13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)
December 22, 2021
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39:43Now Playing13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)
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as posted by the channelSebastian's books
This video explains how decision trees training can be regarded as an embedded method for feature selection. Then, we will also look at random forest feature importance and go over two different ways it's computed: (a) impurity-based and (b) permutation-based.
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This video is part of my Introduction of Machine Learning course.
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