Servo Data

Description

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:

Usage

data("Servo", package = "mlbench")

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 (Blake and 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 Servo data set is available from doi:10.24432/C5Q30F.

References

Blake CL, Merz CJ (1998). “UCI Repository of Machine Learning Databases.” University of California, Irvine, Department of Information and Computer Science. Formerly available from ‘⁠http://www.ics.uci.edu/~mlearn/MLRepository.html⁠’. Quinlan JR (1993). “Combining Instance-Based and Model-Based Learning.” In Proceedings of the Tenth International Conference on International Conference on Machine Learning, series ICML'93, 236–243. ISBN 1558603077. Quinlan R (1992). “Learning with Continuous Classes.” In Proceedings of the Australian Joint Conference on Artificial Intelligence, 343–348. World Scientific, Singapore.

Examples

data("Servo", package = "mlbench")
summary(Servo)