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housing

Ames Iowa Housing Data


Description

Data from the Ames Assessor's Office used in assessing values of individual residential properties sold in Ames, Iowa from 2006 to 2010. This is a regression problem and the goal is to predict "SalePrice" which records the price of a home in thousands of dollars.

References

De Cock, D., (2011). Ames, Iowa: Alternative to the Boston housing data as an end of semester regression project. Journal of Statistics Education, 19(3), 1–14.

Examples

## load the data
data(housing, package = "randomForestSRC")

## the original data contains lots of missing data
## here's a fast but reasonably accurate way to impute the data
housing2 <- impute(data = housing, mf.q = 10, fast = TRUE)

randomForestSRC

Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)

v2.11.0
GPL (>= 3)
Authors
Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Initial release
2021-03-30

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