The phrase "accuracy of the baseline" is correct and usable in written English.
It can be used when discussing the precision or correctness of a reference point or standard in a particular context, such as research or data analysis.
Example: "The accuracy of the baseline is crucial for ensuring the validity of our experimental results."
Alternatives: "precision of the baseline" or "correctness of the baseline".
Definition of the grid step is based on the required accuracy of the baseline calculation.
Privacy under grouping increases, while preserving the accuracy of the baseline scenario.
The overset implementation is constructed to preserve the design accuracy of the baseline DG discretization.
Table 3 displays the average accuracy of the baseline data for each of the 15 files where D-MIAT generated cuts which are noted in Table 2.
Third, we compared the accuracy of the baseline datasets (A) to the discretized datasets (D) from the 10 algorithms previously considered [11], using the training and testing data from that paper.
To determine if the accuracy of the baseline prediction model for the development of primary open-angle glaucoma (POAG) in patients with ocular hypertension can be improved by correcting intraocular pressure (IOP) for central corneal thickness (CCT).
Due to this, the accuracy of the baselines is negatively affected.
The error estimates at the observatories for H and Z components vary from 1 nT at HER to 1.5 nT for a remote location such as TSU or KMH, depending on the accuracy of the baselines.
Error estimates for observatory values for H and Z components vary from 1 nT at HER to 1.5 nT for a remote location such as TSU or KMH, depending on the accuracy of the baselines.
We extracted data on the diagnostic accuracy of the studies, the baseline characteristics of studied patients (e.g., disease duration, age at imaging, Hoehn and Yahr score, and Unified Parkinson's Disease Rating Scale score).
Firstly, in order to assess the accuracy of the models, the baseline data from the Indian TCEs were used to obtain predictions of response or failure which were then compared to the responses (follow-up viral loads) observed in the clinic.
