L. Jochymek

Quantifying performance inflation from hidden sample dependence in biomedical image classification benchmarks

Machine learning benchmarks often treat image files as independent observations, although multiple files may represent repeated views or other related samples. Prior work has shown that non-independent partitioning can inflate model performance, but the sensitivity of a biomedical benchmark to progressively increasing...