MPG数据集，城市循环燃油消耗量预测

该数据集取自卡内基梅隆大学的StatLib图书馆。该数据集用于1983年美国统计协会博览会。 Data Set Information: 此数据集是StatLib库中提供的数据集的稍微修改版本。根据Ross Quinlan（1993）在预测属性“mpg”时的使用，删除了8个原始实例，因为它们的“mpg”属性值未知。原始数据集位于文件“auto mpg.data original”中。 “数据涉及城市循环燃油消耗量，单位为英里/加仑，根据3个多值离散和5个连续属性进行预测。”（昆兰，1993年） Attribute Information: 1.mpg：连续 2.圆柱：多值离散 3.位移：连续 4.马力：连续 5.重量：连续 6.加速度：连续 7.车型年款：多值离散型 8.起源：多值离散 9汽车名称：字符串（每个实例都是唯一的） Relevant Papers: Quinlan,R. (1993). Combining Instance-based and Model-based Learning. In Proceedings on the Tenth International Conference of Machine Learning, 236-243, University of Massachusetts, Amherst. Morgan Kaufmann. [Web link] Papers That Cite This Data Set1: Dan Pelleg. Scalable and Practical Probability Density Estimators for Scientific Anomaly Detection. School of Computer Science Carnegie Mellon University. 2004. [View Context]. 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. [View Context]. Christopher R. Palmer and Christos Faloutsos. Electricity based External Similarity of Categorical Attributes. PAKDD. 2003. [View Context]. Jinyan Li and Kotagiri Ramamohanarao and Guozhu Dong. Combining the Strength of Pattern Frequency and Distance for Classification. PAKDD. 2001. [View Context]. Thomas Melluish and Craig Saunders and Ilia Nouretdinov and Volodya Vovk and Carol S. Saunders and I. Nouretdinov V.. The typicalness framework: a comparison with the Bayesian approach. Department of Computer Science. 2001. [View Context]. Wai Lam and Kin Keung and Charles X. Ling. PR 1527. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong. 2001. [View Context]. Dan Pelleg and Andrew W. Moore. Mixtures of Rectangles: Inte