I was reading a tutorial for time series prediction by Neural Networks. I found that this code have used the same test data in the following code for validation, and later also for prediction.
history = model.fit(train_X, train_y, epochs=50, batch_size=72, validation_data=(test_X, test_y), verbose=2, shuffle=False) Does it mean that the validation and test data are the same, or there is a default percentage to split the data into validation and prediction? -- https://mail.python.org/mailman/listinfo/python-list
