Out with the opaque

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<dc:creator>Gawlowski, Karol</dc:creator>
<dc:date>2026-02-02</dc:date>
<dc:description xml:lang="es">Sumario: 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</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/189643.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Modelos predictivos</dc:subject>
<dc:subject xml:lang="es">Machine learning</dc:subject>
<dc:subject xml:lang="es">Cálculo actuarial</dc:subject>
<dc:subject xml:lang="es">Tarificación</dc:subject>
<dc:subject xml:lang="es">Seguro de automóviles</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Out with the opaque</dc:title>
<dc:relation xml:lang="es">En: The Actuary : the magazine of the Institute & Faculty of Actuaries. - London :  Redactive Publishing, 2019-. - 02/02/2026 Number 7 - February 2026 , p. 32 - 35</dc:relation>
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