How to avoid java heap error

[Julian Moritz-2]

Hi,

I'm using weka one a large trainingset, but it actually works with only
a few thousand instances. Wich options can I use with my J48 to reduce
the memory wich should be used? Maybe setting down the pruning
confidence? Or -R for reduced error pruning? Or -S for "don't perform
subtree raising". The documentation is not very detailed about this point.

Or, as an alternative, is there an implementation of a decision tree
wich is better for this case?

Regards
Julian


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[Julian Moritz-2]

Hi,

Julian Moritz schrieb:
> Hi,
>

now I've found this:

http://weka.wikispaces.com/Classifying+large+datasets

Maybe I read it first before you write any answers.

Regards
Julian

> I'm using weka one a large trainingset, but it actually works with only
> a few thousand instances. Wich options can I use with my J48 to reduce
> the memory wich should be used? Maybe setting down the pruning
> confidence? Or -R for reduced error pruning? Or -S for "don't perform
> subtree raising". The documentation is not very detailed about this point.
>
> Or, as an alternative, is there an implementation of a decision tree
> wich is better for this case?
>
> Regards
> Julian
>
>
>
> ------------------------------------------------------------------------
>
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