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The phrase "overall correct" is correct and can be used in written English.
It is typically used to describe the general correctness or accuracy of something. For example: - "Although there may be a few minor errors, the overall essay is correct and well-written." - "I would say the overall results of the experiment were correct, but there were a few outliers that could have affected the final outcome." - "After reviewing your work, I would say that it is overall correct, but there are a few areas that could use some improvement."
Exact(60)
The overall correct classification rate obtained was 90.6%.
Four distinct groups of anchovy were identified with an overall correct classification of 83%.
OSAD performance, confirmed using a different dataset of verified slicks, shows an a priori overall correct classification of 80%.
Measures of differential diagnostic value (positive and negative predictive power, sensitivity, specificity and overall correct diagnostic efficiency) confirmed the anticipated partial overlap between instruments.
Encouraging result of 70.8% overall correct classification rate obtained from the PNN-based classification algorithm demonstrates the technical feasibility of the proposed algorithm for obtaining vehicle classification information.
Overall correct ID results were obtained in 93.2%, 75.6% and 75.2% of the cases with the MALDI-TOF-MS, Phoenix and VITEK-2 systems, respectively.
Statistical prediction rules for two-class problems are generally designated to maximize the overall correct classification rate and to reflect an optimal balance of sensitivity and specificity.
Overall, correct detection of angry and fearful faces was associated with greater activation compared to incorrect responses, especially in the amygdala and fusiform gyrus.
We found overall correct classification (Random Forests) within the 2-D grid of 36% (all participants combined) and 48% (average of participants classified individually); chance 11%.
The overall correct answer percentage was 42%.
RESULTS: The overall correct response rates for all housestaff were 52% for mitral regurgitation, 37% for mitral stenosis, and 54% for aortic regurgitation.
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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