looking for "optimal weighting" algorithm
Terry Reedy
tjreedy at udel.edu
Thu Apr 10 17:39:22 EDT 2003
More information about the Python-list mailing list
Thu Apr 10 17:39:22 EDT 2003
- Previous message (by thread): looking for "optimal weighting" algorithm
- Next message (by thread): popen(), sendmail: Success?
- Messages sorted by: [ date ] [ thread ] [ subject ] [ author ]
"Duncan Smith" <buzzard at urubu.freeserve.co.uk> wrote in message news:b74ckl$itb$1 at newsg4.svr.pol.co.uk... > Yes, you do have the link function as well as the linear predictor, and the > cut-off would be 0.5 rather than 1. But in terms of absolute efficiency > there is (according to the literature) little to choose between linear > discriminant analysis and logistic regression. Changing the cut-off would > be a simple way of attempting to minimise Alex's 'error-cost'. For at least some types of data distributions, I can believe that. My comment about stepwise construction of a feature set versus over-fitting with everything you can think of applies equally well to logistic regression. As far as I know, logistic regression cannot be used for more than two mutually-exclusive groups. I don't know whether Alex might ever need to. Terry J. Reedy
- Previous message (by thread): looking for "optimal weighting" algorithm
- Next message (by thread): popen(), sendmail: Success?
- Messages sorted by: [ date ] [ thread ] [ subject ] [ author ]
More information about the Python-list mailing list