DOC mention default base_estimator of AdaBoost
@@ -308,10 +308,11 @@ class AdaBoostClassifier(BaseWeightBoosting, ClassifierMixin):
Parameters
----------
- base_estimator : object, optional (default=DecisionTreeClassifier)
+ base_estimator : object, optional (default=None)
The base estimator from which the boosted ensemble is built.
- Support for sample weighting is required, as well as proper `classes_`
- and `n_classes_` attributes.
+ Support for sample weighting is required, as well as proper
+ ``classes_`` and ``n_classes_`` attributes. If ``None``, then
+ the base estimator is ``DecisionTreeClassifier(max_depth=1)``
n_estimators : integer, optional (default=50)
The maximum number of estimators at which boosting is terminated.
@@ -863,9 +864,10 @@ class AdaBoostRegressor(BaseWeightBoosting, RegressorMixin):
Parameters
----------
- base_estimator : object, optional (default=DecisionTreeRegressor)
+ base_estimator : object, optional (default=None)
The base estimator from which the boosted ensemble is built.
- Support for sample weighting is required.
+ Support for sample weighting is required. If ``None``, then
+ the base estimator is ``DecisionTreeRegressor(max_depth=3)``
n_estimators : integer, optional (default=50)
The maximum number of estimators at which boosting is terminated.
