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"Attribute weighting and cross validation"

UsernameUsername Member Posts: 39 Maven
edited May 2019 in Help
Hi,

I want to select e.g the 80% best attributes according to the information gain. The first inner operator of the WrapperXValidation operator must return AttributeWeights, so how can I modify my AttributeWeights returned from InfoGainWeighting that the weights of the 80% worst attributes are set to zero?

Thanks
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Answers

  • IngoRMIngoRM Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751 RM Founder
    Hi,

    since the info gain weighting would deliver always the same weights I do not see why to use the Wrapper validation for that. You could simply apply the operator AttributeWeightSelection for using the top k attributes. Here is an example: 

    <operator name="Root" class="Process" expanded="yes">
        <operator name="ExampleSetGenerator" class="ExampleSetGenerator">
            <parameter key="number_examples"	value="500"/>
            <parameter key="number_of_attributes"	value="100"/>
            <parameter key="target_function"	value="sum classification"/>
        </operator>
        <operator name="InfoGainWeighting" class="InfoGainWeighting">
        </operator>
        <operator name="AttributeWeightSelection" class="AttributeWeightSelection">
            <parameter key="k"	value="80"/>
            <parameter key="weight_relation"	value="top k"/>
        </operator>
    </operator>
    Hope that gives you the basic idea.

    Cheers,
    Ingo
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