The Loss Function Is a Business Decision, Not a Math Default

I used to think choosing a loss function was a technical detail. Something the framework handled for you. It isn't. It's one of the most consequential decisions in your entire ML pipeline. And most teams never make it consciously. Why MSE Fails for Classification When you first learn machine learning, the loss function is Mean Squared Error. It makes sense for regression. But apply it to a churn prediction model and things break fast. Consider this scenario. Your model predicts 2% churn…