Computation times¶
02:25.874 total execution time for auto_examples_ensemble files:
Early stopping of Gradient Boosting ( |
00:48.755 |
0.0 MB |
Gradient Boosting regularization ( |
00:22.898 |
0.0 MB |
OOB Errors for Random Forests ( |
00:17.217 |
0.0 MB |
Combine predictors using stacking ( |
00:13.267 |
0.0 MB |
Multi-class AdaBoosted Decision Trees ( |
00:11.988 |
0.0 MB |
Plot the decision surfaces of ensembles of trees on the iris dataset ( |
00:05.482 |
0.0 MB |
Discrete versus Real AdaBoost ( |
00:04.225 |
0.0 MB |
Two-class AdaBoost ( |
00:03.687 |
0.0 MB |
Monotonic Constraints ( |
00:03.141 |
0.0 MB |
Gradient Boosting Out-of-Bag estimates ( |
00:02.990 |
0.0 MB |
Gradient Boosting regression ( |
00:02.332 |
0.0 MB |
Feature transformations with ensembles of trees ( |
00:02.284 |
0.0 MB |
Pixel importances with a parallel forest of trees ( |
00:01.483 |
0.0 MB |
Single estimator versus bagging: bias-variance decomposition ( |
00:01.146 |
0.0 MB |
Plot individual and voting regression predictions ( |
00:00.901 |
0.0 MB |
Prediction Intervals for Gradient Boosting Regression ( |
00:00.721 |
0.0 MB |
Comparing random forests and the multi-output meta estimator ( |
00:00.617 |
0.0 MB |
IsolationForest example ( |
00:00.539 |
0.0 MB |
Hashing feature transformation using Totally Random Trees ( |
00:00.498 |
0.0 MB |
Feature importances with forests of trees ( |
00:00.470 |
0.0 MB |
Plot the decision boundaries of a VotingClassifier ( |
00:00.444 |
0.0 MB |
Decision Tree Regression with AdaBoost ( |
00:00.408 |
0.0 MB |
Plot class probabilities calculated by the VotingClassifier ( |
00:00.381 |
0.0 MB |