FakeNewsAIModel.pmml

<PMML xmlns="http://www.dmg.org/PMML-4_2" version="4.2">
    <Header description="Fake news detector AI model">
       <Timestamp>2018-11-27</Timestamp>
    </Header>
    <DataDictionary numberOfFields="4">
        <DataField dataType="double" name="similarWebAvgScore" optype="continuous"/>
        <DataField dataType="double" name="similarWebStdScore" optype="continuous"/>
        <DataField dataType="double" name="sourceTaggedAsFakeCount" optype="continuous"/>
        <DataField dataType="double" name="fakeFactSitesCount" optype="continuous"/>
        <DataField dataType="double" name="reporterScore" optype="continuous"/>
        <DataField dataType="double" name="probabilityOfFakeNews" optype="continuous"/>
    </DataDictionary>
    <RegressionModel algorithmName="logisticRegression" functionName="regression" modelName="Logistic regression" normalizationMethod="logit" targetFieldName="probabilityOfFakeNews">
        <MiningSchema>
            <MiningField name="similarWebAvgScore"/>
            <MiningField name="similarWebStdScore"/>
            <MiningField name="sourceTaggedAsFakeCount"/>
            <MiningField name="fakeFactSitesCount"/>
            <MiningField name="reporterScore"/>
            <MiningField name="probabilityOfFakeNews" usageType="target"/>
        </MiningSchema>
        <RegressionTable targetCategory="fake news probability" intercept="-1.721156349">
            <NumericPredictor coefficient="0.504694764853" name="similarWebAvgScore"/>
            <NumericPredictor coefficient="0.2056938264853" name="similarWebStdScore"/>
            <NumericPredictor coefficient="-0.300255695157276" name="sourceTaggedAsFakeCount"/>
            <NumericPredictor coefficient="15.879640707112" name="fakeFactSitesCount"/>
            <NumericPredictor coefficient="0.00020330466648" name="reporterScore"/>
        </RegressionTable>
    </RegressionModel>
</PMML>