This is documentation for an old release of Scikit-learn (version 1.4). Try the latest stable release (version 1.6) or development (unstable) versions.

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23:23.043 total execution time for 291 files from all galleries:

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Example	Time	Mem (MB)
Release Highlights for scikit-learn 0.24 (`../examples/release_highlights/plot_release_highlights_0_24_0.py`)	01:14.695	0.0
Evaluation of outlier detection estimators (`../examples/miscellaneous/plot_outlier_detection_bench.py`)	01:00.523	0.0
Early stopping of Stochastic Gradient Descent (`../examples/linear_model/plot_sgd_early_stopping.py`)	00:59.197	0.0
Comparing Random Forests and Histogram Gradient Boosting models (`../examples/ensemble/plot_forest_hist_grad_boosting_comparison.py`)	00:54.562	0.0
Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) (`../examples/gaussian_process/plot_gpr_co2.py`)	00:45.839	0.0
Release Highlights for scikit-learn 1.2 (`../examples/release_highlights/plot_release_highlights_1_2_0.py`)	00:44.704	0.0
Model-based and sequential feature selection (`../examples/feature_selection/plot_select_from_model_diabetes.py`)	00:44.292	0.0
Selecting dimensionality reduction with Pipeline and GridSearchCV (`../examples/compose/plot_compare_reduction.py`)	00:43.483	0.0
Comparing Target Encoder with Other Encoders (`../examples/preprocessing/plot_target_encoder.py`)	00:32.789	0.0
Combine predictors using stacking (`../examples/ensemble/plot_stack_predictors.py`)	00:29.296	0.0

Showing 1 to 10 of 291 entries