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Results tagged with overfitting
Search options questions only
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user 33793
For questions related to the concept of overfitting in machine learning, which can be loosely defined as the gap between the performance on the training set and the performance on the test set.
4
votes
1
answer
120
views
Is there a way to ensure that my model is able to recognize an unseen example?
My question is more theoretical than practical. Let's say that I am training my cat classifier with a dataset that I feel is pretty representative of cat images in general. But then a new breed of cat …
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