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Soft precision and recall
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DOI：10.1016/j.patrec.2023.02.005.png)
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摘要
En 中文
Precision and recall are classical measures used in machine learning. However, they are based on exact matching. This results in binary classification where the predicted item is either a true or false positive despite inexact matching is often preferred in pattern recognition. To address this problem, we introduce soft variants of precision and recall based on application-specific similarity measure. 2022 Elsevier Ltd. All rights reserved.
Keyword:
Soft measures
Evaluation
Precision
Recall
F-score
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期刊
IF:
3.3
论文数:
7.9K
被引数:
1.6W
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