Step 5: Train your ML model, ensuring it detects patterns in a sensible way

ML algorithms “learn” from your data, deriving functional predictive models. Your model emerges from a “rule” or “pattern” that an algorithm derives from your data and uses to make predictions. While it can be tempting to greenlight a model when it aligns with your human intuition, understanding your model is not typically a straightforward process. 

“When a newborn model emerges, it absorbs all your attention. Like counting a baby’s fingers and toes, you examine it thoroughly, poking around to see how well it works and why — what makes it tick.”