A supervised orchard-pest identifier was fitted on photos whose tags disagree with the agronomist. Why does label quality matter?
Select an answer to reveal the explanation.
Short Explanation
A supervised orchard-pest identifier learns from the tags. Inaccurate or inconsistent labels teach the wrong habit and undermine performance and generalization. Claiming the model ignores labels, substituting a Chapter 6 overfitting procedure, or parking the duty in a Chapter 3 metric calculation all miss why label quality is an input-data test.
Full Explanation
Label quality is essential in supervised learning because wrong tags teach the wrong habit. Claiming labels are ignored, substituting Chapter 6, or moving the duty to Chapter 3 misses that reason.