The phrase "accuracy optimal" is not standard in written English and may sound awkward.
It could be used in contexts discussing the best possible accuracy in a specific situation, but it would be clearer to rephrase it.
Example: "To achieve accuracy optimal for our research, we need to refine our data collection methods."
Alternatives: "maximum accuracy" or "ideal accuracy".
That is, in addition to dependency upon N and the desired accuracy, optimal order depends upon the configuration of the bodies at any instant.
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).
The target accuracy, optimal accuracy, and step were initialized to 1, 0, and 0.05, respectively.
The receiver operating characteristic curve (ROC) was utilised to determine diagnostic accuracy, optimal cutoff values, areas under the curve (AUC) and sensitivity and specificity.
Numerical examples show that the proposed method can achieve high-quality and high-accuracy optimal solutions comparable to those obtained with fixed globally fine analysis meshes and fine distributed density points, but with much less computational cost.
Identifying the maximum-accuracy (optimal) model involves computing the effect strength for sensitivity (ESS) that is obtained by using every possible cut-point (or assignment rule) to classify sample observations.
Table 6 Automatic clustering results of data 4 Data set CritC Clustering accuracy The optimal clustering number (k) The optimal scale parameter Data 3 0.234 0.9167 11 0.1346 Open image in new window Fig. 11 The diagnosis result.
If the convergence has reached a given accuracy, an optimal solution has been found for an optimization problem. .
Color calibration hardware and software was used to optimize the monitor's color profile for accuracy and optimal contrast given the room's lighting environment.
The algorithm utilizes the sub-dividing strategy to guarantee the accuracy of optimal solutions.
The proposed framework exhibits superior computational efficiency and guarantees, up to modeling accuracy, globally optimal wavelength assignment.
