Lessons learned from the AutoML challenge

Lisheng Sun-Hosoya 1 Isabelle Guyon 2, 1 Michèle Sebag 1
1 TAU - TAckling the Underspecified
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : We give a brief account of the main findings of our post-hoc analysis of the first AutoML challenge (2015-2016). This competition, which took place in 2015-2016 challenged the participants to submit code that solve classification and regression problems from fixed-length feature representations, without any human intervention. This paper is a digest of a book chapter to be published in the Springer Series on Challenges in Machine Learning [Geaar]. All datasets, code of the winners, and challenge results are found at: http://automl.chalearn.org.
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Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag. Lessons learned from the AutoML challenge. Conférence sur l'Apprentissage Automatique 2018, Jun 2018, Rouen, France. ⟨hal-01811454⟩

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