<P> A Feature Construction operator. A Decision Tree is learned using <I>ThePredictingAttributes</I> 
  as learning attributes and <I>TheTargetAttribute</I> as label. <I>TheOutputAttribute</I> 
  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 <I>ThePredictingAttributes</I> must belong 
  to <I>TheInputConcept</I>. The pruning confidence level is given in <I>PruningConf</I> 
  as a percentage. <BR>
  <BR>
<P>
PARAMETERDESCRIPTION
TheInputConcept:inherited
TheTargetAttribute:inherited
ThePredictingAttributes:&nbsp;
SampleSize:positive integer
PruningConf:between 0 and 100
TheOutputAttribute:inherited
