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53 lines
2.0 KiB
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53 lines
2.0 KiB
Plaintext
1. Title: Boston Housing Data
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2. Sources:
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(a) Origin: This dataset was taken from the StatLib library which is
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maintained at Carnegie Mellon University.
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(b) Creator: Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the
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demand for clean air', J. Environ. Economics & Management,
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vol.5, 81-102, 1978.
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(c) Date: July 7, 1993
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3. Past Usage:
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- Used in Belsley, Kuh & Welsch, 'Regression diagnostics ...', Wiley,
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1980. N.B. Various transformations are used in the table on
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pages 244-261.
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- Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning.
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In Proceedings on the Tenth International Conference of Machine
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Learning, 236-243, University of Massachusetts, Amherst. Morgan
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Kaufmann.
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4. Relevant Information:
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Concerns housing values in suburbs of Boston.
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5. Number of Instances: 506
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6. Number of Attributes: 13 continuous attributes (including "class"
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attribute "MEDV"), 1 binary-valued attribute.
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7. Attribute Information:
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1. CRIM per capita crime rate by town
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2. ZN proportion of residential land zoned for lots over
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25,000 sq.ft.
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3. INDUS proportion of non-retail business acres per town
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4. CHAS Charles River dummy variable (= 1 if tract bounds
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river; 0 otherwise)
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5. NOX nitric oxides concentration (parts per 10 million)
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6. RM average number of rooms per dwelling
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7. AGE proportion of owner-occupied units built prior to 1940
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8. DIS weighted distances to five Boston employment centres
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9. RAD index of accessibility to radial highways
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10. TAX full-value property-tax rate per $10,000
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11. PTRATIO pupil-teacher ratio by town
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12. B 1000(Bk - 0.63)^2 where Bk is the proportion of blacks
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by town
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13. LSTAT % lower status of the population
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14. MEDV Median value of owner-occupied homes in $1000's
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8. Missing Attribute Values: None.
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