This page provides information about the Boston Housing Dataset, a popular dataset used for machine learning and statistical analysis.

Dataset Overview

The Boston Housing Dataset contains information collected by the U.S. Census Service concerning housing in the area of Boston, Massachusetts. The dataset includes 13 features such as crime rate by town, the number of rooms, the age of the house, and the value of the house.

Features

  • 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: Nitrogen 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 centers
  • 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 Black residents by town
  • LSTAT: % lower status of the population

Usage

The Boston Housing Dataset is widely used for various machine learning tasks, such as regression, classification, and clustering. It is a great starting point for beginners in machine learning and data science.

Related Links


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