Zeinab Mohamed et al.

Effect of features burdened with classical error, misclassifications, Berkson error, and group-summary assignments on machine learning performance and interpretability

Abstract Measurement error is widespread in modern data pipelines, but its influence on predictive modeling and variable importance assessments in machine learning is often underestimated. Our study examines how input measurement error affects both prediction accuracy and interpr...