R: Boston Housing Data (Regression)

Boston {KernelKnn} | R Documentation

## Boston Housing Data (Regression)

### Description

housing values in suburbs of Boston

### Usage

    data(Boston)

### Format

A data frame with 506 Instances and 14 attributes (including the class attribute, "medv")

`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)

`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

`black`

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

`lstat`

  percentage of lower status of the population

`medv`

  Median value of owner-occupied homes in $1000's

### Source

This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University.

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

### References

https://archive.ics.uci.edu/ml/datasets/Housing

### Examples

    data(Boston)

    X = Boston[, -ncol(Boston)]

    y = Boston[, ncol(Boston)]

[Package KernelKnn version 1.0.8 Index]