This examples shows how a classifier is optimized by cross-validation, which is done using the

This example demonstrates the power of semisupervised learning by training a Label Spreading model to classify handwritten digits with sets

Use the Akaike information criterion (AIC), the Bayes Information criterion (BIC) and cross-validation to select an optimal value of the regularization

A two-dimensional classification example showing iso-probability lines for the predicted probabilities.

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

Compute the segmentation of a 2D image with Ward hierarchical clustering. The clustering is spatially constrained in

This is an example showing how the scikit-learn can be used to cluster documents by topics using a bag-of-words approach. This example uses a scipy.sparse

Comparison of the sparsity (percentage of zero coefficients) of solutions when L1 and L2 penalty are used for different values of C. We can see

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