AUTHOR=Blum Luca , Elgendi Mohamed , Menon Carlo 

TITLE=Impact of Box-Cox Transformation on Machine-Learning Algorithms

JOURNAL=Frontiers in Artificial Intelligence

VOLUME=5

YEAR=2022

URL=https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2022.877569

DOI=10.3389/frai.2022.877569

ISSN=2624-8212

ABSTRACT=<p>This paper studied the effects of applying the Box-Cox transformation for classification tasks. Different optimization strategies were evaluated, and the results were promising on four synthetic datasets and two real-world datasets. A consistent improvement in accuracy was demonstrated using a grid exploration with cross-validation. In conclusion, applying the Box-Cox transformation could drastically improve the performance by up to a 12% accuracy increase. Moreover, the Box-Cox parameter choice was dependent on the data and the used classifier.</p>