Nuevo chat
Historial de búsqueda
Investigación académicaBúsqueda de artículosBibliotecaChats recientes
Leakage and the reproducibility crisis in machine-learning-based science
Leakage and the reproducibility crisis in machine-learning-based science
Sayash Kapoor,Arvind Narayanan
2023 · DOI: 10.1016/j.patter.2023.100804
Patterns · 378 citas
TLDR
A survey of literature in fields that have adopted ML methods finds 17 fields where leakage has been found, collectively affecting 294 papers and, in some cases, leading to wildly overoptimistic conclusions.
