Dear Changbin,
that looks odd indeed - can you cast your example in a reproducible one
so I can track this down (or at least send me the data offline?)
Thanks
David
Changbin Du wrote:
svm.fit<-svm(as.factor(out) ~ ., data=all_h, method="C-classification",
kernel="radial", cost=bestc, gamma=bestg, cross=10) # model fitting
svm.pred<-predict(svm.fit, hh, decision.values = TRUE, probability =
TRUE) # find the probability, but can not find.
attr(svm.pred, "probabilities")
> attr(svm.pred, "probabilities")
1 0
1 0 0
2 0 0
3 0 0
5 0 0
6 0 0
7 0 0
8 0 0
9 0 0
Hi, Dear R community,
IN my data, the out variable is the target variable (0, and 1), hh is
the new data set does not contain the out variable. I trained the model
svm.fit in training data. And want to predict the out in the new data
set hh.
WHy the probabilities are both 0 in 1 and 0 class?
--
Sincerely,
Changbin
--
Changbin Du
DOE Joint Genome Institute
Bldg 400 Rm 457
2800 Mitchell Dr
Walnut Creet, CA 94598
Phone: 925-927-2856
--
Priv.-Doz. Dr. David Meyer
Department of Information Systems and Operations
WU
Wirtschaftsuniversität Wien
Vienna University of Economics and Business
Augasse 2-6, 1090 Vienna, Austria
Tel: +43-1-313-36-4393
Fax: +43-1-313-36-90-4393
HP: http://ec.wu.ac.at/~meyer
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