Print Email Facebook Twitter Automated Pricing Suggestions Title Automated Pricing Suggestions Author Katzy, Jonathan (TU Delft Electrical Engineering, Mathematics and Computer Science) Rietveld, Tim (TU Delft Electrical Engineering, Mathematics and Computer Science) van der Steeg, Jaap-Jan (TU Delft Electrical Engineering, Mathematics and Computer Science) Wiegel, Erik (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor van Riemsdijk, Birna (mentor) Wang, Huijuan (graduation committee) Dorresteijn, Stefan (graduation committee) Bloo, Roel (graduation committee) Jonker, Catholijn (mentor) Degree granting institution Delft University of Technology Programme Computer Science Date 2018-07-05 Abstract As Machine Learning is becoming more accessible to small businesses, thanks to the rapid advance in computing power, smaller start-ups such as Sjauf (a ride sharing start-up) are starting to get interested in implementing Machine Learning solutions in their product. Sjauf needed a system that could automatically tell its customers how much a certain trip would cost them. Using this information multiple different models were developed and integrated into an ensemble. This ensemble as well as the models used by it were then used for price prediction. This project is a proof of concept to show that Machine Learning is capable of solving this problem in real time.After researching state of the art Machine Learning models for price recommendation, the architecture of the system was designed. The supplied data was preprocessed, after which a custom Genetic Algorithm was developed for optimising models and ensembles. After validation on real-life company data, a comparison using empirical metrics was conducted. We use these empirical metrics to show that a bagging ensemble is the most efficient and accurate model for this purpose. This bagging ensemble outperformed the currently implemented functions, whilst adhering to the set boundaries on response times. Lastly, recommendations are made to the company with an overview of potential future work in this subject. Subject Machine LearningPrice SuggestionNeural NetworksReal timeGenetic AlgorithmRide SharingEnsemble Learning To reference this document use: http://resolver.tudelft.nl/uuid:0f78c996-59d9-48b0-9280-243644811117 Part of collection Student theses Document type bachelor thesis Rights © 2018 Jonathan Katzy, Tim Rietveld, Jaap-Jan van der Steeg, Erik Wiegel Files PDF Automated_Pricing_Suggestions.pdf 2.29 MB Close viewer /islandora/object/uuid:0f78c996-59d9-48b0-9280-243644811117/datastream/OBJ/view