The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here

"More than one performance evaluator in a cross validation"

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

is ist possible to use more than one operator for calculating performance values during cross validation? I want to use the ClassificationPerformance operator and a custom operator at the the same time to calculate several performance values.

Thanks

Answers

  • TobiasMalbrechtTobiasMalbrecht Moderator, Employee-RapidMiner, Member Posts: 295 RM Product Management
    Hi,

    generally, this should be possible. Compare e.g. the following simple process:

    <operator name="Root" class="Process" expanded="yes">
        <operator name="NominalExampleSetGenerator" class="NominalExampleSetGenerator">
        </operator>
        <operator name="XValidation" class="XValidation" expanded="yes">
            <operator name="DecisionTree" class="DecisionTree">
            </operator>
            <operator name="OperatorChain" class="OperatorChain" expanded="yes">
                <operator name="ModelApplier" class="ModelApplier">
                    <list key="application_parameters">
                    </list>
                </operator>
                <operator name="ClassificationPerformance" class="ClassificationPerformance">
                    <parameter key="accuracy" value="true"/>
                    <list key="class_weights">
                    </list>
                    <parameter key="keep_example_set" value="true"/>
                </operator>
                <operator name="ClassificationPerformance (2)" class="ClassificationPerformance">
                    <list key="class_weights">
                    </list>
                    <parameter key="classification_error" value="true"/>
                </operator>
            </operator>
        </operator>
    </operator>
    Regards,
    Tobias
Sign In or Register to comment.