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Fig. 4 | BioMedical Engineering OnLine

Fig. 4

From: Classification of Parkinson’s disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samples

Fig. 4

Classification performances between different classification algorithms using the “Test_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]

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