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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="regression">
<!-- ADD EARLY EXIT HERE -->
<Forest>
<Tree id="0">
</Tree>
<Tree id="1">
<Node feature="INFD_SCORE" value="3.2105989" id="N1_1">
<Node feature="GMP_SCORE" value="0.0138730" id="N1_2">
<Node feature="INFD_SCORE" value="1.8138845" id="N1_3">
<Response value="0.0018257" id="T1_1"/>
<Node feature="GMP_SCORE" value="0.0061840" id="N1_4">
<Response value="0.0034753" id="T1_2"/>
<Response value="0.0062119" id="T1_3"/>
</Node>
</Node>
<Node feature="INFD_SCORE" value="1.5684295" id="N1_5">
<Node feature="GMP_SCORE" value="0.0217475" id="N1_6">
<Response value="0.0043064" id="T1_4"/>
<Response value="0.0082065" id="T1_5"/>
</Node>
<Response value="0.0110743" id="T1_6"/>
</Node>
</Node>
<Node feature="GMP_SCORE" value="0.0100120" id="N1_7">
<Node feature="INFD_SCORE" value="5.5982456" id="N1_8">
<Node feature="GMP_SCORE" value="0.0052305" id="N1_9">
<Response value="0.0060169" id="T1_7"/>
<Response value="0.0094888" id="T1_8"/>
</Node>
<Response value="0.0119292" id="T1_9"/>
</Node>
<Response value="0.0174150" id="T1_10"/>
</Node>
</Node>
</Tree>
</Forest>
</DecisionTree>
</MlrFunction>
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