Results 1 to 10 of about 2,712,658 (73)
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Measures of test performance and predictive values
American Journal of Obstetrics and Gynecology, 1990openaire +2 more sources
Predictive value of mutagenicity tests in chemical carcinogenesis
Mutation Research/Environmental Mutagenesis and Related Subjects, 1976openaire +3 more sources
On the use of test smells for prediction of flaky tests [PDF]
, 2021 Regression testing is an important phase to deliver software with quality. However, flaky tests hamper the evaluation of test results and can increase costs. This is because a flaky test may pass or fail non-deterministically and to identify properly the flakiness of a test requires rerunning the test suite multiple times.
arxiv +1 more source
Predictive value of serologic tests. [PDF]
American Journal of Public Health, 1983 An analysis of serologic tests for treponemal disease performed in Australian aboriginal communities is used to illustrate factors influencing the predictive value positive of serologic tests. Simple extrapolation of predictive value estimates, from prevalence, sensitivity, and specificity data, is complicated by variation of specificity between ...
openaire +3 more sources
Statistics Notes: Diagnostic tests 2: predictive values [PDF]
BMJ, 1994 The whole point of a diagnostic test is to use it to make a diagnosis, so we need to know the probability that the test will give the correct diagnosis. The sensitivity and specificity1 do not give us this information. Instead we must approach the data from the direction of the test results, using predictive values.
J M Bland, Douglas G. Altman
openaire +3 more sources
Testing the necessity of complex numbers in traditional quantum theory with quantum computers [PDF]
Am. J. Phys. 93, 110-120 (2025), 2022 A recent experiment testing the necessity of complex numbers in the standard formulation of quantum theory is recreated using IBM quantum computers. To motivate the experiment, we present a basic construction for real-valued quantum theory. The real-valued description is shown to predict correlations identical to those of complex-valued quantum ...
arxiv +1 more source
Comparative Study of Machine Learning Test Case Prioritization for Continuous Integration Testing [PDF]
arXiv, 2022 There is a growing body of research indicating the potential of machine learning to tackle complex software testing challenges. One such challenge pertains to continuous integration testing, which is highly time-constrained, and generates a large amount of data coming from iterative code commits and test runs.
arxiv
Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout [PDF]
, 2019 While the use of deep learning in drug discovery is gaining increasing attention, the lack of methods to compute reliable errors in prediction for Neural Networks prevents their application to guide decision making in domains where identifying unreliable predictions is essential, e.g. precision medicine. Here, we present a framework to compute reliable
arxiv +1 more source
Predictability Tests Robust against Parameter Instability [PDF]
arXiv, 2023 We consider Wald type statistics designed for joint predictability and structural break testing based on the instrumentation method of Phillips and Magdalinos (2009). We show that under the assumption of nonstationary predictors: (i) the tests based on the OLS estimators converge to a nonstandard limiting distribution which depends on the nuisance ...
arxiv