A Feature Construction operator. A Decision Tree is learned using ThePredictingAttributes
as learning attributes and TheTargetAttribute as label. TheOutputAttribute
contains the labels that the decision tree predicts. 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.
| ParameterName | ObjType | Type | Remarks |
| TheInputConcept | CON | IN | inherited |
| TheTargetAttribute | BA | IN | inherited |
| ThePredictingAttributes | BA List | IN | |
| SampleSize | V | IN | positive integer |
| PruningConf | V | IN | between 0 and 100 |
| TheOutputAttribute | BA | OUT | inherited |