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Using a Target Error Rate on a Learning Curve
Question: Explain what a target error rate means for a learning algorithm and how a developer should show it on a learning curve.
Sample answer: A target error rate is the level of error the developer wants the model to reach. During development, that target should be drawn on the learning curve as a horizontal reference line so the team can compare current results with the goal.
Key points:
- A target error rate is the performance level the developer wants the algorithm to achieve.
- The target should be shown on the learning curve as a reference line.
Rubric: The response must define the target error rate as the level of error the developer wants the algorithm to achieve. It must also state that the target should be plotted on the learning curve.
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