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weka.RotationForest

weka.RotationForest

Visibility: public Uploaded 15-04-2018 by Bart Haak Weka_3.8.2 22 runs
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Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630. URL http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.211.

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
-doNotMakeSplitPointActualValueDo not make split point actual value.
ALaplace smoothing for predicted probabilities.
BUse binary splits only.
CSet confidence threshold for pruning. (default 0.25)
FFull class name of filter to use, followed by filter options. eg: "weka.filters.unsupervised.attribute.PrincipalComponents-R 1.0"default: weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1
GMinimum size of a group of attributes: if numberOfGroups is true, the minimum number of groups. (default: 3)default: 3
HMaximum size of a group of attributes: if numberOfGroups is true, the maximum number of groups. (default: 3)default: 3
INumber of iterations. (current value 10)default: 10
JDo not use MDL correction for info gain on numeric attributes.
LDo not clean up after the tree has been built.
MSet minimum number of instances per leaf. (default 2)
NWhether minGroup (-G) and maxGroup (-H) refer to the number of groups or their size. (default: false)
ODo not collapse tree.
PPercentage of instances to be removed. (default: 50)default: 50
QSeed for random data shuffling (default 1).
RUse reduced error pruning.
SRandom number seed. (default 1)default: 1
UUse unpruned tree.
WFull name of base classifier. (default: weka.classifiers.trees.J48)default: weka.classifiers.trees.J48
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).
num-slotsNumber of execution slots. (default 1 - i.e. no parallelism) (use 0 to auto-detect number of cores)default: 1
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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