Use evaluate
on model
and pass X_test_scaled, y_test
as input arguments to the method.
model.<< your code comes here >>(<< your code comes here >>)
Observe the values of loss and mae. These values are nearly the same as those of the train and validation datasets. Also, the values are low. Hence our model hasn't been overfitted and is giving a decent performance.
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