Well:
I programmed an script in R using caret package and the results are very
interesting ...
I have two datasets the first dataset have a linear distribution
experimentaly:
values are: 4.3 , 5.3, 6.3.. 10.3...
the svmRadial kernel work perfectly and I can obtain an R2 = 0.98 between
the pre
As far as caret goes, you should read
http://cran.r-project.org/web/packages/caret/vignettes/caretVarImp.pdf
and look at rfe() and sbf().
On Fri, May 6, 2011 at 2:53 PM, ypriverol wrote:
> Thanks Max. I'm using now the library caret with my data. But the models
> showed a correlation under
Thanks Max. I'm using now the library caret with my data. But the models
showed a correlation under 0.7. Maybe the problem is with the variables that
I'm using to generate the model. For that reason I'm asking for some
packages that allow me to reduce the number of feature and to remove the
worst f
How can I apply feature selection with caret and support vector regression.
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train() uses vectors, matrices and data frames as input. I really
think you need to read materials on basic R before proceeding. Go to
the R web page. There are introductory materials there.
On Tue, May 3, 2011 at 11:19 AM, ypriverol wrote:
> I saw the format of the caret data some days ago. It i
I saw the format of the caret data some days ago. It is possible to convert
my csv data with the same data a format as the caret dataset. My idea is to
use firstly the same scripts as caret tutorial, then i want to remove
problems related with data formats and incompatibilities.
Thanks for your t
See the examples at the end of:
http://cran.r-project.org/web/packages/caret/vignettes/caretTrain.pdf
for a QSAR data set for modeling the log blood-brain barrier
concentration. SVMs are not used there but, if you use train(), the
syntax is very similar.
On Tue, May 3, 2011 at 9:38 AM, yprive
well, first of all thank for your answer. I need some example that works with
Support Vector Regression. This is the format of my data:
VDP V1V2
9.15 1234.5 10
9.15 2345.6 15
6.7789.0 12
6.7234.6 11
3.2 123.6 5
3.2 235.7 8
VDP is t
When you say "variable" do you mean predictors or responses?
In either case, they do. You can generally tell by reading the help
files and looking at the examples.
Max
On Fri, Apr 29, 2011 at 3:47 PM, ypriverol wrote:
> Hi:
> I'm starting a research of Support Vector Regression. I want to obta
Hi:
I'm starting a research of Support Vector Regression. I want to obtain a
model to predict a property A with
a set of property B, C, D, ... This problem is very common for example in
QSAR models. I want to know
some examples and package that could help me in this way. I know about
caret
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