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)

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

• ftp://ftp.ics.uci.edu/pub/machine-learning-databases
• http://www.ics.uci.edu/~mlearn/MLRepository.html

and were converted to R format by Evgenia.Dimitriadou@ci.tuwien.ac.at.