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"it does meaningfully better at all sample sizes"

maybe you aren't familiar with reading graphs, but no, it really doesn't. one graph with mostly overlapping error bars does not inspire great confidence.

also, it isn't at all clear to me that the cross-validation method employed is sufficient to rule out overtraining. nor is it clear that the differences claimed are replicable or generally applicable enough to make a counter argument to the original post.




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