kogito-springboot-examples/pmml-springboot-example/src/main/resources/test_miningmodel.pmml

<?xml version="1.0" encoding="UTF-8"?>
<PMML version="4.4" xmlns="http://www.dmg.org/PMML-4_4">
  <Header copyright="KNIME">
    <Application name="KNIME" version="2.8.0"/>
  </Header>
  <DataDictionary>
    <DataField name="categoricalResult" optype="continuous" dataType="double"/>
    <DataField name="categoricalX" optype="categorical" dataType="string">
      <Value value="red"/>
      <Value value="green"/>
      <Value value="blue"/>
      <Value value="orange"/>
      <Value value="yellow"/>
    </DataField>
    <DataField name="categoricalY" optype="categorical" dataType="string">
      <Value value="classA"/>
      <Value value="classB"/>
      <Value value="classC"/>
    </DataField>
    <DataField name="age" optype="continuous" dataType="double"/>
    <DataField name="occupation" optype="categorical" dataType="string">
      <Value value="SKYDIVER" />
      <Value value="ASTRONAUT" />
      <Value value="PROGRAMMER" />
      <Value value="TEACHER" />
      <Value value="INSTRUCTOR" />
    </DataField>
    <DataField name="residenceState" optype="categorical" dataType="string">
      <Value value="AP" />
      <Value value="KN" />
      <Value value="TN" />
    </DataField>
    <DataField name="validLicense" optype="categorical" dataType="boolean"/>
    <DataField name="overallScore" optype="continuous" dataType="double" />
    <DataField name="variable" optype="continuous" dataType="double" />
  </DataDictionary>
  <MiningModel functionName="regression" modelName="PredicatesMining">
    <MiningSchema>
      <MiningField name="categoricalResult" usageType="predicted" invalidValueTreatment="returnInvalid"/>
      <MiningField name="categoricalX" usageType="active" invalidValueTreatment="returnInvalid"/>
      <MiningField name="categoricalY" usageType="active" invalidValueTreatment="returnInvalid"/>
      <MiningField name="age" usageType="active" invalidValueTreatment="asMissing"/>
      <MiningField name="occupation" usageType="active" invalidValueTreatment="asMissing"/>
      <MiningField name="residenceState" usageType="active" invalidValueTreatment="asMissing"/>
      <MiningField name="validLicense" usageType="active" invalidValueTreatment="asMissing"/>
      <MiningField name="variable" usageType="active" invalidValueTreatment="asMissing"/>
    </MiningSchema>
    <Segmentation multipleModelMethod="average">
      <Segment>
        <SimplePredicate field="variable" operator="lessThan" value="20"/>
        <RegressionModel modelName="CategoricalVariablesRegression" functionName="regression">
          <MiningSchema>
            <MiningField name="categoricalResult" usageType="predicted" invalidValueTreatment="returnInvalid"/>
            <MiningField name="categoricalX" usageType="active" invalidValueTreatment="returnInvalid"/>
            <MiningField name="categoricalY" usageType="active" invalidValueTreatment="returnInvalid"/>
          </MiningSchema>
          <Output>
            <OutputField name="Predicted_result" optype="continuous" dataType="double" feature="predictedValue"/>
          </Output>
          <RegressionTable intercept="-22.1">
            <CategoricalPredictor name="categoricalX" value="red" coefficient="5.5"/>
            <CategoricalPredictor name="categoricalX" value="green" coefficient="15"/>
            <CategoricalPredictor name="categoricalX" value="blue" coefficient="12"/>
            <CategoricalPredictor name="categoricalX" value="orange" coefficient="5.5"/>
            <CategoricalPredictor name="categoricalX" value="yellow" coefficient="-100.25"/>
            <CategoricalPredictor name="categoricalY" value="classA" coefficient="0"/>
            <CategoricalPredictor name="categoricalY" value="classB" coefficient="20"/>
            <CategoricalPredictor name="categoricalY" value="classC" coefficient="40"/>
          </RegressionTable>
        </RegressionModel>
      </Segment>
      <Segment>
        <SimpleSetPredicate field="occupation" booleanOperator="isIn">
          <Array n="2" type="string">SKYDIVER ASTRONAUT</Array>
        </SimpleSetPredicate>
        <Scorecard modelName="Sample Score" useReasonCodes="true" isScorable="true" functionName="regression" baselineScore="0.0" initialScore="0.345">
          <MiningSchema>
            <MiningField name="age" usageType="active" invalidValueTreatment="asMissing"/>
            <MiningField name="occupation" usageType="active" invalidValueTreatment="asMissing"/>
            <MiningField name="residenceState" usageType="active" invalidValueTreatment="asMissing"/>
            <MiningField name="validLicense" usageType="active" invalidValueTreatment="asMissing"/>
            <MiningField name="overallScore" usageType="predicted"/>
          </MiningSchema>
          <Output>
            <OutputField name="calculatedScore" displayName="Final Score" dataType="double" feature="predictedValue" targetField="overallScore"/>
          </Output>
          <Characteristics>
            <Characteristic name="AgeScore" baselineScore="0.0" reasonCode="ABZ">
              <Extension name="cellRef" value="$B$8"/>
              <Attribute partialScore="10.0">
                <Extension name="cellRef" value="$C$10"/>
                <SimplePredicate field="age" operator="lessOrEqual" value="5"/>
              </Attribute>
              <Attribute partialScore="30.0" reasonCode="CX1">
                <Extension name="cellRef" value="$C$11"/>
                <CompoundPredicate booleanOperator="and">
                  <SimplePredicate field="age" operator="greaterOrEqual" value="5"/>
                  <SimplePredicate field="age" operator="lessThan" value="12"/>
                </CompoundPredicate>
              </Attribute>
              <Attribute partialScore="40.0" reasonCode="CX2">
                <Extension name="cellRef" value="$C$12"/>
                <CompoundPredicate booleanOperator="and">
                  <SimplePredicate field="age" operator="greaterOrEqual" value="13"/>
                  <SimplePredicate field="age" operator="lessThan" value="44"/>
                </CompoundPredicate>
              </Attribute>
              <Attribute partialScore="25.0">
                <Extension name="cellRef" value="$C$13"/>
                <SimplePredicate field="age" operator="greaterOrEqual" value="45"/>
              </Attribute>
            </Characteristic>
            <Characteristic name="OccupationScore" baselineScore="0.0" reasonCode="OCC">
              <Extension name="cellRef" value="$B$16"/>
              <Attribute partialScore="-10.0" reasonCode="CX2">
                <Extension name="description" value="skydiving is a risky occupation"/>
                <Extension name="cellRef" value="$C$18"/>
                <SimpleSetPredicate field="occupation" booleanOperator="isIn">
                  <Array n="2" type="string">SKYDIVER ASTRONAUT</Array>
                </SimpleSetPredicate>
              </Attribute>
              <Attribute partialScore="10.0">
                <Extension name="cellRef" value="$C$19"/>
                <SimpleSetPredicate field="occupation" booleanOperator="isIn">
                  <Array n="2" type="string">TEACHER INSTRUCTOR</Array>
                </SimpleSetPredicate>
              </Attribute>
              <Attribute partialScore="5.0">
                <Extension name="cellRef" value="$C$20"/>
                <SimpleSetPredicate field="occupation" booleanOperator="isIn">
                  <Array n="2" type="string">PROGRAMMER STUDENT</Array>
                </SimpleSetPredicate>
              </Attribute>
            </Characteristic>
            <Characteristic name="ResidenceStateScore" baselineScore="0.0" reasonCode="RES">
              <Extension name="cellRef" value="$B$22"/>
              <Attribute partialScore="-10.0">
                <Extension name="cellRef" value="$C$24"/>
                <SimplePredicate field="residenceState" operator="equal" value="AP"/>
              </Attribute>
              <Attribute partialScore="10.0">
                <Extension name="cellRef" value="$C$25"/>
                <SimplePredicate field="residenceState" operator="equal" value="KN"/>
              </Attribute>
              <Attribute partialScore="5.0">
                <Extension name="cellRef" value="$C$26"/>
                <SimplePredicate field="residenceState" operator="equal" value="TN"/>
              </Attribute>
            </Characteristic>
            <Characteristic name="ValidLicenseScore" baselineScore="0.0">
              <Extension name="cellRef" value="$B$28"/>
              <Attribute partialScore="1.0" reasonCode="LX00">
                <Extension name="cellRef" value="$C$30"/>
                <SimplePredicate field="validLicense" operator="equal" value="true"/>
              </Attribute>
              <Attribute partialScore="-1.0" reasonCode="LX00">
                <Extension name="cellRef" value="$C$31"/>
                <SimplePredicate field="validLicense" operator="equal" value="false"/>
              </Attribute>
            </Characteristic>
          </Characteristics>
        </Scorecard>
      </Segment>
      <Segment>
        <CompoundPredicate booleanOperator="and">
          <SimplePredicate field="variable" operator="greaterOrEqual" value="5"/>
          <SimplePredicate field="variable" operator="lessThan" value="12"/>
        </CompoundPredicate>
        <RegressionModel modelName="OtherCategoricalVariablesRegression" functionName="regression">
          <MiningSchema>
            <MiningField name="categoricalResult" usageType="predicted" invalidValueTreatment="returnInvalid"/>
            <MiningField name="categoricalX" usageType="active" invalidValueTreatment="returnInvalid"/>
            <MiningField name="categoricalY" usageType="active" invalidValueTreatment="returnInvalid"/>
          </MiningSchema>
          <Output>
            <OutputField name="Predicted_result" optype="continuous" dataType="double" feature="predictedValue"/>
          </Output>
          <RegressionTable intercept="-15.1">
            <CategoricalPredictor name="categoricalX" value="red" coefficient="3.5"/>
            <CategoricalPredictor name="categoricalX" value="green" coefficient="11"/>
            <CategoricalPredictor name="categoricalX" value="blue" coefficient="14"/>
            <CategoricalPredictor name="categoricalX" value="orange" coefficient="2.7"/>
            <CategoricalPredictor name="categoricalX" value="yellow" coefficient="-80.25"/>
            <CategoricalPredictor name="categoricalY" value="classA" coefficient="11"/>
            <CategoricalPredictor name="categoricalY" value="classB" coefficient="2"/>
            <CategoricalPredictor name="categoricalY" value="classC" coefficient="4"/>
          </RegressionTable>
        </RegressionModel>
      </Segment>
    </Segmentation>
  </MiningModel>
</PMML>