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

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

The Iris dataset represents 3 kind of Iris flowers (Setosa, Versicolour and Virginica) with 4 attributes: sepal length, sepal width,

This data sets consists of 3 different types of irises? (Setosa, Versicolour, and Virginica) petal and sepal length, stored in a 150x4 numpy.ndarray The rows being the

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

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

A tutorial exercise which uses cross-validation with linear models. This exercise is used in the

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

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

Probabilistic PCA and Factor Analysis are probabilistic models. The consequence is that the likelihood of new data can be used