TABLE VIII.
classification performance (accuracy and AUC) of the SVM in classifying clinical assessment scores (RBANS and TUG) discretized using equal frequency binning. We train SVM using statistical activity features from all activities.
Score Type | Measure | Change | ACF | Skewness | Kurtosis | Variance | All features |
---|---|---|---|---|---|---|---|
RBANS | Accuracy | 26.92 | 57.69 | 73.07 | 57.69 | 63.46 | 71.75 |
AUC | 0.27 | 0.58 | 0.73 | 0.58 | 0.63 | 0.71 | |
TUG | Accuracy | 66.00 | 42.00 | 46.00 | 62.00 | 62.00 | 76.00 |
AUC | 0.65 | 0.39 | 0.44 | 0.60 | 0.62 | 0.75 |