Practice Validation Set (8.3.2) - Evaluation - CBSE 10 AI (Artificial Intelleigence)

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9 questions

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3 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
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is a validation set?
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Think about its function in model training.
Question 2.
Why is it important not to mix validation and training data?
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Consider the evaluation fairness.
3Question 3.
What is the primary purpose of a validation set?
- To train the model
- To tune model parameters
- To test final performance
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Think about when we use the validation set.
4Question 4.
True or False: A test set is used during the training process.
- True
- False
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Consider when the test set is utilized.
Question 5.
You are training a model with 1,000 samples, deciding to allocate 20% for validation. After evaluating performance, you find significant overfitting. Discuss your next steps.
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Think about ways to refine your model approach.
Question 6.
Design an experiment to test the effectiveness of your validation set compared to a model without one. Outline metrics for success.
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Identify key performance metrics you'd want to track.

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