These images how similar features are merged together using feature agglomeration.

A decision tree is boosted using the AdaBoost.R2 [1] algorithm on a 1D sinusoidal dataset with a small amount of Gaussian noise. 299 boosts (300 decision

This example uses the

Plot decision surface of multi-class SGD on iris dataset. The hyperplanes corresponding to the three one-versus-all (OVA) classifiers are represented

Shows how to use a function transformer in a pipeline. If you know your dataset?s first principle component is irrelevant for a classification task

The following plots demonstrate the impact of the number of clusters and number of samples on various clustering performance evaluation

Plot decision surface of multinomial and One-vs-Rest Logistic Regression. The hyperplanes corresponding to the three One-vs-Rest (OVR) classifiers

Computes a Theil-Sen Regression on a synthetic dataset. See

Example of Receiver Operating Characteristic (ROC) metric to evaluate classifier output quality. ROC curves typically feature true positive rate

Given a small number of observations, we want to recover which features of X are relevant to explain y. For this