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I realize this benchmark is a few years old now, but can you explain how these datasets from OpenML were selected for this benchmark? If they were not randomly selected (using a seed, sampling from OpenML ids), then it would be good to know how/why each dataset was chosen to be included in the benchmark. Thanks!
The text was updated successfully, but these errors were encountered:
Hey @ledell! Good question, I've probably taken them from one of the Frank Hutter articles (right now I don't remember which one, probably about auto-sklearn).
Hi there,
I realize this benchmark is a few years old now, but can you explain how these datasets from OpenML were selected for this benchmark? If they were not randomly selected (using a seed, sampling from OpenML ids), then it would be good to know how/why each dataset was chosen to be included in the benchmark. Thanks!
The text was updated successfully, but these errors were encountered: