Abstract: Class imbalance occurs frequently in machine learning, particularly in binary classification tasks where the majority class has a significantly larger number of samples than the minority ...

Abstract: Focusing on multidimensional data analysis, this study applies a variety of machine learning algorithms for an in-depth exploration of decision preferences and influencing factors. A ...

There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...