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Explaining single predictions : a faster method

Ferrettini, Gabriel and Aligon, Julien and Soulé-Dupuy, Chantal Explaining single predictions : a faster method. (2020) In: International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020), 20 January 2020 - 24 January 2020 (Limassol, Cyprus).

(Document in English)

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Official URL: https://doi.org/10.1007/978-3-030-38919-2_26


Machine learning has proven increasingly essential in manyfields. Yet, a lot obstacles still hinder its use by non-experts. The lack oftrust in the results obtained is foremost among them, and has inspiredseveral explanatory approaches in the literature. In this paper, we areinvestigating the domain of single prediction explanation. This is per-formed by providing the user a detailed explanation of the attribute'sinfluence on each single predicted instance, related to a particular ma-chine learning model. A lot of possible explanation methods have beendeveloped recently. Although, these approaches often require an impor-tant computation time in order to be efficient. That is why we are inves-tigating about new proposals of explanation methods, aiming to increasetime performances, for a small loss in accuracy.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in volume 12011 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN 978-3-030-38918-5 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-030-38919-2_26
HAL Id:hal-02942310
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:25 Aug 2020 13:27

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