Fig. 3From: Classification of Parkinson’s disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samplesClassification performances between different classification algorithms using the “Training_Data” set. The y-axis: classification accuracy; DNNE_MENN and RF_MENN: reflect the proposed PD_MEdit_EL algorithm; SVM_Linear: SVM with the linear kernel function; SVM_RBF: SVM with radial basis function kernel; Method in [27]: classification algorithm from Ref. [27]Back to article page