【摘要】 决策树是机器学习和数据挖掘领域中一种基本的学习方法。文中分析了C4.5算法以及该算法不足之处,提出了一种决策树裁剪算法,其中以规则信息量作为判断标准。实验结果表明这种方法可以提高最终模型的预测精度,并能够很好克服数据中的噪音。更多还原

【Abstract】 Decision tree is a basic learning method in machine learning and data mining.An algorithm was presented to prune a decision tree with a set of rules that are converted from C4.5,where rule information was used as a pruning criterion.The empirical results demonstrate that the proposed pruning algorithm has high predict accuracy and good noise-tolerance.更多还原