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Formal definition of the MARS method for quantifying the unique target class discoveries of selected machine classifiers
Conventional binary classification performance metrics evaluate either general measures (accuracy, F score) or specific aspects (precision, recall) of a model’s classifying ability. As such, these metrics, derived from the model’s confusion matrix, provide crucial insight regarding classifier-data i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9350436/ https://www.ncbi.nlm.nih.gov/pubmed/35967970 http://dx.doi.org/10.12688/f1000research.110567.2 |