Decision support for selecting optimal logistic regression models

► The paper considers user support for selecting optimal logistic regression models. ► A number of heuristics to arrive at optimal logistic regression models are reviewed and formalized. ► Two computational algorithms that incorporate these formalized heuristics are devised. ► An implementation of these algorithms in an interactive decision support system is presented.