Month: March 2021

[R] Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks

Hi Reddit! We’re excited to share our latest research: label errors are pervasive in 10 of the most-commonly used benchmark test sets used in most machine learning research. We investigate the implication of these label errors, in particular, how they affect the stability of ML model benchmark rankings. An example label error from each category …