View regression-datasets housing (public)

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Summary

UCI boston housing data

License
unknown (from Weka repository)
Dependencies
Tags
arff slurped Weka
Attribute Types
Integer,Floating Point
Download
# Instances: 506 / # Attributes: 14
HDF5 (59.7 KB) XML CSV ARFF LibSVM Matlab Octave

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Completeness of this item currently: 100%.
Original Data Format
arff
Name
'housing'
Version mldata
0
Comment
  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.

Names
CRIM,ZN,INDUS,CHAS,NOX,RM,AGE,DIS,RAD,TAX,
Types
  1. numeric
  2. numeric
  3. numeric
  4. nominal:0,1
  5. numeric
  6. numeric
  7. numeric
  8. numeric
  9. numeric
  10. numeric
Data (first 10 data points)
    CRIM ZN INDUS CHAS NOX RM AGE DIS RAD TAX ...
    0.00... 18 2.31 0 0.538 6.575 65.2 4.09 1 296 ...
    0.02... 0 7.07 0 0.469 6.421 78.9 4.9671 2 242 ...
    0.02... 0 7.07 0 0.469 7.185 61.1 4.9671 2 242 ...
    0.03... 0 2.18 0 0.458 6.998 45.8 6.0622 3 222 ...
    0.06... 0 2.18 0 0.458 7.147 54.2 6.0622 3 222 ...
    0.02... 0 2.18 0 0.458 6.43 58.7 6.0622 3 222 ...
    0.08... 12 7.87 0 0.524 6.012 66.6 5.5605 5 311 ...
    0.14... 12 7.87 0 0.524 6.172 96.1 5.9505 5 311 ...
    0.21... 12 7.87 0 0.524 5.631 100.0 6.0821 5 311 ...
    0.17... 12 7.87 0 0.524 6.004 85.9 6.5921 5 311 ...
    ... ... ... ... ... ... ... ... ... ... ...
Description

A jarfile containing 30 regression datasets collected by Luis Torgo (regression-datasets.jar, 10,090,266 Bytes).

URLs
http://archive.ics.uci.edu/ml/datasets/Housing
Publications
    Data Source
    Originally from the UCI machine learning repository.
    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 2010-11-06 09:58
    revision 2
    by cong on 2011-09-14 15:17

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