Table 4. Hyperparameters in grid-search model selection.

Hyperparameter	Values
Penalty of error term C	1e{−3, −2, …, 2,3}
Loss function	Hinge, squared hinge
Penalty: norm used in penalisation	‘l1’ (‘least absolute deviations’) or ‘l2’ (‘least squares’)
Class weight (sets penalty C of class i to weight*C)	None or ‘balanced’, i.e. weight inversely proportional to class frequencies