Summary

UCI boston housing data (scaled to [-1,1])

License

unknown (from LibSVMTools repository)

Dependencies

Tags

libsvm LibSVMTools slurped

Attribute Types

Download

# Instances: 506 / # Attributes: 14
HDF5 (65.9 KB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format

libsvm

Name

housing_scale

Version mldata

0

Comment

LibSVM

Names

Data (first 10 data points)

24	-1.0	-0.64	-0.86...	-1.0	-0.37...	0.15...	0.28...	-0.46...	-1.0	...
21	-0.99...	-1.0	-0.51...	-1.0	-0.65...	0.09...	0.56...	-0.30...	-0.91...	...
34	-0.99...	-1.0	-0.51...	-1.0	-0.65...	0.38...	0.19...	-0.30...	-0.91...	...
33	-0.99...	-1.0	-0.87...	-1.0	-0.69...	0.31...	-0.11...	-0.10...	-0.82...	...
36	-0.99...	-1.0	-0.87...	-1.0	-0.69...	0.37...	0.05...	-0.10...	-0.82...	...
28	-0.99...	-1.0	-0.87...	-1.0	-0.69...	0.09...	0.14...	-0.10...	-0.82...	...
22	-0.99...	-0.75	-0.45...	-1.0	-0.42...	-0.06...	0.31...	-0.19...	-0.65...	...
27	-0.99...	-0.75	-0.45...	-1.0	-0.42...	0.00...	0.91...	-0.12...	-0.65...	...
16	-0.99...	-0.75	-0.45...	-1.0	-0.42...	-0.20...	1.0	-0.09...	-0.65...	...
18	-0.99...	-0.75	-0.45...	-1.0	-0.42...	-0.06...	0.70...	-0.00...	-0.65...	...
...	...	...	...	...	...	...	...	...	...	...

Description

This is a normalized (scaled to [-1,1]) version of the boston housing regression dataset.

See also: http://mldata.org/repository/data/viewslug/regression-datasets-housing/

URLs

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

Publications

Data Source

http://www.ics.uci.edu/~mlearn/MLRepository.html UCI / Housing (Boston)

Measurement Details

From the UCI repository:

   1.

      Title: Boston Housing Data
   2.

      Sources: (a) Origin: This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. (b) Creator: Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978. (c) Date: July 7, 1993
   3.

      Past Usage:
   4.

      Used in Belsley, Kuh & Welsch, 'Regression diagnostics ...', Wiley,
         1. N.B. Various transformations are used in the table on pages 244-261.
         2. Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning. In Proceedings on the Tenth International Conference of Machine Learning, 236-243, University of Massachusetts, Amherst. Morgan Kaufmann.
   5.

      Relevant Information:

Concerns housing values in suburbs of Boston.

   1.

      Number of Instances: 506
   2.

      Number of Attributes: 13 continuous attributes (including "class" attribute "MEDV"), 1 binary-valued attribute.
   3.

      Attribute Information:
         1. CRIM per capita crime rate by town
         2. ZN proportion of residential land zoned for lots over 25,000 sq.ft.
         3. INDUS proportion of non-retail business acres per town
         4. CHAS Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)
         5. NOX nitric oxides concentration (parts per 10 million)
         6. RM average number of rooms per dwelling
         7. AGE proportion of owner-occupied units built prior to 1940
         8. DIS weighted distances to five Boston employment centres
         9. RAD index of accessibility to radial highways
        10. TAX full-value property-tax rate per $10,000
        11. PTRATIO pupil-teacher ratio by town
        12. B 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town
        13. LSTAT % lower status of the population
        14. MEDV Median value of owner-occupied homes in $1000's
   4.

      Missing Attribute Values: None.

Usage Scenario

Predict the median value of home from all other variables.

revision 1

by mldata on 2010-11-01 11:49

revision 2

by cong on 2011-09-14 16:22

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Tasks defined on dataset housing_scale

• boston housing scaled regression 2010-12-02 17:38