Illustration of the effect of different regularization strategies for Gradient Boosting. The example is taken from Hastie et al 2009. The loss function

This example is meant to illustrate situations where k-means will produce unintuitive and possibly unexpected clusters. In the first three plots, the input

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.

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

Fit Ridge and HuberRegressor on a dataset with outliers. The example shows that the predictions in ridge are strongly influenced

Due to the few points in each dimension and the straight line that linear regression uses to follow these points as well as it can, noise

An example to show covariance estimation with the Mahalanobis distances on Gaussian distributed data. For Gaussian distributed

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

When working with covariance estimation, the usual approach is to use a maximum likelihood estimator, such as the