HouseVotes84: United States Congressional Voting Records 1984

In mlbench: Machine Learning Benchmark Problems

United States Congressional Voting Records 1984

Description

This data set includes votes for each of the U.S. House of Representatives Congressmen on the 16 key votes identified by the CQA. The CQA lists nine different types of votes: voted for, paired for, and announced for (these three simplified to yea), voted against, paired against, and announced against (these three simplified to nay), voted present, voted present to avoid conflict of interest, and did not vote or otherwise make a position known (these three simplified to an unknown disposition).

Usage

data("HouseVotes84", package = "mlbench")

Format

A data frame with 435 observations on 17 variables:

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)

Source

• Source: Congressional Quarterly Almanac, 98th Congress, 2nd session 1984, Volume XL: Congressional Quarterly Inc., ington, D.C., 1985

• Donor: Jeff Schlimmer ([e-mail])

These data have been taken from the UCI Repository Of Machine Learning Databases (Blake & Merz 1998) and were converted to R format by Friedrich Leisch in the late 1990s.

The current version of the UC Irvine Machine Learning Repository Congressional Voting Records data set is available from \Sexpr[results=rd]{tools:::Rd_expr_doi("10.24432/C5C01P")}.

References

Blake, C.L. & Merz, C.J. (1998). UCI Repository of Machine Learning Databases. Irvine, CA: University of California, Irvine, Department of Information and Computer Science. Formerly available from ‘⁠http://www.ics.uci.edu/~mlearn/MLRepository.html⁠’.

Examples

data("HouseVotes84", package = "mlbench")
summary(HouseVotes84)

mlbench documentation built on May 29, 2024, 4:49 a.m.