Sentence examples for accuracy cutoff from inspiring English sources

We identified the top 50 discriminative ego-networks by setting the accuracy cutoff at 0.9.

The FDR estimate for any given accuracy cutoff was computed as FDR = FP/TP, where FP represents the false positive estimate at the selected accuracy cutoff, and TP represents the total positives (pairs above the selected accuracy cutoff observed in the dataset under consideration).

Utilizing the digital nature of our sequencing, we select genes that have at least 100 reads (hits) within the canonical mRNA transcript, as an accuracy cutoff.

This accuracy cutoff level of 60% allows to capture even weak relations often resulting from noise in input data such as wrong gene calling.

Though many phenotypes (more than 55%) were classified with accuracy above 80%, we used a 60% classification accuracy cutoff to accommodate noise in input data such as wrong gene calling or imbalance in phenotype data.

7.5% of the patients had GCS < 8. GCS = Glasgow Coma Scale; ISS = Injury Severity Score; SBP = Systolic Blood Pressure; RR = Respiratory Rate; PR = Pulse Rate As is seen in Table 2 ANN significantly outperformed logistic models in both senses of discrimination and calibration, although from the standpoint of accuracy (cutoff point 0.5), logistic models were superior to ANN models.

Analysis of accuracy by cutoff value indicated that ~50-55 U represent the best cutoff values for detection of RC (Fig. 2B) Since a major goal in screening tests is the minimization of false-negative rates, we identified an electromagnetic threshold, i.e., < 70 U, at which no RC was missed (Table 2).

Before comparison of diagnostic accuracy, optimal cutoff value of T/N ratio was defined in all lesions without MTV correction (non-corrected cutoff value), for which T/N ratio of 1.61 provided the best sensitivity, specificity, and diagnostic accuracy (70.6, 80.8, and 74.0%, respectively) (Table 3).

In the proposed method, wavelet theory is used to extract noise information which enhances the accuracy of cutoff frequency calculation and improves filtering performance.

The receiver operating characteristic curve (ROC) was utilised to determine diagnostic accuracy, optimal cutoff values, areas under the curve (AUC) and sensitivity and specificity.

The quality of integration accuracy and orbital cutoff were set at fine which approximately ~ 0.1 eV/atom.