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Experiment_yeast.cfg
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Experiment_yeast.cfg
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<experiment>
<process algorithm-type="eme.EnsembleAlgorithm">
<rand-gen-factory type="net.sf.jclec.util.random.RanecuFactory" seed="10"/>
<population-size>15</population-size>
<max-of-generations>10</max-of-generations>
<species type="net.sf.jclec.binarray.BinArrayIndividualSpecies" genotype-length="1"/>
<evaluator type="eme.EnsembleMLCEvaluator"/>
<provider type="eme.EnsembleMLCCreator"/>
<parents-selector type="net.sf.jclec.selector.TournamentSelector">
<tournament-size>2</tournament-size>
</parents-selector>
<recombinator type="eme.rec.UniformModelCrossover" rec-prob="0.8" />
<mutator type="eme.mut.IntraModelMutator" mut-prob="0.2" />
<number-classifiers>28</number-classifiers>
<number-labels-classifier>3</number-labels-classifier>
<prediction-threshold>0.5</prediction-threshold>
<validation-set>false</validation-set>
<use-coverage>true</use-coverage>
<dataset>
<train-dataset>data/yeast/yeast_train_1.arff</train-dataset>
<test-dataset>data/yeast/yeast_test_1.arff</test-dataset>
<xml>data/yeast/yeast.xml</xml>
</dataset>
<listener type="eme.EnsembleListener">
<report-dir-name>reports/EnsembleMLC</report-dir-name>
<global-report-name>summaryEnsembleMLC</global-report-name>
<report-frequency>1</report-frequency>
</listener>
</process>
</experiment>