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)
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 at
and were converted to R format by Evgenia Dimitriadou.
References
Newman, D.J. & Hettich, S. & Blake, C.L. & Merz, C.J. (1998).
UCI Repository of machine learning databases
[http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA:
University of California, Department of Information and Computer
Science.