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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Precision-Recall versus Accuracy and the Role of Large Data Sets

February 1, 2023

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Authors

Brendan Juba

Washington University in St. Louis


Hai S. Le

Washington University in St. Louis


DOI:

10.1609/aaai.v33i01.33014039


Abstract:

Practitioners of data mining and machine learning have long observed that the imbalance of classes in a data set negatively impacts the quality of classifiers trained on that data. Numerous techniques for coping with such imbalances have been proposed, but nearly all lack any theoretical grounding. By contrast, the standard theoretical analysis of machine learning admits no dependence on the imbalance of classes at all. The basic theorems of statistical learning establish the number of examples needed to estimate the accuracy of a classifier as a function of its complexity (VC-dimension) and the confidence desired; the class imbalance does not enter these formulas anywhere. In this work, we consider the measures of classifier performance in terms of precision and recall, a measure that is widely suggested as more appropriate to the classification of imbalanced data. We observe that whenever the precision is moderately large, the worse of the precision and recall is within a small constant factor of the accuracy weighted by the class imbalance. A corollary of this observation is that a larger number of examples is necessary and sufficient to address class imbalance, a finding we also illustrate empirically.

Topics: AAAI

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Brendan Juba||Hai S. Le Precision-Recall versus Accuracy and the Role of Large Data Sets Proceedings of the AAAI Conference on Artificial Intelligence (2019) 4039-4048.

Brendan Juba||Hai S. Le Precision-Recall versus Accuracy and the Role of Large Data Sets AAAI 2019, 4039-4048.

Brendan Juba||Hai S. Le (2019). Precision-Recall versus Accuracy and the Role of Large Data Sets. Proceedings of the AAAI Conference on Artificial Intelligence, 4039-4048.

Brendan Juba||Hai S. Le. Precision-Recall versus Accuracy and the Role of Large Data Sets. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.4039-4048.

Brendan Juba||Hai S. Le. 2019. Precision-Recall versus Accuracy and the Role of Large Data Sets. "Proceedings of the AAAI Conference on Artificial Intelligence". 4039-4048.

Brendan Juba||Hai S. Le. (2019) "Precision-Recall versus Accuracy and the Role of Large Data Sets", Proceedings of the AAAI Conference on Artificial Intelligence, p.4039-4048

Brendan Juba||Hai S. Le, "Precision-Recall versus Accuracy and the Role of Large Data Sets", AAAI, p.4039-4048, 2019.

Brendan Juba||Hai S. Le. "Precision-Recall versus Accuracy and the Role of Large Data Sets". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.4039-4048.

Brendan Juba||Hai S. Le. "Precision-Recall versus Accuracy and the Role of Large Data Sets". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 4039-4048.

Brendan Juba||Hai S. Le. Precision-Recall versus Accuracy and the Role of Large Data Sets. AAAI[Internet]. 2019[cited 2023]; 4039-4048.


ISSN: 2374-3468


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Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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