A hybrid feature subset selection by combining filters and genetic algorithm
作者： Suriender Singh , S. Selvakumar
DOI: 10.1109/CCAA.2015.7148389
关键词: Decision tree 、 Optimization problem 、 Population 、 Dimensionality reduction 、 Data classification 、 Feature selection 、 Pattern recognition 、 Computer science 、 Data mining 、 Artificial intelligence 、 Linear classifier 、 Genetic algorithm
摘要: The presence of a large number irrelevant features degrades the classifier accuracy, reduces understanding data, and increases overall time needed for training classification. Hence, Feature selection is critical step in machine learning process. role feature to select subset size ‘d’ (d
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