rapid_miner_training/iris_decision_tree_model at master · samwar/rapid_miner_training · GitHub

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<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<PMML xmlns="http://www.dmg.org/PMML-3_1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="3.2">
  <Header copyright="Rapid-I GmbH" description="generated by RapidMiner 5.2">
    <Application name="RapidMiner" version="5.2.008"/>
    <Timestamp>Dec 7, 2012 10:42:55 AM</Timestamp>
  </Header>
  <DataDictionary numberOfFields="5">
    <DataField dataType="double" name="sepallength" optype="continuous"/>
    <DataField dataType="double" name="sepalwidth" optype="continuous"/>
    <DataField dataType="double" name="petallength" optype="continuous"/>
    <DataField dataType="double" name="petalwidth" optype="continuous"/>
    <DataField dataType="string" name="class" optype="categorical">
      <Value value="Iris-virginica"/>
      <Value value="Iris-setosa"/>
      <Value value="Iris-versicolor"/>
      <Value value="MISSING_VALUE"/>
    </DataField>
  </DataDictionary>
  <TreeModel algorithmName="DecisionTree" functionName="classification" missingValueStrategy="lastPrediction" modelName="Tree" noTrueChildStrategy="returnLastPrediction" splitCharacteristic="multiSplit">
    <MiningSchema>
      <MiningField highValue="1.0" importance="1.0" invalidValueTreatment="asIs" lowValue="0.0" missingValueTreatment="asIs" name="sepallength" optype="continuous" usageType="active"/>
      <MiningField highValue="1.0" importance="1.0" invalidValueTreatment="asIs" lowValue="0.0" missingValueTreatment="asIs" name="sepalwidth" optype="continuous" usageType="active"/>
      <MiningField highValue="1.0" importance="1.0" invalidValueTreatment="asIs" lowValue="0.0" missingValueTreatment="asIs" name="petallength" optype="continuous" usageType="active"/>
      <MiningField highValue="1.0" importance="1.0" invalidValueTreatment="asIs" lowValue="0.0" missingValueTreatment="asIs" name="petalwidth" optype="continuous" usageType="active"/>
      <MiningField highValue="1.0" importance="1.0" invalidValueTreatment="asIs" lowValue="0.0" missingValueTreatment="asIs" name="class" optype="categorical" usageType="predicted"/>
    </MiningSchema>
    <Output>
      <OutputField dataType="string" feature="predictedValue" name="prediction(class)" optype="categorical" targetField="class"/>
      <OutputField dataType="double" feature="probability" name="confidence(Iris-virginica)" optype="continuous" targetField="class" value="Iris-virginica"/>
      <OutputField dataType="double" feature="probability" name="confidence(Iris-setosa)" optype="continuous" targetField="class" value="Iris-setosa"/>
      <OutputField dataType="double" feature="probability" name="confidence(Iris-versicolor)" optype="continuous" targetField="class" value="Iris-versicolor"/>
    </Output>
    <Targets>
      <Target field="class" optype="categorical">
        <TargetValue value="Iris-virginica"/>
        <TargetValue value="Iris-setosa"/>
        <TargetValue value="Iris-versicolor"/>
      </Target>
    </Targets>
    <Node recordCount="0" score="Iris-virginica">
      <True/>
      <ScoreDistribution confidence="0.3619047619047619" recordCount="38" value="Iris-virginica"/>
      <ScoreDistribution confidence="0.3047619047619048" recordCount="32" value="Iris-setosa"/>
      <ScoreDistribution confidence="0.3333333333333333" recordCount="35" value="Iris-versicolor"/>
      <Node recordCount="0" score="Iris-virginica">
        <SimplePredicate field="petallength" operator="greaterThan" value="2.450"/>
        <ScoreDistribution confidence="0.5205479452054794" recordCount="38" value="Iris-virginica"/>
        <ScoreDistribution confidence="0.0" recordCount="0" value="Iris-setosa"/>
        <ScoreDistribution confidence="0.4794520547945205" recordCount="35" value="Iris-versicolor"/>
        <Node recordCount="34" score="Iris-virginica">
          <SimplePredicate field="petalwidth" operator="greaterThan" value="1.750"/>
          <ScoreDistribution confidence="1.0" recordCount="34" value="Iris-virginica"/>
          <ScoreDistribution confidence="0.0" recordCount="0" value="Iris-setosa"/>
          <ScoreDistribution confidence="0.0" recordCount="0" value="Iris-versicolor"/>
        </Node>
        <Node recordCount="39" score="Iris-versicolor">
          <SimplePredicate field="petalwidth" operator="lessOrEqual" value="1.750"/>
          <ScoreDistribution confidence="0.10256410256410256" recordCount="4" value="Iris-virginica"/>
          <ScoreDistribution confidence="0.0" recordCount="0" value="Iris-setosa"/>
          <ScoreDistribution confidence="0.8974358974358975" recordCount="35" value="Iris-versicolor"/>
        </Node>
      </Node>
      <Node recordCount="32" score="Iris-setosa">
        <SimplePredicate field="petallength" operator="lessOrEqual" value="2.450"/>
        <ScoreDistribution confidence="0.0" recordCount="0" value="Iris-virginica"/>
        <ScoreDistribution confidence="1.0" recordCount="32" value="Iris-setosa"/>
        <ScoreDistribution confidence="0.0" recordCount="0" value="Iris-versicolor"/>
      </Node>
    </Node>
  </TreeModel>
</PMML>