search for: _approximate_

After reading some more from the archives, a private email, and some general research, I see that KerbV support has been dropped in favor of GSSAPI. Which is fine, and wonderful, I support GSSAPI. But, erm, the announcement says, "This release contains some GSSAPI user authentication support to replace legacy KerberosV authentication support. At present this code is still considered

Hello R-USERS, I think some people didn't understand my question. What I want is to use the training set to minimize the FALSE POSITIVE RATE. I think it is possible. I sacrifice ACCURACY to have less FALSE POSITIVES. I don't want a classifier result with 5% of FPR and, for example, 93% of ACCURACY. I want a 1% FPR sacrificing the 93% ACCURACY. Do you know how can I do this? I really