> How do you look at the examples? Do you use summary stats, visualization ...
> I found this not easy when working with n_features > 1000.

It depends. I'm usually working with text.
The idea is to try and figure out a way to easily see what the errors
are / examples mean.

If I had a long example with many features, and it was black box, I'm
not sure what I'd do. Probably some sort of summary statistic. I think
it's important to figure out how to dig into the examples.

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