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The phrase "a maximum recognition rate" is correct and usable in written English.
It can be used in contexts related to performance metrics, particularly in fields like machine learning, image processing, or any area where recognition accuracy is measured.
Example: "The new algorithm achieved a maximum recognition rate of 95%, significantly improving upon previous models."
Alternatives: "the highest recognition rate" or "optimal recognition rate".
Exact(3)
The results are depicted in Table 9 having a maximum recognition rate of 95.80% and FNR 4.20%.
From Figure 6 we see that both methods reach a maximum recognition rate of 98% when using multiple bands.
The results are depicted in Table 11 having a maximum recognition rate (RR) of 99% on feature selection algorithm and also reduces the FNR up to 1%.
Similar(57)
The maximum recognition rate was obtained for α=0.4.
IJSRC achieves maximum recognition rate 98.535% with dimension 48.
The results are significantly better when feature selection algorithm is utilized and obtain maximum recognition rate of 99.30%.
The maximum recognition rates for JSRC and SRC are 98.022% and 97.363%.
As a result the proposed method attained a maximum recognition accuracy of 98.89%.
The maximum landmark recognition rate reached 95.9%.
They have achieved a 95%% recognition rate for speaker-independent E-set recognition and an overall alphabet recognition rate of 97.3%%.
The correct recognition accuracy is 91% with a false recognition rate of 15%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com