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Tekno-12345 OP t1_jc5vjac wrote

Reply to comment by gradientic in Using GANs to generate defective data by Tekno-12345

My problem with AD models is that they are very sensitive, even if trained on noise.
Any small diversion will be detected as defective.

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HarissaForte t1_jc6sser wrote

> Any small diversion will be detected as defective.

If this small diversion is smaller than the diversion within your train dataset (+ the noise) then it should not be detected.

Did you try different splits or a CV ?

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Tekno-12345 OP t1_jc9oymg wrote

You're right, I'll try to incorporate more representative data.
I'll also try different splits
Thanks

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