There are a number of techniques for predicting target variables from predictors including regression, logistic regression, class probability trees, naive Bayesian networks, and Bayesian networks. I am interested in any studies comparing the approaches. In particular, I would find results concerning the following interesting:
1. # parameters learned. 2. predictive accuracy. 3. ability to handle missing data values (in test data set). Thanks much, Rich Richard E. Neapolitan Professor and Chair of Computer Science Northeastern Illinois University 5500 N. St. Louis Chicago, Illinois 60625 _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
