Plot decision function of a weighted dataset, where the size of points is proportional to its weight. The sample weighting rescales the C parameter, which means

Comparison for decision boundary generated on iris dataset between Label Propagation and SVM. This demonstrates

Out-of-bag (OOB) estimates can be a useful heuristic to estimate the ?optimal? number of boosting iterations. OOB estimates are almost identical to cross-validation

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

RandomTreesEmbedding provides a way to map data to a very high-dimensional, sparse representation, which might be beneficial for classification

This examples shows the use of forests of trees to evaluate the importance of features on an artificial classification task. The red bars are the feature

An example using a one-class SVM for novelty detection.

Silhouette analysis can be used to study the separation distance between the resulting clusters. The silhouette

Incremental principal component analysis (IPCA) is typically used as a replacement for principal component analysis (PCA) when the dataset to be decomposed is too large to fit

Compares FeatureHasher and DictVectorizer by using both to vectorize text documents. The example demonstrates syntax and speed only; it doesn