Sentence examples for threshold the accuracy of from inspiring English sources

In addition, quality evaluation of the search results is essential in understanding the basic aspects of the elemental composition search, including setting a suitable threshold, the accuracy of MS analysis required for reliable searching, and the types of elemental composition databases that will provide the most reliable results.

For OE whisperers, the accuracy of the test was unchanged at the 43 dB HL threshold (90%), while at the 30 dB threshold the accuracy of the test was reduced from 59%to47%7%.

For YI whisperers at the 43 dB threshold, the accuracy of the test increased from 44%to54%4%, and at the 30 dB threshold, accuracy increased from 67%to75%5%.

While the ability of the ESI to capture shorter term droughts is equal or superior to the Palmer Drought Severity Index (PDSI) when characterizing droughts based on soil moisture and streamflow thresholds, the accuracy of the ESI was less efficient in the case of severe droughts.

Figure 2B shows that increasing the MPI threshold increased the accuracy of the system, with a threshold of 0.95 causing the vocal signal to correctly be assigned to the real mouse 97.0% of the time.

Generally, threshold affects the accuracy of edge localization, and additional edge tracking increases complexity.

For example, increasing distractor saliency from just above perceptual threshold improved the accuracy of healthy participants on a color discrimination task [33].

As expected, the number of gene pairs authorizing a functional transfer (x-axis) increases with the ξ threshold, while the accuracy of the method decreases.

This is repeated for interactions between genes in (B \ A) and genes in (A ∩ B), allowing us to assess the effect of altering the similarity threshold on the accuracy of the resulting predictions.

In the context of molecular docking, these results demonstrate the importance of considering side-chain flexibility and define a natural threshold for the accuracy of rigid docking algorithms tested on an unbiased non-redundant dataset.

However, as long as its model assumptions are valid, our mixture method can make corrections in AEI calls once more data or information becomes available, which is not the case for the predetermined thresholds where the accuracy of AEI classification criterion cannot be improved regardless how much additional data is collected.