Label (Target Value)

Expected output in supervised learning.

---

Labels are the target values a model learns to predict.

• Properties: Accuracy, consistency, annotation quality.
• Variants: Weak labels, multiple labels, noisy labels.
• Practice: Clear annotation guidelines, label audits, quality metrics.