Seems you want to train with different class cost? Maybe you can try to set
different class_weight in SVC training.
You may refer to http://scikit-learn.org/stable/modules/svm.html for the
unbalanced class training. You should tune both the class weight and the
penalty factor together to satisfy your need. Also, you can use
cross-validation score to tune the paramters with respect to training set.
Hope this will help
On Tue, Jun 5, 2012 at 9:30 AM, Emily Wong <[email protected]> wrote:
> Hi,
> I'm new to scikit and machine learning in general and I trying to use svm
> to find the best way to classify a dataset containing lots of negatives. I
> was wondering if there is a way to increase the penalty factor associated
> with misclassification of the positive class?
> Thanks,
> Emily
>
>
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