Logistic Regression - Normalization does not change Attribute Weights

Try outputting the PRE port on the Normalization operator, that will tell you how it's normalizing the data.

By default the operator Logistic Regression normalizes the data (but uses the word standardize instead of normalize). Uncheck the option 'standardize'.  It does make a difference to the coefficients whether you normalize or not.  Check the process below

<?xml version="1.0" encoding="UTF-8"?><process version="8.0.001">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="8.0.001" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="retrieve" compatibility="8.0.001" expanded="true" height="68" name="Retrieve Sonar" width="90" x="246" y="187">
        <parameter key="repository_entry" value="//Samples/data/Sonar"/>
      </operator>
      <operator activated="true" class="multiply" compatibility="8.0.001" expanded="true" height="103" name="Multiply" width="90" x="447" y="187"/>
      <operator activated="true" class="normalize" compatibility="8.0.001" expanded="true" height="103" name="Normalize" width="90" x="648" y="340"/>
      <operator activated="true" class="h2o:logistic_regression" compatibility="7.6.001" expanded="true" height="124" name="Logistic Regression (2)" width="90" x="849" y="340">
        <parameter key="standardize" value="false"/>
      </operator>
      <operator activated="true" class="h2o:logistic_regression" compatibility="7.6.001" expanded="true" height="124" name="Logistic Regression" width="90" x="849" y="187">
        <parameter key="standardize" value="false"/>
      </operator>
      <connect from_op="Retrieve Sonar" from_port="output" to_op="Multiply" to_port="input"/>
      <connect from_op="Multiply" from_port="output 1" to_op="Logistic Regression" to_port="training set"/>
      <connect from_op="Multiply" from_port="output 2" to_op="Normalize" to_port="example set input"/>
      <connect from_op="Normalize" from_port="example set output" to_op="Logistic Regression (2)" to_port="training set"/>
      <connect from_op="Logistic Regression (2)" from_port="model" to_port="result 2"/>
      <connect from_op="Logistic Regression" from_port="model" to_port="result 1"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
      <portSpacing port="sink_result 3" spacing="0"/>
    </process>
  </operator>
</process>

Thanks a lot, when I removed normalize box (which I do not need anymore as logistic regression has standardize in it) I could repeat the process with and without standardize option. Then I can see that attribute weights changed in each iteration.

Thanks a lot!

Cem

Hi, i wanted to have an explanation on logistic regression results from rapidminer. I wanted to know whether the p-values can be used to calculate odd ratios and how can it be interpreted.