Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets

A new framework is proposed for comparing evaluation metrics in classification applications with imbalanced datasets (i.e., the probability of one class vastly exceeds others). For model selection as well as testing the performance of a classifier, this framework finds the most suitable evaluation m...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Fatourechi, M., Ward, R.K., Mason, S.G., Huggins, J., Schlogl, A., Birch, G.E.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Application software Biomedical computing Biomedical engineering Brain computer interfaces Computer interfaces Cost function Diseases evaluation metrics Machine learning performance evaluation Physics computing Testing
Online-Zugang:	Volltext bestellen
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