Gallery examples: Statistical comparison of models using grid search Post-hoc tuning the cut-off point of decision function Overview of multiclass training meta-estimators| scikit-learn
Gallery examples: FeatureHasher and DictVectorizer Comparison| scikit-learn
Gallery examples: Scalable learning with polynomial kernel approximation Compare the effect of different scalers on data with outliers Clustering text documents using k-means| scikit-learn
Gallery examples: Hashing feature transformation using Totally Random Trees Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Clustering text documents using k-means| scikit-learn
Gallery examples: Common pitfalls in the interpretation of coefficients of linear models| scikit-learn
Gallery examples: Column Transformer with Heterogeneous Data Sources FeatureHasher and DictVectorizer Comparison| scikit-learn
Gallery examples: Recursive feature elimination with cross-validation GMM covariances Visualizing cross-validation behavior in scikit-learn Test with permutations the significance of a classificati...| scikit-learn
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 1.5 Release Highlights for scikit-learn 1.4 Release Highlights for scikit-learn 1.2 Release Highlights for scikit-learn 1.1 Release Highlights ...| scikit-learn
Encode target labels with value between 0 and n_classes-1.| scikit-learn