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weka.WrapperSubsetEval_ZeroR

weka.WrapperSubsetEval_ZeroR

Visibility: public Uploaded 03-12-2015 by Bingchen Li Weka_3.7.13 0 runs
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Ron Kohavi, George H. John (1997). Wrappers for feature subset selection. Artificial Intelligence. 97(1-2):273-324.

Components

Bweka.ZeroR(9)class name of base learner to use for accuracy estimation. Place any classifier options LAST on the command line following a "--". eg.: -B weka.classifiers.bayes.NaiveBayes ... -- -K (default: weka.classifiers.rules.ZeroR)

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
Bclass name of base learner to use for accuracy estimation. Place any classifier options LAST on the command line following a "--". eg.: -B weka.classifiers.bayes.NaiveBayes ... -- -K (default: weka.classifiers.rules.ZeroR)default: weka.classifiers.rules.ZeroR
EPerformance evaluation measure to use for selecting attributes. (Default = default: accuracy for discrete class and rmse for numeric class)default: DEFAULT
Fnumber of cross validation folds to use for estimating accuracy. (default=5)default: 5
IRclassOptional class value (label or 1-based index) to use in conjunction with IR statistics (f-meas, auc or auprc). Omitting this option will use the class-weighted average.
RSeed for cross validation accuracy testimation. (default = 1)default: 1
Tthreshold by which to execute another cross validation (standard deviation---expressed as a percentage of the mean). (default: 0.01 (1%))default: 0.01
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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