机器学习_LEDDisplayDomainDataS

1、LED Display Domain Data Set(LED显示域数据集数据摘要：From Classification and Regression Trees book; We provide here 2 C programs for generating sample databases中文关键词：机器学习,LED 显示, 域, 分类, 多变量,UCI,英文关键词：Machine Learning,LEDDisplay,Domain,Classification,MultiVarite,UCI,数据格式：TEXT数据用途：This data is used for classific

2、ation.数据详细介绍：LED Display Domain Data SetAbstract : From Classification and Regression Trees book; We provide here 2 C programs for generating sample databases. Source:Original Source:Breiman,L., Friedman,J.H., Olshen,R.A., & Stone,C.J. (1984.Classification and Regression Trees. Wadsworth Interna

3、tional Group: Belmont, California. (see pages 43-49.Donor:David AhaData Set Information:This simple domain contains 7 Boolean attributes and 10 concepts, the set of decimal digits. Recall that LED displays contain 7 light-emitting diodes - hence the reason for 7 attributes. The problem would be easy

4、 if not for the introduction of noise. In this case, each attribute value has the 10% probability of having its value inverted.It's valuable to know the optimal Bayes rate for these databases. In this case, themisclassification rate is 26% (74% classification accuracy.Attribute Information:- All

5、 attribute values are either 0 or 1, according to whether the corresponding light is on or not for the decimal digit.- Each attribute (excluding the class attribute, which is an integer ranging between 0 and 9 inclusive has a 10% percent chance of being inverted.Relevant Papers:Breiman,L., Friedman,

6、J.H., Olshen,R.A., & Stone,C.J. Classification and Regression Trees. Wadsworth International Group: Belmont, California. 1984. (see pages 43-49.Quinlan,J.R. (1987. Simplifying Decision Trees. In International Journal of Man-Machine Studies.Tan,M. & Eshelman,L. (1988. Using Weighted Networks to Represent ClassificationKnowledge in Noisy Domains. In Proceedings of the 5th Internat