UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2205B24


Registration ID:
403530

Page Number

k202-k209

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Title

ANALYSIS AND PREDICTION OF HOUSE PRICE

Abstract

The phenomenon of the falling or rising of the house prices has attracted interest from the researcher as well as many other real-estate parties. Usually, House price index (HPI) represents the summarized price changes of residential housing. Since housing price is strongly correlated to other factors, prediction needs more accurate methods based on location, house type, size, built year, local amenities, and some other factors which could affect house demand and supply. With dataset named Ames taken from Kaggle, which consists of 81 features and 1460 rows. Exploratory Data Analysis, data pre-processing, data cleaning, creative feature engineering method, One Hot Encoding is applied in this project. The project is developed using two machine learning models, Random Forest regression model and Gradient boosting regression model to predict individual house price. The performance metrics used is RMSE (Root Mean Square Error) and R-Squared value. We fit the algorithms to the data and tried three different ratios and observed which split gave better accuracy. It was observed that 80-20 split gave better accuracy when compared to 65-30 split and 70-30 split. It was also observed that Random Forest is most accurate model than The Extreme Gradient Boosting model.

Key Words

ANALYSIS AND PREDICTION OF HOUSE PRICE

Cite This Article

"ANALYSIS AND PREDICTION OF HOUSE PRICE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.k202-k209, May-2022, Available :http://www.jetir.org/papers/JETIR2205B24.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ANALYSIS AND PREDICTION OF HOUSE PRICE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppk202-k209, May-2022, Available at : http://www.jetir.org/papers/JETIR2205B24.pdf

Publication Details

Published Paper ID: JETIR2205B24
Registration ID: 403530
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: k202-k209
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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