Sentence examples for based on true positive from inspiring English sources
True detection, false detection, and undetection are based on true positive, false positive, and false negative, respectively.
These criteria are calculated based on true positive (TP), true negative (TN), false positive (FP), and false negative (FN).
AUCROC is a composite measure based on true positive rate (recall) and false positive rate, defined as false positive rate = number of false positives total number of true absent edges, where a false positive was defined as an inferred directed edge that did not exist in the true network used to generate the expression data.
In the weekly approach sensitivity and specificity calculations were based on true-positive and true-negative flagged weeks.
In the daily approach sensitivity and specificity calculations were based on true-positive and true-negative flagged days that were in accordance with the officially pandemic or non-pandemic periods respectively.
For the clearest interpretation, statistics for binary markers should be based on true and false positive rates or predictive values based on the true prevalence – not odds ratios, relative risks, or predictive values based on the prevalence in the study A promising marker should have a high degree of accuracy in discriminating between subjects who are likely to get cancer from those who are not.
In the first and second levels, i.e. nucleotide and binding site levels, sensitivity, specificity, performance coefficient and F-measure are computed based on the true positive (TP), false positive (FP) and false negative (FN) information gathered by comparing the predicted and actual binding sites.
The initial evaluation of the selected eleven plant and animal specific tools were based on the true positive datasets obtained for the A. thaliana species.
This sensitivity estimate is based on 895 true positive hits as compared to the 1042 words used more than twice in Alice in Wonderland.
These measurements are based on counting true positives (TPi), the number of genes correctly assigned; false positives (FPi), the number of genes incorrectly assigned; false negatives (FNi) the number of genes incorrectly not assigned.
