# 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
shuttle-landing-control
OpenML dataset with id 172