Feature Importance May Be Lying To You

There’s a new alternative that’s much more accurate

Preston Badeer
Towards Data Science
6 min readJun 18, 2020

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Photo by Paweł Czerwiński on Unsplash

I love random forest models. They’re easy to set up, don’t require much power to train, and are easy to understand. It’s also one of the first models I used in production.

Random forest is an Interpretable Model, meaning you can see what it’s doing behind-the-scenes. Being interpretable…

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Founder of VDP, posting about 🦾AI, 🤖LLM, 📊data products, and 📈data engineering.