Evaluation Metrics are What You Need to Define in the Earlier Stage

Author(s): Edward Ma

Originally published on Towards AI.

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Photo by Edward Ma on Unsplash

If you do not know how to justify whether model is good or not, it is similar to you want to get something but you do not know what it is. After working as a Data Scientist for a few years, I strongly believe that metrics are very important things to define at the earlier stage.

In this series of stories, I will cover some common metrics we should use when measuring model how good it is. Precision and Mean Squared Error (MSE) may come up immediately when talking about metrics. However, I want to highlight… Read the full blog for free on Medium.

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Published via Towards AI