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Drum Roll Sound Effect. Keyboard Typing Sound. Donor: David W. Aha aha ' ' ics. This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to this date. The "goal" field refers to the presence of heart disease in the patient. It is integer valued from 0 no presence to 4.

Experiments with the Cleveland database have concentrated on simply attempting to distinguish presence values 1,2,3,4 from absence value 0. The names and social security numbers of the patients were recently removed from the database, replaced with dummy values. One file has been "processed", that one containing the Cleveland database. All four unprocessed files also exist in this directory. Only 14 attributes used: 1. Detrano, R. International application of a new probability algorithm for the diagnosis of coronary artery disease.

American Journal of Cardiology, 64, Models of incremental concept formation. Artificial Intelligence, 40, Zhi-Hua Zhou and Yuan Jiang. IEEE Trans. Data Eng, Remco R. Bouckaert and Eibe Frank. Gavin Brown. Diversity in Neural Network Ensembles. The University of Birmingham. Lyu and Laiwan Chan. Jeroen Eggermont and Joost N. Kok and Walter A. Genetic Programming for data classification: partitioning the search space. David Page and Soumya Ray. Jinyan Li and Limsoon Wong.

Rule Learning based on Neural Network Ensemble. Baback Moghaddam and Gregory Shakhnarovich. Boosted Dyadic Kernel Discriminants. Saunders and I. Nouretdinov V.. The typicalness framework: a comparison with the Bayesian approach. Department of Computer Science. Buxton and Sean B. IWANN 1. Peter L. Thomas G. Machine Learning, Lorne Mason and Peter L. Bartlett and Jonathan Baxter. An Implementation of Logical Analysis of Data. On predictive distributions and Bayesian networks.

Department of Computer Science, Stanford University. Rudy Setiono and Wee Kheng Leow. Intell, Kristin P. Yoav Freund and Lorne Mason. Institute of Information Science. Kai Ming Ting and Ian H. Issues in Stacked Generalization. JAIR, Representing the behaviour of supervised classification learning algorithms by Bayesian networks. Pattern Recognition Letters, Jan C.

Bioch and D. Meer and Rob Potharst. Bivariate Decision Trees. Randall Wilson and Roel Martinez. In Fisher. Pedro Domingos.



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