Measuring the Certainty of a Decision Rule with Applications in Electrocardiography

Abstract

SummaryAs an extension of recent work, several types of uncertainty involved in a decision process are further clarified in this paper. The concept of allocation with ß-confidence and the ß-doubt matrix are illustrated by two electrocardiographic data sets. These data sets illustrate the importance and the novelty of the above concepts. We argue for augmenting the classical correct classification rate with an interval estimate. We think that interval estimates are essential in the area of prediction modelling to refrain the user from being too optimistic.