🎉 🎉 RAPIDMINER 9.10 IS OUT!!! 🎉🎉

Download the latest version helping analytics teams accelerate time-to-value for streaming and IIOT use cases.

CLICK HERE TO DOWNLOAD

Logistic Loss doesn't work

Kr4BzzzKr4Bzzz Member Posts: 2 Contributor I
edited November 2018 in Help
Hi!

I want to evaluate the prediction probabilities of a classifier via logistic loss.
My workflow is <Classifier> --> Apply Model --> Performance (Classification).

I choose logistic loss as main criterion, but whatever I do, I always get the following output:
logistic_loss: ∞

What am I doing wrong?

Answers

  • Nils_WoehlerNils_Woehler Member Posts: 463  Maven
    Hi,

    please post your process setup (like it is described here  http://rapid-i.com/rapidforum/index.php/topic,4654.0.html), so that we can see what you are doing right now and give you hints on how to improve it.

    Best,
    Nils
  • Kr4BzzzKr4Bzzz Member Posts: 2 Contributor I
    <?xml version="1.0" encoding="UTF-8" standalone="no"?>
    <process version="5.2.003">
      <context>
        <input/>
        <output/>
        <macros/>
      </context>
      <operator activated="true" class="process" compatibility="5.2.003" expanded="true" name="Process">
        <parameter key="parallelize_main_process" value="true"/>
        <process expanded="true" height="663" width="705">
          <operator activated="true" class="retrieve" compatibility="5.2.003" expanded="true" height="60" name="Retrieve" width="90" x="45" y="30">
            <parameter key="repository_entry" value="BioResponse_Train"/>
          </operator>
          <operator activated="true" class="set_role" compatibility="5.2.003" expanded="true" height="76" name="Set Role" width="90" x="180" y="30">
            <parameter key="name" value="Activity"/>
            <parameter key="target_role" value="label"/>
            <list key="set_additional_roles"/>
          </operator>
          <operator activated="true" class="support_vector_machine_libsvm" compatibility="5.2.003" expanded="true" height="76" name="SVM" width="90" x="315" y="30">
            <list key="class_weights"/>
            <parameter key="calculate_confidences" value="true"/>
          </operator>
          <operator activated="true" class="apply_model" compatibility="5.2.003" expanded="true" height="76" name="Apply Model" width="90" x="450" y="30">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance_classification" compatibility="5.2.003" expanded="true" height="76" name="Performance" width="90" x="585" y="30">
            <parameter key="main_criterion" value="logistic_loss"/>
            <parameter key="logistic_loss" value="true"/>
            <list key="class_weights"/>
          </operator>
          <connect from_op="Retrieve" from_port="output" to_op="Set Role" to_port="example set input"/>
          <connect from_op="Set Role" from_port="example set output" to_op="SVM" to_port="training set"/>
          <connect from_op="SVM" from_port="model" to_op="Apply Model" to_port="model"/>
          <connect from_op="SVM" from_port="exampleSet" 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="result 1"/>
          <portSpacing port="source_input 1" spacing="0"/>
          <portSpacing port="sink_result 1" spacing="0"/>
          <portSpacing port="sink_result 2" spacing="0"/>
        </process>
      </operator>
    </process>
Sign In or Register to comment.