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Lessons learned from the AutoML challenge

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Lisheng Sun-Hosoya
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Isabelle Guyon
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Michèle Sebag
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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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Dates and versions

hal-01811454 , version 1 (08-06-2018)

Identifiers

  • HAL Id : hal-01811454 , version 1

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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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