AUC: a Statistically Consistent and more Discriminating Measure than Accuracy Export

@misc{citeulike:247899, abstract = {Predictive accuracy has been used as the main and often only evaluation criterion for the predictive performance of classification learning algorithms.}, author = {Ling, C. and Huang, J. and Zhang, H.}, citeulike-article-id = {247899}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.130}, posted-at = {2005-07-06 16:48:42}, priority = {2}, title = {AUC: a Statistically Consistent and more Discriminating Measure than Accuracy}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.130}, year = {2003} }

TY - GEN ID - citeulike:247899 L3 - citeulike-article-id:247899 N2 - Predictive accuracy has been used as the main and often only evaluation criterion for the predictive performance of classification learning algorithms. TI - AUC: a Statistically Consistent and more Discriminating Measure than Accuracy AU - Ling, C AU - Huang, J AU - Zhang, H PY - 2003/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.130 ER -