Hi Andy, Does the randomForest have a Cross Validation built-in to decide what is the best number of trees or I have to find the best number manually by myself?
Thanks a lot! Michael. On 3/7/06, Liaw, Andy <[EMAIL PROTECTED]> wrote: > > Yes, I do know. That's why I pointed you to the reference linked from the > help page. > > BTW, there's also an R News article describing the initial version of the > package. Have you perused that? > > Andy > > -----Original Message----- > *From:* Michael [mailto:[EMAIL PROTECTED] > *Sent:* Tuesday, March 07, 2006 9:27 PM > *To:* Liaw, Andy > *Cc:* [email protected] > *Subject:* Re: [R] how to use the randomForest and rpart function? > > It did not have a legend showing on which color is for class1, which color > is for class2, etc... > > I've read the R-help page. > > It lists a lot of options, but it did not say which ones are the key > parameters that people use most for improving performance... > > Do you know? > > On 3/7/06, Liaw, Andy <[EMAIL PROTECTED]> wrote: > > > > As ?plot.randomForest says, it plots error rates. In addition to > > overall > > error rates, it also plots error rates for each class. > > > > As to the options in randomForest, read about the options in the help > > page > > and the reference linked from the help page. > > > > Andy > > > > From: Michael > > > > > > When I plot the randomForest object, it shows a graph with 3 > > > lines, green, red and black, what's the meaning of these three lines? > > > > > > On 3/7/06, Michael < [EMAIL PROTECTED]> wrote: > > > > > > > > Hi all, > > > > > > > > I am trying to play around with the randomForest function for > > > > classification. I know its performance is great. > > > > > > > > I am currently using the default options. > > > > > > > > It has many options. > > > > > > > > How do I further tweak the options so that I can make its > > > performance > > > > even better? > > > > > > > > What are the options that are mostly used? > > > > > > > > Thanks a lot! > > > > > > > > M > > > > > > > > > > [[alternative HTML version deleted]] > > > > > > ______________________________________________ > > > [email protected] mailing list > > > https://stat.ethz.ch/mailman/listinfo/r-help > > > PLEASE do read the posting guide! > > > http://www.R-project.org/posting-guide.html > > > > > > > > > > > > ------------------------------------------------------------------------------ > > > > Notice: This e-mail message, together with any attachments, contains > > information of Merck & Co., Inc. (One Merck Drive, Whitehouse Station, New > > Jersey, USA 08889), and/or its affiliates (which may be known outside the > > United States as Merck Frosst, Merck Sharp & Dohme or MSD and in Japan, as > > Banyu) that may be confidential, proprietary copyrighted and/or legally > > privileged. It is intended solely for the use of the individual or entity > > named on this message. If you are not the intended recipient, and have > > received this message in error, please notify us immediately by reply e-mail > > and then delete it from your system. > > > > ------------------------------------------------------------------------------ > > > > > ------------------------------------------------------------------------------ > Notice: This e-mail message, together with any attachments...{{dropped}} ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
