The sklearn's documentation of the method
roc_auc_score states that the parameter
multi_class can take the value
'OvR' (which stands for One-vs-Rest) or
'OvO' (which stands for One-vs-One). These values are only applicable for multi-class classification problems.
Does anyone know in what particular cases we would use OvR as opposed to OvO? In the general academic literature, is there a preference given to one?