Ensemble methods#
Examples concerning the sklearn.ensemble
module.
Comparing Random Forests and Histogram Gradient Boosting models
Comparing Random Forests and Histogram Gradient Boosting models
Comparing random forests and the multi-output meta estimator
Comparing random forests and the multi-output meta estimator
Hashing feature transformation using Totally Random Trees
Hashing feature transformation using Totally Random Trees
Plot class probabilities calculated by the VotingClassifier
Plot class probabilities calculated by the VotingClassifier
Plot the decision boundaries of a VotingClassifier
Plot the decision boundaries of a VotingClassifier
Plot the decision surfaces of ensembles of trees on the iris dataset
Plot the decision surfaces of ensembles of trees on the iris dataset
Prediction Intervals for Gradient Boosting Regression
Prediction Intervals for Gradient Boosting Regression
Single estimator versus bagging: bias-variance decomposition
Single estimator versus bagging: bias-variance decomposition