Jul 25, 2022 · The benchmark uses public data sets, can be easily extended with other AutoML frameworks and tasks, and has a website with up-to-date results.
Our benchmarking tool, dubbed AMLB (for AutoML Benchmark), can be used to per- form evaluations of AutoML frameworks in a fully automated way. The AutoML ...
AMLB is an open and extensible benchmark that follows best practices and avoids common mistakes when comparing AutoML frameworks.
We introduce an open and extensible benchmark that follows best practices and avoids common mistakes when comparing AutoML frameworks. We conduct a thorough ...
The OpenML AutoML Benchmark provides a framework for evaluating and comparing open-source AutoML systems.
Jul 25, 2022 · We introduce an open and extensible benchmark that follows best practices and avoids common mistakes when comparing AutoML frameworks. We ...
Aug 28, 2024 · Authors: Pieter Gijsbers, Marcos L.P. Bueno, Stefan Coors, Erin LeDell, Sébastien Poirier, Janek Thomas, Bernd Bischl, ...
AMLB: an AutoML Benchmark · Data Mining · EAISI Foundational · EAISI Health. Research output: Other contribution › ...
This study presents a comprehensive evaluation and comparison of the performance characteristics of six popular AutoML frameworks.
This app allows you to further inspect the results presented in the JMLR paper "AMLB: an AutoML Benchmark" by Gijsbers et al. (2024).