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The phrase "a mean precision of" is correct and usable in written English.
It can be used in contexts involving statistics, data analysis, or measurement accuracy to describe the average level of precision achieved.
Example: "The study reported a mean precision of 0.85, indicating a high level of accuracy in the measurements taken."
Alternatives: "an average precision of" or "a typical precision of".
Exact(5)
We measure a mean precision of about 95.4%.
She calculated a mean precision of about 3% for systematic reviews with a large range [ 51].
First, the comprehensive series of benchmarks of EFICAz show that we can expect a mean precision of 94% regardless of the sequence similarity between testing and training enzymes.
Results: Using the original PSICOV benchmark set of 150 protein families, MetaPSICOV achieves a mean precision of 0.54 for top- L predicted long range contacts around 60% higher than PSICOV, and around 40% better than CCMpred.
Classification of non-responders in each left-out cohort was again similar to that observed with 10-fold cross validation, with a mean specificity of 94 %, a mean precision of 69%%, and a mean sensitivity of 32%% across all four data sets (Table 4).
Similar(55)
The mean precision of the individual classifiers for cyber hate was 0.85, the mean recall 0.54, and the mean f-measure 0.656.
The mean (precision) of estimation was 10.1 (± 21.4) kg.
Mean precision of our machine is 1.3% for soft tissue.
The mean precision of the analyses of 20 incurred samples was 7.3%%.
When we used the TF IDF weight as a baseline, the mean average precision of picking the user click-words was 51%, and when we used our click-word model to score the words, the mean average precision of picking the user click-words increased to 61%.
The largest differences appear at low sequence identity; for identities over 20%, the mean precisions of all methods are similar.
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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