Practice Training Set - 8.3.1 | 8. Evaluation | CBSE 10 AI (Artificial Intelleigence)
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Training Set

8.3.1 - Training Set

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a training set used for?

💡 Hint: Think about the core purpose of any dataset in AI.

Question 2 Easy

Name one important feature of a training set.

💡 Hint: Why do we need balance in the dataset?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the purpose of a training set?

To evaluate model performance
To train the model
To validate the model

💡 Hint: Think about its primary role during the learning phase.

Question 2

True or False: A training set is always the same as a test set.

True
False

💡 Hint: Consider their purposes in the model lifecycle.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a training set for a model that predicts customer churn based on usage data. Describe the characteristics you would include.

💡 Hint: Think about different customer interactions that might influence retention.

Challenge 2 Hard

You encountered overfitting while testing your model. What steps would you take to refine the training set and improve model performance?

💡 Hint: Reflect on solutions that both increase variety and reduce noise.

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