Hi Steve
I had done one more thing I had taken the transpose of both my test and
train files as given below:
model<- svm(t(train),cl);
pred <- predict(model,t(test));
And the result I had got is :
Result:
pred ALL AML
ALL 10 0
AML 0 10
why is there a difference in the result which I had given in the before
post?does this mean doing transpose classifies the samples better? or is
there any reason for this?
Thanks a ton in advance.
-Aadhithya
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