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Measuring classifier performance: a coherent alternative to the area under the ROC curve

JOURNAL ARTICLE published October 2009 in Machine Learning

Authors: David J. Hand

Measuring Classifier Performance: On the Incoherence of the Area under the ROC Curve and What to Do about It

BOOK CHAPTER published 19 December 2011 in Statistical Learning and Data Science

Optimising area under the ROC curve using gradient descent

PROCEEDINGS ARTICLE published 2004 in Twenty-first international conference on Machine learning - ICML '04

Authors: Alan Herschtal | Bhavani Raskutti

Figure 2: BCD with support vector machine classifier: ROC curve and confusion matrix.

COMPONENT published

Figure 4: Performance analysis of different machine learning models on receiver operating curve (ROC).

COMPONENT published

Figure 2. Area under the ROC curve

COMPONENT published

Figure 6: BCD with Kernel support vector machine classifier: ROC curve and confusion matrix.

COMPONENT published

Hinge Rank Loss and the Area Under the ROC Curve

BOOK CHAPTER published in Machine Learning: ECML 2007

Authors: Harald Steck

Figure 4: Area under the ROC curve of different methods.

COMPONENT published

Extension of ROC curve

PROCEEDINGS ARTICLE published September 2009 in 2009 IEEE International Workshop on Machine Learning for Signal Processing

Authors: Takashi Takenouchi | Shinto Eguchi

The use of the area under the ROC curve in the evaluation of machine learning algorithms

JOURNAL ARTICLE published July 1997 in Pattern Recognition

Authors: Andrew P. Bradley

Figure 2: Area under the ROC curve of the scoring system.

COMPONENT published

Supplemental Information 2: The receiver operating characteristic curve (ROC) and the threshold independent area under the ROC curve (AUC) values of the SDM

COMPONENT published

Figure 3: The ROC curve of each machine learning model.

COMPONENT published

Appendix 6—figure 2. Sample ROC curves (gray).

COMPONENT published

Feature Selection for Maximizing the Area Under the ROC Curve

PROCEEDINGS ARTICLE published December 2009 in 2009 IEEE International Conference on Data Mining Workshops

Authors: Rui Wang | Ke Tang

Figure 4: AUC ROC curve analysis of nine machine learning algorithms.

COMPONENT published

Figure 13. ROC-curve for the developed classifier

COMPONENT published

Area Under Curve

BOOK CHAPTER published 2011 in Encyclopedia of Machine Learning

ROC Curve

BOOK CHAPTER published 2011 in Encyclopedia of Machine Learning