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Real estate valuation data set Data Set
Download: Data Folder, Data Set Description

Abstract: The “real estate valuation” is a regression problem. The market historical data set of real estate valuation are collected from Sindian Dist., New Taipei City, Taiwan.

Data Set Characteristics:  

Multivariate

Number of Instances:

414

Area:

Business

Attribute Characteristics:

Integer, Real

Number of Attributes:

7

Date Donated

2018-08-18

Associated Tasks:

Regression

Missing Values?

N/A

Number of Web Hits:

1324


Source:

Original Owner and Donor
Name: Prof. I-Cheng Yeh
Institutions: Department of Civil Engineering, Tamkang University, Taiwan.
Email: 140910 '@' mail.tku.edu.tw
TEL: 886-2-26215656 ext. 3181

Date Donated: Aug. 18, 2018


Data Set Information:

The market historical data set of real estate valuation are collected from Sindian Dist., New Taipei City, Taiwan. The “real estate valuation” is a regression problem. The data set was randomly split into the training data set (2/3 samples) and the testing data set (1/3 samples).


Attribute Information:

The inputs are as follows
X1=the transaction date (for example, 2013.250=2013 March, 2013.500=2013 June, etc.)
X2=the house age (unit: year)
X3=the distance to the nearest MRT station (unit: meter)
X4=the number of convenience stores in the living circle on foot (integer)
X5=the geographic coordinate, latitude. (unit: degree)
X6=the geographic coordinate, longitude. (unit: degree)

The output is as follow
Y= house price of unit area (10000 New Taiwan Dollar/Ping, where Ping is a local unit, 1 Ping = 3.3 meter squared)


Relevant Papers:

Yeh, I. C., & Hsu, T. K. (2018). Building real estate valuation models with comparative approach through case-based reasoning. Applied Soft Computing, 65, 260-271.



Citation Request:

Yeh, I. C., & Hsu, T. K. (2018). Building real estate valuation models with comparative approach through case-based reasoning. Applied Soft Computing, 65, 260-271.


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