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Results for overfitting underfitting
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1 vote

Why is overfitting bad?

Take a look at this article, it explains overfitting and underfitting fairly well. … The overfitting model predicts the signal to be slightly more complicated function (that is also based on a cosine function). …
Arnab Datta's user avatar
0 votes
2 answers
181 views

How can we get small test error reducing only train error?

We train network reducing train error and I was thinking about how then test error is also small (discarding overfitting and underfitting), what is mathematical proof for it. …
Karen Melikyan's user avatar
3 votes
Accepted

Are chatbots a good example of overfitting?

Overfitting is unlikely when the training set is large compared to the number of parameters of the ML system (e.g. the weights of a neural network). … You can get nonsensical answers just as well from underfitting or false generalizations. …
Derek Elkins left SE's user avatar
2 votes

Why is overfitting bad?

Both overfitting and underfitting can be bad, but I would say that it depends upon the context of the problem you are trying to solve which one worries you more. …
Blackhawk's user avatar
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