Model LOOCV performance comparisons
SENSITIVITY
The segmented model LOOCV performance results and weights of four different components (straight walk, turning, standing, and sitting) in all model (SVM or RF) and feature group (FG I, II, III) combinations are shown in The average ensemble classification model validation performance result was obtained as mentioned in the Methods. The validation results of SVM and RF with FG I, II, and III are shown in Table LOOCV performance of the weighted average ensemble classification modelsThe significance of bold were used to highlight the best performance among all the others in Table LOOCV Accuracy, Kappa, Sensitivity, Specificity and AUC of Support Vector Machine and Random Forest with three different feature groups