houseVotes84 | R Documentation |
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). Originally containing a binomial variable "class" and 16 other binary variables, those 16 variables have been renamed to simply "V1","V2",...,"V16".
A data frame containing:
Class | Boolean variable |
V1 | Boolean variable |
V2 | Boolean variable |
V3 | Boolean variable |
V4 | Boolean variable |
V5 | Boolean variable |
V6 | Boolean variable |
V7 | Boolean variable |
V8 | Boolean variable |
V9 | Boolean variable |
V10 | Boolean variable |
V11 | Boolean variable |
V12 | Boolean variable |
V13 | Boolean variable |
V14 | Boolean variable |
V15 | Boolean variable |
V16 | Boolean variable |
UCI Machine Learning Repository
data(houseVotes84, package = "pmml")
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