space-shuttle-o-ring-erosion (Machine Learning Data)
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Metadata
| Name | Challenger USA Space Shuttle O-Ring |
| Data types | Multivariate |
| Data task | Regression |
| Attribute types | Integer |
| Instances | 23 |
| Attributes | 4 |
| Year | 1993 |
| Area | Physical |
| Description | Task: predict the number of O-rings that experience thermal distress on a flight at 31 degrees F given data on the previous 23 shuttle flights |
Please cite the following if you use the data:
Note that if you transform/preprocess the data, please consider sharing the data by uploading it along with the details on the transformation and reference to any published materials using it.
@inproceedings{nr,
title={The Network Data Repository with Interactive Graph Analytics and Visualization},
author={Ryan A. Rossi and Nesreen K. Ahmed},
booktitle={AAAI},
url={https://networkrepository.com},
year={2015}
}
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