Sentence examples for precision proportion from inspiring English sources

Sample size was calculated using single population proportion formula with an assumption of 95% confidence level, 5% degree of precision, proportion of dental careis, 47.1% and design effect of two.

We computed the trends of the precision (proportion of predicted orthologs that are true orthologs) and the recall (proportion of true orthologs that are correctly predicted) as a function of the true proportion of non-1-to-1 orthology relations, which increases as the gene duplication rate increases.

The evaluation measures consisted of precision (the proportion of mentions returned that are correct), recall (the proportion of correct mentions that are returned) and f-measure (the harmonic mean of precision and recall).

These two types of errors can be measures as precision (the proportion of matches found that were correct) and recall (the proportion of correct matches that were found).

The presented method gives good results in precision in proportion to the number of linearization points.

Even though, to provide more mathematical precision, the Proportion Test was used to evaluate whether there was any significant difference in the treatment protocol frequencies between each time interval.

We examined the sensitivity (the ability of the model to identify specific cases), specificity (the ability of the model to identify non-cases), and precision (the proportion of predicted cases that are correctly real cases) of model prediction for each time activity category.

The precision of proportions (95% confidence interval [CI]) was determined adjusting for the cluster sampling at health facility level.

Generally, precision is in proportion to the seed weight and recall in reverse proportion to the seed weight.

Precision quantifies what proportion of the detected events is correct while recall quantifies what proportion of the correct events is detected.

For a given score threshold τ, precision is the proportion of (known) "true" gene/term pairs among all gene/term pairs scoring above τ; recall is the proportion of "true" gene/term pairs scoring above τ among all possible "true" gene/term pairs.