Fig. 6From: Classification of Parkinson’s disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samplesClassification accuracy of different algorithms for the “Test_Data” set. The y-axis: classification accuracy; the x-axis: the number of runs for each algorithm; 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 kernelBack to article page