this post was submitted on 26 Mar 2024
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Is this overfitting?
No, this is because the testing set can be derived from the training set.
Overfitting alone can't get you to 1.
It can if you don't do a train-test split.
But even if you consider the training set only, having zero loss is definitely a bad sign.
So as an eli5, that's basically that you have to "ask" it stuff it has never heard before? AI has come after my time in higher education.
Yes, it's called a train test split, and is often 80/20 or there about
Yes.
You train it on some data, and ask it about different data. Otherwise it just hard-codes the answers.
Gotcha, thank you!
They're just like us.
Gotcha!