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The proposed method performed an accuracy of 96.88 %, a precision of 100 %, a recall of 95 % and a F score of 97.44 % respectively for identifying PD and HC. The classification results showed that the proposed model achieved a superior performance in comparison with traditional ensemble models. The stacking ensemble model with efficiently and effectively integrate multiple base classifiers performed higher accuracy than each single traditional model. The method developed in this study provided a novel strategy to enhance the accuracy of
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