What To Do During Machine Learning Model Runs
Last Updated on June 7, 2016
There was a recent question that asked “How to not waste-time/procrastinate while ml scripts are running?“.
I think this is an important question. I think answers to this question show a level of organization or maturity in your approach to work.
I left a small comment on this question, but in this post I elaborate on my answer and give you a few perspectives on how to consider this question, minimize it and even avoid it completely.
Run fewer experiments
Consider why you are executing model runs. You are almost certainly performing a form of exploratory data analysis.
You are trying to understand your problem with the aim of achieving a result with a specific accuracy. You may want the result for a report or you may want the model to operationalized.