|  | ## Weight by Information Gain Ratio

#### Synopsis

This operator calculates the relevance of the attributes based on the information gain ratio.

#### Description

This operator calculates the relevance of a feature by computing the information gain ratio for the class distribution (if exampleSet would have been splitted according to each of the given features).

#### Input

- example set: expects: ExampleSet

#### Output

- weights:
- example set:

#### Parameters

- normalize weights: Activates the normalization of all weights.

#### ExampleProcess