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weka.REPTree

weka.REPTree

Visibility: public Uploaded 30-03-2017 by Daan Dinkla Weka_3.8.1 6 runs
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  • Verified_Supervised_Classification weka weka_3.8.1
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Weka implementation of REPTree

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
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
batch-sizeThe desired batch size for batch prediction (default 100).
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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