On the Path to an Ideal ROC Curve: Considering Cost Asymmetry

On the Path to an Ideal ROC Curve: Considering Cost Asymmetry in Learning Classifiers Francis Bach David Heckerman Eric Horvitz UC Berkeley Microsoft Research January 2005

• correct classification


• linear classification


• false positive


• roc curves


• classification using


• training linear


• asymmetries


• considering cost


• asymmetric testing