Auto-WEKA

Auto-WEKA is an automated machine learning system based on Weka by Chris Thornton, Frank Hutter, Holger H. Hoos and Kevin Leyton-Brown. An extended version was published as Auto-WEKA 2.0. Auto-WEKA was named the first prominent AutoML system in a neutral comparison study.

It received the test-of-time award of the SIGKDD conference in 2023.

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