{"pk":25940,"title":"Linear Versus Non-Linear Policy Capturing in a Dynamic Classification Task","subtitle":null,"abstract":"Policy capturing is a decision analysis technique normally using linear statistical models to infer the basis of expert\njudgments. The purpose of the present work was to test if the C4.5 decision tree (DT) algorithm (a non-linear machine learning\nmethod) is more effective at capturing individual‚Äôs decision policies than the standard linear technique. Human classification\nbehavior was measured in a simulated naval air-defence task to compare decision tree models and linear logistic regression\nmodels in terms of their descriptive and predictive accuracy. Results show that C4.5 was superior in terms of goodness-of-fit\nand cross-validation performance. Decision tree complexity was significantly correlated to individuals‚Äô response times. The\nclassification rules derived from each individual were actually more reliable than their human counterparts ‚Äì replicating a classic\nfinding in policy capturing. We conclude that C4.5 is a useful policy capturing tool in the context of a complex dynamic task\nenvironment.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Member Abstracts","is_remote":true,"remote_url":"https://escholarship.org/uc/item/6532d164","frozenauthors":[{"first_name":"Daniel","middle_name":"","last_name":"Lafond","name_suffix":"","institution":"Thales Research Technology Canada","department":""},{"first_name":"Benoit","middle_name":"","last_name":"Roberge-Valliere","name_suffix":"","institution":"U Laval","department":""},{"first_name":"Marie-Eve","middle_name":"","last_name":"Saint-Louis","name_suffix":"","institution":"U Laval","department":""},{"first_name":"Sebastien","middle_name":"","last_name":"Tremblay","name_suffix":"","institution":"U Laval","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2015-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/25940/galley/15564/download/"}]}