|
||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||
DecisionStumpLearner for each attribute is created and then the
performance average is calculated.DecisionStumpLearner, where a single
decision node is chosen according to the highest gain ratio.KNNLearner, where the k-value is by
default 1 except it is changed by the user.LandmarkingOperator and
the AbstractLandmarker.Operator learner takes the ExampleSet as input and
then its model is applied to the ExampleSet.
NaiveBayes learner.DecisionStumpLearner, where a single
decision node is chosen randomly.DecisionStumpLearner, where a single
decision node is chosen according to the smallest gain ratio.XValidation is applied on the Operator learner.
|
|
|||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||