决策树在汽车评测中的应用研究

Application of Decision Tree in Car Evaluation

阐述了ID3决策树算法原理,分析了汽车评测数据,提出了应用决策树来处理汽车评测问题的方法,该方法利用训练数据的信息增益来构建评测模型,并通过对评测模型的查找来完成其它数据的分类预测.实验结果表明:利用决策树来处理汽车评测问题具有良好的预测准确率.

Based on the principle of decision tree and the data analysis of car evaluation, ID3 decision tree algorithms is applied to car evaluation. A car evaluation model was established by using information gain of samples, and was used for classification. Experiments shows that the classification of decision tree constructed by ID3 algorithm in car evaluation has high accuracy.