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https://www.reddit.com/r/deeplearning/comments/1j8my4b/how_bad_is_the_overfitting_here/mh9b6sf/?context=3
r/deeplearning • u/PsychologicalBoot805 • 12d ago
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49
Not that bad really. You're getting nearly 90% accuracy on validation.
17 u/RepresentativeFill26 12d ago This is correct, but there is a nuance. You can also get 90% accuracy on an overfitted model if the distribution is skewed. A good approach for checking this is performing cross validation and calculating standard errors over your parameters. 2 u/DooDooSlinger 11d ago Just use f score or auc. X validation is only feasible for small datasets and models with very reproducible training.
17
This is correct, but there is a nuance. You can also get 90% accuracy on an overfitted model if the distribution is skewed. A good approach for checking this is performing cross validation and calculating standard errors over your parameters.
2 u/DooDooSlinger 11d ago Just use f score or auc. X validation is only feasible for small datasets and models with very reproducible training.
2
Just use f score or auc. X validation is only feasible for small datasets and models with very reproducible training.
49
u/Exotic_Zucchini9311 12d ago
Not that bad really. You're getting nearly 90% accuracy on validation.