Evaluation of Price Prediction of Houses in a Real Estate via Machine Learning
Traditional (manual) methods of determining real estate house prices are in some cases prone to mistakes which may be due to distractions, lack of attentiveness or vulnerability to real estate agent fraud. This work focuses on evaluation house price prediction in real estate using more recent metho...
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| Format: | Article |
| Language: | English |
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Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)
2025-02-01
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| Series: | Journal of Applied Sciences and Environmental Management |
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| Online Access: | https://www.ajol.info/index.php/jasem/article/view/288025 |
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| author | A. A. Ibrahim O. A. Ayilara-Adewale A. A. Alabi D. A. Olusesi |
| author_facet | A. A. Ibrahim O. A. Ayilara-Adewale A. A. Alabi D. A. Olusesi |
| author_sort | A. A. Ibrahim |
| collection | DOAJ |
| description |
Traditional (manual) methods of determining real estate house prices are in some cases prone to mistakes which may be due to distractions, lack of attentiveness or vulnerability to real estate agent fraud. This work focuses on evaluation house price prediction in real estate using more recent methods. House pricing using such methods as House Pricing Index and Random Forest Machine Learning Technique has been discussed, a new approach is proposed as a model utilizing the Extra Tree regression because it introduces an additional level of randomness in the tree-building process. Kaggle Boston housing dataset with 506 entries and 14 features was employed to train and test the developed model whose efficiency was then determined via mean absolute error and mean squared error. Additionally, a comparison was made between a random forest regression model and the proposed prediction model which revealed that the new prediction model yielded better performance than the random forest regression.
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| format | Article |
| id | doaj-art-9fddfb5d90094a15a2db69017a8df818 |
| institution | Kabale University |
| issn | 2659-1502 2659-1499 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP) |
| record_format | Article |
| series | Journal of Applied Sciences and Environmental Management |
| spelling | doaj-art-9fddfb5d90094a15a2db69017a8df8182025-02-02T19:51:25ZengJoint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)Journal of Applied Sciences and Environmental Management2659-15022659-14992025-02-01291Evaluation of Price Prediction of Houses in a Real Estate via Machine LearningA. A. IbrahimO. A. Ayilara-AdewaleA. A. AlabiD. A. Olusesi Traditional (manual) methods of determining real estate house prices are in some cases prone to mistakes which may be due to distractions, lack of attentiveness or vulnerability to real estate agent fraud. This work focuses on evaluation house price prediction in real estate using more recent methods. House pricing using such methods as House Pricing Index and Random Forest Machine Learning Technique has been discussed, a new approach is proposed as a model utilizing the Extra Tree regression because it introduces an additional level of randomness in the tree-building process. Kaggle Boston housing dataset with 506 entries and 14 features was employed to train and test the developed model whose efficiency was then determined via mean absolute error and mean squared error. Additionally, a comparison was made between a random forest regression model and the proposed prediction model which revealed that the new prediction model yielded better performance than the random forest regression. https://www.ajol.info/index.php/jasem/article/view/288025Prediction system; used car; extra tree regression; random forest regression; machine learning |
| spellingShingle | A. A. Ibrahim O. A. Ayilara-Adewale A. A. Alabi D. A. Olusesi Evaluation of Price Prediction of Houses in a Real Estate via Machine Learning Journal of Applied Sciences and Environmental Management Prediction system; used car; extra tree regression; random forest regression; machine learning |
| title | Evaluation of Price Prediction of Houses in a Real Estate via Machine Learning |
| title_full | Evaluation of Price Prediction of Houses in a Real Estate via Machine Learning |
| title_fullStr | Evaluation of Price Prediction of Houses in a Real Estate via Machine Learning |
| title_full_unstemmed | Evaluation of Price Prediction of Houses in a Real Estate via Machine Learning |
| title_short | Evaluation of Price Prediction of Houses in a Real Estate via Machine Learning |
| title_sort | evaluation of price prediction of houses in a real estate via machine learning |
| topic | Prediction system; used car; extra tree regression; random forest regression; machine learning |
| url | https://www.ajol.info/index.php/jasem/article/view/288025 |
| work_keys_str_mv | AT aaibrahim evaluationofpricepredictionofhousesinarealestateviamachinelearning AT oaayilaraadewale evaluationofpricepredictionofhousesinarealestateviamachinelearning AT aaalabi evaluationofpricepredictionofhousesinarealestateviamachinelearning AT daolusesi evaluationofpricepredictionofhousesinarealestateviamachinelearning |