Neural Networks with R

Boston dataset

The dataset describes 13 numerical properties of houses in Boston suburbs, and is concerned with modeling the price of houses in those suburbs in thousands of dollars. As such, this is a regression predictive modeling problem. Input attributes include things like crime rate, proportion of non-retail business acres, chemical concentrations, and more. In the following list are shown all the variables followed by a brief description: 

• Number of instances: 506
• Number of attributes: 13 continuous attributes (including class attribute MEDV), and one binary-valued attribute

Each of the attributes is detailed as follows:

1. crim per capita crime rate by town.
2. zn proportion of residential land zoned for lots over 25,000 square feet. ...