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Practice Questions
Test your understanding with targeted questions related to the topic.
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?
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
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.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation