Hello Steve
Thanks for quick responses its really helping me out .Ya I made the
necessary changes you had mentioned. I was not sure of that 'type' argument
where u had told me to set it to SVM . Do you mean I have to give that
argument in this line "cl <- c(c(rep("ALL",10), rep("AML",10)));" a
> Hello Steve
> Thanks for quick responses its really helping me out .Ya I made the
> necessary changes you had mentioned. I was not sure of that 'type' argument
> where u had told me to set it to SVM . Do you mean I have to give that
> argument in this line "cl <- c(c(rep("ALL",10), rep("AML",10
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 th
Hello Steve
Thanks for quick responses its really helping me out .Ya I made the
necessary changes you had mentioned. I was not sure of that 'type' argument
where u had told me to set it to SVM . Do you mean I have to give that
argument in this line "cl <- c(c(rep("ALL",10), rep("AML",10)));" a
Hi,
On Tue, Jun 29, 2010 at 7:16 AM, Aadhithya wrote:
>
> Following is the error I am getting:
> Error in svm.default(train, cl) :
> Need numeric dependent variable for regression.
Here's a problem that you may not even know you had yet.
By the looks of your code, it seems as if you want to do
Following is the error I am getting:
Error in svm.default(train, cl) :
Need numeric dependent variable for regression.
My dataset looks like this in both training and testing:
ALL ALL ALL ALL ALL ALL ALL ALL ALL ALL
AML AML AML AML AML
Hi,
On Mon, Jun 28, 2010 at 9:55 PM, Aadhithya wrote:
>
> Hi I am Aadhithya I am trying to write a code to classify microarray data
> (AML and ALL) using SVM in R
> my code goes like this :
> library(e1071)
> train<-read.table("Z:/Documents/train.txt",header=T);
> test<-read.table("Z:/Documents/t
Hi I am Aadhithya I am trying to write a code to classify microarray data
(AML and ALL) using SVM in R
my code goes like this :
library(e1071)
train<-read.table("Z:/Documents/train.txt",header=T);
test<-read.table("Z:/Documents/test.txt",header=T);
cl <- c(c(rep("ALL",10), rep("AML",10)));
model<
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