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weka.Vote_RandomForest

weka.Vote_RandomForest

Visibility: public Uploaded 11-04-2017 by Wouter Nuijten Weka_3.8.1 3 runs
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  • Verified_Supervised_Classification weka weka_3.8.1
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Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.

Components

Bweka.RandomForest(12)Full class name of classifier to include, followed by scheme options. May be specified multiple times. (default: "weka.classifiers.rules.ZeroR")

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
BFull class name of classifier to include, followed by scheme options. May be specified multiple times. (default: "weka.classifiers.rules.ZeroR")default: weka.classifiers.trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1
PFull path to serialized classifier to include. May be specified multiple times to include multiple serialized classifiers. Note: it does not make sense to use pre-built classifiers in a cross-validation.
RThe combination rule to use (default: AVG)default: AVG
SRandom number seed. (default 1)default: 1
batch-sizeThe desired batch size for batch prediction (default 100).
do-not-printSuppress the printing of the individual models in the output
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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