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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.
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