[R] svm: is this right?

From: Weiwei Shi <helprhelp_at_gmail.com>
Date: Tue, 12 Feb 2008 13:43:18 +0800

I have a question on using svm{e1071} for a classification task:

No matter how I split the data into training and test, I always end with a perfect accuracy in training but sensitivity = 0 for test. One example is like this

      1 2
  1 209 0
  2 0 67

     1 2
  1 47 0
  2 17 0

My question is, is there anything wrong with the following call: m2 <- best.svm(class~., data=x1, gamma=2^(-3:3), cost=2^(0:5)) # x1 is training data
pred1 <- predict(m2, x3) # x3 is test data



Weiwei Shi, Ph.D
Research Scientist
GeneGO, Inc.

"Did you always know?"
"No, I did not. But I believed..."
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Received on Tue 12 Feb 2008 - 05:50:02 GMT

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