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Lecture 5: Causality and Feature Selection

Lecture 5: Causality and Feature Selection. Isabelle Guyon isabelle@clopinet.com. Variable/feature selection. Y. X. Remove features X i to improve (or least degrade) prediction of Y. What can go wrong?. Guyon-Aliferis-Elisseeff, 2007. What can go wrong?. X 2. Y. Y. X 2. X 1. X 1.

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490 views • 32 slides

Lecture 3: Causality and Feature Selection

Lecture 3: Causality and Feature Selection. Isabelle Guyon isabelle@clopinet.com. Variable/feature selection. Y. X. Remove features X i to improve (or least degrade) prediction of Y. What can go wrong?. Guyon-Aliferis-Elisseeff, 2007. What can go wrong?. X 2. Y. Y. X 2. X 1. X 1.

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335 views • 32 slides

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Causal feature relevance - PowerPoint PPT Presentation

Lecture 5: Causality and Feature Selection

Lecture 3: Causality and Feature Selection