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A satisficing metric is one that only needs to clear a preset threshold rather than be maximized as far as possible. For example, if a customer support tool must answer within 80 milliseconds to feel responsive, then response time can be used as a satisficing metric with an upper limit of 80 ms.

Acceptable-Threshold Metric

What is the key idea behind a satisficing metric?

A satisficing metric must be maximized as much as possible before a model can be considered acceptable.

A satisficing metric only needs to be _____ once it reaches an acceptable threshold.

Match each satisficing-metric term to its meaning in a delivery-delay example.

Order the Steps for Making Latency a Satisficing Metric

Question:
Why does treating inference latency as a satisficing metric make it easier to choose among classifiers?

Sample answer:
Using latency as a satisficing metric means the team only needs each candidate model to stay under an agreed limit, such as 80 ms per prediction. After a model meets that requirement, latency no longer has to be optimized further. The choice among the remaining models can then be made using the main objective, such as validation accuracy or F1 score, without balancing speed against performance in the selection step.

Key points:
- A satisficing metric must meet a minimum or maximum acceptable threshold.
- Once the threshold is satisfied, extra improvement on that metric is not necessary.
- This removes the need to trade off latency against predictive quality.
- Model comparison becomes simpler because only the main objective remains to be optimized.

Rubric:
Full credit responses explain that a satisficing metric is checked against a fixed threshold rather than optimized directly, and that this lets the team ignore latency once the requirement is met and focus on the main performance metric. Partial credit for mentioning the threshold idea without explaining the simplification benefit.

Why a latency threshold can simplify model selection

Case context:
A team compares two text classifiers. Model A takes 145 ms per request and reaches 84% F1 score. Model B takes 110 ms per request and reaches 81% F1 score. The team treats running time as a satisficing metric with an acceptable limit of at most 150 ms.

Question:
Using the satisficing-metric rule for running time, which model should the team choose, and why?

Sample answer:
Both Model A and Model B meet the running-time limit of at most 150 ms, so running time no longer separates the two options. Because running time is only a satisficing metric, the team should choose based on the remaining metric, which is F1 score. Model A has the higher F1 score (84% vs. 81%), so Model A should be selected.

Key points:
- Both models satisfy the 150 ms running-time limit.
- A satisficing metric only needs to clear the threshold; it is not optimized further once the limit is met.
- Since both models pass the time constraint, the choice should depend on the other metric.
- Model A should be selected because it has the better F1 score.

Rubric:
Full credit responses recognize that both models satisfy the running-time threshold, explain that running time is not the deciding factor after that point, and correctly choose the model with the higher F1 score. Partial credit for identifying that both models meet the time limit without making the final selection correctly.

Choose the model that satisfies the time limit and gives the better score.

Question:
In one to three sentences, describe what it means if runtime is judged by a 100 ms cutoff as a satisficing metric.

Sample answer:
It means the system only has to stay at or under 100 milliseconds to count as acceptable. Once that cutoff is met, extra effort to make it even faster is not required by this metric.

Key points:
- Any runtime no greater than 100 ms meets the requirement.
- The objective is to pass the cutoff, not to keep reducing runtime.
- This is a threshold-based criterion rather than an optimization target.

Rubric:
Full credit answers state that the runtime must be at or below 100 ms and that passing the threshold is sufficient. Partial credit for mentioning the 100 ms limit without explaining that no further speed improvement is needed.

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