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by srdjanr
30 days ago
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It makes sense to me intuitively (though I'm not sure if my reasoning is actually correct). Worse model may not "know" enough to distinguish between a 70 and a 100 candidate, so it's expected that it's output has high variance. But a better model might "know" enough, so it can be more confident and thus more consistent. |
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