housing: Boston Housing dataset.

In hhcartr: HHCART(G) - A Reflected Feature Space for CART

Description

Concerns housing values in suburbs of Boston.

Usage

data(housing)

Format

A data frame with 506 rows and 13 variables:

CRIM

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

nitric oxides concentration (parts per 10 million)

RM

average number of rooms per dwelling

AGE

proportion of owner-occupied units built prior to 1940

DIS

weighted distances to five Boston employment centres

RAD

index of accessibility to radial highways

TAX

full-value property-tax rate per $10,000

PTRATIO

pupil-teacher ratio by town

B

1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town

LSTAT

percentage lower status of the population

MEDV

Median value of owner-occupied homes in $1000s

Details

For regression models, build models to predict the MEDV field. For classification models hhcartr provides a binary target variable calculated using MEDV > 20 which can then be used to build a classification model.

Source

http://archive.ics.uci.edu/ml/machine-learning-databases/housing/

hhcartr documentation built on July 2, 2021, 9:06 a.m.