The Case Against Accuracy Estimation for Comparing Induction Algorithms Export

@inproceedings{citeulike:241009, abstract = {We analyze critically the use of classification accuracy to compare classifiers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learning algorithms, and standard benchmark data sets. The results raise serious concerns about the use of accuracy for comparing classifiers and drawinto question the conclusions that can be drawn from such studies. In the course of the presentation, we describe and demonstrate what we believe to be the proper use of ROC...}, author = {Provost, Foster J. and Fawcett, Tom and Kohavi, Ron}, citeulike-article-id = {241009}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.805}, keywords = {roc-curves}, posted-at = {2005-06-30 16:47:36}, priority = {4}, title = {The Case Against Accuracy Estimation for Comparing Induction Algorithms}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.805} }

TY - CONF ID - citeulike:241009 L3 - citeulike-article-id:241009 N2 - We analyze critically the use of classification accuracy to compare classifiers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learning algorithms, and standard benchmark data sets. The results raise serious concerns about the use of accuracy for comparing classifiers and drawinto question the conclusions that can be drawn from such studies. In the course of the presentation, we describe and demonstrate what we believe to be the proper use of ROC... TI - The Case Against Accuracy Estimation for Comparing Induction Algorithms KW - roc-curves AU - Provost, Foster AU - Fawcett, Tom AU - Kohavi, Ron UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.805 ER -