A label is the answer attached to an example. Some AI systems learn patterns from labeled examples and use them to predict labels for new inputs. A prediction is a guess based on learned patterns, not a guaranteed fact. Our simple rule is a paper model, not a complete AI system.
Worked example
Three training cards show red apples. A sorter guesses that every red item is an apple. A red toy car breaks that rule. The sorter needs better evidence; making the guess loudly would not make it right.
A Fictional Fruit Sorter
Training cards: three red apples and three yellow bananas. The paper sorter predicts apple for every red item and banana for every yellow item. Test cards: a red apple, a red toy car, a yellow banana and a green apple. The rule gives no answer for green. Use only these invented cards, not photos or personal details.