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

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