- We use a housing dataset from UCI Machine Library Repository. 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 (that is, features) that try to explain the median price (the 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.
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 ... |