Independent clinical evaluation
PD
In our study, the entire dataset had 164 recordings (PD: 84, ET: 80), in which 80% of the recordings were used for training, whereas the remaining 20% were used for independent testing. The selected final weighted average ensemble classification model (SVM with FG III) was evaluated on these 20% recordings (13 ET, 20 PD). The test data performance of the Weight Average Ensemble Classification Model was as follows: accuracy: 75.8%, kappa: 0.492, sensitivity: 80%, specificity: 69.2%, and AUC: 0.823.