The phrase "accuracy or performance" is correct and usable in written English.
It can be used when discussing the quality or effectiveness of a process, system, or measurement, often in contexts like technology, research, or evaluation.
Example: "When assessing the new software, we need to consider both accuracy or performance to determine its overall effectiveness."
Alternatives: "precision or efficiency" or "correctness or effectiveness".
However, these researchers evaluated the accuracy or performance of the system, but they did not evaluate the feeling of control.
Although as it was designed as part of a larger system that was primarily intended to encode audio for compression, no onset-detection accuracy or performance results are given by the authors.
(ii) MWEM algorithm This algorithm is designed to improve the accuracy or performance of linear queries by some expert learning techniques of the answer given to the queries from the data analyst in such circumstances when conventional mechanisms for achieving ε-differential privacy add unacceptable levels of noise.
The prediction accuracy or performance is defined as the product of the sensitivity and specificity.
We conclude that the added value of having a modular tool is not at the cost of accuracy or performance; hence, Pyicos provides a useful framework for the analysis and integration of heterogeneous HTS data.
Additionally, performance regressors were added to the model in order to test whether modifications of neuronal activity in navigation related areas were linked to behavioral performance (navigation accuracy or recognition performance).
The results of our univariate ANOVAs for 0-back-and 3-back-accuracy or-d' performance indicated no significant main effects of rMT or gender and no significant interaction between rMT and gender.
If they don't do a good job they will be ranked low — whether there is translation accuracy or slow performance, not on time performance, so that itself we think it's a very important driving factor for improved quality," he says.
Results from those metrics showed that accuracy or prediction performance calculated traditionally using accurately predicted records divided by the total number of records in the dataset does not necessarily give the best indicator of a good metric or algorithm predictability.
We use k-fold cross validation to estimate the model's accuracy or compare performances of two classification algorithms.
Comparison of geometric accuracy or treatment planning performance can be hard to interpret and may not provide much useful information.
