Thanks again ! After reading you paper and doing some fast test for sure I will reconsider my point of view.
If it can help, I also found this paper that compare a lot of classifier and the conclusion is the same : RF seems to be one of the best classifier but easy to tune and very fast. http://jmlr.org/papers/volume15/delgado14a/delgado14a.pdf In the future, in real work I will compare SVM and RF. Best On Saturday, January 23, 2016 at 2:37:46 PM UTC+1, CedricL wrote: > > Hello all, > > last update of OTB 5.2 seems to remove SVM learning (I am not sure). > > Whatever, even if I am a fan of SVM in particular with parameter > optimization, I now that Random Forest is also powerfull (may be a little > bit less than svm) but strongly faster. > > However, because I don't know to much Random Forest I don(t know how to > chose best settings in comparison to SVM optimization parameters. > > So have you any tricks or paper to read about that ? > > Best > -- -- Check the OTB FAQ at http://www.orfeo-toolbox.org/FAQ.html You received this message because you are subscribed to the Google Groups "otb-users" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/otb-users?hl=en --- You received this message because you are subscribed to the Google Groups "otb-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
