RapidMiner

RapidMiner

Attribute weighting and cross validation

Regular Contributor

Attribute weighting and cross validation

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
1 REPLY
RMStaff

Re: Attribute weighting and cross validation

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