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.
What to do during machine learning model runs
Photo by Mark Fischer, some rights reserved
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.