基于决策树算法在空气质量评估中的应用

Based on the Decision Tree Algorithm in Air Quality Assessment

本文在探讨空气质量评估常用方法的基础上提出结合决策树算法的评估方法。它基于ID3算法多值偏向的特点和属性相似度的决策树具有少值偏向的特点,并将两者结合起来,在选择测试属性时采用属性相似度作为校正系数的信息增益计算方法对空气质量进行评估。

In this paper, the effects of air quality assessment of the commonly used methods based on the combination of the assessment of the decision tree algorithm. It is based on the similarity of the decision tree of the characteristics and attributes of the ID3 algorithm for multi valued bias has less value bias characteristics, and combine the two properties in select test attributes similarity as information gain correction factor calculated for air quality for evaluation.