Learning Path
Question & Answer1
Understand Question2
Review Options3
Learn Explanation4
Explore TopicChoose the Best Answer
A
High precision often requires simpler models, thus needing less regularization.
B
High recall typically leads to complex models, requiring aggressive regularization.
C
Both precision and recall can influence the choice of regularization, with high values indicating a need for different techniques.
D
Precision and recall are unrelated to regularization techniques.
Understanding the Answer
Let's break down why this is correct
Answer
Precision and recall show how well a multi‑class model predicts each class, and they expose different overfitting patterns. If precision is high while recall is low, the model is likely memorizing frequent classes and ignoring rarer ones, so stronger regularization such as L1 or dropout should be increased to reduce complexity and encourage the model to spread its attention. Conversely, if recall is high but precision is low, the model may be over‑generalizing, and a softer L2 penalty can help it learn sharper decision boundaries. For example, a three‑class classifier that scores 0. 95 precision but only 0.
Detailed Explanation
Precision and recall show how well the model predicts each class. Other options are incorrect because The idea that high precision means a simpler model is a misconception; High recall does not automatically mean the model is complex.
Key Concepts
Precision and recall
Regularization techniques
Topic
Multi-class Loss Functions
Difficulty
medium level question
Cognitive Level
understand
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Question 5In a multi-class classification problem, how does the choice of loss function impact the gradient descent optimization process?
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Question 6If a multi-class classification model consistently yields high accuracy but performs poorly on a specific underrepresented class, what underlying issue might this indicate about the loss function used?
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Question 7Which of the following loss functions are suitable for evaluating the performance of multi-class classification models? Select all that apply.
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