Our Data Set
• 13k + 4k rows (records) of house advertisements,
with 10 columns (variables) each:
city, time of posting, price, sale or rent, rental term, type of
property, land size, building size, bedroom, bathroom
• Data are from 2 cities (anonymised) over 2-year
period (2012-2013)
• Objective: predict house price for quarter 4 2013,
given the other 9 variables
• Data generously provided by: