On 18.02.2010 19:43, madhu sankar wrote:
Hi,
I am having trouble with svm regression.it is not giving the right results.
example
model<- svm(dataTrain,classTrain,type="eps-regression")
predict(model, dataTest)
36 37 38 39 40 41
42
-13.838257
On 18.02.2010 17:54, madhu sankar wrote:
Hi,
I am trying to use svm for regression data.
this is how my data looks like:
dataTrain
x y z
1 4 6
2 5 4
3 7 5
classTrain
a
2
3
4
dataTest
x y z
1 7 2
2 8 3
classTest
a
3
4
5
building the model
model<-svm(dataTrain,cl
Hi Nancy,
2009/12/30 Nancy Adam :
> Hi steve,
>
> Thank you so much for your reply.
>
> I’m asking about the difference between two cases:
>
> 1) when I use svm in a regression system and
>
> 2) when I use svm in a classification system.
>
> Is the code of using svm in these two cases the same?
Dec 2009 10:36:36 -0500
> Subject: Re: [R] svm regression/classification
> From: mailinglist.honey...@gmail.com
> To: nancyada...@hotmail.com
> CC: r-help@r-project.org
>
> Hi Nancy,
>
> Comments in line:
>
> On Sun, Dec 27, 2009 at 3:34 AM, Nancy Adam wrote:
>
Hi Nancy,
Comments in line:
On Sun, Dec 27, 2009 at 3:34 AM, Nancy Adam wrote:
> Hi everyone,
>
> Can anyone please tell whether there is a difference between the code for
> using svm in regression and code for using svm in classification?
>
> This is my code for regression, should I change it
Thank you very much!
Eleni
On Fri, Dec 11, 2009 at 7:19 PM, Steve Lianoglou <
mailinglist.honey...@gmail.com> wrote:
> Hi Eleni,
>
> On Dec 11, 2009, at 12:04 PM, Eleni Christodoulou wrote:
>
> > Dear R users,
> >
> > I am trying to apply SVM regression for a set of microarray data. I am
> usin
Hi Eleni,
On Dec 11, 2009, at 12:04 PM, Eleni Christodoulou wrote:
> Dear R users,
>
> I am trying to apply SVM regression for a set of microarray data. I am using
> the function svm() under the package {e1071}. Can anyone tell me what
> the *residuals
> *value represents? I have some observed v
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