072	0.388	51	176	77.53	0.71	0.81
Top five features^a	0.072	0.410	47	180	79.30	0.74	0.83

Sensitivity, specificity and accuracy (# miss, # correct and % correct) calculated as classifying older adults with mobility impairment defined as walking speed <0.8 m/s.

Computed the summation of each assigned coefficients by weighted linear regression as described in the methods.