A Feature Selection operator.This operator uses a genetic algorithm to select
a subset of TheAttributes. It calls C4.5 to evaluate the individuals
of the genetic population. TheTargetAttribute specifies which attribute
is the target attribute for the learning algorithm whose performance is used
to select the best feature subset. PopDim gives the size of the population
for the genetic algorithm. StepNum gives the number of generations. The
probabilities of mutation and crossover are specified with ProbMut and
ProbCross.
ParameterName | ObjType | Type | Remarks |
TheInputConcept | CON | IN | inherited |
TheAttributes | BA list | IN | |
SampleSize | V | IN | positive integer |
PopDim | V | IN | positive integer; try 30 |
StepNum | V | IN | positive integer; try 20 |
ProbMut | V | IN | real between 0 and 1; try 0.001 |
ProbCross | V | IN | real between 0 and 1; try 0.9 |
TheOutputConcept | CON | OUT | inherited |