Examples of using An accuracy in English and their translations into Chinese
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The team found the CRD test was superior to the other biochemical tests, with an accuracy rate of 86 percent.
Called BERT, the AI program identified thousands of recalled products with an accuracy rate of 74 percent.
The CRD test was superior to the other biochemical tests, with an accuracy rate of 86 percent.
It can help confirm over 900 diseases at health centers at the grassroots level with an accuracy rate of 97 percent," Tao said.
For more than a  decade, it has detected more than 550 cancer cases with an accuracy rate of 93%.
Since its introduction, Heuritech's technology is said to have identified 4,000 different trends, and the firm claims an accuracy rate of 90%.
But I always try to use it with an accuracy and efficiency rather than speed and power.
After 3 minutes of training achieved an accuracy of about 78%, which is very impressive considering the very challenging nature of the task.
An accuracy value of absolute would mean the units do reflect real-world distances, there's no calibration problem.
Estimates based on genomic data predict stroke risk with an accuracy similar to, or greater than those based on clinical risk factors.
(AVATAR, meanwhile, claims an accuracy rate of between 60 and 70 percent.).
Index to an accuracy of two, money, minute and second hand pull noodle production method has been formed.
Face recognition can achieve an accuracy of 80% to 90%, but it is affected by factors such as camera angle, illumination, and age.
When the system was subsequently tasked with identifying the technique that a  violinist was using, it could do so with an accuracy of over 94 percent.
The association between a  symptom and the five biological parameters was established by the data mining method and it reached an accuracy of~80%.
Date and time data from January 1, 1753, to December 31, 9999, to an accuracy of one three-hundredth second, or 3.33 milliseconds.
Using a  kaggle dataset of 20,000 labeled articles, we achieved an accuracy of 93% when predicting labels for a  test set.
The Google voice recognition technology has grown to have an accuracy of 95%- this number has improved by 20% since 2013.
In addition, currently, the speech recognition technology of Google has an accuracy of 95%, improving by almost 20% since 2013.