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"How can I get 'R squared' in logistic regression?"

pseoyeon5pseoyeon5 Member Posts: 3 Learner II
edited June 2019 in Help

HI, 

I wonder how I can get 'r squared' in logistic regression. 

I tried perfromance(regression) for this, but it didn't work. 

Here's xml code:)

Thanks in advance!

 

<?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 Delete blank-Seoyeon’s MacBook Pro-4" width="90" x="45" y="85">
<parameter key="repository_entry" value="../data/Delete blank-Seoyeon’s MacBook Pro-4"/>
</operator>
<operator activated="true" class="select_attributes" compatibility="8.0.001" expanded="true" height="82" name="Select Attributes" width="90" x="45" y="187">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attributes" value="IDKC WS(10)|IDKC WS(9)|IDKC_Ave_First Attempt_Opp9|IDPT_Ave_First Attempt_OPP9|ID_Ave_FirstAttempt_Opp9|KC_Ave_FirstAttempt_Opp9|PT_Ave_FirstAttempt_Opp9"/>
</operator>
<operator activated="true" class="filter_examples" compatibility="8.0.001" expanded="true" height="103" name="Filter Examples" width="90" x="45" y="289">
<list key="filters_list">
<parameter key="filters_entry_key" value="IDKC WS(10).does_not_equal.I"/>
</list>
</operator>
<operator activated="true" class="remove_unused_values" compatibility="8.0.001" expanded="true" height="103" name="Remove Unused Values" width="90" x="45" y="391">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="IDKC WS(10)"/>
</operator>
<operator activated="true" class="set_role" compatibility="8.0.001" expanded="true" height="82" name="Set Role" width="90" x="45" y="493">
<parameter key="attribute_name" value="IDKC WS(10)"/>
<parameter key="target_role" value="label"/>
<list key="set_additional_roles"/>
</operator>
<operator activated="true" class="concurrency:cross_validation" compatibility="8.0.001" expanded="true" height="145" name="Cross Validation" width="90" x="246" y="85">
<parameter key="sampling_type" value="stratified sampling"/>
<process expanded="true">
<operator activated="true" class="h2o:logistic_regression" compatibility="7.6.001" expanded="true" height="124" name="Logistic Regression" width="90" x="45" y="34"/>
<connect from_port="training set" to_op="Logistic Regression" to_port="training set"/>
<connect from_op="Logistic Regression" from_port="model" to_port="model"/>
<portSpacing port="source_training set" spacing="0"/>
<portSpacing port="sink_model" spacing="0"/>
<portSpacing port="sink_through 1" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="apply_model" compatibility="8.0.001" expanded="true" height="82" name="Apply Model" width="90" x="45" y="34">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_binominal_classification" compatibility="8.0.001" expanded="true" height="82" name="Performance" width="90" x="112" y="136">
<parameter key="AUC" value="true"/>
<parameter key="precision" value="true"/>
<parameter key="recall" value="true"/>
</operator>
<connect from_port="model" to_op="Apply Model" to_port="model"/>
<connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
<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="performance 1"/>
<portSpacing port="source_model" spacing="0"/>
<portSpacing port="source_test set" spacing="0"/>
<portSpacing port="source_through 1" spacing="0"/>
<portSpacing port="sink_test set results" spacing="0"/>
<portSpacing port="sink_performance 1" spacing="0"/>
<portSpacing port="sink_performance 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="apply_model" compatibility="8.0.001" expanded="true" height="82" name="Apply Model (2)" width="90" x="380" y="85">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="multiply" compatibility="8.0.001" expanded="true" height="103" name="Multiply" width="90" x="380" y="187"/>
<operator activated="true" class="performance_regression" compatibility="8.0.001" expanded="true" height="82" name="Performance (3)" width="90" x="514" y="340">
<parameter key="squared_correlation" value="true"/>
</operator>
<operator activated="true" class="performance_binominal_classification" compatibility="8.0.001" expanded="true" height="82" name="Performance (2)" width="90" x="380" y="340">
<parameter key="AUC" value="true"/>
<parameter key="precision" value="true"/>
<parameter key="recall" value="true"/>
</operator>
<connect from_op="Retrieve Delete blank-Seoyeon’s MacBook Pro-4" from_port="output" to_op="Select Attributes" to_port="example set input"/>
<connect from_op="Select Attributes" from_port="example set output" to_op="Filter Examples" to_port="example set input"/>
<connect from_op="Filter Examples" from_port="example set output" to_op="Remove Unused Values" to_port="example set input"/>
<connect from_op="Remove Unused Values" 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="Cross Validation" to_port="example set"/>
<connect from_op="Cross Validation" from_port="model" to_op="Apply Model (2)" to_port="model"/>
<connect from_op="Cross Validation" from_port="example set" to_op="Apply Model (2)" to_port="unlabelled data"/>
<connect from_op="Apply Model (2)" from_port="labelled data" to_op="Multiply" to_port="input"/>
<connect from_op="Apply Model (2)" from_port="model" to_port="result 1"/>
<connect from_op="Multiply" from_port="output 1" to_op="Performance (2)" to_port="labelled data"/>
<connect from_op="Multiply" from_port="output 2" to_op="Performance (3)" to_port="labelled data"/>
<connect from_op="Performance (3)" from_port="performance" to_port="result 3"/>
<connect from_op="Performance (2)" from_port="performance" to_port="result 2"/>
<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"/>
<portSpacing port="sink_result 4" spacing="0"/>
</process>
</operator>
</process>

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Answers

  • Thomas_OttThomas_Ott RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,761 Unicorn

    Thank you for sharing your process but please use the </> button to format your XML code. Also, please attached a sample data set.

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