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Exact(10)
We measure a mean precision of about 95.4%.
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.
She calculated a mean precision of about 3% for systematic reviews with a large range [ 51].
The mean precision of the analyses of 20 incurred samples was 7.3%%.
Similar(50)
The measured mean average precision of almost 50% (0.45%) means that half of the expected categories are proposed by the system.
MAP: The mean average precision of a single topic is the average of the accuracy after each related document is retrieved.
As shown in the Table 5, when we used the random selection baseline, the mean average precision of picking the user click-words was 11%.
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