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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). …
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. …
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. …
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. …