You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
At the moment this function (and the cross-validation version) has an attribute called min_spread of type boolean. When True, the optimization selects, among the equally good-performing, the criterion that minimizes the difference between precision and recall; when False, it selects the minimum value of the criterion.
It could be interesting to change this attribute to a new attribute named prioritize:
min: it would select the minimum value of the criterion.
max: it would select the maximum value of the criterion.
min_spread: it would select the minimum difference between precision and recall.
The text was updated successfully, but these errors were encountered:
At the moment this function (and the cross-validation version) has an attribute called min_spread of type boolean. When True, the optimization selects, among the equally good-performing, the criterion that minimizes the difference between precision and recall; when False, it selects the minimum value of the criterion.
It could be interesting to change this attribute to a new attribute named prioritize:
The text was updated successfully, but these errors were encountered: