DOC specify default of error_score in cross_validate
@@ -146,7 +146,7 @@ def cross_validate(estimator, X, y=None, *, groups=None, scoring=None, cv=None,
.. versionadded:: 0.20
- error_score : 'raise' or numeric
+ error_score : 'raise' or numeric, default=np.nan
Value to assign to the score if an error occurs in estimator fitting.
If set to 'raise', the error is raised.
If a numeric value is given, FitFailedWarning is raised. This parameter
