Sentence examples for mean of sensitivity from inspiring English sources

So even a model predicting all the patients as NT1 can yield an accuracy of 0.85 and a sensitivity of 1 but a specificity of 0. In this case, Kappa and the balanced accuracy (i.e., the mean of sensitivity and specificity which is 0.609 here) are better metrics to evaluate our new model as a poor classifier for NT1 and NT2.

Balanced accuracy (BA) is the arithmetic mean of sensitivity and specificity and represents a trade-off between the two values.

Finally, we use the geometric mean of sensitivity and specificity (GMean), to summarize prediction accuracy over both the true positive as well as the true negative rates.

Taking into account an overall assessment in the sense we take the arithmetic mean of sensitivity (75.50 %) and specificity (92.75 %), we find reasonable results that encourage us to seek improvements in this study.

The performance of the proposed models was evaluated by calculating the overall accuracy of prediction, sensitivity, specificity, non-error rate (arithmetic mean of sensitivity and specificity) [38, 39], and Matthews correlation coefficient (MCC) [40].

G-mean is the geometric mean of sensitivity and specificity.

The robustness of the estimates was assessed by means of sensitivity analyses.

Under these conditions, the model can provide valuable insight by means of sensitivity analyses.

In this paper we present a comparison of two different pumping test configurations by means of sensitivity coefficients.

Then, the model is used to investigate the individual contributions of each input by means of sensitivity analysis.

By means of sensitivity analysis, knowledge gaps related to lack of data can be dealt with easily, due to the limited amount of scenarios to be investigated.