Sentence examples for on which accuracy from inspiring English sources

CAT can improve the terms on which accuracy and efficiency are traded off.

Depending on which accuracy statistic is used, offset values of 10, 20 or 30 meters can be considered optimal, with slightly higher positional errors for offset values of 0, 40 and 50 meters.

Our study has some limitations, mainly because of its reliance on hospital discharge data for which accuracy depends on the quality and consistency of coding by participating hospitals.

The cutoff points on the ROC curves, at which accuracy of MCI detection is maximal, were selected.

The results show that the calculated temperature values had good agreement with the measure ones, based on which the accuracy of material parameters and boundary conditions were validated.

Thus there is available a large amount of power to effect necessary variations of the controlled quantity and to ensure that the operations of varying the controlled quantity do not load and distort the signals on which the accuracy of the control depends.

Figures 10, 11, 12 and 13 illustrate the source data of the experimental results based on which the accuracy and matching are computed.

To determine the feature of a trait on which the accuracy of WGP can be improved, we calculated the genetic variance explained by each marker as 2 p (1 − p ) α 2, where p and α are the allele frequency and the estimated allele substitution effect for the marker under consideration.

This would, in turn, lead to inflated, and potentially misleading, estimates of accuracy on which clinical practice and preventive care guidelines are generally based.

This could result in inflated estimates of accuracy on which clinical practice and preventive care guidelines are often based, a problem that takes on greater importance as the rate of diagnosed and treated depression in the population increases.

From this independent validation set of 1669 samples from 9 primary sites we could derive the point mutation and trinucleotide frequency feature sets, based on which our model achieved accuracy slightly lower than expected from the test set, yet still substantially higher than random classification (Fig.  5a).