13.4.2 Feature Permutation Importance (L13: Feature Selection)

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/lecture-notes/stat451fs21/13_feat-sele__slides.pdf Random forest importance video: https://youtu.be/ycyCtxZ0a9w ------- This video is part of my Introduction of Machine Learning course. Next video: https://youtu.be/meTXOuFV-s8 The complete playlist: https://www.youtube.com/playlist?list=PLTKMiZHVd_2KyGirGEvKlniaWeLOHhUF3 A handy overview page with links to the materials: https://sebastianraschka.com/blog/2021/ml-course.html ------- If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka