R help - Jul 2009 - hands-on classification tutorial needed...

Hi all,

I am doing binary classification and want to improve the
classification results on imbalanced response data.

Currently the performance is poor. Are there ways I could improve the
performance?

I could either try different classification methodologies, or try
exploring the data more, and throwing away noisy data, and manipulate
the data more before sending into the classifiers.

I was wondering are there systematic way of improving classification
performance?

I know it's an art. But I am lack of experience and want to gain experience.

How to do that? Please give me some pointers about hands-on tutorial
on classification.

I am using R.

Thank you!

Hi,

did you balance your trainset?
IMHO in  the caret package are helpful functions  for  doing  grid-search with
different classifiers.
http://cran.r-project.org/web/packages/caret/vignettes/caretTrain.pdf

HTH,Christian


> Hi all,
> 
> I am doing binary classification and want to improve the
> classification results on imbalanced response data.
> 
> Currently the performance is poor. Are there ways I could improve the
> performance?
> 
> I could either try different classification methodologies, or try
> exploring the data more, and throwing away noisy data, and manipulate
> the data more before sending into the classifiers.
> 
> I was wondering are there systematic way of improving classification
> performance?
> 
> I know it's an art. But I am lack of experience and want to gain
experience.
> 
> How to do that? Please give me some pointers about hands-on tutorial
> on classification.
> 
> I am using R.
> 
> Thank you!
> 
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