Operator PredictionWithDecisionTree

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.

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 PredictionWithDecisionTree is loopable!