no code implementations • 4 Dec 2022 • Gustavo P. Torquette, Victor S. Nunes, Pedro Y. A. Paiva, Lourenço B. C. Neto, Ana C. Lorena
Some recent pieces of work in the Machine Learning (ML) literature have demonstrated the usefulness of assessing which observations are hardest to have their label predicted accurately.
2 code implementations • 10 Aug 2018 • Ana C. Lorena, Luís P. F. Garcia, Jens Lehmann, Marcilio C. P. Souto, Tin K. Ho
This paper surveys and analyzes measures which can be extracted from the training datasets in order to characterize the complexity of the respective classification problems.