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. Author manuscript; available in PMC: 2021 Oct 20.
Published in final edited form as: J Neurosci Methods. 2021 Jul 6;361:109282. doi: 10.1016/j.jneumeth.2021.109282

Table 2.

Hyperparameter search space and search method for the six classifiers

Classifier Search method Hyperparameter Space
KNN Grid search Number of neighbors [6, 8, 10, 12, 14, 16, 18, 20]
SVM-L Grid search Soft margin constant [1, 10, 100]
SPM-P1 Grid search Soft margin constant [1, 10, 100]
SPM-P2 Grid search Soft margin constant [1, 10, 100]
SPM-RBF Grid search Soft margin constant [1, 10, 100]
RBF kernel parameter gamma [0.001, 0.01, 0.1, 1]
RF Random search Number of trees [5, 6, 7, …, 200]
Max depth of each tree [5, 6, 7, …, 50]
Min number of samples required to split a node [2, 3, 4, …, 20]
Min number of samples required in the leaf node [1, 2, 3, …, 10]