Operator PredictionWithDecisionRules

A Feature Construction operator. Decision rules are learned using ThePredictingAttributes as learning attributes and TheTargetAttribute as label. TheOutputAttribute contains the labels that the decision rules predict. The operator may be used to compare predicted and actual values, or in combination with the operator AssignPredictedValueCategorial. All ThePredictingAttributes must belong to TheInputConcept. The pruning confidence level is given in PruningConf as a percentage.

### Parameter

Parameter | Object | Type | optional | min_arg | max_arg | looped | Remarks
TheInputConcept | Concept | Input | no | 1 | 1 | no | inherited
TheTargetAttribute | BaseAttribute | Input | no | 1 | 1 | yes | inherited
ThePredictingAttributes | BaseAttribute | Input | no | 1 |  | yes |
SampleSize | Value | Input | no | 1 | 1 | yes | positive integer
TheOutputAttribute | BaseAttribute | Output | no | 1 | 1 | yes | inherited
PruningConf | Value | Input | no | 1 | 1 | yes | between 0 and 100

The Operator PredictionWithDecisionRules is loopable!