Maybe what you are looking for is dimensionality reduction, which will
give you a lower-dimensional view of the data.
That way you can get a 2d representation of your data which you can
plot. You can then color the samples according to the classes or
decision values.
You can start with PCA fro
Thanks for your response Andy.
Is there another application that might help me plot this information on a
graph? Really what I am looking for is perhaps to assign a numerical
representation for each sample based off of the 18 attributes and then plot
that numerical representation on a graph to see
Hi.
The example is meant to illustrate the prediction boundaries on a 2d
example.
You can not plot the decision boundaries like that for higher dimensions.
Just predicting should work fine, though.
Hth,
Andy
On 11/19/2014 11:56 AM, John Doe wrote:
I have just started using scikit and I h
I have just started using scikit and I have been following the example code
at
http://scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html
I am having some trouble with my data, here is the code that I have been
using to import my data from csv files that I dump out of a datab