Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool

By F. Fabris, Alex Alves Freitas. 2019

18 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Marc-André Zöller
2. Marco F. Huber
3. Li Yang
4. Abdallah Shami

Citations in the corpus

• Benchmark and Survey of Automated Machine Learning Frameworks (2019, methodology): “Finally, we examine the known tendency of AutoML tools to overfit (Fabris & Freitas, 2019).”