[scikit-learn] NuSVC and ValueError: specified nu is infeasible

[Thomas Evangelidis]

>
>
> @Thomas
> I still think the optimization problem is not feasible due to your data.
> Have you tried balancing the dataset as I mentioned in your other question
> regarding the
> ​​
> MLPClassifier?
>
>
>
​Hi Piotr,

I had tried all the balancing algorithms in the link that you stated, but
the only one that really offered some improvement was the SMOTE
over-sampling of positive observations. The original dataset contained ​24
positive and 1230 negative but after SMOTE I doubled the positive to 48.
Reduction of the negative observations led to poor predictions, at least
using random forests. I haven't tried it with
​
MLPClassifier yet though.
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