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weka.REPTree

weka.REPTree

Visibility: public Uploaded 04-04-2014 by Jan van Rijn Weka_3.7.10 932 runs
0 likes downloaded by 11 people 0 issues 0 downvotes , 11 total downloads
  • Verified_Learning_Curve,Verified_Supervised_Classification study_305 study_306 study_431 study_432 study_433 study_434 study_435 study_436
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Weka implementation of REPTree

Parameters

IInitial class value count (default 0)default: 0.0
LMaximum tree depth (default -1, no maximum)default: -1
MSet minimum number of instances per leaf (default 2).default: 2
NNumber of folds for reduced error pruning (default 3).default: 3
PNo pruning.
RSpread initial count over all class values (i.e. don't use 1 per value)
SSeed for random data shuffling (default 1).default: 1
VSet minimum numeric class variance proportion of train variance for split (default 1e-3).default: 0.001

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