Shuttle Landing Control
Donated on 10/31/1988
Tiny database; all nominal values
Dataset Characteristics
Multivariate
Subject Area
Physics and Chemistry
Associated Tasks
Classification
Feature Type
Categorical
# Instances
15
# Features
6
Dataset Information
Additional Information
This is a tiny database. Michie reports that Burke's group used RULEMASTER to generate comprehendable rules for determining the conditions under which an autolanding would be preferable to manual control of the spacecraft.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Class | Target | Integer | no | ||
| STABILITY | Feature | Integer | yes | ||
| ERROR | Feature | Integer | yes | ||
| SIGN | Feature | Integer | yes | ||
| WIND | Feature | Integer | yes | ||
| MAGNITUDE | Feature | Integer | yes | ||
| VISIBILITY | Feature | Integer | no |
0 to 7 of 7
Additional Variable Information
1. Class: noauto, auto -- that is, advise using manual/automatic control 2. STABILITY: stab, xstab 3. ERROR: XL, LX, MM, SS 4. SIGN: pp, nn 5. WIND: head, tail 6. MAGNITUDE: Low, Medium, Strong, OutOfRange 7. VISIBILITY: yes, no
Dataset Files
| File | Size |
|---|---|
| shuttle-landing-control.names | 1.6 KB |
| shuttle-landing-control.data | 210 Bytes |
| Index | 162 Bytes |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset shuttle_landing_control = fetch_ucirepo(id=88) # data (as pandas dataframes) X = shuttle_landing_control.data.features y = shuttle_landing_control.data.targets # metadata print(shuttle_landing_control.metadata) # variable information print(shuttle_landing_control.variables)
Shuttle Landing Control [Dataset]. (1988). UCI Machine Learning Repository. https://doi.org/10.24432/C57S34.
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.