Sentence examples for measures including accuracy from inspiring English sources

A number of useful in medical applications performance measures including accuracy, sensitivity, specificity, and several interpretability measures are employed.

Among evaluation metrics, classical measures including accuracy, PPV, specificity, sensitivity, precision, and classification rate have been mostly used [55 58, 60 62, 65, 71, 73, 77].

Several performance measures including accuracy, sensitivity, specificity, and some number of interpretability measures are employed in order to evaluate the obtained systems.

Also, five performance measures including accuracy, sensitivity, specificity, matthew's correlation coefficient (MCC) and normalized percentage better than random (S) were used to evaluate the performance of models.

We here used a LOOCV approach with several performance measures including accuracy, sensitivity, and specificity.

When all groups were considered both in the HV and for each subject group, premature responding also did not correlate with Motivation Index (r = −.13 .16, p >.05) or with IQ, BDI, or task measures including accuracy, RT, late responses, or amount won (p >.05).

Individual differences measures included accuracy and response times on the card rotation and road map tasks, composite spatial sense of direction scores, and spatial strategy scores (egocentric, survey, cardinal).

Other outcome measures included accuracy (correct responses/[correct responses + incorrect responses]), correct trial RT (in Test block 1), late responses (late responses/[correct fast responses + late responses]), which correspond to errors of omission in the rodent paradigm, and total won.

The results also demonstrate the importance of including accuracy measures and variability measures to extend the sensitivity of the ANT to deficits that characterize children with an ADHD diagnosis.

We subsequently applied separate repeated-measures ANCOVA models including accuracy and latency, or SCR data with stimulus category (food, nonfood) and stimulus valence (neutral, disgust), as the two within-subject factors and group (controls, cocaine) as the between-subject factor.

The most commonly used performance measures including overall accuracy, kappa index, receiver operating characteristics (ROC), and area under the ROC curve (AUC) were employed to evaluate the accuracy of the models for classification.