The first thing I'd do is publish the result (just kidding!).
Try it with another data set first, especially one that has an example in
the docs.
If you are still getting top marks, it may be your "framework" around the
code. (are you doing proper test/train splits, etc)
If it drops, consider that you may have a dataset that can get high
accuracies. Random Forests are good methods...
On 15 August 2013 17:03, Jason Williams <jwilliams4...@yahoo.co.uk> wrote:
> I ran a few test based on Random Forest Classifier (
> http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html)
> with default setting. The classification (repeated the classification
> procedure several times) is nearly 100% correct. That seems to be
> overfitting. Is there any points (e.g. dataset, etc.) I can check to see if
> I did something wrong?
>
> Thanks
>
>
> ------------------------------------------------------------------------------
> Get 100% visibility into Java/.NET code with AppDynamics Lite!
> It's a free troubleshooting tool designed for production.
> Get down to code-level detail for bottlenecks, with <2% overhead.
> Download for free and get started troubleshooting in minutes.
> http://pubads.g.doubleclick.net/gampad/clk?id=48897031&iu=/4140/ostg.clktrk
> _______________________________________________
> Scikit-learn-general mailing list
> Scikit-learn-general@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
--
Public key at: http://pgp.mit.edu/ Search for this email address and select
the key from "2011-08-19" (key id: 54BA8735)
------------------------------------------------------------------------------
Get 100% visibility into Java/.NET code with AppDynamics Lite!
It's a free troubleshooting tool designed for production.
Get down to code-level detail for bottlenecks, with <2% overhead.
Download for free and get started troubleshooting in minutes.
http://pubads.g.doubleclick.net/gampad/clk?id=48897031&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
