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Nominal2Binomial format

Hi,

I changed a Nominal attribute to Binomial attribute. Now, the binomial attributes have the values, "true" and "false". But, I dont want it to be so. I want 1 and 0 instead of "true" and "false". How do i do this? Is there any option while doing the Nominal2Binolian to take this option? This would be a better way....

Another way is to now change all the dummy variable (say hundredss of them) codings using some mappings or so? Is there a better method for this too?

In general what is the best method to handle this problem?

Many thanks, Shubha

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steffen

Hello

Try Mapping and FeatureIterator

hope that was helpful

regards,

Steffen

haddock

Hi all,

Rapidminer is like Lego, you can build things in different ways, so here is an alternative...


<operator name="Root" class="Process" expanded="yes">
    <operator name="ExampleSetGenerator" class="ExampleSetGenerator" breakpoints="after">
        <parameter key="target_function"	value="interaction classification"/>
    </operator>
    <operator name="AttributeSubsetPreprocessing" class="AttributeSubsetPreprocessing" expanded="yes">
        <parameter key="condition_class"	value="is_nominal"/>
        <parameter key="process_special_attributes"	value="true"/>
        <operator name="Nominal2Numerical" class="Nominal2Numerical">
        </operator>
    </operator>
</operator>

But, just like with Lego, it is a good idea for beginners to have a look at working models first, why not check out help->Rapidminer Tutorial