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Do you want to compute p-value for the significance of the factors in Logistic Regression? Just check the box and enable it in GLM or Log Regression operator.
Do you want to compute p-value for the significance of the factors in Logistic Regression? Just check the box and enable it in GLM or Log Regression operator.
<?xml version="1.0" encoding="UTF-8"?><process version="9.6.000"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="9.4.000" expanded="true" name="Process" origin="GENERATED_TUTORIAL"> <parameter key="logverbosity" value="init"/> <parameter key="random_seed" value="2001"/> <parameter key="send_mail" value="never"/> <parameter key="notification_email" value=""/> <parameter key="process_duration_for_mail" value="30"/> <parameter key="encoding" value="SYSTEM"/> <process expanded="true"> <operator activated="true" class="retrieve" compatibility="9.6.000" expanded="true" height="68" name="Retrieve Deals" origin="GENERATED_TUTORIAL" width="90" x="45" y="34"> <parameter key="repository_entry" value="//Samples/data/Deals"/> </operator> <operator activated="true" class="h2o:logistic_regression" compatibility="9.3.001" expanded="true" height="124" name="Logistic Regression" origin="GENERATED_TUTORIAL" width="90" x="179" y="34"> <parameter key="solver" value="AUTO"/> <parameter key="reproducible" value="true"/> <parameter key="maximum_number_of_threads" value="4"/> <parameter key="use_regularization" value="false"/> <parameter key="lambda_search" value="false"/> <parameter key="number_of_lambdas" value="0"/> <parameter key="lambda_min_ratio" value="0.0"/> <parameter key="early_stopping" value="true"/> <parameter key="stopping_rounds" value="3"/> <parameter key="stopping_tolerance" value="0.001"/> <parameter key="standardize" value="true"/> <parameter key="non-negative_coefficients" value="false"/> <parameter key="add_intercept" value="true"/> <parameter key="compute_p-values" value="true"/> <parameter key="remove_collinear_columns" value="true"/> <parameter key="missing_values_handling" value="MeanImputation"/> <parameter key="max_iterations" value="0"/> <parameter key="max_runtime_seconds" value="0"/> </operator> <operator activated="true" class="retrieve" compatibility="9.6.000" expanded="true" height="68" name="Retrieve Sonar" width="90" x="45" y="238"> <parameter key="repository_entry" value="//Samples/data/Sonar"/> </operator> <operator activated="true" class="h2o:logistic_regression" compatibility="9.3.001" expanded="true" height="124" name="Logistic Regression (2)" origin="GENERATED_TUTORIAL" width="90" x="179" y="238"> <parameter key="solver" value="AUTO"/> <parameter key="reproducible" value="true"/> <parameter key="maximum_number_of_threads" value="4"/> <parameter key="use_regularization" value="false"/> <parameter key="lambda_search" value="false"/> <parameter key="number_of_lambdas" value="0"/> <parameter key="lambda_min_ratio" value="0.0"/> <parameter key="early_stopping" value="true"/> <parameter key="stopping_rounds" value="3"/> <parameter key="stopping_tolerance" value="0.001"/> <parameter key="standardize" value="true"/> <parameter key="non-negative_coefficients" value="false"/> <parameter key="add_intercept" value="true"/> <parameter key="compute_p-values" value="true"/> <parameter key="remove_collinear_columns" value="true"/> <parameter key="missing_values_handling" value="MeanImputation"/> <parameter key="max_iterations" value="0"/> <parameter key="max_runtime_seconds" value="0"/> </operator> <connect from_op="Retrieve Deals" from_port="output" to_op="Logistic Regression" to_port="training set"/> <connect from_op="Logistic Regression" from_port="model" to_port="result 1"/> <connect from_op="Retrieve Sonar" from_port="output" to_op="Logistic Regression (2)" to_port="training set"/> <connect from_op="Logistic Regression (2)" from_port="model" 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"/> </process> </operator> </process>Cheers,
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