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<?xml version="1.0" encoding="UTF-8"?>
<!-- Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root. -->
<MlrFunction name="CHANGE THIS NUMBER" featuredef="mlrfeaturedefs.xml" version="1.0">
<!-- ADD SCORE STANDARDIZATION OR CALIBRATION HERE -->
<DecisionTree loss="logistic">
<!-- ADD EARLY EXIT HERE -->
<Forest>
<Tree id="0">
<Node feature="AGE_GROUP$" value="2" id="N0_1">
<Node feature="EDUCATION_LEVEL$" value="0" id="N0_2">
<Response value="-0.2500000" id="T0_1"/>
<Response value="0.1250000" id="T0_2"/>
</Node>
<Node feature="AGE_GROUP$" value="1" id="N0_3">
<Response value="0.1250000" id="T0_3"/>
<Response value="0.2500000" id="T0_4"/>
</Node>
</Node>
</Tree>
<Tree id="1">
<Node feature="AGE_GROUP$" value="2" id="N1_1">
<Node feature="EDUCATION_LEVEL$" value="0" id="N1_2">
<Response value="-0.2189117" id="T1_1"/>
<Response value="-0.0000000" id="T1_2"/>
</Node>
<Node feature="EDUCATION_LEVEL$" value="0" id="N1_3">
<Response value="0.1094559" id="T1_3"/>
<Response value="0.2343953" id="T1_4"/>
</Node>
</Node>
</Tree>
<Tree id="2">
<Node feature="AGE_GROUP$" value="2" id="N2_1">
<Response value="-0.0962185" id="T2_1"/>
<Node feature="EDUCATION_LEVEL$" value="0" id="N2_2">
<Node feature="AGE_GROUP$" value="1" id="N2_3">
<Response value="0.0000000" id="T2_2"/>
<Response value="0.2055456" id="T2_3"/>
</Node>
<Response value="0.2055530" id="T2_4"/>
</Node>
</Node>
</Tree>
<Tree id="3">
<Node feature="EDUCATION_LEVEL$" value="0" id="N3_1">
<Response value="0.0905977" id="T3_1"/>
<Response value="0.1812016" id="T3_2"/>
</Node>
</Tree>
<Tree id="4">
<Node feature="EDUCATION_LEVEL$" value="0,1" id="N4_1">
<Node feature="AGE_GROUP$" value="2" id="N4_2">
<Node feature="EDUCATION_LEVEL$" value="0" id="N4_3">
<Response value="-0.1917720" id="T4_1"/>
<Response value="-0.0000000" id="T4_2"/>
</Node>
<Node feature="AGE_GROUP$" value="1" id="N4_4">
<Node feature="EDUCATION_LEVEL$" value="0" id="N4_5">
<Response value="0.0000000" id="T4_3"/>
<Response value="0.1608304" id="T4_4"/>
</Node>
<Response value="0.1708644" id="T4_5"/>
</Node>
</Node>
<Response value="0.1923393" id="T4_6"/>
</Node>
</Tree>
<Tree id="5">
<Node feature="EDUCATION_LEVEL$" value="foo,bar" id="N5_1">
<Node feature="AGE_GROUP$" value="2" id="N5_2">
<Node feature="EDUCATION_LEVEL$" value="baz" id="N5_3">
<Response value="-0.1696624" id="T5_1"/>
<Response value="-0.0000000" id="T5_2"/>
</Node>
<Node feature="AGE_GROUP$" value="1" id="N5_4">
<Node feature="EDUCATION_LEVEL$" value="0" id="N5_5">
<Response value="0.0000000" id="T5_3"/>
<Response value="0.1438091" id="T5_4"/>
</Node>
<Response value="0.1521967" id="T5_5"/>
</Node>
</Node>
<Response value="0.2003772" id="T5_6"/>
</Node>
</Tree>
<Tree id="6">
<Response value="-0.0108278" id="T6_1"/>
</Tree>
<Tree id="7">
<Node feature="EDUCATION_LEVEL$" value="0" id="N7_1">
<Response value="-0.1500528" id="T7_1"/>
<Node feature="GENDER$" value="1" id="N7_2">
<Response value="0.0652894" id="T7_2"/>
<Response value="0.1543407" id="T7_3"/>
</Node>
</Node>
</Tree>
<Tree id="8">
<Node feature="AGE_GROUP$" value="1" id="N8_1">
<Response value="0.0000000" id="T8_1"/>
<Response value="0.1569706" id="T8_2"/>
</Node>
</Tree>
<Tree id="9">
<Node feature="AGE_GROUP$" value="1" id="N9_1">
<Response value="0.0000000" id="T9_1"/>
<Node feature="EDUCATION_LEVEL$" value="1" id="N9_2">
<Response value="0.0000000" id="T9_2"/>
<Response value="0.1405829" id="T9_3"/>
</Node>
</Node>
</Tree>
</Forest>
</DecisionTree>
</MlrFunction>
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