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‘Boston House Prices-Advanced Regression Techniques’ analyzed by Analyst-2
- analyst-2.ai
Updated Feb 1, 2001
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EmailClick to copy linkLink copiedCiteAnalyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2001). ‘Boston House Prices-Advanced Regression Techniques’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-boston-house-prices-advanced-regression-techniques-bae0/fd606ebf/?iid=003-577&v=presentationDataset updatedFeb 1, 2001Dataset authored and provided byAnalyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)LicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyArea coveredBostonDescriptionAnalysis of ‘Boston House Prices-Advanced Regression Techniques’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/fedesoriano/the-boston-houseprice-data on 13 February 2022.
--- Dataset description provided by original source is as follows ---
Similar Datasets
- Gender Pay Gap Dataset: LINK
- California Housing Prices Data (5 new features!): LINK
- Company Bankruptcy Prediction: LINK
Context
The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978.
Attribute Information
Input features in order: 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) [parts/10M] 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 $10,000 [$/10k] 11) PTRATIO: pupil-teacher ratio by town 12) B: The result of the equation B=1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town 13) LSTAT: % lower status of the population
Output variable: 1) MEDV: Median value of owner-occupied homes in $1000's [k$]
Source
StatLib - Carnegie Mellon University
Relevant Papers
Harrison, David & Rubinfeld, Daniel. (1978). Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management. 5. 81-102. 10.1016/0095-0696(78)90006-2. LINK
Belsley, David A. & Kuh, Edwin. & Welsch, Roy E. (1980). Regression diagnostics: identifying influential data and sources of collinearity. New York: Wiley LINK
--- Original source retains full ownership of the source dataset ---
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FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Boston House Prices-Advanced Regression Techniques’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/fedesoriano/the-boston-houseprice-data on 13 February 2022.
--- Dataset description provided by original source is as follows ---
Similar Datasets
- Gender Pay Gap Dataset: LINK
- California Housing Prices Data (5 new features!): LINK
- Company Bankruptcy Prediction: LINK
Context
The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978.
Attribute Information
Input features in order: 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) [parts/10M] 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 $10,000 [$/10k] 11) PTRATIO: pupil-teacher ratio by town 12) B: The result of the equation B=1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town 13) LSTAT: % lower status of the population
Output variable: 1) MEDV: Median value of owner-occupied homes in $1000's [k$]
Source
StatLib - Carnegie Mellon University
Relevant Papers
Harrison, David & Rubinfeld, Daniel. (1978). Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management. 5. 81-102. 10.1016/0095-0696(78)90006-2. LINK
Belsley, David A. & Kuh, Edwin. & Welsch, Roy E. (1980). Regression diagnostics: identifying influential data and sources of collinearity. New York: Wiley LINK
--- Original source retains full ownership of the source dataset ---