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"Performance with Gini Index"
JEdward
RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 578 
Unicorn
Would I be correct in my assumption that I can abuse the Weight by Gini Index to use it as a way of calculating the performance of a model?
If not, why not? Here's a sample process demonstrating the abuse I mean.
If not, why not? Here's a sample process demonstrating the abuse I mean.
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.4.000">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="6.0.002" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="6.4.000" expanded="true" height="60" name="Retrieve Sonar" width="90" x="45" y="75">
<parameter key="repository_entry" value="//Samples/data/Sonar"/>
</operator>
<operator activated="true" class="split_data" compatibility="6.4.000" expanded="true" height="94" name="Split Data" width="90" x="179" y="75">
<enumeration key="partitions">
<parameter key="ratio" value="0.5"/>
<parameter key="ratio" value="0.5"/>
</enumeration>
</operator>
<operator activated="true" class="k_nn" compatibility="6.4.000" expanded="true" height="76" name="k-NN" width="90" x="313" y="30"/>
<operator activated="true" class="apply_model" compatibility="6.4.000" expanded="true" height="76" name="Apply Model" width="90" x="447" y="75">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance" compatibility="6.4.000" expanded="true" height="76" name="Performance" width="90" x="581" y="75">
<parameter key="use_example_weights" value="false"/>
</operator>
<operator activated="true" class="select_attributes" compatibility="6.4.000" expanded="true" height="76" name="Select Attributes" width="90" x="648" y="210">
<parameter key="invert_selection" value="true"/>
</operator>
<operator activated="true" class="set_role" compatibility="6.4.000" expanded="true" height="76" name="Set Role" width="90" x="782" y="165">
<parameter key="attribute_name" value="prediction(class)"/>
<list key="set_additional_roles">
<parameter key="confidence(Mine)" value="regular"/>
<parameter key="confidence(Rock)" value="regular"/>
</list>
</operator>
<operator activated="true" class="weight_by_gini_index" compatibility="6.4.000" expanded="true" height="76" name="Weight by Gini Index" width="90" x="916" y="120"/>
<connect from_op="Retrieve Sonar" from_port="output" to_op="Split Data" to_port="example set"/>
<connect from_op="Split Data" from_port="partition 1" to_op="k-NN" to_port="training set"/>
<connect from_op="Split Data" from_port="partition 2" to_op="Apply Model" to_port="unlabelled data"/>
<connect from_op="k-NN" from_port="model" to_op="Apply Model" to_port="model"/>
<connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
<connect from_op="Performance" from_port="performance" to_port="result 1"/>
<connect from_op="Performance" from_port="example set" to_op="Select Attributes" to_port="example set input"/>
<connect from_op="Select Attributes" from_port="example set output" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set output" to_op="Weight by Gini Index" to_port="example set"/>
<connect from_op="Weight by Gini Index" from_port="weights" to_port="result 2"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="36"/>
<portSpacing port="sink_result 2" spacing="36"/>
<portSpacing port="sink_result 3" spacing="18"/>
</process>
</operator>
</process>
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