The Importance of Feature Engineering and Selection

In machine learning your model is only ever as good as the data you train it on. As such a significant proportion of your effort should be focused on creating a dataset that is optimised to maximise the information density of your data. Feature engineering and selection are the methods used for achieving this goal.

In this context, the definition of a feature will be a column or attribute of the data.

Feature engineering is (more...)