An example showing how the scikit-learn can be used to recognize images of hand-written digits. This example is commented in the

Plot the confidence ellipsoids of each class and decision boundary print(__doc__)

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

Shows how shrinkage improves classification.

A comparison of a several classifiers in scikit-learn on synthetic datasets. The point of this example is to illustrate the nature of decision boundaries of different