Hi All, For Binary Classification / Logistic Regression Models, Is there a specific preference or standard of what metric to be used for comparison of 2 models, especially when the model types are different - e.g logistic regression vs svd vs gbm vs neural networks?
As I understand AUC is the one used most frequently. Is there some documentation that compares these from a practical standpoint? Thanks, Manish CONFIDENTIAL NOTE: The information contained in this email is intended only...{{dropped:8}} ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.