How to Improve my ML Algorithm? Lessons from Andrew Ng’s Experience

I love this post. It's fairly short but provides super-useful and actionable advice for of your data science model optimization. My favorite is the F1 score:

Rather than using two numbers, precision and recall, to pick a classifier, you just have to find a new evaluation metric that combines precision and recall. In the machine learning literature, the standard way to combine precision and recall is something called an F1 score.


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