On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach Export

@article{citeulike:590231, abstract = {. An important component of many data mining projects is finding a good classification algorithm, a process that requires very careful thought about experimental design. If not done very carefully, comparative studies of classification and other types of algorithms can easily result in statistically invalid conclusions. This is especially true when one is using data mining techniques to analyze very large databases, which inevitably contain some statistically unlikely data. This paper describes ...}, author = {Salzberg, Steven}, citeulike-article-id = {590231}, citeulike-linkout-0 = {http://citeseer.ist.psu.edu/salzberg97comparing.html}, citeulike-linkout-1 = {http://citeseer.lcs.mit.edu/salzberg97comparing.html}, citeulike-linkout-2 = {http://citeseer.ifi.unizh.ch/salzberg97comparing.html}, citeulike-linkout-3 = {http://citeseer.comp.nus.edu.sg/salzberg97comparing.html}, journal = {Data Mining and Knowledge Discovery}, keywords = {evaluation}, number = {3}, pages = {317--328}, posted-at = {2006-04-18 08:53:45}, priority = {2}, title = {On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach}, url = {http://citeseer.ist.psu.edu/salzberg97comparing.html}, volume = {1}, year = {1997} }

TY - JOUR ID - citeulike:590231 L3 - citeulike-article-id:590231 N2 - . An important component of many data mining projects is finding a good classification algorithm, a process that requires very careful thought about experimental design. If not done very carefully, comparative studies of classification and other types of algorithms can easily result in statistically invalid conclusions. This is especially true when one is using data mining techniques to analyze very large databases, which inevitably contain some statistically unlikely data. This paper describes ... IS - 3 JF - Data Mining and Knowledge Discovery EP - 328 TI - On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach VL - 1 SP - 317 KW - evaluation AU - Salzberg, Steven PY - 1997/// UR - http://citeseer.ist.psu.edu/salzberg97comparing.html ER -