Toward Bayesian Classifiers with Accurate Probabilities Export

@inproceedings{citeulike:247898, abstract = {In most data mining applications, accurate ranking and probability estimation are essential. However, many traditional classifiers aim at a high classification accuracy (or low error rate) only, even though they also produce probability estimates. Does high predictive accuracy imply a better ranking and probability estimation? Is there any better evaluation method for those classifiers than the classification accuracy, for the purpose of data mining applications? The answer is the area under...}, author = {Ling, Charles X. and Zhang, Huajie}, booktitle = {Pacific-Asia Conference on Knowledge Discovery and Data Mining}, citeulike-article-id = {247898}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.7332}, keywords = {roc-curves}, pages = {123--134}, posted-at = {2005-07-06 16:47:38}, priority = {2}, title = {Toward Bayesian Classifiers with Accurate Probabilities}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.7332}, year = {2002} }

TY - CONF ID - citeulike:247898 L3 - citeulike-article-id:247898 N2 - In most data mining applications, accurate ranking and probability estimation are essential. However, many traditional classifiers aim at a high classification accuracy (or low error rate) only, even though they also produce probability estimates. Does high predictive accuracy imply a better ranking and probability estimation? Is there any better evaluation method for those classifiers than the classification accuracy, for the purpose of data mining applications? The answer is the area under... EP - 134 TI - Toward Bayesian Classifiers with Accurate Probabilities T2 - Pacific-Asia Conference on Knowledge Discovery and Data Mining SP - 123 KW - roc-curves AU - Ling, Charles AU - Zhang, Huajie PY - 2002/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.7332 ER -