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: