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

This example uses the only the first feature of the diabetes dataset, in order to illustrate a two-dimensional plot of this regression technique. The

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

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

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

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

Transform your features into a higher dimensional, sparse space. Then train a linear model on these features. First fit an ensemble of

This example illustrates the predicted probability of GPC for an RBF kernel with different choices of the hyperparameters

This example illustrates the prior and posterior of a GPR with different kernels. Mean, standard deviation, and 10

Show below is a logistic-regression classifiers decision boundaries on the