When a good fit can be bad. Export

@article{citeulike:303056, abstract = {How should we select among computational models of cognition? Although it is commonplace to measure how well each model fits the data, this is insufficient. Good fits can be misleading because they can result from properties of the model that have nothing to do with it being a close approximation to the cognitive process of interest (e.g. overfitting). Selection methods are introduced that factor in these properties when measuring fit. Their success in outperforming standard goodness-of-fit measures stems from a focus on measuring the generalizability of a model's data-fitting abilities, which should be the goal of model selection.}, address = {Dept of Psychology, Ohio State University, 1885 Neil Avenue, 43210-1222, Columbus, Ohio, USA}, author = {Pitt, Mark A. and Myung, In J.}, citeulike-article-id = {303056}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/12413575}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=12413575}, day = {1}, issn = {1364-6613}, journal = {Trends Cogn Sci}, keywords = {fit, model}, month = {October}, number = {10}, pages = {421--425}, posted-at = {2005-08-24 23:13:59}, priority = {3}, title = {When a good fit can be bad.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/12413575}, volume = {6}, year = {2002} }

TY - JOUR ID - citeulike:303056 L3 - citeulike-article-id:303056 N2 - How should we select among computational models of cognition? Although it is commonplace to measure how well each model fits the data, this is insufficient. Good fits can be misleading because they can result from properties of the model that have nothing to do with it being a close approximation to the cognitive process of interest (e.g. overfitting). Selection methods are introduced that factor in these properties when measuring fit. Their success in outperforming standard goodness-of-fit measures stems from a focus on measuring the generalizability of a model's data-fitting abilities, which should be the goal of model selection. IS - 10 JF - Trends Cogn Sci SN - 1364-6613 AD - Dept of Psychology, Ohio State University, 1885 Neil Avenue, 43210-1222, Columbus, Ohio, USA EP - 425 TI - When a good fit can be bad. VL - 6 SP - 421 KW - fit KW - model AU - Pitt, Mark AU - Myung, In PY - 2002/10/01/ UR - http://view.ncbi.nlm.nih.gov/pubmed/12413575 ER -