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Name:

Description:

The shuttle data frame has 256 rows and 8 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.

Variables:

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.)

Link To Google Sheets:

Rows:

Columns:

License Type:

References/Notes/Attributions:

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.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Space_Shuttle_Autolander_Problem_1223_87.csv")

R Coding Interface:


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