Evaluation Choices Shape Biomedical ML Claims: A Pediatric Pneumonia Benchmark Case Study

Biomedical machine learning papers often compress model performance into one headline number. That number can look like a property of the model even when it depends strongly on how the benchmark was evaluated. We study this problem on the widely used Kermany pediatric chest radiograph dataset using