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Title: :  REAL ESTATE LOCATION PREDICTION BASED ON DATA ANALYTICS
PaperId: :  20056
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20056
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof. Supriya ShrivatsavAMC Engineering College
Swati priyaAMC Engineering College
Tejaswini CAMC Engineering College
Rohit BharadwajAMC Engineering College
Sahil priyadarshiAMC Engineering College

Abstract

COMPUTER SCIENCE ENGINEERING
Real Estate , Price prediction , Machine learning
Machine Learning (ML) excels at most predictive tasks but its complex nonparametric structure renders it less useful for inference and out of sample predictions. This article aims to elucidate and enhance the analytical capabilities of ML in real estate through Interpretable ML (IML). Specifically, we compare a hedonic ML approach to a set of model-agnostic interpretation methods. Our results suggest that IML methods permit a peek into the black box of algorithmic decision making by showing the web of associative relationships between variables in greater resolution. In our empirical applications, we confirm that size and age are the most important rent drivers. Further analysis reveals that certain bundles of hedonic characteristics, such as large apartments in historic buildings with balconies located in affluent neighbourhoods, attract higher rents than adding up the contributions of each hedonic characteristic. Building age is shown to exhibit a U-shaped pattern in that both the youngest and oldest buildings attract the highest rents. Besides revealing valuable distance decay functions for spatial variables, IML methods are also able to visualise how the strength and interactions of hedonic characteristics change over time, which investors could use to determine the types of assets that perform best at any given stage of the real estate investment cycle.

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IJARIIE Prof. Supriya Shrivatsav, Swati priya, Tejaswini C, Rohit Bharadwaj, and Sahil priyadarshi. "REAL ESTATE LOCATION PREDICTION BASED ON DATA ANALYTICS" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 347-356
MLA Prof. Supriya Shrivatsav, Swati priya, Tejaswini C, Rohit Bharadwaj, and Sahil priyadarshi. "REAL ESTATE LOCATION PREDICTION BASED ON DATA ANALYTICS." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 347-356.
APA Prof. Supriya Shrivatsav, Swati priya, Tejaswini C, Rohit Bharadwaj, & Sahil priyadarshi. (2023). REAL ESTATE LOCATION PREDICTION BASED ON DATA ANALYTICS. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 347-356.
Chicago Prof. Supriya Shrivatsav, Swati priya, Tejaswini C, Rohit Bharadwaj, and Sahil priyadarshi. "REAL ESTATE LOCATION PREDICTION BASED ON DATA ANALYTICS." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 347-356.
Oxford Prof. Supriya Shrivatsav, Swati priya, Tejaswini C, Rohit Bharadwaj, and Sahil priyadarshi. 'REAL ESTATE LOCATION PREDICTION BASED ON DATA ANALYTICS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 347-356. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/REAL_ESTATE_LOCATION_PREDICTION_BASED_ON_DATA_ANALYTICS_ijariie20056.pdf (Accessed : ).
Harvard Prof. Supriya Shrivatsav, Swati priya, Tejaswini C, Rohit Bharadwaj, and Sahil priyadarshi. (2023) 'REAL ESTATE LOCATION PREDICTION BASED ON DATA ANALYTICS', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 347-356IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/REAL_ESTATE_LOCATION_PREDICTION_BASED_ON_DATA_ANALYTICS_ijariie20056.pdf (Accessed : )
IEEE Prof. Supriya Shrivatsav, Swati priya, Tejaswini C, Rohit Bharadwaj, and Sahil priyadarshi, "REAL ESTATE LOCATION PREDICTION BASED ON DATA ANALYTICS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 347-356, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/REAL_ESTATE_LOCATION_PREDICTION_BASED_ON_DATA_ANALYTICS_ijariie20056.pdf [Accessed : ].
Turabian Prof. Supriya Shrivatsav, Swati priya, Tejaswini C, Rohit Bharadwaj, and Sahil priyadarshi. "REAL ESTATE LOCATION PREDICTION BASED ON DATA ANALYTICS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver Prof. Supriya Shrivatsav, Swati priya, Tejaswini C, Rohit Bharadwaj, and Sahil priyadarshi. REAL ESTATE LOCATION PREDICTION BASED ON DATA ANALYTICS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 347-356. Available from: https://ijariie.com/AdminUploadPdf/REAL_ESTATE_LOCATION_PREDICTION_BASED_ON_DATA_ANALYTICS_ijariie20056.pdf
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