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    <Header copyright="Copyright (c) 2008 Zementis, Inc. (www.zementis.com)" description="Neural Network for multi-class classification using the Iris dataset">
        <Timestamp>Feb 15, 2008</Timestamp>
    </Header>
    <DataDictionary numberOfFields="5">
        <DataField dataType="string" name="target_class" optype="categorical">
            <Value value="Iris-setosa" />
            <Value value="Iris-versicolor" />
            <Value value="Iris-virginica" />
        </DataField>
        <DataField dataType="double" name="sepal_length" optype="continuous" />
        <DataField dataType="double" name="sepal_width" optype="continuous" />
        <DataField dataType="double" name="petal_length" optype="continuous" />
        <DataField dataType="double" name="petal_width" optype="continuous" />
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                <LinearNorm norm="1" orig="7.9" />
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        <DerivedField dataType="double" name="derived_sepal_width" optype="continuous">
            <NormContinuous field="sepal_width">
                <LinearNorm norm="0" orig="2" />
                <LinearNorm norm="1" orig="4.2" />
            </NormContinuous>
        </DerivedField>
        <DerivedField dataType="double" name="derived_petal_length" optype="continuous">
            <NormContinuous field="petal_length">
                <LinearNorm norm="0" orig="1" />
                <LinearNorm norm="1" orig="6.7" />
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        <DerivedField dataType="double" name="derived_petal_width" optype="continuous">
            <NormContinuous field="petal_width">
                <LinearNorm norm="0" orig="0.1" />
                <LinearNorm norm="1" orig="2.5" />
            </NormContinuous>
        </DerivedField>
    </TransformationDictionary>
    <NeuralNetwork activationFunction="tanh" functionName="classification" modelName="Iris_NN">
        <MiningSchema>
            <MiningField name="sepal_length" />
            <MiningField name="sepal_width" />
            <MiningField name="petal_length" />
            <MiningField name="petal_width" />
            <MiningField name="target_class" usageType="predicted" />
        </MiningSchema>
        <Output>
            <OutputField dataType="string" feature="predictedValue" name="class" />
            <OutputField dataType="double" feature="probability" name="Probability_setosa" optype="continuous"
                value="Iris-setosa" />
            <OutputField dataType="double" feature="probability" name="Probability_versicolor" optype="continuous"
                value="Iris-versicolor" />
            <OutputField dataType="double" feature="probability" name="Probability_virginica" optype="continuous"
                value="Iris-virginica" />
        </Output>
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            </NeuralInput>
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            <NeuralInput id="2">
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            <NeuralInput id="3">
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        <NeuralOutputs>
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            <NeuralOutput outputNeuron="12">
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                    <NormDiscrete field="target_class" value="Iris-versicolor" />
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            <NeuralOutput outputNeuron="13">
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                    <NormDiscrete field="target_class" value="Iris-virginica" />
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