Your English writing platform
Discover LudwigSuggestions(2)
Exact(60)
They obtained a classification accuracy of 94%%.
They reported a classification accuracy of 64.1%.
In our real world experiments, our approach yields a classification accuracy close to 100%.
The authors defined three driving styles and achieved a classification accuracy of 77%.
A classification accuracy Acc gives the percentage of correctly classified samples regardless their class.
The LR algorithm performs well, and we obtain a classification accuracy between 88 and 90%%.
(a) Classification accuracy for MLP NN using FFT and IRS-FFT on uncompressed images.
A classification accuracy of 91.50% was reported by the authors, while our proposed system achieved 92.06%.
A distance of 3 standard deviations represents a classification accuracy of more than 90%.
By contrast, D-ABC algorithm obtains a classification accuracy of 92.38 %.
All of these setups handled the data sparsity issue with a classification accuracy of 82.97 %.
Write better and faster with AI suggestions while staying true to your unique style.
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