https://github.com/ekstroem/fv2019
Danish general election prediction competition
https://github.com/ekstroem/fv2019
danish election prediction r
Last synced: 11 months ago
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Danish general election prediction competition
- Host: GitHub
- URL: https://github.com/ekstroem/fv2019
- Owner: ekstroem
- Created: 2019-05-20T10:18:10.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-06-06T08:34:36.000Z (about 7 years ago)
- Last Synced: 2024-10-15T04:11:59.992Z (over 1 year ago)
- Topics: danish, election, prediction, r
- Language: HTML
- Size: 345 KB
- Stars: 3
- Watchers: 3
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# FV2019
Danish general election prediction competition
This is for submitting entries for predictoin the distribution of legal votes in the upcoming Danish election. The rules of the competition is as follows:
* The competition is about predicting the votes given to each of the parties eligible for the Danish parliament.
* The deadline for submitting entries is **May 31st 2019 at midnight (CET)**.
* A submission consists of a pull request to this repository with an R data object saved with `save()`. Name the `R` object and the file the same, and don't use a name that is already in use.
* Each person should only submit one entry
* A prediction consists of a data frame with two columns: `party` and `percent`. The `percent` column will subsequently be scaled such that it sums to 100.
A blueprint for an `R` object to submit is
```
mypred <- data.frame(party=c("A", "B", "C", "D", "E", "F", "I", "K", "O", "P", "V", "OE", "AA"),
percent=rep(1/13, 13))
```
* Each prediction is score by the Brier score: the mean squared prediction error when comparing to the actual distribution of votes after the election. Smallest score wins.