1. is there some criterion to estimate overfitting? e.g. R2 and Q2 in the training set, as well as R2 in the test set, when means overfitting. for example, in my data, I have R2=0.94 for the training set and for the test set R2=0.70, is overfitting? 2. in this scatter, can one say this overfitting?
3. my result is obtained by svm, and the sample are 156 and 52 for the training and test sets, and predictors are 96, In this case, can svm be employed to perform prediction? whether the number of the predictors are too many ? 4.from this picture, can you give me some suggestion to improve model performance？ and is the picture bad? 5. the picture and data below. thank you! http://n4.nabble.com/file/n2164417/scatter.jpg scatter.jpg http://n4.nabble.com/file/n2164417/pkc-svm.txt pkc-svm.txt -- View this message in context: http://r.789695.n4.nabble.com/How-to-estimate-whether-overfitting-tp2164417p2164417.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
