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Risk disclosures presented redundantly in both the visual and auditory modalities produced the highest recall and recognition.
Our experiments show that SneakLeak+ achieves highest precision (100%), highest recall (93.3%) and highest F-measure (0.97) as compared to existing state-of-art approaches.
Where the highest recall was of only 60.30%.
The combination of the highest precision with the highest recall provides the highest effectiveness.
With the MUSIC dataset, the highest recall is obtained without forgetting (α=1).
The Chemlist dictionary had the highest recall and the best F-score, but a lower precision than the ChemSpider dictionary.
With client-M4, client-M5 and client-F8, the P-DPA algorithm achieved the highest Recall values.
Min et al.'s method [14] yields the highest recall rate and the lowest precision rate among the three methods.
When the runs were optimized to favor recall, the ensemble approach achieved the second highest recall on unseen entities.
I-CENI, on the other hand, is the most time-consuming CENI model, yet always generates the highest recall.
In terms of advertising, TV ads lead to the highest recall among smartphone shoppers, followed by online ads, email advertisements and search engine listings.
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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