Submit model before end competition?

Great questions! What is meant with model? “Model” is code that turns an MRI into two volume numbers. It includes parameters, seeds, references to external libraries, etc. We have some rough best practices here (these are not mandatory, but help you and the host) – https://www.kaggle.com/wiki/ModelSubmissionBestPractices If a bug pops up on the final test data, does that mean that you cannot fix your stupid divide-by-zero? We make reasonable allowances for bug fixes like this. Still, you should make every effort to build error handling into your pipeline. The less you need to fix when the new test set comes out, the less chance you will need to justify your changes. Can you do an unsupervised training on the test data before evaluating the test data on your final model?…


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