Label
The correct answer attached to a training example.
A label is the target a supervised model is trying to reproduce — the category, the number, the right output. Label quality caps model quality: if annotators disagree or are careless, no amount of compute fixes it.
In practice: In a photo dataset, ‘cat’ is the label; the pixels are the features.