2min chapter

The Data Scientist Show cover image

How to effectively test and debug machine learning models, from ML engineer@Apple to startup founder - Gabriel Bayomi - the data scientist show #055

The Data Scientist Show

CHAPTER

Is There a Core Metric That I Care About?

Before you start a model, you need to think about what is the metric that I care about. So for example, like you mentioned, if I care about Asia, then maybe if I increase the accuracy in Asia to say 90% and the global is like 80%. I'm happy instead of to have 85% model, right? Maybe for this category, for this area in like in Asia, it doesn't work well. What are you going to do?

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