[PDF][PDF] AUC: a statistically consistent and more discriminating measure than accuracy
Predictive accuracy has been used as the main and often only evaluation criterion for the
predictive performance of classification learning algorithms. In recent years, the area under …
predictive performance of classification learning algorithms. In recent years, the area under …
AUC: a statistically consistent and more discriminating measure than accuracy
CX Ling, J Huang, H Zhang - Proceedings of the 18th international joint …, 2003 - dl.acm.org
Predictive accuracy has been used as the main and often only evaluation criterion for the
predictive performance of classification learning algorithms. In recent years, the area under …
predictive performance of classification learning algorithms. In recent years, the area under …
[PDF][PDF] AUC: a Statistically Consistent and more Discriminating Measure than Accuracy
CX Ling, J Huang, H Zhang - cs.unb.ca
Predictive accuracy has been used as the main and often only evaluation criterion for the
predictive performance of classification learning algorithms. In recent years, the area under …
predictive performance of classification learning algorithms. In recent years, the area under …
[PDF][PDF] AUC: a Statistically Consistent and more Discriminating Measure than Accuracy
CX Ling, J Huang, H Zhang - Citeseer
Predictive accuracy has been used as the main and often only evaluation criterion for the
predictive performance of classification learning algorithms. In recent years, the area under …
predictive performance of classification learning algorithms. In recent years, the area under …
[PDF][PDF] AUC: a Statistically Consistent and more Discriminating Measure than Accuracy
CX Ling, J Huang - scholar.archive.org
Predictive accuracy has been used as the main and often only evaluation criterion for the
predictive performance of classification learning algorithms. In recent years, the area under …
predictive performance of classification learning algorithms. In recent years, the area under …
[PDF][PDF] AUC: a Statistically Consistent and more Discriminating Measure than Accuracy
CX Ling, J Huang, H Zhang - academia.edu
Predictive accuracy has been used as the main and often only evaluation criterion for the
predictive performance of classification learning algorithms. In recent years, the area under …
predictive performance of classification learning algorithms. In recent years, the area under …
[PDF][PDF] AUC: a Statistically Consistent and more Discriminating Measure than Accuracy
CX Ling, J Huang - ijcai.org
Predictive accuracy has been used as the main and often only evaluation criterion for the
predictive performance of classification learning algorithms. In recent years, the area under …
predictive performance of classification learning algorithms. In recent years, the area under …
[PDF][PDF] AUC: a Statistically Consistent and more Discriminating Measure than Accuracy
CX Ling, J Huang, H Zhang - lri.fr
Predictive accuracy has been used as the main and often only evaluation criterion for the
predictive performance of classification learning algorithms. In recent years, the area under …
predictive performance of classification learning algorithms. In recent years, the area under …
[引用][C] AUC: A statistically consistent and more discriminating measure than accuracy
CX Ling - Proc IJCAI, 2003 - cir.nii.ac.jp
[PDF][PDF] AUC: a Statistically Consistent and more Discriminating Measure than Accuracy
CX Ling, J Huang, H Zhang - csd.uwo.ca
Predictive accuracy has been used as the main and often only evaluation criterion for the
predictive performance of classification learning algorithms. In recent years, the area under …
predictive performance of classification learning algorithms. In recent years, the area under …