The phrase "accuracy of the samples" is correct and usable in written English.
It can be used when discussing the precision or correctness of data or measurements obtained from samples in various contexts, such as scientific research or quality control.
Example: "The accuracy of the samples collected during the experiment was crucial for validating the results."
Alternatives: "precision of the samples" or "correctness of the samples".
A coordinate measuring machine (CMM) (Mitutoyo CRYSTA-Apex S544, Japan) was used to evaluate the positional accuracy of the samples with accuracy of 0.0001 mm.
The classification accuracy of the samples in the gray space can be effectively improved by using the clustering analysis with the SVM model.
Furthermore, the samples of the survey in these five countries will be compared to results of official statistics in order to assess the likely accuracy of the samples obtained through the different sampling methods employed throughout the survey.
The samples of the survey in these five countries are compared to results of official statistics in order to assess the accuracy of the samples obtained through the different sampling methods.
Taking into account the relationships between the thyroid tumor pathologies, together with the main biological functions and pathways involved, improved the diagnostic accuracy of the samples.
This is on par with, or better than, the classification accuracy of the samples by the NTGrowth, C4 and CLASSIT, and conceptual clustering classification algorithms which were reported to the University of California at Irvine repository for machine learning as 77%, 74.8% and 78.9% respectively.
For many variables, costs may be minimised while maintaining a high accuracy of the sampling design via bulking of well-mixed samples prior to analysis.
There are limited data on the quality of reporting of information essential for replication of the calculation as well as the accuracy of the sample size calculation.
We have decreased the attribute accuracy of the sampled data set by scrambling a percentage of the attribute values.
The sample mean is an efficient estimator under the normal distribution; thus, it outperforms the accuracy of the sample median in the normal distribution.
