In the Netherlands, potential damage to building stock due subsidence phenomena has recently received increased awareness. However, evaluating and predicting buildings in subsiding areas is a complex task that requires associating vulnerability of exposed structures with intensity hazard. Considering widespread presence subsidence-related built heritage, focus this study provide empirical-based...

Receiver operating characteristic (ROC) analysis is a widely accepted method for analyzing and comparing the diagnostic accuracy of radiological tests. In this paper we will explain the basic principles underlying ROC analysis and provide practical information on the use and interpretation of ROC curves. The major applications of ROC analysis will be discussed and their limitations will be addr...

Precision-recall (PR) curves and the areas under them are widely used to summarize machine learning results, especially for data sets exhibiting class skew. They are often used analogously to ROC curves and the area under ROC curves. It is known that PR curves vary as class skew changes. What was not recognized before this paper is that there is a region of PR space that is completely unachieva...

ROC curves are a popular method for displaying sensitivity and specificity of a continuous diagnostic marker, X, for a binary disease variable, D. However, many disease outcomes are time dependent, D(t), and ROC curves that vary as a function of time may be more appropriate. A common example of a time-dependent variable is vital status, where D(t) = 1 if a patient has died prior to time t and z...

BACKGROUND Syndromic surveillance systems can potentially be used to detect a bioterrorist attack earlier than traditional surveillance, by virtue of their near real-time analysis of relevant data. Receiver operator characteristic (ROC) curve analysis using the area under the curve (AUC) as a comparison metric has been recommended as a practical evaluation tool for syndromic surveillance system...

The t-test is as defined in the previous lecture. It has slope 1/σ. The Mann-Whitney test rejects if 1 nm ∑ i,j I(Xi ≤ Yj) is large. Note. The Mann-Whitney statistic has a relationship with the area under the ROC curve (AUC) for classification algorithms with a tunable parameter. The ROC plot has one axis for proportion of false positives and one axis for proportion of true positives; as we mov...