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>"A strong example is a classifier that distinguishes between wolves and dogs. When you look at which pixels were the most impactful in 'Wolf' predictions, you
by nonbel 8y ago
>"A strong example is a classifier that distinguishes between wolves and dogs. When you look at which pixels were the most impactful in 'Wolf' predictions, you can see that it is actually pixels of snow that are leading to predictions of 'Wolf'."
Yes, but how common is a situation like this? I mean your classifier is then not much better than making a histogram of pixel intensities.
- disgruntledphd2 8y agoI suspect rather common, but it doesn't get noticed as a lot of people (especially with neural nets), tend not to use feature importance methods, or even examining the residuals.