Chapter 4: Feature Engineering for Machine Learning - Data Science Primer

After completing Data Cleaning and Feature Engineering, you'll have transformed your raw dataset into an analytical base table (ABT). We call it an "ABT" because it's what you'll be building your models on. As a final tip: Not all of the features you engineer need to be winners. In fact, you'll often find that many of them don't improve your model. That's fine because one highly predictive feature makes up for 10 duds.