Sentence examples for model specificity from inspiring English sources

Furthermore, focusing on children with suspected SBI rather than all children with serious illness allowed inclusion of clinical risk factors specific to infection, and may have helped improve model specificity.

For model specificity, the specificity of FSP + CVHI + inflammatory cytokine model alone exceeded 90%.

The x axis of the ROC plot represents the false-positive error rate, which is equal to 1 minus the model specificity, where the model specificity is the class prediction accuracy of nonignitions.

Model specificity emerges from the DBS, so that model execution is carried out by the statecharts executing with the aid of specific data extracted from the DBS dynamically.

The ROC curve technique is based on plotting model sensitivity, true positive fraction values calculated for different threshold values versus model specificity, true negative fraction values on a graph (Deleo 1993).

The class prediction accuracy of fire ignitions is also known as the model sensitivity or the true-positive rate (TPR), while the class prediction of nonignitions is also known as the model specificity or the true-negative rate (TNR).

This is likely due to variability in animal sepsis models, specificity of beta-receptor blockade, dosage and timing of treatment [ 20].

In considering the corresponding region of the ROC curve with sensitivity >0.9, while both the haplotype risk model and the GRS14 model had overall slightly higher specificity than the zygosity status, the greatest increase in specificity was observed for the GRS-DQ2.5 and GRS-DQ2.5-imputed models (specificity of 0.29 and 0.32, respectively, compared with specificity = 0.15 for the GRS14).

In these models, specificities such as connectivity and architecture of the heterogeneous neuronal population are at least as important as the individual neuronal dynamics in shaping the population's computational power.

For predictive purposes, PLS1 models were constructed for individual Y variables to increase model-specificity and reliability.

For the male classification model, the specificity was 90.3% and the bootstrapped sensitivity was 51.0%.