Cascading classifiers

Cascading classifiers are a way to make predictions about things by combining two different sets of information. Imagine you're trying to decide if you should buy a toy car. One way to make your decision is to look at two different sets of information - the price of the toy car and how well it performs. Together, these two bits of information will help you decide if it's a good buy. That's what cascading classifiers do - they put together two sets of information to make a prediction. Think of it like a puzzle - the two pieces fit together like a puzzle, and together, they give you the answer you need to make a decision.