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I remember a lib that was like this but would use GANs etc to gen data. I tried it with little success, reverting to SMOTE. Wonder how this would do? My impress
by axpy906 3y ago
I remember a lib that was like this but would use GANs etc to gen data. I tried it with little success, reverting to SMOTE. Wonder how this would do? My impression is that tabular data is difficult to use synthetically.
- n4atki 3y agoSDV does offer a CTGANSynthesizer, which is a GAN-based generative approach. Could be worth a try, though CTGAN specifically may require customization (tweaking some parameters). That being said, synthetic data definitely isn't a magic pill for all use cases. I have found it particularly useful for things like QA, performance testing, etc. -- where alternative tools for test data creation aren't sufficient. For the use case of imbalanced classification: May be worth asking what is it about existing solutions (SMOTE) that doesn't work well?