This is documentation for an old release of Scikit-learn (version 1.3). Try the latest stable release (version 1.6) or development (unstable) versions.
Ensemble methods¶
Examples concerning the sklearn.ensemble
module.
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Comparing Random Forests and Histogram Gradient Boosting models
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Comparing random forests and the multi-output meta estimator
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Hashing feature transformation using Totally Random Trees
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Plot class probabilities calculated by the VotingClassifier
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Plot the decision boundaries of a VotingClassifier
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Plot the decision surfaces of ensembles of trees on the iris dataset
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Prediction Intervals for Gradient Boosting Regression
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Single estimator versus bagging: bias-variance decomposition