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weka.CVParameterSelection_RandomForest

weka.CVParameterSelection_RandomForest

Visibility: public Uploaded 11-04-2017 by Wouter Nuijten Weka_3.8.1 2 runs
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  • Verified_Supervised_Classification weka weka_3.8.1
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R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.

Components

Wweka.RandomForest(12)Full name of base classifier. (default: weka.classifiers.rules.ZeroR)

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
PClassifier parameter options. eg: "N 1 5 10" Sets an optimisation parameter for the classifier with name -N, with lower bound 1, upper bound 5, and 10 optimisation steps. The upper bound may be the character 'A' or 'I' to substitute the number of attributes or instances in the training data, respectively. This parameter may be supplied more than once to optimise over several classifier options simultaneously.
SRandom number seed. (default 1)default: 1
WFull name of base classifier. (default: weka.classifiers.rules.ZeroR)default: weka.classifiers.trees.RandomForest
XNumber of folds used for cross validation (default 10).default: 10
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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