|  | ## Single Rule Induction (Single Attribute)

#### Synopsis

Learns a single rule using only one attribute.

#### Description

This operator concentrates on one single attribute and determines the best splitting terms for minimizing the training error. The result will be a single rule containing all these terms.

#### Input

- training set: expects: ExampleSet

#### Output

- model:
- exampleSet:

#### Parameters

#### ExampleProcess