shuttle-landing-control
type: Item
instance of: data set
OpenML dataset ID: 172
dataset version identifier: 1
description: # Space Shuttle Autolanding Domain\N \NNASA: Mr. Roger Burke's autolander design team\N\N##### Past Usage: (several, it appears)\N Example: Michie,D. (1988). The Fifth Generation's Unbridged Gap.\N In Rolf Herken (Ed.) The Universal Turing Machine: A\N Half-Century Survey, 466-489, Oxford University Press.\N \N##### Relevant Information:\N This is a tiny database. Michie reports that Burke's group used\N RULEMASTER to generate comprehendable rules for determining\N the conditions under which an autolanding would be preferable to\N manual control of the spacecraft.\N \N##### Number of Instances:\N15\N \N##### Number of Attributes: \N7 (including the class attribute)\N \N##### Attribute Information:\N 1. Class: noauto, auto\N -- that is, advise using manual/automatic control\N 2. STABILITY: stab, xstab\N 3. ERROR: XL, LX, MM, SS\N 4. SIGN: pp, nn\N 5. WIND: head, tail\N 6. MAGNITUDE: Low, Medium, Strong, OutOfRange\N 7. VISIBILITY: yes, no\N \N##### Missing Attribute Values:\N -- none\N -- but several "don't care" values: (denoted by "*")\N Attribute Number: Number of Don't Care Values:\N 2: 2\N 3: 3\N 4: 8\N 5: 8\N 6: 5\N 7: 0\N \N##### Class Distribution:\N 1. Use noauto control: 6\N 2. Use automatic control: 9%\N Information about the dataset\\N CLASSTYPE: nominal\\N CLASSINDEX: first
author name string: Bojan Cestnik Jozef Stefan Institute
collection date: 11-1998
upload date: 2014-04-23T00:00:00Z
full work available at URL: shuttle-landing-control.arff
default target attribute: Class
OpenML semantic tag: Astronomy
OpenML semantic tag: Computer Systems
number of binary features: 5
number of classes: 2
number of features: 7
number of instances: 15
number of instances with missing values: 9
number of missing values: 26
number of numeric features: 0
number of symbolic features: 7
file format: ARFF
MaRDI profile type: Dataset
description: OpenML dataset with id 172