Dataset之Boston:Boston波士顿房价数据集的简介、下载、使用方法之详细攻略
目录
该数据集包含美国人口普查局收集的美国马萨诸塞州波士顿住房价格的有关信息, 数据集很小,只有506个案例。
数据集都有以下14个属性:
下载地址:https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data
- from sklearn.datasets import load_boston
-
- boston = load_boston()
- print(boston.DESCR)
-
-
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- Boston House Prices dataset
- ===========================
-
- Notes
- ------
- Data Set Characteristics:
-
- :Number of Instances: 506
-
- :Number of Attributes: 13 numeric/categorical predictive
-
- :Median Value (attribute 14) is usually the target
-
- :Attribute Information (in order):
- - 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
- :Missing Attribute Values: None
- :Creator: Harrison, D. and Rubinfeld, D.L.
- This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University.
- 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. Used in Belsley, Kuh & Welsch, 'Regression diagnostics
- ...', Wiley, 1980. N.B. Various transformations are used in the table on
- pages 244-261 of the latter.
- The Boston house-price data has been used in many machine learning papers that address regression
- problems.
-
- **References**
- - Belsley, Kuh & Welsch, 'Regression diagnostics: Identifying Influential Data and Sources of Collinearity', Wiley, 1980. 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.
- - many more! (see http://archive.ics.uci.edu/ml/datasets/Housing)
1、更多详见本博客算法案例
- X = boston.data
- y = boston.target
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