artificial intelligence - Best way to automate testing of AI algorithms? -


i'm wondering how people test artificial intelligence algorithms in automated fashion.

one example turing test - there number of submissions contest. there conceivable way score candidates in automated fashion - other having humans test them out.

i've seen data sets (obscured images of numbers/letters, groups of photos, etc) can fed in , learned on time. resources out there this.

one challenge see: don't want algorithm tailors test data on time, since trying see how in general case. there techniques ensure doesn't this? such giving random test each time, or averaging results on bunch of random tests.

basically, given bunch of algorithms, want automated process feed data , see how "learned" or can predict new stuff hasn't seen yet.

generally when comes sort of thing have 2 datasets - 1 large "training set" use build , tune algorithm, , separate smaller "probe set" use evaluate performance.


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