The phrase "average of specificity" is correct and usable in written English.
It can be used in contexts where you are discussing statistical measures or characteristics of a dataset, particularly in fields like medicine or machine learning.
Example: "The average of specificity across the different tests was calculated to determine their overall effectiveness."
Alternatives: "mean specificity" or "typical specificity value".
bInitial criterion for cutoff (Specificity + Sensitivity) ½ is the average of specificity and sensitivity cAdjusted criterion for cutoff (Specificity+ Sensitivity) ½ is the sum of average of square of specificity and sensitivity.
The R package Catnet (http://cran.r-project.org/web/packages/catnet/index.html), a categorical Bayesian network inference framework was used to systematically assess the structural similarities between the lactation and pup-free networks by computing the F-score, which represents the harmonic average of specificity and sensitivity, and accounts for inter-structural edge appearances/disappearances.
Now, for a single k, we take the average of sensitivity for all queries as the estimated sensitivity for k, the average of specificity for all queries as the estimated specificity for k, and draw a ROC curve for the estimated sensitivity versus the estimated specificity (Fig. 3a).
The average values of specificity and sensitivity achieved by our program, at both nucleotide and exon levels, are shown in the first line of Table 2.
Table 4 Average values of specificity and sensitivity, in both nucleotide and exon levels, achieved by Exon_Finder2 on the second benchmark Tool (mathrm{Sp_n}) (mathrm{Sn_n}) AC (mathrm{Sp_e}) (mathrm{Sn_e}) (A_v) Exon_Finder2 0.88 0.92 0.87 0.53 0.70 0.62.
With respect to assignment specificity, it is observed that SOrt-ITEMS has the highest average value of specificity 78-944%) in both database scenarios.
Despite the importance of knowing the specificity, analysis of the specificity of outbreak detection algorithms has been rudimentary, and it is common practice to report one average value of specificity that is assumed to reflect the true specificity on any day of the year or week.
For most families of transcription factors the best available methods utilize k-nearest neighbor (KNN) algorithms to make specificity predictions based on the average of the specificities of the k most similar proteins with defined specificities.
Sensitivity, specificity, average of sensitivity + specificity, likelihood ratios, and predictive values were determined using non-parametric receiver operating characteristics analysis.
In addition to the commonly used performance measures (overall accuracy, sensitivity and specificity), the average of sensitivity and specificity or the so-called prediction strength [ 24][ 25] was also used for classifier comparison in this study.
The fold-change cutoff criteria for a positive hit in the C. elegans assay was iteratively increased from the lowest observed value in the assay to the highest, and sensitivity (true positive rate), specificity (true negative rate), and balanced accuracy (the average of sensitivity and specificity) were calculated for each cutoff value.
