Aim:- To predict median prices of houses using relevant attributes used in the Boston Houiing Data dataset.
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Title: Boston Housing Data, alternatively named as 'Dragon Real Estate'
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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
(d) Link: https://www.kaggle.com/datasets/schirmerchad/bostonhoustingmlnd
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Past Usage:
- Used in Belsley, Kuh & Welsch, 'Regression diagnostics ...', Wiley, 1980. N.B. Various transformations are used in the table on pages 244-261.
- 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.
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Relevant Information:
Concerns housing values in suburbs of Boston.
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Number of Instances: 506
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Number of Attributes: 13 continuous attributes (including "class" attribute "MEDV"), 1 binary-valued attribute.
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Attribute Information:
- 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 % lower status of the population
- MEDV Median value of owner-occupied homes in $1000's
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Missing Attribute Values: None.