A pest identifier misses its agreed score, looks overfitted on greenhouse shots, and flips on tiny input tweaks. Which risk lane is that?
Select an answer to reveal the explanation.
Short Explanation
A pest identifier that misses its agreed score, looks overfitted on greenhouse shots, and flips on tiny input tweaks is the model product-risk lane: missed ML performance, overfitting, and adversarial susceptibility. Chapter 6 owns those techniques. Name the lane only.
Full Explanation
Missed ML performance, overfitting, and adversarial susceptibility are model-lane risks. Input-data, development, and Chapter 5 filings miss that lane. Do not teach the later-chapter methods here.