This example shows how to perform univariate feature selection before running a SVC (support vector classifier) to improve the classification

A recursive feature elimination example with automatic tuning of the number of features selected with cross-validation.

Transform a signal as a sparse combination of Ricker wavelets. This example visually compares different sparse coding methods using the

This example compares non-nested and nested cross-validation strategies on a classifier of the iris data set. Nested cross-validation (CV) is often

In order to test if a classification score is significative a technique in repeating the classification procedure after randomizing

This example demonstrates the Spectral Co-clustering algorithm on the twenty newsgroups dataset. The ?comp.os.ms-windows.misc

In this plot you can see the training scores and validation scores of an SVM for different values of the kernel parameter gamma. For very low values of gamma, you

Shows how shrinkage improves classification.

This example demonstrates how to generate a dataset and bicluster it using the Spectral Co-Clustering algorithm. The dataset is generated

A tutorial exercise regarding the use of classification techniques on the Digits dataset. This exercise is used in the