Real Estate Valuation

Donated on 8/17/2018

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.

Dataset Characteristics

Multivariate

Subject Area

Business

Associated Tasks

Regression

Feature Type

Integer, Real

# Instances

414

# Features

6

Dataset Information

Additional 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).

Has Missing Values?

No

Introductory Paper

Building real estate valuation models with comparative approach through case-based reasoning

By I. Yeh, Tzu-Kuang Hsu. 2018

Published in Applied Soft Computing

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
NoIDIntegerno
X1 transaction dateFeatureContinuousfor example, 2013.250=2013 March, 2013.500=2013 June, etc.no
X2 house ageFeatureContinuousyearno
X3 distance to the nearest MRT stationFeatureContinuousmeterno
X4 number of convenience storesFeatureIntegernumber of convenience stores in the living circle on footintegerno
X5 latitudeFeatureContinuousgeographic coordinate, latitudedegreeno
X6 longitudeFeatureContinuousgeographic coordinate, longitudedegreeno
Y house price of unit areaTargetContinuous10000 New Taiwan Dollar/Ping, where Ping is a local unit, 1 Ping = 3.3 meter squared10000 New Taiwan Dollar/Pingno

0 to 8 of 8

Additional Variable 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)

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Creators

I-Cheng Yeh

140910@mail.tku.edu.tw

Department of Civil Engineering, Tamkang University

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