weka - how to run J48 with with different amount of attributes -

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rank attributes based on oner performance – click on “select attributes” tab. select method “oner attribute evaluator”. list attributes in ranked order. run decision tree (j48 in weka) 1 attribute (the best attribute), first two, 3 , on… list accuracy (f-measure) corresponding each case.

your question looks little homework, i'll try answer general parts can apply rest yourself.

you need use attributeselectedclassifier classifier, in meta section of classifiers. allows filter out unwanted attributes before running classifier.

from there, need set classifier type (j48), evaluator , search methods limit number of attributes.


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