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When the Virtual CNC is assembled, its performance can be tested using frequency and time domain response analyses, which are automated.
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The system performance is tested using MUSHRA-based subjecteststests.
Performance of AdaBoost.M2 model is tested using various performance measures.
Conclusions Clinical and actuarial approaches to assess violence risk can be improved if included risk factors are tested using multiple measures of performance.
In the case of a binary predictor diagnostic test, performance can be evaluated using the measures of sensitivity and specificity.
This claim asserts propositions concerning the financial performance and stock returns of firms that can be directly tested using objective and publicly available financial data.
If sufficient diagnostic performance can be obtained from this test it may be possible to perform sensitive and specific tumour-based testing for LS purely using IHC and avoiding the cost of molecular genetic tests.
However test performance can be assessed indirectly by employing a gradient of exposure or by using active TB as a proxy for measuring sensitivity to LTBI [8], [9].
Test performance can be seen in Table 2.
Association to driving performance was then tested using linear regression.
Using the above strategies, the classification performance can be improved.
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