A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Using a Non-Convex Distance Metric

A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Using a Non-Convex Distance Metric

Regression, a supervised machine learning approach, establishes relationships between independent variables and a continuous dependent variable. It is widely applied in areas like price prediction and time series forecasting. The performance of regression models is typically assessed using error met...

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Bibliographic Details
Main Authors: Ahmad B. Hassanat, Mohammad Khaled Alqaralleh, Ahmad S. Tarawneh, Khalid Almohammadi, Maha Alamri, Abdulkareem Alzahrani, Ghada A. Altarawneh, Rania Alhalaseh
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
regression
machine learning
performance assessment
Hassanat distance
Online Access:https://www.mdpi.com/2227-7390/12/22/3623
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