Thank you for your advice. Regards,
Lara A sábado, 23/03/2019, 04:26, Jane Elith <j.el...@unimelb.edu.au> escreveu: > Hi Lara, Sarah > There is a problem in estimation of degrees of freedom so even though some > people try to estimate AIC eg for Maxent models, it's not correct (the > number of parameters in the model is not the effective degrees of freedom). > Same for GBM, RF etc. > e.g. see Hauenstein, S., Wood, S.N. & Dormann, C.F. (2018) Computing AIC > for black-box models using generalized degrees of freedom: A comparison > with cross-validation. Communications in Statistics - Simulation and > Computation, 47, 1382–1396. > > Jane Elith > > On 22/3/19, 10:05 pm, "R-sig-ecology on behalf of > r-sig-ecology-requ...@r-project.org" <r-sig-ecology-boun...@r-project.org > on behalf of r-sig-ecology-requ...@r-project.org> wrote: > > > Message: 2 > Date: Thu, 21 Mar 2019 09:55:03 -0400 > From: Sarah Goslee <sarah.gos...@gmail.com> > To: Lara Silva <lara.sfp.si...@gmail.com> > Cc: "r-sig-ecology@r-project.org" <r-sig-ecology@r-project.org> > Subject: Re: [R-sig-eco] Calculate AIC, DIC and BIC for models > machine learning > Message-ID: > <CAM_vju=D7AVWG5a9e= > p6mfnya9r3j+76k9dexd5vhxgz+y6...@mail.gmail.com> > Content-Type: text/plain; charset="utf-8" > > Yes, of course it is. > > Many of the machine learning packages in R offer AIC as part of their > model summaries. > > You should probably spend some time with the machine learning taskview > to discover more about R's extensive capabilities. > > https://cran.r-project.org/web/views/MachineLearning.html > > Sarah > > On Thu, Mar 21, 2019 at 9:40 AM Lara Silva <lara.sfp.si...@gmail.com> > wrote: > > > > Hello everyone! > > > > In R, it is possible to calculate AIC, DIC, or BIC for models > machine > > learning, like RF, ANN, GBM, MARS? > > > > Are there any functions or specific packages in R? > > > > Any suggestion? > > > > Thanks > > > > Lara > > > > < > https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail > > > > Sem > > vírus. www.avast.com > > < > https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail > > > > <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> > > > > [[alternative HTML version deleted]] > > [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
