This data set is from a simulation of a servo system
involving a servo amplifier, a motor, a lead screw/nut, and a
sliding carriage of some sort. It may have been on of the
translational axes of a robot on the 9th floor of the AI lab. In any
case, the output value is almost certainly a rise time, or the time
required for the system to respond to a step change in a position
set point. The variables that describe the data set and their values
are the following:
[,1]
Motor
A,B,C,D,E
[,2]
Screw
A,B,C,D,E
[,3]
Pgain
3,4,5,6
[,4]
Vgain
1,2,3,4,5
[,5]
Class
0.13 to 7.10
Usage
data(Servo)
Format
A data frame with 167 observations on 5 variables, 4 nominal and
1 as the target class.
Source
Creator: Karl Ulrich (MIT) in 1986
Donor: Ross Quinlan
These data have been taken from the UCI Repository Of Machine Learning
Databases at
and were converted to R format by Evgenia Dimitriadou.
References
1. Quinlan, J.R., "Learning with continuous classes", Proc. 5th
Australian Joint Conference on AI (eds A. Adams and L. Sterling),
Singapore: World Scientific, 1992
2. Quinlan, J.R., "Combining instance-based and model-based
learning", Proc. ML'93 (ed P.E. Utgoff), San Mateo: Morgan Kaufmann
1993
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.