A Comparison between Explainable Machine Learning Methods for Classification and Regression Problems in the Actuarial Context

A Comparison between Explainable Machine Learning Methods for Classification and Regression Problems in the Actuarial Context

Machine learning, a subfield of artificial intelligence, emphasizes the creation of algorithms capable of learning from data and generating predictions. However, in actuarial science, the interpretability of these models often presents challenges, raising concerns about their accuracy and reliabilit...

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Bibliographic Details
Main Authors: Catalina Lozano-Murcia, Francisco P. Romero, Jesus Serrano-Guerrero, Jose A. Olivas
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Mathematics
Subjects:
machine learning
artificial intelligence
explainable machine learning
accuracy
interpretability
Online Access:https://www.mdpi.com/2227-7390/11/14/3088

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