Comparisons of SVM Kernels for Insurance Data Clustering

Comparisons of SVM Kernels for Insurance Data Clustering

This paper will study insurance data clustering using Support Vector Machine (SVM) approaches. It investigates the optimum condition employing the three most popular kernels of SVM, i.e., linear, polynomial, and radial basis kernel. To explore sum insured datasets, kernel comparisons for Root Mean S...

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Bibliographic Details
Main Authors: Irfan Nurhidayat, Busayamas Pimpunchat, Samad Noeiaghdam, Unai Fernández-Gámiz
Format: Article
Language:English
Published: Ital Publication 2022-05-01
Series:Emerging Science Journal
Subjects:
insurance data clustering
support vector machine
rmse
auc
sum insured.
Online Access:https://www.ijournalse.org/index.php/ESJ/article/view/1121

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