The kappa statistic is commonly used for quantifying inter-rater agreement on a nominal
scale. In this review article we discuss five interpretations of this popular coefficient. Kappa is …

Even if measuring the outcome of binary classifications is a pivotal task in machine learning
and statistics, no consensus has been reached yet about which statistical rate to employ to …

Assessing the classification performance of ordinal classifiers is a challenging problem
under imbalanced data compositions. Considering the critical impact of the metrics on the …

Background At present, immune checkpoint inhibitors, such as pembrolizumab, are widely
used in the therapy of advanced non-resectable melanoma, as they induce more durable …

This article introduces A2EPG, a new software application capable of automatically analyse
signals derived from the electrical penetration graphs (EPG), a technique widely used to …

Experimental evidence suggests that crowdsourced online experiments, where suitable,
may produce better data than in-lab studies. The absence of a reliable screening method for …

This study examines the spiritual and religious engagement of young people in high-risk
neighborhoods to uncover their role as internal protective mechanisms against substance …

Streptococcus mutans is a bacterium that plays an important role in the process of caries.
These bacteria can produce glucosyltransferase (GTF) enzymes which can change the …

Although the bulk of Corrado Gini's career predated the beginnings of the field of regional
science and recent developments in spatial econometrics, his ideas and contributions have …

This research uses Cohen’ s Kappa to examine the performance of students in the
Faculty of Science, University of Ilorin. The data was collected from eight departments in the …