Particle Swarm Optimization in Machine Learning Prediction of Airbnb Hospitality Price Prediction
Particle Swarm Optimization is a meta-heuristics algorithm widely used for optimization problems. This paper presents the research design and implementation of using Particle Swarm Optimization to automate the features selections in the machine learning models for Airbnb price prediction. Today, Air...
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2022
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my.utp.eprints.290112022-03-17T03:09:08Z Particle Swarm Optimization in Machine Learning Prediction of Airbnb Hospitality Price Prediction Masrom, S. Baharun, N. Razi, N.F.M. Rahman, R.A. Abd Rahman, A.S. Particle Swarm Optimization is a meta-heuristics algorithm widely used for optimization problems. This paper presents the research design and implementation of using Particle Swarm Optimization to automate the features selections in the machine learning models for Airbnb price prediction. Today, Airbnb is changing the business models of the hospitality industry globally. While a bigger impact has been given by the Airbnb community to the local economic development of each country, there has been very little effort that investigates on Airbnb pricing issue with machine learning techniques. Focusing on Airbnb Singapore, the main problem on the dataset is the low correlation of the independent variables to the hospitality price. Choosing the best combination of the independent variables is essential, which can be achieved through features selection optimization. Particle Swarm Optimization is useful to optimize the best variables combination for automating the features selection in machine learning models. By comparing the magnitude of change of the R squared values before and after the use of PSO feature selection, the result showed that the automated features selection has improved the results of all the machine learning algorithms mainly in the linear-based machine learning (Linear Regression, Lasso, Ridge). © 2022 IJETAE Publication House. All Rights Reserved. IJETAE Publication House 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124086975&doi=10.46338%2fIJETAE0122_14&partnerID=40&md5=dbe25c325e583bdcdbbf07a54f5d17c0 Masrom, S. and Baharun, N. and Razi, N.F.M. and Rahman, R.A. and Abd Rahman, A.S. (2022) Particle Swarm Optimization in Machine Learning Prediction of Airbnb Hospitality Price Prediction. International Journal of Emerging Technology and Advanced Engineering, 12 (1). pp. 146-151. http://eprints.utp.edu.my/29011/ |
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Particle Swarm Optimization is a meta-heuristics algorithm widely used for optimization problems. This paper presents the research design and implementation of using Particle Swarm Optimization to automate the features selections in the machine learning models for Airbnb price prediction. Today, Airbnb is changing the business models of the hospitality industry globally. While a bigger impact has been given by the Airbnb community to the local economic development of each country, there has been very little effort that investigates on Airbnb pricing issue with machine learning techniques. Focusing on Airbnb Singapore, the main problem on the dataset is the low correlation of the independent variables to the hospitality price. Choosing the best combination of the independent variables is essential, which can be achieved through features selection optimization. Particle Swarm Optimization is useful to optimize the best variables combination for automating the features selection in machine learning models. By comparing the magnitude of change of the R squared values before and after the use of PSO feature selection, the result showed that the automated features selection has improved the results of all the machine learning algorithms mainly in the linear-based machine learning (Linear Regression, Lasso, Ridge). © 2022 IJETAE Publication House. All Rights Reserved. |
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Article |
| author |
Masrom, S. Baharun, N. Razi, N.F.M. Rahman, R.A. Abd Rahman, A.S. |
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Masrom, S. Baharun, N. Razi, N.F.M. Rahman, R.A. Abd Rahman, A.S. Particle Swarm Optimization in Machine Learning Prediction of Airbnb Hospitality Price Prediction |
| author_facet |
Masrom, S. Baharun, N. Razi, N.F.M. Rahman, R.A. Abd Rahman, A.S. |
| author_sort |
Masrom, S. |
| title |
Particle Swarm Optimization in Machine Learning Prediction of Airbnb Hospitality Price Prediction |
| title_short |
Particle Swarm Optimization in Machine Learning Prediction of Airbnb Hospitality Price Prediction |
| title_full |
Particle Swarm Optimization in Machine Learning Prediction of Airbnb Hospitality Price Prediction |
| title_fullStr |
Particle Swarm Optimization in Machine Learning Prediction of Airbnb Hospitality Price Prediction |
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Particle Swarm Optimization in Machine Learning Prediction of Airbnb Hospitality Price Prediction |
| title_sort |
particle swarm optimization in machine learning prediction of airbnb hospitality price prediction |
| publisher |
IJETAE Publication House |
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2022 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124086975&doi=10.46338%2fIJETAE0122_14&partnerID=40&md5=dbe25c325e583bdcdbbf07a54f5d17c0 http://eprints.utp.edu.my/29011/ |
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