Practice Underfitting (8.6.2) - Evaluation - CBSE 10 AI (Artificial Intelleigence)

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8 questions

Flashcard drill
2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is underfitting?
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Think about what happens when a model fails to identify trends.
Question 2.
What are signs of underfitting?
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What does performance look like on both data sets?
3Question 3.
What is a key indicator of underfitting?
- High training accuracy
- Low training and test accuracy
- High test accuracy
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Think about the performance metrics.
4Question 4.
True or False: Underfitting means the model is too complex.
- True
- False
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Consider what happens with a simple model.
Question 5.
You have developed a model that consistently reports 50% accuracy on your training dataset. Discuss the implications and possible next steps.
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What does the accuracy tell you about the model's performance?
Question 6.
Propose a method to identify whether underfitting or overfitting is occurring in your model based on training and validation results.
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Consider the training vs testing performance narrative.

4 more questions in this section. Enroll free to practise them all.