2024
DOI: 10.21203/rs.3.rs-4492948/v1
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A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Based on Hassanat Distance Metric

Ahmad Hassanat,
Mohammad Khaled Alqaralleh,
Ahmad S. Tarawneh
et al.

Abstract: 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 metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE). However, these metrics present challenges including sensitivity to outliers (notably MSE and RMSE) and scale depe… Show more

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