The phrase "accuracy for the core" is correct and usable in written English.
It can be used in contexts where you are discussing the precision or correctness of fundamental elements or components of a system, process, or concept.
Example: "In our analysis, we must ensure accuracy for the core metrics that drive our business decisions."
Alternatives: "precision for the fundamentals" or "correctness for the essentials".
The implementation of the approved CXRS diagnostic principle on ITER faces significant challenges: First, a comparatively low CXRS signal intensity is expected, together with a high noise level due to bremsstrahlung, while the requested measurement accuracy and stability for the core CXRS system go far beyond the level commonly achieved in present-day fusion experiments.
The new Android version offers a new layout with a repositioned backspace and shift key, which have been moved due to user feedback (it's a toggle option, too, so if you're used to the way things were you can keep them that way), a new language selection option for the minimal Fleksy layout, and better accuracy in the core Fleksy engine for automatic word correction.
The distribution of both methods' accuracy over all target template pairs in the 'easy' test set is shown in Figure 2. > -wrap-foot> On average, our method outperforms Modeller on the entire test set, in terms of accuracy, by 0.60 Å RMSD for the core model and by 0.54 Å RMSD for the high-accuracy model.
The monkey data suggest that significant classification accuracy is a useful marker for the core auditory field A1, and, to a lesser degree, also R. From Monkey 2, sufficient data were available to conduct a classification analysis for 6 sound frequency conditions (Fig. 2 H) in addition to a high- versus low-frequency classification (Fig. 2 C).
On our 'easy' dataset, the difference in average modelling accuracy between the methods is the most visible, with 0.71 Å versus 1.46 Å RMSD for the core model and 0.93 Å versus 1.56 Å RMSD for the high-accuracy model.
The overall sensitivity, specificity, and accuracy for core needle biopsy were 91%, 100%, and 92%, respectively (Table 1).
To determine whether a combination of the weight variables could be defined that improved the predictive accuracy for incident diabetes of the core model, expanded models that included additional weight variables besides the covariates in the core model were selected, and the predictive ability of different models was assessed considering both statistical significance and clinical importance.
