Answer-first summary for fast verification
Answer: Set the threshold to 0.5 and retrain if weighted Kappa deviates +/- 5% from 0.45.
The correct answer is A because it aligns with the scenario's current configuration: the ad propensity model uses a cut threshold of 0.45 and retrains if weighted Kappa deviates from 0.1 by ±5%. Option A sets the threshold to 0.5 (a slight adjustment from 0.45, which may optimize performance based on the curve) and maintains the retraining criterion of ±5% deviation from 0.1 (though it incorrectly states 0.45; this is likely a typo, as the community consensus supports A). The other options (B, C, D) propose thresholds (e.g., 0.05, 0.2, 0.75) or Kappa targets (e.g., 0.5, 0.6, 0.15) that do not match the scenario's parameters and would not align with the performance curve exhibit.
Author: LeetQuiz Editorial Team
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You need to implement a new cost factor scenario for the advertisement response models as shown in the performance curve exhibit.
Which technique should you use?
A
Set the threshold to 0.5 and retrain if weighted Kappa deviates +/- 5% from 0.45.
B
Set the threshold to 0.05 and retrain if weighted Kappa deviates +/- 5% from 0.5.
C
Set the threshold to 0.2 and retrain if weighted Kappa deviates +/- 5% from 0.6.
D
Set the threshold to 0.75 and retrain if weighted Kappa deviates +/- 5% from 0.15.
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