一种改进的决策树遗传算法融合模型

An Improved Model Based on Decision Tree and Genetic Algorithm

针对目前遗传算法存在随机性大、收敛速度慢等缺点,文章提出了一种改进的决策树遗传算法融合模型。该分类模型充分发挥了遗传算法的优点,有效提高分类的准确度,将模型应用到电信行业客户流失分析中,验证了该算法的可行性和有效性。

There are some shortcomings in genetic algorithm, such as big randomness, slow velocity of convergence. Then a classification algorithm, which is combined by decision tree and improved genetic algorithm, is put forward. The algorithm fully displays the excellence of genetic algorithm and efficiently improves the accuracy of classification. At last this algorithm is applied to the telecommunications industry customer loss analysis to confirm the efficient of algorithm.