92.2. クレジットカード取引紛争の例 PMML ファイル


以下の XML コンテンツを使用して、「PMML モデルと DMN モデルを使用して、クレジットカード取引の異議申し立てを解決」 演習で dtree_risk_predictor.pmml ファイルを作成します。

<?xml version="1.0" encoding="UTF-8"?>
<PMML xmlns="http://www.dmg.org/PMML-4_2" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.2" xsi:schemaLocation="http://www.dmg.org/PMML-4_2 http://www.dmg.org/v4-2-1/pmml-4-2.xsd">
  <Header copyright="Copyright (c) 2018 Software AG" description="Default Description">
    <Application name="Nyoka" version="4.3.0" />
    <Timestamp>2020-10-09 14:27:26.622723</Timestamp>
  </Header>
  <DataDictionary numberOfFields="3">
    <DataField name="amount" optype="continuous" dataType="double" />
    <DataField name="holder_index" optype="continuous" dataType="double" />
    <DataField name="dispute_risk" optype="categorical" dataType="integer">
      <Value value="1" />
      <Value value="2" />
      <Value value="3" />
      <Value value="4" />
      <Value value="5" />
    </DataField>
  </DataDictionary>
  <TreeModel modelName="DecisionTreeClassifier" functionName="classification" missingValuePenalty="1.0">
    <MiningSchema>
      <MiningField name="amount" usageType="active" optype="continuous" />
      <MiningField name="holder_index" usageType="active" optype="continuous" />
      <MiningField name="dispute_risk" usageType="target" optype="categorical" />
    </MiningSchema>
    <Output>
      <OutputField name="probability_1" optype="continuous" dataType="double" feature="probability" value="1" />
      <OutputField name="probability_2" optype="continuous" dataType="double" feature="probability" value="2" />
      <OutputField name="probability_3" optype="continuous" dataType="double" feature="probability" value="3" />
      <OutputField name="probability_4" optype="continuous" dataType="double" feature="probability" value="4" />
      <OutputField name="probability_5" optype="continuous" dataType="double" feature="probability" value="5" />
      <OutputField name="predicted_dispute_risk" optype="categorical" dataType="integer" feature="predictedValue" />
    </Output>
    <Node id="0" recordCount="600.0">
      <True />
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          <ScoreDistribution value="1" recordCount="0.0" confidence="0.0" />
          <ScoreDistribution value="2" recordCount="55.0" confidence="1.0" />
          <ScoreDistribution value="3" recordCount="0.0" confidence="0.0" />
          <ScoreDistribution value="4" recordCount="0.0" confidence="0.0" />
          <ScoreDistribution value="5" recordCount="0.0" confidence="0.0" />
        </Node>
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          <SimplePredicate field="holder_index" operator="greaterThan" value="0.5" />
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          <ScoreDistribution value="3" recordCount="0.0" confidence="0.0" />
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          <ScoreDistribution value="5" recordCount="0.0" confidence="0.0" />
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            <SimplePredicate field="amount" operator="lessOrEqual" value="150.4550018310547" />
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            <ScoreDistribution value="3" recordCount="54.0" confidence="1.0" />
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  </TreeModel>
</PMML>
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