Precision-Recall and ROC Curves 1.0

Consider a binary classification task, and a real-valued predictor, where higher values denote more confidence that an instance is positive. By setting a fixed threshold on the output, we can trade-off recall (=true positive rate) versus false positive rate (resp. precision).Depending on the relative class frequencies, ROC and P/R curves can highlight different properties; for details, see e.g., Davis & Goadrich, 'The Relationship Between Precision-Recall and ROC Curves', ICML 2006.

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Class,  Curves,  Depending,  False,  Frequencies,  Highlight,  Precision,  Properties,  Relative
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