Formal definition of the MARS method for quantifying the unique target class discoveries of selected machine classifiers [version 2; peer review: 2 approved]
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...
Main Authors: | Namrata Mali, Felipe Restrepo, Peter Ractham, Alan Abrahams |
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Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2022-07-01
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Series: | F1000Research |
Subjects: | |
Online Access: | https://f1000research.com/articles/11-391/v2 |
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