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Visits since 05/11/2005:
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| KEEL-dataset - data set description |
This section describes main characteristics of the shuttle data set and its attributes:
General information
| Statlog (Shuttle) data set | |||
|---|---|---|---|
| Type | Classification | Origin | Real world |
| Features | 9 | (Real / Integer / Nominal) | (0 / 9 / 0) |
| Instances | 58000 | Classes | 7 |
| Missing values? | No | ||
Attribute description
| Attribute | Domain |
|---|---|
| A1 | [27,126] |
| A2 | [-4821,5075] |
| A3 | [21,149] |
| A4 | [-3939,3830] |
| A5 | [-188,436] |
| A6 | [-26739,15164] |
| A7 | [-48,105] |
| A8 | [-353,270] |
| A9 | [-356,266] |
| Class | {1, 2, 3, 4, 5, 6, 7} |
Additional information
This data set was generated originally to extract comprehensible rules for determining the conditions under which an autolanding would be preferable to manual control of a spacecraft.
The task is to decide what type of control of the vessel should be employed.
The shuttle dataset contains 9 attributes all of which are numerical. There are 7 possible values for the class label:
- 1: Rad Flow
- 2: Fpv Close
- 3: Fpv Open
- 4: High
- 5: Bypass
- 6: Bpv Close
- 7: Bpv Open
In this section you can download some files related to the shuttle data set:
- The complete data set already formatted in KEEL format can be downloaded from
here
. - A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from here.
- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here.
- The header file associated to this data set can be downloaded from here
. - This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository. The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Statlog+%28Shuttle%29.
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