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Modelos de Aprendizaje Automático Mediante Árboles de Decisión

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  • Carlos Arana

Abstract

Los modelos de aprendizaje automatico (machine learning) supervisados de clasificación mediante particiones binarias recursivas, tambien llamados "árboles de decisión" se encuentran entre los más utilizados en la ciencia de datos, no sólo por su interpretabilidad y su performance sino tambien por ser la base de los modelos más potentes utilizados en la actualidad: los ensambles de árboles de decisión. Al seguir siendo con siderados los modelos de clasificación por excelencia, es que en este trabajo presentaré sus fundamentos, sus elementos constitutivos y los procedimientos involucrados para su implementación, puesta en marcha y medición de performance predictiva.

Suggested Citation

  • Carlos Arana, 2021. "Modelos de Aprendizaje Automático Mediante Árboles de Decisión," CEMA Working Papers: Serie Documentos de Trabajo. 778, Universidad del CEMA.
    • Handle: RePEc:cem:doctra:778
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    Keywords

    Inteligencia Artificial; Aprendizaje Automático; Ciencia de Datos; Clasificadores; Árboles de Decisión;
    All these keywords.

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