Impact of Nuisance Variables on Classifier Performance: Measurement and Mitigation

This paper investigates the impact of 'nuisance variables' on classifier performance. Through experiments and analysis, the researchers demonstrate that 'nuisance variables' can significantly impact classifier accuracy, especially in datasets with substantial 'nuisance variable' presence. The paper proposes a method to quantify the effect of 'nuisance variables' and presents strategies for mitigating their impact, thereby enhancing classifier performance.