Always Measure Your Baseline — A Golden Rule for Data Scientists

You can easily find yourself set up for failure. Verifying and checking metrics before you start was one of the most valuable lessons I learned (the hard way).

Adam Sroka
Towards Data Science
5 min readJun 2, 2021

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Before starting any project to improve an existing model or process, be sure to check you’re not being measured unfairly (photo by William Warby on Unsplash)

Destined for failure

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Dr Adam Sroka, Head of Machine Learning Engineering at Origami Energy, is an experienced data and AI leader helping organisations unlock value from data.