Plot the classification probability for different classifiers. We use a 3 class dataset, and we classify it with a Support Vector classifier, L1 and L2 penalized

Well calibrated classifiers are probabilistic classifiers for which the output of the predict_proba method can be directly interpreted as a confidence

A comparison of different values for regularization parameter ?alpha? on synthetic datasets. The plot shows that different alphas yield different

Plot the confidence ellipsoids of a mixture of two Gaussians obtained with Expectation Maximisation (GaussianMixture class) and Variational Inference

This example illustrates the need for robust covariance estimation on a real data set. It is useful both for outlier detection and for a better understanding

This example applies to The Olivetti faces dataset different unsupervised matrix decomposition (dimension reduction) methods from

The multi-task lasso allows to fit multiple regression problems jointly enforcing the selected features to be the same across tasks. This example

This example demonstrates how to generate a checkerboard dataset and bicluster it using the Spectral Biclustering algorithm. The data is

Demonstrate how model complexity influences both prediction accuracy and computational performance. The dataset is the Boston Housing dataset (resp. 20 Newsgroups)

An illustration of various embeddings on the digits dataset. The RandomTreesEmbedding, from the