Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis

Receiver operator characteristic (ROC) analysis has become a standard tool in the design and evaluation of two-class classification problems. It allows for an analysis that incorporates all possible priors, costs, and operating points, which is important in many real problems, where conditions are o...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2008-05, Vol.30 (5), p.810-822
Hauptverfasser:	Landgrebe, T.C.W., Duin, R.P.W.
Format:	Artikel
Sprache:	eng
Schlagworte:	2628 CD Delft Algorithm design and analysis Algorithms Applied sciences Area measurement Artificial Intelligence Character recognition Cluster Analysis Computational complexity Computer science control theory systems Confusion Costs Data Interpretation, Statistical Decomposition Delft University of Technology Mekelweg 4 Design methodology Design optimization Exact sciences and technology Fluctuations Information Storage and Retrieval - methods Intelligence Machine learning Mathematical analysis Matrix decomposition Pattern analysis Pattern Recognition, Automated - methods ROC Curve Studies T.C.W. Landgrebe and R.P.W. Duin are in the Information and Communication Theory Group The Netherlands
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