The phrase "accuracy negative" is not standard in written English and may cause confusion.
It could be used in specific contexts, such as technical or scientific discussions, to indicate that the accuracy of a measurement or result is below an acceptable threshold.
Example: "The test results showed an accuracy negative, indicating that the device failed to meet the required standards."
Alternatives: "negative accuracy" or "inaccurate results".
Using the best cutoff score (less than 4.2), presence of significant fibrosis (F2 to F4) could be excluded with high accuracy (negative predictive value of 96%) in 125 (36%) of 351 patients.
The ESS is the mean sensitivity obtained by the model across class categories which standardizes, using a 0 100% scale, where 0% is the level of accuracy expected by chance and 100% is the perfect accuracy; negative values indicate lower accuracy than expected by chance.
Sensitivity, specificity, accuracy, negative predictive values of MRI and 95% confidence intervals of the estimated values were calculated using arthroscopic findings as reference standard.
Sensitivity, specificity, accuracy, negative and positive predictive values, and corresponding 95% confidence intervals (CI) using Wilson's score interval were calculated for the ability of MRI to detect full-thickness rotator cuff tears.
In 311 patients with operable rectal cancer who were shortly due to undergo surgery, the MERCURY trial showed that preoperative MRI has high accuracy, negative predictive value and specificity in the identification of a potentially involved CRM MERCURY Study Groupp, 2006).
While EASE-MM did not improve on EASE-AA2's specificity (the accuracy on negative examples), negative predictive value was improved.
These results indicate that, to significantly increase the accuracy of negative results (i.e., the negative predictive value) the test should be performed at least twice in infected herds.
This contributed to the improved accuracy in negative predictions by increasing the number of true negatives.
a Training times, b One-class accuracy, c negative prediction value, d (F_1) score.
In addition, positive adjustments, which involved adjusting the forecast upwards, were much less likely to improve accuracy than negative adjustments.
To analyze how parameter (delta ) affects the one-class accuracy and negative prediction value, we conduct the experiment where (delta ) is varied and other parameters are kept fixed.
