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Results for overfitting underfitting
1
vote
Take a look at this article, it explains overfitting and underfitting fairly well. http://scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html The article … examines an example of signal data from a cosine function. The overfitting model predicts the signal to be slightly more complicated function (that is also based on a cosine function). However, the overfitted model concludes this based not on generalization but on memorization of noise in the signal data. …
answered Jan 7 '16 by Arnab Datta
0
votes
1answer
is also small (discarding overfitting and underfitting), what is mathematical proof for it. I found about that in this book http://www.deeplearningbook.org, chapter 5.2. Here is a part of that …
asked Apr 2 by Karen Melikyan
3
votes
that an ML system sometimes produces "incorrect" responses doesn't indicate anything. Overfitting is when the ML system performs extremely well on the training set and catastrophically poorly for even … relatively small departures from the training set. To show this requires showing poor performance on many examples which are near the training set. Overfitting is unlikely when the training set is …
answered Aug 17 by Derek Elkins
2
votes
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. …
answered Jan 7 '16 by Blackhawk