Nathalie Japkowicz

The class imbalance problem: A systematic study1

In machine learning problems, differences in prior class probabilities -- or class imbalances -- have been reported to hinder the performance of some standard classifiers, such ...

A Multiple Resampling Method for Learning from Imbalanced Data Sets

Resampling methods are commonly used for dealing with the class‐imbalance problem. Their advantage over other methods is that they are external and thus, easily transportable. A...

Class imbalances versus small disjuncts

It is often assumed that class imbalances are responsible for significant losses of performance in standard classifiers. The purpose of this paper is to the question whether cla...

Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation