Data Set Information:

该数据集包括美国众议院议员对CQA确定的16张关键选票的投票。CQA列出了九种不同类型的投票：投票赞成、配对赞成和宣布赞成（这三种简化为赞成）、投票反对、配对反对和宣布反对（这三种简化为反对）、投票出席、投票出席以避免利益冲突、未投票或以其他方式表明立场（这三种情况简化为未知处置）。

Attribute Information:

1. Class Name: 2 (democrat, republican)
  2. handicapped-infants: 2 (y,n)
  3. water-project-cost-sharing: 2 (y,n)
  4. adoption-of-the-budget-resolution: 2 (y,n)
  5. physician-fee-freeze: 2 (y,n)
  6. el-salvador-aid: 2 (y,n)
  7. religious-groups-in-schools: 2 (y,n)
  8. anti-satellite-test-ban: 2 (y,n)
  9. aid-to-nicaraguan-contras: 2 (y,n)
 10. mx-missile: 2 (y,n)
 11. immigration: 2 (y,n)
 12. synfuels-corporation-cutback: 2 (y,n)
 13. education-spending: 2 (y,n)
 14. superfund-right-to-sue: 2 (y,n)
 15. crime: 2 (y,n)
 16. duty-free-exports: 2 (y,n)
 17. export-administration-act-south-africa: 2 (y,n)

Relevant Papers:

Schlimmer, J. C. (1987).  Concept acquisition through representational adjustment.  Doctoral dissertation, Department of Information and Computer Science, University of California, Irvine, CA.
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