Algorithms for subsetting attribute values with Relief

Janez Demšar

doi:10.1007/s10994-009-5164-0

Algorithms for subsetting attribute values with Relief

2009-12-22

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Janez Demšar *

DOI：10.1007/s10994-009-5164-0

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Relief is a measure of attribute quality which is often used for feature subset selection. Its use in induction of classification trees and rules, discretization, and other methods has however been hindered by its inability to suggest subsets of values of discrete attributes and thresholds for splitting continuous attributes into intervals. We present efficient algorithms for both tasks.

Keyword:

Machine learning

Attribute quality estimation

Relief

Algorithms for subsetting attribute values with Relief

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