Stacking Ensemble Approach towards Predicting Irish-Real Estate

Patel, Diepesh Manish (2024) Stacking Ensemble Approach towards Predicting Irish-Real Estate. Masters thesis, Dublin, National College of Ireland.

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Abstract

Through visual analytics, Study aims to explore whether signs of property market bubble formation have become evident, and to create a pragmatic predictive model of Irish real-estate valuation. Acknowledging the challenge of the market, this study is a holistic approach aware of the many limitations of traditional investigation that creates a one-sided distinction between the factors influencing property values.

This study utilizes a sequencing ensemble technique that encompasses Random Forest, LightGBM and XGBoost for improved prediction accuracy at the level of machine learning algorithms. With an R² score of 0.99, this model proves to be a sturdy predictor of valued property; This study utilizes elements such as demographic data, economic indicators, and real estate transaction records to provide an extensive overview of the market. The data also show a 70% increase in property prices, which in turn highlights a widening gap of property prices against average salaries, leading into market corrections. These findings will learn important implications on researchers.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Anant, Aaloka UNSPECIFIED
Uncontrolled Keywords:	Real Estate; Price Prediction; Ensemble Method; Random Forest; XGBOOST; LightGBM
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HD Industries. Land use. Labor > Housing D History General and Old World > DA Great Britain > Ireland Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	04 Sep 2025 08:44
Last Modified:	04 Sep 2025 08:44
URI:	https://norma.ncirl.ie/id/eprint/8767

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