|  | ## Classification by Regression

#### Synopsis

This operator chain must contain a regression learner and allows to learn classifications tasks with more than two classes.

#### Description

For a classified dataset (with possibly more than two classes) builds a classifier using a regression method which is specified by the inner operator. For each class i a regression model is trained after setting the label to +1 if the label equals i and to -1 if it is not. Then the regression models are combined into a classification model. In order to determine the prediction for an unlabeled example, all models are applied and the class belonging to the regression model which predicts the greatest value is chosen.

#### Input

- training set: expects: ExampleSet

#### Output

- model:
- example set:

#### Parameters

#### ExampleProcess