Developing a Robust Rental Price Prediction System: Insights from Linear Regression, Decision Trees, and Random Forest

Estimation of the rent rate is an important task in the entire real estate industry and can have a heavy consequence for landlords and future tenants. This paper presents a predictive modeling in rental pricing, using machine learning approaches in the Java programming paradigm to build a strong sys...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) S. 1 - 7
Hauptverfasser:	Hussain, Mohammed Javed, Krishna, P V Satwik, Reddy, J Nandan, Krishna, J.S. Siva Rama, Reshikesh Reddy, Puttamreddy, Murali, Saritha
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 12.12.2024
Schlagworte:	Decision Tree Decision trees Estimation Input variables Linear regression Machine learning algorithms Prediction algorithms Predictive models Pricing Random Forest Random forests Real estate industry Robustness
ISBN:	9798331543617
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!