🦉🦉   WOOT WOOT!   RAPIDMINER WISDOM 2020 EARLY BIRD REGISTRATION ENDS FRIDAY DEC 13!   REGISTER NOW!   🦉🦉

"Difference in Performance Logging"

tektek Member Posts: 19  Maven
edited June 6 in Help
Hey,

in my process:

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.1.006">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.1.006" expanded="true" name="Process">
    <process expanded="true" height="444" width="563">
      <operator activated="true" class="free_memory" compatibility="5.1.006" expanded="true" height="76" name="Free Memory" width="90" x="246" y="30"/>
      <operator activated="true" class="loop_parameters" compatibility="5.1.006" expanded="true" height="76" name="Loop Parameters" width="90" x="380" y="30">
        <list key="parameters">
          <parameter key="Neural Net.learning_rate" value="0.3"/>
        </list>
        <process expanded="true" height="444" width="563">
          <operator activated="true" class="split_data" compatibility="5.1.006" expanded="true" height="94" name="Split Outer" width="90" x="45" y="30">
            <enumeration key="partitions">
              <parameter key="ratio" value="0.8"/>
              <parameter key="ratio" value="0.2"/>
            </enumeration>
          </operator>
          <operator activated="true" class="x_validation" compatibility="5.1.006" expanded="true" height="112" name="Validation" width="90" x="180" y="30">
            <parameter key="sampling_type" value="shuffled sampling"/>
            <process expanded="true" height="444" width="165">
              <operator activated="true" class="neural_net" compatibility="5.1.006" expanded="true" height="76" name="Neural Net" width="90" x="45" y="30">
                <list key="hidden_layers"/>
              </operator>
              <connect from_port="training" to_op="Neural Net" to_port="training set"/>
              <connect from_op="Neural Net" from_port="model" to_port="model"/>
              <portSpacing port="source_training" spacing="0"/>
              <portSpacing port="sink_model" spacing="0"/>
              <portSpacing port="sink_through 1" spacing="0"/>
            </process>
            <process expanded="true" height="444" width="300">
              <operator activated="true" class="apply_model" compatibility="5.1.006" expanded="true" height="76" name="CVApply" width="90" x="45" y="30">
                <list key="application_parameters"/>
              </operator>
              <operator activated="true" class="performance_regression" compatibility="5.1.006" expanded="true" height="76" name="CVPerf" width="90" x="180" y="30">
                <parameter key="absolute_error" value="true"/>
                <parameter key="relative_error" value="true"/>
                <parameter key="correlation" value="true"/>
              </operator>
              <connect from_port="model" to_op="CVApply" to_port="model"/>
              <connect from_port="test set" to_op="CVApply" to_port="unlabelled data"/>
              <connect from_op="CVApply" from_port="labelled data" to_op="CVPerf" to_port="labelled data"/>
              <connect from_op="CVPerf" from_port="performance" to_port="averagable 1"/>
              <portSpacing port="source_model" spacing="0"/>
              <portSpacing port="source_test set" spacing="0"/>
              <portSpacing port="source_through 1" spacing="0"/>
              <portSpacing port="sink_averagable 1" spacing="0"/>
              <portSpacing port="sink_averagable 2" spacing="0"/>
            </process>
          </operator>
          <operator activated="true" class="apply_model" compatibility="5.1.006" expanded="true" height="76" name="HOApply" width="90" x="315" y="30">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance_regression" compatibility="5.1.006" expanded="true" height="76" name="HOPerf" width="90" x="450" y="30">
            <parameter key="absolute_error" value="true"/>
            <parameter key="relative_error" value="true"/>
            <parameter key="correlation" value="true"/>
          </operator>
          <operator activated="true" class="log" compatibility="5.1.006" expanded="true" height="76" name="Log" width="90" x="447" y="210">
            <list key="log">
              <parameter key="CVPerformance" value="operator.CVPerf.value.performance"/>
              <parameter key="HOPerformance" value="operator.HOPerf.value.performance"/>
              <parameter key="CValidation" value="operator.Validation.value.performance"/>
            </list>
          </operator>
          <connect from_port="input 1" to_op="Split Outer" to_port="example set"/>
          <connect from_op="Split Outer" from_port="partition 1" to_op="Validation" to_port="training"/>
          <connect from_op="Split Outer" from_port="partition 2" to_op="HOApply" to_port="unlabelled data"/>
          <connect from_op="Validation" from_port="model" to_op="HOApply" to_port="model"/>
          <connect from_op="HOApply" from_port="labelled data" to_op="HOPerf" to_port="labelled data"/>
          <connect from_op="HOApply" from_port="model" to_port="result 1"/>
          <connect from_op="HOPerf" from_port="performance" to_op="Log" to_port="through 1"/>
          <portSpacing port="source_input 1" spacing="0"/>
          <portSpacing port="source_input 2" spacing="0"/>
          <portSpacing port="sink_performance" spacing="0"/>
          <portSpacing port="sink_result 1" spacing="0"/>
          <portSpacing port="sink_result 2" spacing="0"/>
        </process>
      </operator>
      <connect from_op="Free Memory" from_port="through 1" to_op="Loop Parameters" to_port="input 1"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
    </process>
  </operator>
</process>

I am logging 3 different performance values. Whats the difference between logging the performance criterion from "CVPerf" and "CValidation"?

It has a tremendous effect on the logged value, which surprised me. I thought that the performance of the inner performance operator should be equal to the one outputted by the x-Validation Operator?

Thanks for the help!
Tagged:
Sign In or Register to comment.