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13.4.2 Feature Permutation Importance (L13: Feature Selection)

Published: 29 December 2021
on channel: Sebastian Raschka
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Sebastian's books: https://sebastianraschka.com/books/

This video introduces permutation importance, which is a model-agnostic, versatile way for computing the importance of features based on a machine learning classifier or regression model.

Slides: https://sebastianraschka.com/pdf/lect...

Random forest importance video:    • 13.3.2 Decision Trees & Random Forest...  


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This video is part of my Introduction of Machine Learning course.

Next video:    • 13.4.3 Feature Permutation Importance...  

The complete playlist:    • Intro to Machine Learning and Statist...  

A handy overview page with links to the materials: https://sebastianraschka.com/blog/202...

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If you want to be notified about future videos, please consider subscribing to my channel:    / sebastianraschka  

Watch video 13.4.2 Feature Permutation Importance (L13: Feature Selection) online without registration, duration hours minute second in high quality. This video was added by user Sebastian Raschka 29 December 2021, don't forget to share it with your friends and acquaintances, it has been viewed on our site 14,281 once and liked it 300 people.

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