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Moldel : Predicting the 'Mol' in 'Wie is de Mol?' using machine learning and mathematical modelling

Dorenbos, H.M.R. (2021) Moldel : Predicting the 'Mol' in 'Wie is de Mol?' using machine learning and mathematical modelling.

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Abstract:'Wie is de Mol?' is a Dutch game show annually broadcast by the AVROTROS on NPO1 with players having to fulfil exercises in order to earn money. A 'Mol' among them unknown to the spectators and other players however has to prevent them from earning money. The goal for these players and spectators is to discover the 'Mol', though no spectator has shown to be able to consistently predict the right 'Mol'. This thesis presents the Moldel, an algorithm able to predict the 'Mol'. To achieve this the Moldel uses four layers the Exam Drop layer, the Exam Pass layer, the Wikipedia layer and the Appearance layer which uses either mathematical modelling or machine learning. Each of these layers analyses a certain aspect of the game and uses it to determine the likelihood of being the 'Mol' for every player.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
Link to this item:http://purl.utwente.nl/essays/86073
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