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Methods for feature selection using classifier ensemble based genetic algorithms
Methods for feature selection using classifier ensemble based genetic algorithms
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机译:使用基于分类器集成的遗传算法进行特征选择的方法
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摘要
Methods for performing genetic algorithm-based feature selection are provided herein. In certain embodiments, the methods include steps of applying multiple data splitting patterns to a learning data set to build multiple classifiers to obtain at least one classification resu integrating the at least one classification result from the multiple classifiers to obtain an integrated accuracy resu and outputting the integrated accuracy result to a genetic algorithm as a fitness value for a candidate feature subset, in which genetic algorithm-based feature selection is performed. FIG. 1
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