Multi-class ROC analysis from a multi-objective optimisation perspective

Multi-class ROC analysis from a multi-objective optimisation perspective

The Receiver Operating Characteristic (ROC) has become a standard tool for the analysis and comparision of classifiers when the costs of misclassification are unknown. There has been relatively little work, however, examining ROC for more than two classes. Here we discuss and present a number of different extensions to the standard two-class ROC for multi-class problems. We define the ROC surfa...

A Fuzzy Multi-Objective Class Based Storage Location Assignment

The required storage space and the material handing cost in a warehouse hinge on the storage implementation decision. Effects of storage area reduction on order picking and storage space cost are incorporated. Moreover, merchandises which are in the same shape and can be stored beside each other easily or goods that don't cause any danger like causing a fire if be in touch with each other, ...

Multi-objective Binary Search Optimisation

Position Paper: Extensions of ROC Analysis to Multi-Class Domains

Receiver-operating characteristic (ROC) analysis has proven to be a powerful method for dealing with misclassification costs and skewed class distributions (Provost & Fawcett, 1998). In the typical representation, an ROC analysis evaluates false accept versus false reject rates for a set of candidate binary classifiers under all possible (linear) cost and prior class distribution assumptions. T...

Visualisation of multi-class ROC surfaces

The Receiver Operating Characteristic (ROC) has become a standard tool for the analysis and comparison of binary classifiers when the costs of misclassification are unknown. Although there has been relatively little work in examining ROC for more than two classes – there has been growing interest in the area, and in recent studies we have formulated it in terms of misclassification rates. Altho...