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

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

This example fits an AdaBoosted decision stump on a non-linearly separable classification dataset composed of two ?Gaussian quantiles? clusters (see

Plot the maximum margin separating hyperplane within a two-class separable dataset using a linear Support Vector Machines classifier trained using SGD

An illustration of the metric and non-metric MDS on generated noisy data. The reconstructed points using the metric MDS and non metric MDS are slightly shifted

This example shows the effect of imposing a connectivity graph to capture local structure in the data. The graph is simply the graph of 20

This example reproduces Figure 1 of Zhu et al [1] and shows how boosting can improve prediction accuracy on a multi-class problem. The classification dataset

Modeling species? geographic distributions is an important problem in conservation biology. In this example we model the geographic distribution of two south american

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

When performing classification you often want to predict not only the class label, but also the associated probability. This probability gives you some