Relationship between the attributes consists of nominal, polynominal and numerical data
<?xml version="1.0" encoding="UTF-8"?><process version="8.2.001">
<context>
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<output/>
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<operator activated="true" class="process" compatibility="6.0.002" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="8.2.001" expanded="true" height="68" name="Retrieve 8 Data Cleaning test 3" width="90" x="112" y="34">
<parameter key="repository_entry" value="8 Data Cleaning test 3"/>
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<operator activated="true" class="concurrency:correlation_matrix" compatibility="8.2.000" expanded="true" height="103" name="Correlation Matrix" width="90" x="447" y="238">
<parameter key="include_special_attributes" value="true"/>
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<connect from_op="Retrieve 8 Data Cleaning test 3" from_port="output" to_op="Correlation Matrix" to_port="example set"/>
<connect from_op="Correlation Matrix" from_port="example set" to_port="result 2"/>
<connect from_op="Correlation Matrix" from_port="matrix" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="63"/>
<portSpacing port="sink_result 2" spacing="21"/>
<portSpacing port="sink_result 3" spacing="147"/>
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Altair Employeehello @azziaty256 - welcome to the community! Yes you can only use Correlation Matrix with numerical attributes as it is simply calculating pairwise r (or r^2 if you choose) correlation coefficients. It would be rather odd to calculate r (or r^2) between nominal / polynominal attributes as they are not numerical. I would recommend rethinking exactly what you are trying to do.
Scott
Hi,
In RapidMiner's Auto Model, there is some smart preprocessing done so that the correlations can also be calculated for your non-numerical attributes / columns. I would suggest to give it a try and see if this is what you are after. If yes, you can open the correlation process from Auto Model and adapt it to your needs.
Best,
Ingo
Altair Employeehello @azziaty256 - welcome to the community! Yes you can only use Correlation Matrix with numerical attributes as it is simply calculating pairwise r (or r^2 if you choose) correlation coefficients. It would be rather odd to calculate r (or r^2) between nominal / polynominal attributes as they are not numerical. I would recommend rethinking exactly what you are trying to do.
Scott
Hi,
In RapidMiner's Auto Model, there is some smart preprocessing done so that the correlations can also be calculated for your non-numerical attributes / columns. I would suggest to give it a try and see if this is what you are after. If yes, you can open the correlation process from Auto Model and adapt it to your needs.
Best,
Ingo
Sorry I am newbie..
Please help me how to make correlation between the attributes for a nominal, polynominal and numerical data types.