Creator:

Karl Ulrich (MIT)

Donor:

Ross Quinlan

Data Set Information:

Ross Quinlan:

This data was given to me by Karl Ulrich at MIT in 1986.  I didn't record his description at the time, but here's his subsequent (1992) recollection:

"I seem to remember that the data was 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."

(Quinlan, ML'93)

"This is an interesting collection of data provided by Karl Ulrich.  It covers an extremely non-linear phenomenon - predicting the rise time of a servomechanism in terms of two (continuous) gain settings and two (discrete) choices of mechanical linkages."

Attribute Information:

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

Relevant Papers:

Quinlan, J.R., "Learning with continuous classes", Proc. 5th Australian Joint Conference on AI (eds A. Adams and L. Sterling), Singapore: World Scientific, 1992
[Web link]

Quinlan, J.R., "Combining instance-based and model-based learning", Proc. ML'93 (ed P.E. Utgoff), San Mateo: Morgan Kaufmann 1993
[Web link]