Question
Consider this scenario: the loss function during a training process keeps decreasing for the training set, but it doesn't decrease at all for the testing
Consider this scenario: the loss function during a training process keeps decreasing for the training set, but it doesn't decrease at all for the testing set. Any guess why?
Overfitting
Underfitting
the training set is not a good representative of the whole data-set
The selected algorithm is not working properly
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Sampling
Authors: Steven K Thompson
3rd Edition
111816296X, 9781118162965
