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The house dataset contains \(6\) features and \(414\) records. The target feature is unit.price and the remaining 5 variables are predictors.
data( house )
The house dataset, as a data frame, contains \(414\) rows and \(6\) columns (variables/features). The \(6\) variables are:
house
house.age: house age (numeric, in year).
house.age
distance.to.MRT: distance to the nearest MRT station (numeric).
distance.to.MRT
stores.number: number of convenience stores (numeric).
stores.number
latitude: latitude (numeric).
latitude
longitude: longitude (numeric).
longitude
unit.price: house price of unit area (numeric).
unit.price
A detailed description of the dataset can be found:
https://www.kaggle.com/quantbruce/real-estate-price-prediction
adult, risk, churn, churnTel, bank, advertising, marketing, insurance, cereal, housePrice
adult
risk
churn
churnTel
bank
advertising
marketing
insurance
cereal
housePrice
# NOT RUN { data( house ) str( house ) # }
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