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
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
Gallery examples: Feature agglomeration vs. univariate selection Column Transformer with Mixed Types Selecting dimensionality reduction with Pipeline and GridSearchCV Pipelining: chaining a PCA and...| scikit-learn