Gallery examples: Feature agglomeration vs. univariate selection Comparing Random Forests and Histogram Gradient Boosting models Gradient Boosting Out-of-Bag estimates Visualizing cross-validation ...| scikit-learn
Gallery examples: Release Highlights for scikit-learn 1.4 Visualizing cross-validation behavior in scikit-learn| scikit-learn
Gallery examples: Release Highlights for scikit-learn 1.4 Release Highlights for scikit-learn 0.24 Feature agglomeration vs. univariate selection Shrinkage covariance estimation: LedoitWolf vs OAS ...| scikit-learn
Gallery examples: Release Highlights for scikit-learn 1.3 Model selection with Probabilistic PCA and Factor Analysis (FA) Lagged features for time series forecasting Imputing missing values before ...| scikit-learn
Learning the parameters of a prediction function and testing it on the same data is a methodological mistake: a model that would just repeat the labels of the samples that it has just seen would ha...| scikit-learn