This example illustrates how sigmoid calibration changes predicted probabilities for a 3-class classification problem. Illustrated is the

A tutorial exercise for using different SVM kernels. This exercise is used in the

Features 1 and 2 of the diabetes-dataset are fitted and plotted below. It illustrates that although feature 2 has a strong coefficient on the

This example illustrates visually in the feature space a comparison by results using two different component analysis techniques.

Plot the density estimation of a mixture of two Gaussians. Data is generated from two Gaussians with different centers and covariance matrices.

This example shows the use of multi-output estimator to complete images. The goal is to predict the lower half of a face given its upper half

In many real-world examples, there are many ways to extract features from a dataset. Often it is beneficial to combine several methods to obtain

This example shows how to use cross_val_predict to visualize prediction errors.

In this example, an image with connected circles is generated and spectral clustering is used to separate the circles. In these settings, the

On the left side the learning curve of a naive Bayes classifier is shown for the digits dataset. Note that the training score and the cross-validation score are both