Published February 27, 2023 | Version v1

Training datasets of size 1K, 3K, and 9K for four utility function variants

Authors/Creators

  • 1. Hasso Plattner Institute for Digital Engineering

Contributors

Researcher:

  • 1. Hasso Plattner Institute for Digital Engineering

Description

The datasets include 1K, 3K, and 9K training data points that are used for training utility-change prediction models in systems with ground truth from four different mathematical complexities:

  • Linear utility function
  • Saturating utility function
  • Discontinuous utility function
  • Combined utility function ( combining the above three variants)

Files

Combined1K.csv

Files (7.0 MB)

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md5:65c66cba5ceb61fc60a27850912af37e
168.4 kB Preview Download
md5:906f49287f6c804fc772a71aa8b72070
392.0 kB Preview Download
md5:607750347b6c52e0645749cf1a56d7d9
1.1 MB Preview Download
md5:5188f3e8b06a30c3bcbc4653086ebcc0
151.4 kB Preview Download
md5:9753d110bac70f5d11ef1a2ed1a781e5
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md5:7a69bf5e400b9e97b6aa4822f65f29ef
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md5:0289a0b6743e0797fe6eaa9784e1ae5d
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md5:8f401eb3f124992873033e40bc0a76bc
341.4 kB Preview Download
md5:4c33c6949946bdef8e1618a44dbbaf8c
1.3 MB Preview Download
md5:78a8f714fcbff2d0a788dcbff4c5377a
135.9 kB Preview Download
md5:54a24b48d5b6f862bb418a4796f972b9
382.6 kB Preview Download
md5:bc9e0f2fa0e18fd68d51cadebd44a598
1.1 MB Preview Download