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Its mean average precision is 87.5%.
SVMmap: Learns rankings that optimize Mean Average Precision (MAP) as the performance metric.
The result was a twofold increase in the mean average precision.
FCS consistently shows better performance in terms of mean average precision over the queries evaluated in TRECVID 2005-2008.
Results are shown in terms of mean average precision over the queries used in the official TRECVID evaluations 2005-2008 TV05-088).
Factorial experiments were performed to examine potential interaction effect between collection frequency weight methods and term frequency weight methods according to the mean average precision and normalized discounted cumulative gain performance assessors.
The obtained results show the superiority of the proposed approach over the existing methods in terms of mean average precision, precision at position n, and normalized discount cumulative gain.
Difference mean average precision.
Mean Average Precision.
Mean average precision NLP: Natural language processing.
We utilize the mean average precision (mAP) and rank-1 accuracy to evaluate the performance.
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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