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