arxivcs.LGmath.ST2026-06-27
On design-unbiased algorithmic Machine Learning
Li-Chun Zhang, Siu-Ming Tam, Luis Sanguiao-Sande, Wesley Yung, Anders Holmberg
Machine Learning (ML) algorithms, such as k-Nearest Neighbours (kNN) or random forest, eschew the ideal of true data models in favour of predictive performance. However, minimising the MSE or F-score cannot lead to unbiasedness directly, which is important in many situations such…