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在现有的对于属性选择所做工作的基础上,提出了一种基于信息增益和遗传算法的属性选择方法。通过实验结果与其他的属性选择方法的比较,发现这种基于最基于信息增益和遗传算法的属性选择方法能够从一定程度上提高属性选择算法的效率。
Based on the existing work on attribute selection, an attribute selection method based on information gain and genetic algorithm is proposed. By comparing the experimental results with other attribute selection methods, it is found that this attribute selection method based on the most information gain-based and genetic algorithm can improve the efficiency of the attribute selection algorithm to a certain extent.