Regiane Kawasaki

Enhancing Classifier Evaluation: A Fairer Benchmarking Strategy Based on Ability and Robustness

2025 · arXiv (Cornell University)

Benchmarking is a fundamental practice in machine learning (ML) for comparing the performance of classification algorithms. However, traditional evaluation methods often overlook a critical aspect: the joint consideration of dataset complexity and an algorithm's ability …