1 citations · 1 across the 3 of their papers we have counts for
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Characterizing instance hardness in classification and regression problems
Gustavo P. Torquette, Victor S. Nunes, Pedro Y. A. Paiva +2
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 accura…
PyHard: a novel tool for generating hardness embeddings to support data-centric analysis
Pedro Yuri Arbs Paiva, Kate Smith-Miles, Maria Gabriela Valeriano +1
For building successful Machine Learning (ML) systems, it is imperative to have high quality data and well tuned learning models. But how can one assess the quality of a given data…
How Complex is your classification problem? A survey on measuring classification complexity
Ana C. Lorena, Luís P. F. Garcia, Jens Lehmann +2
Characteristics extracted from the training datasets of classification problems have proven to be effective predictors in a number of meta-analyses. Among them, measures of classif…