A Comparison of Multiple Linear Regression and Random Forest Regression to Evaluate the Price of Residential Units (Case Study: North Valiasr, Tabriz)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Kooshesh Vatan Mohammad Ali; ASGHARI ZAMANI AKBAR; NEMATI MOHAMMAD; Poormohammad Firooz

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: GEOGRAPHY AND TERRITORIAL SPATIAL ARRANGEMENT Year:2021 | Volume:11 | Issue:40 Page(s): 45-64

Download Full-Text

Persian Verion

View:

247

Download:

Cites:

Information Journal Paper

Title

A Comparison of Multiple Linear Regression and Random Forest Regression to Evaluate the Price of Residential Units (Case Study: North Valiasr, Tabriz)

Author(s)

Kooshesh Vatan Mohammad Ali | ASGHARI ZAMANI AKBAR | NEMATI MOHAMMAD | Poormohammad Firooz | Issue Writer Certificate

Keywords

Housing Price

Multiple linear regression

Random Forest Regression

North Valiasr

Tabriz

Abstract

One of the most fundamental aspects of any country is the housing economy. Because its price changes will cause numerous effects on the national economy in the short and long periods; therefore, it is essential to obtain a model which can assess Housing Prices. In this regard, the objectives of this research are to compare Multiple linear regression and Random Forest Regression to evaluate the price of residential units and extract the important factors in relation to the price of them. The statistical population included four North Valiasr neighborhoods (n=30, 272 units) and the sample size was estimated to be 379 units using the cochran formula at 95% confidence level and with a 5% error. But 400 samples considered. To eliminate the effect of time, only the data of september, 2020 were used. Also, arcmap, spss and rstudio software were used to analyze the data. According to the results, area, apartment floors, construction year, proximity to health centers, urban facilities, green spaces, religious land-use, medical centers, military land-uses and floor level, are the ten most important variables in relation to Housing Prices in the North Valiasr neighborhoods, respectively. Further, according to the findings, Random Forest Regression has a superior capability in predicting Housing Prices in North Valiasr of Tabriz compared to Multiple linear regression.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

Kooshesh Vatan, Mohammad Ali, ASGHARI ZAMANI, AKBAR, NEMATI, MOHAMMAD, & Poormohammad, Firooz. (2021). A Comparison of Multiple Linear Regression and Random Forest Regression to Evaluate the Price of Residential Units (Case Study: North Valiasr, Tabriz). GEOGRAPHY AND TERRITORIAL SPATIAL ARRANGEMENT, 11(40 ), 45-64. SID. https://sid.ir/paper/957899/en

Vancouver: Copy

Kooshesh Vatan Mohammad Ali, ASGHARI ZAMANI AKBAR, NEMATI MOHAMMAD, Poormohammad Firooz. A Comparison of Multiple Linear Regression and Random Forest Regression to Evaluate the Price of Residential Units (Case Study: North Valiasr, Tabriz). GEOGRAPHY AND TERRITORIAL SPATIAL ARRANGEMENT[Internet]. 2021;11(40 ):45-64. Available from: https://sid.ir/paper/957899/en

IEEE: Copy

Mohammad Ali Kooshesh Vatan, AKBAR ASGHARI ZAMANI, MOHAMMAD NEMATI, and Firooz Poormohammad, “A Comparison of Multiple Linear Regression and Random Forest Regression to Evaluate the Price of Residential Units (Case Study: North Valiasr, Tabriz),” GEOGRAPHY AND TERRITORIAL SPATIAL ARRANGEMENT, vol. 11, no. 40 , pp. 45–64, 2021, [Online]. Available: https://sid.ir/paper/957899/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops