Sebastian Raschka
@sebastianraschka·88.6K subscribers·307 videos
13.4.4 Sequential Feature Selection (L13: Feature Selection)
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January 5, 2022
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This video explains how sequential feature selection works. Sequential feature selection is a wrapper method for feature selection that uses the performance (e.g., accuracy) of a classifier to select good feature subsets in an iterative fashion. You can think of sequential feature selection method as an efficient approximation to an exhaustive feature subset search.
Sequential feature selection paperFerri, F. J., Pudil P., Hatef, M., Kittler, J. (1994). "Comparative study of techniques for largescale feature selection." Pattern Recognition in Practice IV 403413.
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