Out with the opaque
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<name type="personal" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20260002989">
<namePart>Gawlowski, Karol</namePart>
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<abstract displayLabel="Summary">The article reviews how actuarial predictive models are evolving, comparing traditional GLM and GAM approaches with newer, more interpretable techniques such as IBLM and EBM. These modern models enhance predictive accuracy while preserving transparency, demonstrated through examples using real motor insurance data. The text highlights the growing importance of data science in actuarial practice</abstract>
<note type="statement of responsibility">Karol Gawluwski...[et al.]</note>
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<topic>Modelos predictivos</topic>
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<topic>Machine learning</topic>
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<topic>Cálculo actuarial</topic>
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<topic>Tarificación</topic>
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<topic>Seguro de automóviles</topic>
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<title>The Actuary : the magazine of the Institute & Faculty of Actuaries</title>
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<publisher>London : Redactive Publishing, 2019-</publisher>
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<identifier type="local">MAP20200013259</identifier>
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<text>02/02/2026 Number 7 - February 2026 , p. 32 - 35</text>
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