Operator MissingValueWithDecisionTree

A Missing value operator. Each missing value (NULL value) in TheTargetAttribute is replaced by a predicted value. For prediction, a Decision Tree is learned from ThePredictingAttributes, which 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 MissingValueWithDecisionTree is loopable!