Gamification for machine learning: The classification game
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Gamification for machine learning : The classification game. / Nunzio, Giorgio Maria Di; Maistro, Maria; Zilio, Daniel.
In: CEUR Workshop Proceedings, Vol. 1642, 01.01.2016, p. 45-52.Research output: Contribution to journal › Conference article › Research › peer-review
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TY - GEN
T1 - Gamification for machine learning
T2 - 3rd International Workshop on Gamification for Information Retrieval, GamifIR 2016
AU - Nunzio, Giorgio Maria Di
AU - Maistro, Maria
AU - Zilio, Daniel
PY - 2016/1/1
Y1 - 2016/1/1
N2 - The creation of a labelled dataset for machine learning purposes is a costly process. In recent works, it has been shown that a mix of crowdsourcing and active learning approaches can be used to annotate objects at an affordable cost. In this paper, we study the gamification of machine learning techniques; in particular, the problem of classification of objects. In this first pilot study, we designed a simple game, based on a visual interpretation of probabilistic classifiers, that consists in separating two sets of coloured points on a two-dimensional plane by means of a straight line. We present the current results of this first experiment that we used to collect the requirements for the next version of the game and to analyze i) what is the 'price' to build a reasonably accurate classifier with a small amount of labelled objects, ii) and compare the accuracy of the player to the state-of-the-art classification algorithms.
AB - The creation of a labelled dataset for machine learning purposes is a costly process. In recent works, it has been shown that a mix of crowdsourcing and active learning approaches can be used to annotate objects at an affordable cost. In this paper, we study the gamification of machine learning techniques; in particular, the problem of classification of objects. In this first pilot study, we designed a simple game, based on a visual interpretation of probabilistic classifiers, that consists in separating two sets of coloured points on a two-dimensional plane by means of a straight line. We present the current results of this first experiment that we used to collect the requirements for the next version of the game and to analyze i) what is the 'price' to build a reasonably accurate classifier with a small amount of labelled objects, ii) and compare the accuracy of the player to the state-of-the-art classification algorithms.
UR - http://www.scopus.com/inward/record.url?scp=84985919823&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:84985919823
VL - 1642
SP - 45
EP - 52
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
Y2 - 21 July 2016
ER -
ID: 216517614