The phrase "accuracy of a candidate" is correct and usable in written English.
It can be used in contexts such as evaluating the precision or correctness of a candidate's responses, qualifications, or performance.
Example: "The accuracy of a candidate's answers during the interview will be a key factor in our decision-making process."
Alternatives: "candidate's precision" or "candidate's correctness".
A prime requirement for protein structure prediction is the ability to assess the accuracy of a set of candidate protein conformations.
In conclusion, the additive-genetic relationships between training individuals and a selection candidate must be known in order to provide a reliable GEBV accuracy of that candidate in practical application.
Although until now, the accuracy of most candidate sets of approximate positions (solutions) found by a search algorithm is not as precise as it is supposed to be; it does provide an efficient way to find out a good drug molecule which is not validated yet by a laboratory.
The accuracy of each candidate algorithm is presented in Table 2. Simple presence of an ICD9 for acute hepatitis B without regard to any other criteria had a positive predictive value of 0% (0/50 cases, 95% confidence interval 0 6%).
Additive-genetic relationships between the training individuals and a selection candidate captured by SNPs affect the GEBV accuracy of that candidate.
An AU-ROC=0.5 means that the discriminatory accuracy of the candidate risk factor is similar to that obtained by flipping a coin.
Briefly, MDR evaluates candidate models based on all possible combinations of a given number of SNPs and applies a naive Bayes classifier with cross-validation to estimate the testing accuracy of each candidate model.
Habier et al. [ 11] showed that DGV use realized genetic relationships among individuals to increase the accuracy of DGV (i.e., the accuracy of a DGV on a selection candidate decreases as the average genetic relationship to the training set individuals decreases).
The accuracy of the candidate correlations are performed in terms of the two widely used statistical indicators, mean bias and root mean square errors; standard deviation, standard error and F-test, were also introduced.
