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The phrase "average precision" is correct and usable in written English.
It is typically used in contexts related to statistics, information retrieval, and machine learning to describe a measure of the accuracy of a model or system.
Example: "The average precision of the search algorithm improved significantly after the latest update."
Alternatives: "mean precision" or "typical precision".
Exact(60)
Difference mean average precision.
Mean Average Precision.
Mean of average precision.
Its mean average precision is 87.5%.
Fig. 10 Average precision at k.
Mean average precision NLP: Natural language processing.
Fig. 19 Average precision and recall after tracking 20 targets.
Moreover, the average precision is 0.23 only using MFCCs features.
The average precision is calculated across the 20 users.
CLA-based classification algorithm gets average precision 84% on eight data sets in comparison with SVM, KNN and Naive Bayes with average precision 88%, 84%and75%5%, respectively.
The result was a twofold increase in the mean average precision.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com