|  | ## Weight by Rule

#### Synopsis

This operator measures the relevance of features by constructing a single rule for each attribute and calculating the errors.

#### Description

This operator calculates the relevance of a feature by computing the error rate of a OneR Model on the exampleSet without this feature.

#### Input

- example set: expects: ExampleSet

#### Output

- weights:
- example set:

#### Parameters

- normalize weights: Activates the normalization of all weights.

#### ExampleProcess