Table 3 Parameters used in the classifiers.

From: Detection of Parkinson’s disease from EEG signals using discrete wavelet transform, different entropy measures, and machine learning techniques

Classifier

Parameters

SVM

Kernel = quadratic/linear, method = ’ least square’, C = 2e−1

KNN

No. of neighbors = 3, distance = ’euclidean’, rule = ’ nearest’

RF

Learner type = ‘decision tree’, ensemble = ‘bag’, no. of learners = ’30’

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