Hi Marlene,
I'm going to cut out much of your post and just cut to the chase:
On Sep 1, 2009, at 9:03 AM, marlene marchena wrote:
Looking only to prediction purpose the scale model is good but Im
mainly
interested in w. Is it possible to improve this model to get lower
values to
w? Actuall
Hi,
A long time I have some problems to run a SVM - regression. Here an example
with the Ozone data that represents very well my own data.
data(Ozone, package = "mlbench")
#I cut the three first variables and splite the data in two parts
Ozone<- na.omit(Ozone[, -(1:3)])
index <- 1:nrow(O
Thanks,
I just remember with RapidMiner, there was always a screen showing the
effective "weights" assigned to each input variable by the SVM. These
numbers themselves weren't good for much, except they really helped to
visualize the data. It is rather useful to see how much relative weight
Hi,
On Aug 31, 2009, at 3:32 AM, Noah Silverman wrote:
Steve,
That doesn't work.
Actually, it does :-)
I just trained an SVM with 80 variables.
svm_model$coefs gives me a list of 10,000 items. My training set
is 30,000 examples of 80 variables, so I have no idea what the
10,000 items
Noah Silverman wrote:
Steve,
That doesn't work.
I just trained an SVM with 80 variables.
svm_model$coefs gives me a list of 10,000 items. My training set is
30,000 examples of 80 variables, so I have no idea what the 10,000
items represent.
There should be some attribute that lists the "w
On Mon, 31 Aug 2009, Noah Silverman wrote:
Steve,
That doesn't work.
I just trained an SVM with 80 variables.
svm_model$coefs gives me a list of 10,000 items. My training set is 30,000
examples of 80 variables, so I have no idea what the 10,000 items represent.
Presumably, the coefficient
Steve,
That doesn't work.
I just trained an SVM with 80 variables.
svm_model$coefs gives me a list of 10,000 items. My training set is
30,000 examples of 80 variables, so I have no idea what the 10,000 items
represent.
There should be some attribute that lists the "weights" for each of the
Hi,
On Sun, Aug 30, 2009 at 6:10 PM, Noah Silverman wrote:
> Hello,
>
> I'm using the svm function from the e1071 package.
>
> It works well and gives me nice results.
>
> I'm very curious to see the actual coefficients calculated for each input
> variable. (Other packages, like RapidMiner, show
Hello,
I'm using the svm function from the e1071 package.
It works well and gives me nice results.
I'm very curious to see the actual coefficients calculated for each
input variable. (Other packages, like RapidMiner, show you this
automatically.)
I've tried looking at attributes for the mo
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