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 |
data(Servo)A data frame with 167 observations on 5 variables, 4 nominal and 1 as the target class.
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.