what is an external test set and a training set? What’s their difference?
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A training set is what you use to provide an Machine Learning algorhythm to get to the expected goal. A great example, it would be to use a set of 10 million images of dogs and cats, until you think it can recognize and tell apart dogs from cats nearly flawlessly, or at least, with enough accuracy to be not stupid, and put “dog” on a lion, and “cat” on a great dane.
An external test set is what you use to test if it’s actually there. It’s a set of images that is taken from a logical environment to debug if your machine learned right. That set may include very feline-looking dogs, and very canine-looking cats, along with images with definitely neither, to know how it deals with cases like that.
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