Python Machine Learning

Bootstrap Aggregation

Bagging technique

Bootstrap Aggregation

Bootstrap Aggregation (bagging) is a general purpose procedure for reducing the variance of a statistical learning method.

Bootstrap Aggregation Example

from sklearn.ensemble import BaggingClassifier
from sklearn import tree

model = BaggingClassifier(tree.DecisionTreeClassifier(random_state=1))
model.fit(x_train, y_train)
model.score(x_test, y_test)