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Table 7 Hyperparameter options for each model

From: Machine learning classification of multiple sclerosis patients based on raw data from an instrumented walkway

Algorithms

Hyperparameter options

LR

'solver': ['newton-cg','lbfgs', 'liblinear'],

'penalty': ['l1', 'l2', 'elasticnet'],

'C': [1000, 100, 10, 1.0, 0.1, 0.01]

SVM

'kernel': ['poly', 'rbf', 'sigmoid'],

'C': [5, 3, 1.0, 0.5, 0.1],

'degree': [3–5]

XGB

'max_depth': [2, 3],

'eta': [0.3, 0.4],

'objective': ['binary:logistic', 'binary:logitraw', 'binary:hinge']