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mlr.classif.rpart.tuned

mlr.classif.rpart.tuned

Visibility: public Uploaded 06-10-2018 by Giuseppe Casalicchio R_3.5.1, OpenML_1.9, mlr_2.12.1, rpart_4.1.13 4 runs
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Learner mlr.classif.rpart.tuned from package(s) rpart.

Parameters

cp
maxcompete
maxdepth
maxsurrogate
minbucket
minsplit
openml.kinddefault: Mersenne-Twister
openml.normal.kinddefault: Inversion
openml.seeddefault: 1
parms
surrogatestyle
usesurrogate
xval

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