$F_\beta$-plot -- a visual tool for evaluating imbalanced data classifiers

arXiv:2404.08709v1 Announce Type: new
Abstract: One of the significant problems associated with imbalanced data classification is the lack of reliable metrics. This runs primarily from the fact that for most real-life (as well as commonly used benchmark) problems, we do not have information from the user on the actual form of the loss function that should be minimized. Although it is pretty common to have metrics indicating the classification quality within each class, for the end user, the analysis of …

abstract arxiv benchmark beta classification classifiers cs.lg data data classification form information life metrics plot tool type visual