Table 2.

Validation and testing accuracy results for the five classification methods that used features from gait temporal parameters.

Seven Sensor Placements (Gait Temporal Features)
Model Name	5-Fold Cross-Validation		Testing Accuracy (%)	Average Precision	Average Recall
	Mean Accuracy (%)	Standard Deviation
Random Forest	58.95238	11.24712	76.08696	0.76	0.76
Multilayer Perceptron	68.15385	11.58815	63.04348	0.68	0.63
Naïve Bayes	68.98168	11.92694	71.73913	0.76	0.72
Adaboost	55.98535	11.97776	65.21739	0.68	0.67
Decision Tree	51.49451	14.74979	60.86957	0.61	0.61