HTTP/1.0 200 OK Date: Thu, 06 Jun 1996 00:48:30 GMT Server: Apache/1.0.5 Content-type: text/html Content-length: 4080 Last-modified: Tue, 26 Mar 1996 19:01:34 GMT UCI Machine Learning Repository [UCI Machine Learning Group]

Welcome to the UCI Machine Learning Repository!

This is a repository of databases, domain theories and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.

This repository includes over one hundred entries. In order to make searching for entries easier, we've set up a simple query capability. We've also created a summary page that lists each of the entries along with a brief description and relevant links.

In addition to being able to access this repository over the WWW, anonymous ftp access is also available (ftp to ftp.ics.uci.edu, then cd to pub/machine-learning-databases). Most entries tend to be in their own subdirectories. A compressed tar file (35M) of the entire reposotiry (current as of 3/21/96) is also available. For individual without ftp access, we maintain an archive-server.

An important file to read regarding the repository is the README file. It contain an overall description of the repository. Another file, SUMMARY-TABLE, contains a table of some of the databases. Each database is characterized by a fixed set of attributes.

A few of the databases have restricted access. These databases include: breast-cancer, lymphography, and primary-tumor.

The construction of this repository is an on-going process. The majority of the entries in the repository were contributed by machine learning researchers outside of UCI. If you have or know of an entry that we should include here, let us know. We are always interested in donations.

We also maintain a list of other machine learning sites. Some of these sites are repositories of databases, while other sites are repositories of programs and papers. General ML and AI related sites are also included in the list. Let us know if we are missing a cite that you have found useful. Note, we also maintain a repository of progams and papers (from researchers at UCI).

If you publish material based on databases obtained from this repository, then, in your acknowledgments, please note the assistance you received by using this repository. This will help others to obtain the same data sets and replicate your experiments. We suggest the following pseudo-APA reference format for referring to this repository:

Merz, C.J., & Murphy, P.M. (1996). UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.
If you have suggestions concerning the repository send email to ml-repository@ics.uci.edu.

Thank you and please come again.

Christopher J. Merz (Librarian)



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