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SMBO.mlr.classif.J48.imputed.preproc.tuned

SMBO.mlr.classif.J48.imputed.preproc.tuned

Visibility: public Uploaded 05-05-2017 by Rafael Gomes Mantovani R_3.3.2, OpenML_1.1, mlr_2.12, RWeka_0.4.31, mlrMBO_1.0 0 runs
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Learner mlr.classif.J48 from package RWeka optimized by a Sequential Model-based Optimization technique from package mlrMBO.

Parameters

budgetMaximum budget size
fitnessFitness function
infill.criteriaInfill criteria
init.designInitial design method
inner.resamplingInner resampling methodology for fitness calculation
n.pointsNumber of points in the initial design
openml.kinddefault: Mersenne-Twister
openml.normal.kinddefault: Inversion
openml.seeddefault: 1
output-debug-info
surrogate.modelSurrogate model

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