Closed arnaudstiegler closed 4 years ago
I am re-running training and saving the model :) hopefully you won't have to deal with it
Figured out where the discrepancy comes from! The stacked model requires normalized input, so I just added a normalization operation before feeding the test data to predict on and now the accuracy is pretty much the same as the concatenated model!
You can close this once you've seen my reply if you have no questions :)
Just noticed that the stacked_final model has 36% accuracy on validation set in my evaluation notebook but the last model trained on the notebook in
improvement/training_stacked.ipynb
is way higher. I think this might be due to having the wrong stacked_final model save, but there could potentially be an issue with it. Won't be able to deal with that until Tuesday