2025
Deep Learning Amplified Early Stopping Bias: Overestimating Performance on Small Datasets
ICASSP 2025accepted
Cross-validation is commonly used to estimate machine learning model performance on new samples. However, using it for both hyperparameter selection and error estimation can lead to overestimating model performance, especially with extensive hyperparameter searches that overly tailor models to valid…