| Shuttle {mlbench} | R Documentation |
Shuttle Dataset (Statlog version)
Description
The shuttle dataset contains 9 attributes all of which are numerical with the first one being time. The last column is the class with the following 7 levels: Rad.Flow, Fpv.Close, Fpv.Open, High, Bypass, Bpv.Close, Bpv.Open.
Approximately 80% of the data belongs to class 1. Therefore the default accuracy is about 80%. The aim here is to obtain an accuracy of 99 - 99.9%.
Usage
data("Shuttle", package = "mlbench")
Format
A data frame with 58,000 observations on 9 numerical independent variables and 1 target class.
Source
Source: Jason Catlett of Basser Department of Computer Science; University of Sydney; N.S.W.; Australia.
These data have been taken from the UCI Repository Of Machine Learning Databases (Blake & Merz 1998) and were converted to R format by Evgenia Dimitriadou in the late 1990s.
The current version of the UC Irvine Machine Learning Repository Statlog Shuttle data set is available from doi:10.24432/C5WS31.
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("Shuttle", package = "mlbench")
summary(Shuttle)