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weka.MultiBoostAB_NaiveBayes

Visibility: public Uploaded 03-07-2017 by Mccormick Weka_3.8.1 0 runs
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Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).

Components

Full name of base classifier. (default: weka.classifiers.trees.DecisionStump)

-do-not-check-capabilities	If set, classifier capabilities are not checked before classifier is built (use with caution).
C	Number of sub-committees. (Default 3)	default: 3
I	Number of iterations. (current value 10)	default: 10
P	Percentage of weight mass to base training on. (default 100, reduce to around 90 speed up)	default: 100
Q	Use resampling for boosting.
S	Random number seed. (default 1)	default: 1
W	Full name of base classifier. (default: weka.classifiers.trees.DecisionStump)	default: weka.classifiers.bayes.NaiveBayes
batch-size	The desired batch size for batch prediction (default 100).
num-decimal-places	The number of decimal places for the output of numbers in the model (default 2).
output-debug-info	If set, classifier is run in debug mode and may output additional info to the console

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