Diverse and Generative ML benchmark (DIGEN)

The Diverse and Generative ML benchmark (DIGEN) is a collection of synthetic datasets derived from generative functions, used to evaluate the performance of various AutoML algorithms by highlighting their strengths and weaknesses.

Papers using Diverse and Generative ML benchmark (DIGEN) (1)

Benchmarking AutoML algorithms on a collection of synthetic classification problems2022 · 2 cites