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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
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Val loss initially decreases, then increases
The point where the validation loss starts to grow is where the training starts to overfit the model, i.e. it is memorizing your training data and getting worse at generalizing to new data.
There are …