提供者：杜成玉
下载地址：http://archive.ics.uci.edu/ml/machine-learning-databases/car/

数据来源：https://www.jianshu.com/p/be23b3870d2e

这是一个关于汽车测评的数据集，类别变量为汽车的测评，（unacc，ACC，good，vgood）分别代表（不可接受，可接受，好，非常好），而6个属性变量分别为「买入价」，「维护费」，「车门数」，「可容纳人数」，「后备箱大小」，「安全性」。值得一提的是6个属性变量全部是有序类别变量，比如「可容纳人数」值可为「2，4，more」，「安全性」值可为「low, med, high」。

数据集特征

数据来源：

特征：多变量
记录数：1728
属性特征：类别型
属性数目：6
相关应用：分类
缺失值？没有

相关论文

1.M. Bohanec and V. Rajkovic: Knowledge acquisition and explanation for multi-attribute decision making. In 8th Intl Workshop on Expert Systems and their Applications, Avignon, France. pages 59-78, 1988.
2.B. Zupan, M. Bohanec, I. Bratko, J. Demsar: Machine learning by function decomposition. ICML-97, Nashville, TN. 1997 (to appear)
3.Qingping Tao Ph. D. MAKING EFFICIENT LEARNING ALGORITHMS WITH EXPONENTIALLY MANY FEATURES. Qingping Tao A DISSERTATION Faculty of The Graduate College University of Nebraska In Partial Fulfillment of Requirements. 2004.
4.Daniel J. Lizotte and Omid Madani and Russell Greiner. Budgeted Learning of Naive-Bayes Classifiers. UAI. 2003.
5.Jianbin Tan and David L. Dowe. MML Inference of Decision Graphs with Multi-way Joins and Dynamic Attributes. Australian Conference on Artificial Intelligence. 2003.