Generally I do PCA and can plot the reduced dimension of the data (PC1 and
PC2). Here I'm interested in knowing the boundary decision of the
classifier.
S.
On Fri, Feb 20, 2015 at 6:34 PM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
> On Fri, Feb 20, 2015 at 05:27:12PM +0100, shalu jhanwar wrote:
> > i) Can I do it with more features (I have 16 features)?
>
> How do you visualize a 16-features space?
>
> G
>
>
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