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Results tagged with overfitting
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user 29995
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.
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Is k-fold cross-validation more effective than splitting the dataset into training and test ...
Note that overfitting can be (partially) remedied by things such as dropout. …
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