housing: Boston Housing Prices
In A3: Accurate, Adaptable, and Accessible Error Metrics for Predictive Models

A dataset containing the prices of houses in the Boston region and a number of features. The dataset and the following description is based on that provided by UCI Machine Learning Repository (http://archive.ics.uci.edu/ml/datasets/Housing).

1	data(housing)

CRIME: Per capita crime rate by town
ZN: Proportion of residential land zoned for lots over 25,000 sq.ft.
INDUS: Proportion of non-retail business acres per town
CHAS: Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)
NOX: Nitrogen oxides pollutant concentration (parts per 10 million)
ROOMS: Average number of rooms per dwelling
AGE: Proportion of owner-occupied units built prior to 1940
DISTANCE: Weighted distances to five Boston employment centres
HIGHWAY: Index of accessibility to radial highways
TAX: Full-value property-tax rate per ten thousand dollar
PUPIL.TEACHER: Pupil-teacher ratio by town
MINORITY: 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town
LSTAT: Percent lower status of the population
MED.VALUE: Median value of owner-occupied homes in thousands of dollars

Frank, A. & Asuncion, A. (2010). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

Harrison, D. and Rubinfeld, D.L. Hedonic prices and the demand for clean air, J. Environ. Economics & Management, vol.5, 81-102, 1978.

A3 documentation built on May 2, 2019, 9:36 a.m.