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Residential Building Data Set Data Set
Download: Data Folder, Data Set Description

Abstract: Data set includes construction cost, sale prices, project variables, and economic variables corresponding to real estate single-family residential apartments in Tehran, Iran.

Data Set Characteristics:  

Multivariate

Number of Instances:

372

Area:

Computer

Attribute Characteristics:

Real

Number of Attributes:

105

Date Donated

2018-02-19

Associated Tasks:

Regression

Missing Values?

N/A

Number of Web Hits:

58112


Source:

Donor and Creator: Mohammad H. Rafiei, Ph.D.
Postdoctoral Researcher, The Ohio State University, Columbus, OH 43210
rafiei.4 '@' osu.edu
www.mhraf.com


Data Set Information:

See the tab 'Descriptions' in the Excel file.


Attribute Information:

Totally 105: 8 project physical and financial variables, 19 economic variables and indices in 5 time lag numbers (5*19 = 95), and two output variables that are construction costs and sale prices


Relevant Papers:

Rafiei, M.H. and Adeli, H. (2015). “A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units.” ASCE, Journal of Construction Engineering & Management, 142(2), 04015066.
Rafiei, M.H. and Adeli, H. (Submitted as of Feb 19, 2018). “A Novel Machine Learning Model for Construction Cost Estimation Taking Into Account Economic Variables and Indices.” ASCE, Journal of Construction Engineering & Management.



Citation Request:

Rafiei, M.H. and Adeli, H. (2015). “A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units.” ASCE, Journal of Construction Engineering & Management, 142(2), 04015066.


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