Call for Papers:Vol.11 Issue.2

Submission
Last date		 28-Apr-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-2. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  A COMPARATIVE STUDY OF PREDICTING REAL ESTATE PRICES USING MACHINE LEARNING APPROACHES
PaperId: :  24412
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-24412
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
RAMASONDRANO ANDRIAMANJAKADoctoral School of Science and Technics of Engineering and Innovation University of Antananarivo, Madagascar
Ramafiarisona Hajasoa Malalatiana Doctoral School of Science and Technics of Engineering and Innovation University of Antananarivo, Madagascar

Abstract

Machine Learning engineering
Real estate prices, Machine Learning, Supervised Algorithm, Study comparative algorithms
Research into real estate price prediction using artificial intelligence has been the subject of several empirical studies. The purpose of this project is to identify the most accurate model for predicting real estate prices using artificial intelligence, based on the characteristics of the property and its locality. This study was conducted using an Indian real estate dataset, which includes 14,620 property sales samples and 23 features. To achieve this, various machine learning techniques were employed to compare selected supervised algorithms: Linear Regression,Ridge Regression, Lasso Regression, Support Vector Machine, Random Forest , K-Nearest Neighbors . The choice of the best model is based on the comparison of performance evaluation metrics such as: MAE, MSE, RMSE, R2 and R2 Cross-Validation. The prediction results showed that the optimized Random Forest algorithm provides the best overall performance, with lowest values of MAE, MSE, and RMSE, as well as high R² and R² cross-validation. It gives 87.44% prediction accuracy. This project also demonstrated the importance of taking into account the geographic context in the analysis and prediction of real estate prices.[1]

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE RAMASONDRANO ANDRIAMANJAKA, and Ramafiarisona Hajasoa Malalatiana . "A COMPARATIVE STUDY OF PREDICTING REAL ESTATE PRICES USING MACHINE LEARNING APPROACHES" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 6119-6134
MLA RAMASONDRANO ANDRIAMANJAKA, and Ramafiarisona Hajasoa Malalatiana . "A COMPARATIVE STUDY OF PREDICTING REAL ESTATE PRICES USING MACHINE LEARNING APPROACHES." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 6119-6134.
APA RAMASONDRANO ANDRIAMANJAKA, & Ramafiarisona Hajasoa Malalatiana . (2024). A COMPARATIVE STUDY OF PREDICTING REAL ESTATE PRICES USING MACHINE LEARNING APPROACHES. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 6119-6134.
Chicago RAMASONDRANO ANDRIAMANJAKA, and Ramafiarisona Hajasoa Malalatiana . "A COMPARATIVE STUDY OF PREDICTING REAL ESTATE PRICES USING MACHINE LEARNING APPROACHES." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 6119-6134.
Oxford RAMASONDRANO ANDRIAMANJAKA, and Ramafiarisona Hajasoa Malalatiana . 'A COMPARATIVE STUDY OF PREDICTING REAL ESTATE PRICES USING MACHINE LEARNING APPROACHES', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 6119-6134. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_COMPARATIVE_STUDY_OF_PREDICTING_REAL_ESTATE_PRICES_USING_MACHINE_LEARNING_APPROACHES_ijariie24412.pdf (Accessed : ).
Harvard RAMASONDRANO ANDRIAMANJAKA, and Ramafiarisona Hajasoa Malalatiana . (2024) 'A COMPARATIVE STUDY OF PREDICTING REAL ESTATE PRICES USING MACHINE LEARNING APPROACHES', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 6119-6134IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_COMPARATIVE_STUDY_OF_PREDICTING_REAL_ESTATE_PRICES_USING_MACHINE_LEARNING_APPROACHES_ijariie24412.pdf (Accessed : )
IEEE RAMASONDRANO ANDRIAMANJAKA, and Ramafiarisona Hajasoa Malalatiana , "A COMPARATIVE STUDY OF PREDICTING REAL ESTATE PRICES USING MACHINE LEARNING APPROACHES," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 6119-6134, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_COMPARATIVE_STUDY_OF_PREDICTING_REAL_ESTATE_PRICES_USING_MACHINE_LEARNING_APPROACHES_ijariie24412.pdf [Accessed : ].
Turabian RAMASONDRANO ANDRIAMANJAKA, and Ramafiarisona Hajasoa Malalatiana . "A COMPARATIVE STUDY OF PREDICTING REAL ESTATE PRICES USING MACHINE LEARNING APPROACHES." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver RAMASONDRANO ANDRIAMANJAKA, and Ramafiarisona Hajasoa Malalatiana . A COMPARATIVE STUDY OF PREDICTING REAL ESTATE PRICES USING MACHINE LEARNING APPROACHES. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 6119-6134. Available from: https://ijariie.com/AdminUploadPdf/A_COMPARATIVE_STUDY_OF_PREDICTING_REAL_ESTATE_PRICES_USING_MACHINE_LEARNING_APPROACHES_ijariie24412.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Deepfake Technology: A Cybersecurity Threat and Counter Measures.Computer Engineering (Data Science)Chinmay Jitendra Dhamangaonkar Download
Predicting the stock market using machine learning algorithms: evidence from India and BrazilArtificial Intelligence and Machine LearningPrince Das Adhikary Download
Smart Diagnostic Systems for Infectious DiseasesArtificial Intelligence (AI)Kumar. S Download
AI-Supported Infrastructure for Pandemic ResponseArtificial Intelligence (AI)Varsha M S Download
AI-Based Management of Post-Surgery ComplicationsArtificial Intelligence (AI)Praveen U Download
Ethical AI Design in Healthcare Decision-MakingArtificial Intelligence (AI)Sachin U Download
AI and IoT in Managing Geriatric Care FacilitiesArtificial Intelligence (AI)Surya H S Download
Predictive AI Systems for Maternal and Infant HealthArtificial Intelligence (AI)Mahesh N Download
Role of Adaptive AI Algorithms for Remote Health DiagnosticsArtificial Intelligence (AI)Lakshmi. V Download
Multilingual AI Assistants for Diverse Patient PopulationsArtificial Intelligence (AI)Raju. S Download
Advanced Algorithms for Healthcare Workforce ManagementArtificial Intelligence (AI)Saraswathi. B Download
Recent Advances in AI-Driven Medical Training Platforms for StudentsArtificial Intelligence (AI)Nagaraju. M Download
NaviCam Rover (1)Artificial IntelligenceAmrut Paunikar Download
New advanced Personalized Healthcare Using AI-Powered DiagnosticsArtificial IntelligenceChandra Naidu Download
Evolution of AI in Product DevelopmentTechnologyYusuf Khan Download
12