Sentence examples for false negative ratio from inspiring English sources

Theoretical performance analysis is conducted to evaluate false negative ratio, false positive ratio, and compensation efficacy of the SIS.

We evaluate the performance of our scheme both analytically and by simulations, which show that, at small overhead, the false positive ratio and the false negative ratio can both be made negligibly small.

We determine the values of control parameters, such as the sampling rate and window length, to minimize the false positive ratio, while keeping the false negative ratio sufficiently low and making the on-line processing possible.

Even though the world of biometric vocal identification constantly innovates and improves, there are still challenges and vocal identification solutions are still struggling with a bad false positives versus false negative ratio.

The detection of the non-parametric attacks has a higher false negative ratio, 85.20%, confirming the theoretical and simulation-based results reported in Section 4. The detection of the parametric attacks also confirms the results obtained via numeric simulations, leading to the highest false negative ratio (about 88.63%).

Table 4 shows that the detection of the replay attack has the lowest false negative ratio, 64.06%, hence, confirming that this adversarial scenario is the most detectable situation with regard to the detection techniques reported in [4,5].

Using leave-one-out cross-validation, the accuracy, sensitivity, specificity, and both false positive and false negative ratios of the proposed method were found to be 0.97, 0.98, 0.96, 0.04, and 0.02, respectively.

False negative ratios also increase when trying to discover small coding sequences as they lack splicing signals on either side of the single exon and show a decreasing signal-to-noise ratio as the size of the coding region decreases [ 30, 31].

Combination of H-FABP, which is released early, and a later marker such as TnT may reduce the false-negative ratio and provide an optimal diagnostic performance [34].

Interpretation of R j k requires considering three cases: R j k > 0 : H A is more probable than H0, with R j k being the expected logarithm of the true-positive to false-negative ratio for determining whether or not selection operated on the site.

False negative (FN) ratio, determining the number of samples where the detector fails at successfully alerting about the attacks.