Analytics Engineering & BI Strategy

Regression predicts a number. Classification predicts a category. The difference sounds simple, but it shapes everything — which algorithms to use, how to evaluate results, and what your model actually outputs.

Main effects tell you what each variable does in isolation. Interaction effects tell you whether the combination matters. Here's how to test for both using Python's statsmodels.