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Overall, jitter affected only slightly the performance of specificity classifiers irrespectively of the type of the stimulus (Figure 4A D, left).
The general situation, therefore, does not lend itself to the performance of specificity studies.
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Moreover, it exhibits good performance of excellent specificity, high stability, and acceptable fabrication reproducibility.
An initial validation study using COP to predict shock outcome from the patient data set resulted in a performance of 60% specificity achieved at 100% sensitivity on a blind test of the data.
For drifting sinusoidal gratings, the performance of the specificity classifier was high across the whole range of explored time constants (Figure 3D, green line).
The optimized method demonstrated good performance in terms of specificity, LLOQ, linearity, recovery, precision and accuracy, and was successfully applied to quantify WM-5 in mouse plasma to support the pharmacokinetic study.
This test, however, has relatively low performance in terms of specificity and sensitivity [ 34].
The combination of functional and antigen assays has the highest performance in terms of specificity and sensitivity [ 3].
The area under the ROC curve (AUC) was chosen to measure classifier performance in terms of specificity and sensitivity values.
The performances of the Specificity and Precision Terms Filters were similar with the former being consistently marginally better in terms of overall precision and specificity for both databases separately and in combination, while sensitivity was the same.
To evaluate the performance of classification, sensitivity, specificity, and accuracy are calculated as follows.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com