DOC Fix return docstring cross_val_predict
@@ -790,8 +790,8 @@ def cross_val_predict(estimator, X, y=None, *, groups=None, cv=None,
'decision_function' and the target is binary: (n_samples,)
- When `method` is one of {'predict_proba', 'predict_log_proba',
'decision_function'} (unless special case above):
- (n_samples, n_classes).
- - If `estimator` is :term:`multioutput`, a third dimension
+ (n_samples, n_classes)
+ - If `estimator` is :term:`multioutput`, an extra dimension
'n_outputs' is added to the end of each shape above.
See also
