In Proceedings on the Tenth International Conference of Machine Learning, 236-243, University of Massachusetts, Amherst. Combining Instance-Based and Model-Based Learning. Belsley, Kuh & Welsch, 'Regression diagnostics: Identifying Influential Data and Sources of Collinearity', Wiley, 1980. The Boston house-price data has been used in many machine learning papers that address regression Various transformations are used in the table on Used in Belsley, Kuh & Welsch, 'Regression diagnostics The Boston house-price data of Harrison, D. This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. This is a copy of UCI ML housing dataset. MEDV Median value of owner-occupied homes in $1000's B 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town TAX full-value property-tax rate per $10,000 RAD index of accessibility to radial highways DIS weighted distances to five Boston employment centres AGE proportion of owner-occupied units built prior to 1940 RM average number of rooms per dwelling NOX nitric oxides concentration (parts per 10 million) CHAS Charles River dummy variable (= 1 if tract bounds river 0 otherwise) INDUS proportion of non-retail business acres per town ZN proportion of residential land zoned for lots over 25,000 sq.ft. Median Value (attribute 14) is usually the target. :Number of Attributes: 13 numeric/categorical predictive.
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