- We use a housing dataset from the UCI machine library depository. You can download the entire dataset from the following URL:
https://archive.ics.uci.edu/ml/machine-learning-databases/housing/
The dataset comprises 14 columns with the first 13 columns being the independent variables (features) that try to explain the median price (last column) of an owner-occupied house in Boston, USA.
We have chosen and cleaned the first eight columns as features. We use the first 200 rows to train and predict the median price:
- Start a new project in IntelliJ or in an IDE of your choice. Make sure that the necessary JAR files are included. ...
