pub fn shuttle() -> Result<DataFrame, PolarsError>Expand description
§Space Shuttle Autolander Problem
§Description:
The ‘shuttle’ data frame has 256 rows and 7 columns. The first six columns are categorical variables giving example conditions; the seventh is the decision. The first 253 rows are the training set, the last 3 the test conditions.
§Usage:
shuttle
§Format:
This data frame contains the following factor columns:
- ‘stability’ stable positioning or not (‘stab’ / ‘xstab’).
- ‘error’ size of error (‘MM’ / ‘SS’ / ‘LX’ / ‘XL’).
- ‘sign’ sign of error, positive or negative (‘pp’ / ‘nn’).
- ‘wind’ wind sign (‘head’ / ‘tail’).
- ‘magn’ wind strength (‘Light’ / ‘Medium’ / ‘Strong’ / ‘Out of Range’).
- ‘vis’ visibility (‘yes’ / ‘no’).
- ‘use’ use the autolander or not. (‘auto’ / ‘noauto’.)
§Source:
D. Michie (1989) Problems of computer-aided concept formation. In Applications of Expert Systems 2, ed. J. R. Quinlan, Turing Institute Press / Addison-Wesley, pp. 310-333.
§References:
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.