background identification of a normal range for biomarkers, based on pregnancy outcomes (caused by their high or low values) is of special importance in clinical studies. as some pregnancy outcomes can happen in both high and low levels of biomarkers, the receiver-operating characteristic (roc) curve is unsuitable for identifying these levels separately; rather, a statistical method is preferab...

Many different metrics are used in machine learning and data mining to build and evaluate models. However, there is no general theory of machine learning metrics, that could answer questions such as: When we simultaneously want to optimise two criteria, how can or should they be traded off? Some metrics are inherently independent of class and misclassification cost distributions, while other ar...

ROC! is a deterministic rewrite strategy language which includes the rewrite rulesas basic operators, and the deterministic choice and the repetition as high-level strategyoperators. In this paper we present a method which, for a given term rewriting system(TRS) R, constructs a new TRS R such that R-rewriting is equivalent (sound and com-plete) with R-rewriting constrained by RO...