A Simple Evaluation Model for Feature Subset Selection Algorithms.
نویسندگان
چکیده
منابع مشابه
A Simple Evaluation Model for Feature Subset Selection Algorithms
The aim of Feature Subset Selection – FSS – algorithms is to select a subset of features from the original set of features that describes a data set according to some importance criterion. To accomplish this task, FSS removes irrelevant and/or redundant features, as they may decrease data quality and reduce several of the desired properties of classifiers induced by supervised learning algorith...
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Subset Feature Selection problems can have several attributes which may make Messy Ge netic Algorithms an appropriate optimization method First competitive solutions may of ten use only a small percentage of the total available features this can not only o er an advantage to Messy Genetic Algorithms it may also cause problems for other types of evolutionary algorithms Second the evalu ation of ...
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ژورنال
عنوان ژورنال: INTELIGENCIA ARTIFICIAL
سال: 2006
ISSN: 1988-3064,1137-3601
DOI: 10.4114/ia.v10i32.923