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University Data Set
Download: Data Folder, Data Set Description

Abstract: Data in original (LISP-readable) form

Data Set Characteristics:  


Number of Instances:




Attribute Characteristics:

Categorical, Integer

Number of Attributes:


Date Donated


Associated Tasks:


Missing Values?


Number of Web Hits:



Original Owner:



Steve Souders <souders '@'>

Data Set Information:

Format: Each observation concerns one university. In some cases, more information is provided about the attribute (e.g., units or domain). Some duplicates may exist and a single observation may have more than one value for a given attribute (esp. academic emphasis).

It appears that several attributes could serve as a distinguished class attribute for this database. The data file remains in the state as given to us by Steve Souders. It is a LISP readable file with a few relevant functions at the end of the data file. The info on missing data values have not been calculated. We hope to get to this in the future.

Attribute Information:

1. University-name
2. State
3. location
4. Control
5. number-of-students
6. male:female (ratio)
7. student:faculty (ratio)
8. sat-verbal
9. sat-math
10. expenses
11. percent-financial-aid
12. number-of-applicants
13. percent-admittance
14. percent-enrolled
15. academics
16. social
17. quality-of-life
18. academic-emphasis

Relevant Papers:

Lebowitz M. "Concept learning in a rich input domain : generalization-based memory." Machine Learning, Vol 2, No 2, September 1987.
[Web Link]

Citation Request:

Please refer to the Machine Learning Repository's citation policy

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