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Testing for the difference in sensitivities of binary classifiers using survival analysis
(Strathmore University, 2017)
Sensitivity is an important measure of the performance of a binary classifier in a disease control program among populations at risk. Where one has to choose between binary classifiers, on basis of their sensitivities, a ...
Comparison of binary diagnostic predictors using entropy
(Strathmore University, 2017)
The use of gold standard procedures in screening may be costly, risky or even unethical. It is usually therefore, not admissible for large scale application. In this case, a more acceptable diagnostic predictor is applied ...