Sentence examples for mean specificity of from inspiring English sources

The algorithm for detecting mobility activities attained a mean specificity of 89.2% and sensitivity of 87.2% over the four activities; the algorithm for quantifying the number of personnel involved attained a mean accuracy of 68.8%.

We found that a strong pooled mean sensitivity of 90%[95%% confidence interval (CI), 84-94] and a weaker pooled mean specificity of 82% (95% CI, 70-90) for motor-evoked potential (MEP) recording changes.

The results of this testing yielded a mean specificity of 99.7% and an accuracy of 92.2%.

Additionally, the mean specificity of the two models was > 65%.

The mean specificity of MRI-visible nerve involvement in the same segment ranged from 61-77%.

The mean specificity of the predictors was 98%, ten of which provided a specificity of 100%.

Using a Gaussian kernel PCA resulted in mean sensitivities of 86.51% and 87.88% and mean specificities of 63.99% and 56.83% for LDA and SVM, respectively.

Using a standard PCA before final Gleason score classification resulted in mean sensitivities of 51.19% and 64.37% and mean specificities of 72.71% and 39.90% for LDA and SVM, respectively.

The mean sensitivities of the classifiers with Gaussian kernel PCA were statistically significantly higher while the mean specificities of them were slightly lower when all feature elimination iterations were applied.

In this study, mean sensitivities of 81.59%, 83.38%, 55.72%, and 58.16% and mean specificities of 70.09%, 68.36%, 67.55%, and 47.87% were attained for LDA with Gaussian kernel PCA, SVM with Gaussian kernel PCA, LDA with standard PCA, and SVM with standard PCA, respectively, when feature elimination was not performed.

The meta-analysis by Mitchell et al. also reported a mean specificity for colposcopy of 48%, and this figure was used in the model [ 117].