Thanks. I will surely try this as well.
Monica
> Date: Thu, 26 Feb 2009 08:14:31 -0500
> Subject: Re: [R] statistical significance of accuracy increase in
> classification
> From: mxk...@gmail.com
> To: pisican...@hotmail.com
> CC: r-help@r-project.org
>
> >
Hi Stefan,
Thanks so much. This will help me i am sure. These past 2 days i was away on a
trip so please excuse my delayed answer.
Monica
> From: stefan.ev...@uos.de
> To: pisican...@hotmail.com
> Subject: Re: [R] statistical significance of accuracy increase in
> cl
On 26 Feb 2009, at 14:14, Max Kuhn wrote:
Do you know about any good reference that discusses kappa for
classification and maybe CI for kappa???
You might also want to take a look at this survey article on kappa and
its alternatives:
Artstein, Ron and Poesio, Massimo (2008). Survey arti
> Do you know about any good reference that discusses kappa for classification
> and maybe CI for kappa???
I don't, but googling on kappa and confusion matrix etc should get you
there. Kappa works very well when the true classes are skewed. For
example, if 10% of you samples are class A and 90% c
prove that this gives
unacceptable results.
Do you know about any good reference that discusses kappa for classification
and maybe CI for kappa???
Thanks again for your input,
Monica
> Date: Wed, 25 Feb 2009 09:01:23 -0500
> Subject: Re: [R] statistical significance of accuracy in
Monica,
I have a few thoughts.
- (I believe) it is usually better to put confidence in these metrics
instead of relying on p-values. The intervals will allow you to make
inferential statements and give you a way of characterizing the
uncertainty in the estimates. You've seen how to do this with
ica
> From: pisican...@hotmail.com
> To: r-help@r-project.org
> CC: max.k...@pfizer.com
> Subject: [R] statistical significance of accuracy increase in classification
> Date: Tue, 24 Feb 2009 16:22:41 +
>
>
> Hi everyone,
>
> I would
Hi everyone,
I would like to test for the statistical significance(for what it worth ...) in
increasing classification accuracy and kappa statistics from different land
classifications. The classifications were done using other software (like
eCognition and See5), but the results were "sampled
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