![]() |
![]() |
![]() |
![]() | ![]() |
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 | 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!