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One of the visualizations I find most intriguing for scikit-learn is the visualization of predictions on a classification problem for many classifiers. This one:
I have something similar that I use to demonstrate how different cross-validation objects work. It has a similar style to it, and is done with very few lines of code. It makes plots like:
and
Would an example like this that loops through several cross-validation objects be helpful? I find it much easier to teach what each CV object does using visual plots like this rather than printing out the indices.
Just checking if folks would be interested in this before I make a PR :-)
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