The Black Box Model

The Black Box Model refers to a system or process where the internal workings are hidden or unknown, so we only observe the inputs that go in and the outputs that come out. Think of it like a sealed container: you don’t see what happens inside, but you can see what you put in and what you get out. This model is common in fields like machine learning, where algorithms learn patterns from data without revealing their internal decision-making process. It helps understand outcomes without needing full knowledge of the complex internal mechanisms.