Task: Build regression model to predict house price Attribute Information: The inputs are as follows Xl=the etc.) X2=the X3=the X4=the X5=the X6=the transaction date {for example, 2013.250=2913 March, 2013.5@B=2013 June, house age (unit: year) distance to the nearest MRT station (unit: meter) number of convenience stores in the living circle on foot (integer) geographic coordinate, latitude. (unit: degree) geographic coordinate, longitude. (unit: degree) The output is as follow Y= house price of unit area (18008 New Taiwan Dollar/Ping, where Ping is a local unit, 1 Ping = 3.3 meter squared) Relevant Papers: Yeh, I. C., & Hsu, T. K. (2818). Building real estate valuation models with comparative approach through case-based reasoning. Applied Soft Computing, 65, 260-271