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On evaluating models, either in-sample or out-of-sample.
1
vote
Training error less than validation error, but higher than test error?
One of the best ways to check if the model is doing good is to build a graph between the training error and validation error. Ideally it should look something like this.
Graph from LSTM based stock …
3
votes
Accepted
Should I Choose the best model based on test error or validation error?
Model training is done over multiple epochs. With every epoch, the model learns using training data and then performs prediction over validation data. Ideally, with passing EPOCHS your training accura …