Proposal for the Application of Fractional Operators in Polynomial Regression Models to Enhance the Determination Coefficient <i>R</i><sup>2</sup> on Unseen Data

Proposal for the Application of Fractional Operators in Polynomial Regression Models to Enhance the Determination Coefficient <i>R</i><sup>2</sup> on Unseen Data

Since polynomial regression models are generally quite reliable for data that can be handled using a linear system, it is important to note that in some cases, they may suffer from overfitting during the training phase. This can lead to negative values of the coefficient of determination <inline-...

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Bibliographic Details
Main Authors: Anthony Torres-Hernandez, Rafael Ramirez-Melendez, Fernando Brambila-Paz
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Fractal and Fractional
Subjects:
fractional operators
fractional calculus of sets
polynomial regression models
Online Access:https://www.mdpi.com/2504-3110/9/6/393
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