A data frame with 414 observations on the following 8 variables.
No
a numeric vector
X1.transaction.date
a numeric vector
X2.house.age
a numeric vector
X3.distance.to.the.nearest.MRT.station
a numeric vector
X4.number.of.convenience.stores
a numeric vector
X5.latitude
a numeric vector
X6.longitude
a numeric vector
Y.house.price.of.unit.area
a numeric vector
Details
Real estate valuation data set contains information about 414 real estate prices of 5 independent variables. The dependent variable is the price per unit area.
References
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.