Weight by Information Gain
This operator calculates the relevance of the attributes based on the information gain.
This operator calculates the relevance of a feature by computing the information gain in class distribution, if exampleSet would be splitted after the feature.
- example set: expects: ExampleSet
- example set:
- normalize weights:
Activates the normalization of all weights.
Range: boolean; default: true