The phrase "accuracy of skill" is correct and usable in written English.
It can be used when discussing the precision or correctness of a particular skill or ability in a specific context.
Example: "The accuracy of skill in archery is crucial for hitting the target consistently."
Alternatives: "precision of ability" or "correctness of technique".
Figure 10 shows how combinations of different attributes from feature extraction and two driving skill classifiers contribute to the accuracy of driving skill classification.
Open image in new window Fig. 11 Accuracy of driving skill classification for segmented curve cases.
From these results, we can select curves with a smaller radius and a larger angular change to increase the accuracy of driving skill classification.
Open image in new window Fig. 13 Accuracy of driving skill classification of different radii of curves (angular change, IA = 90°) Open image in new window Fig. 14 Accuracy of driving skill classification with different radii of curves (angular change = 45°).
However, the accuracy of the skills is somehow depending on the quality of dictionaries.
They also displayed increased accuracy of their skills.
However, we cannot directly compare the accuracies of driving skill through the qualitative analysis of data for each segment in Fig. 11 because we use several different dimensionalities, with the components to use determined from the cumulative contribution ratio of the principal components.
In this paper, we use the leave-one-out method for evaluating the accuracy of the driving skill classification algorithms.
To evaluate whether using the direct observation of procedural skills (DOPS) tool improves the accuracy of students' performance for clinical skill assessment.
Furthermore, the participants gave positive feedbacks for anticipated accuracy, patient comfort, clinical usefulness, ease of skill acquisition, and interest in further use.
