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