Ensemble methods

Examples concerning the sklearn.ensemble module.

Categorical Feature Support in Gradient Boosting

Categorical Feature Support in Gradient Boosting

Combine predictors using stacking

Combine predictors using stacking

Comparing random forests and the multi-output meta estimator

Comparing random forests and the multi-output meta estimator

Decision Tree Regression with AdaBoost

Decision Tree Regression with AdaBoost

Discrete versus Real AdaBoost

Discrete versus Real AdaBoost

Early stopping of Gradient Boosting

Early stopping of Gradient Boosting

Feature importances with a forest of trees

Feature importances with a forest of trees

Feature transformations with ensembles of trees

Feature transformations with ensembles of trees

Gradient Boosting Out-of-Bag estimates

Gradient Boosting Out-of-Bag estimates

Gradient Boosting regression

Gradient Boosting regression

Gradient Boosting regularization

Gradient Boosting regularization

Hashing feature transformation using Totally Random Trees

Hashing feature transformation using Totally Random Trees

IsolationForest example

IsolationForest example

Monotonic Constraints

Monotonic Constraints

Multi-class AdaBoosted Decision Trees

Multi-class AdaBoosted Decision Trees

OOB Errors for Random Forests

OOB Errors for Random Forests

Pixel importances with a parallel forest of trees

Pixel importances with a parallel forest of trees

Plot class probabilities calculated by the VotingClassifier

Plot class probabilities calculated by the VotingClassifier

Plot individual and voting regression predictions

Plot individual and voting regression predictions

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

Two-class AdaBoost

Two-class AdaBoost