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weka.Winnow

weka.Winnow

Visibility: public Uploaded 22-12-2015 by Jan van Rijn Weka_3.7.13 46 runs
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  • Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.13
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N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318. N. Littlestone (1989). Mistake bounds and logarithmic linear-threshold learning algorithms. University of California, Santa Cruz.

Parameters

APromotion coefficient alpha. (default 2.0)default: 2.0
BDemotion coefficient beta. (default 0.5)default: 0.5
HPrediction threshold. (default -1.0 == number of attributes)default: -1.0
IThe number of iterations to be performed. (default 1)default: 1
LUse the baLanced version (default false)
SDefault random seed. (default 1)default: 1
WStarting weights. (default 2.0)default: 2.0

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