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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a validation set?
💡 Hint: Think about its function in model training.
Question 2
Easy
Why is it important not to mix validation and training data?
💡 Hint: Consider the evaluation fairness.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary purpose of a validation set?
💡 Hint: Think about when we use the validation set.
Question 2
True or False: A test set is used during the training process.
💡 Hint: Consider when the test set is utilized.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
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.
💡 Hint: Think about ways to refine your model approach.
Question 2
Design an experiment to test the effectiveness of your validation set compared to a model without one. Outline metrics for success.
💡 Hint: Identify key performance metrics you'd want to track.
Challenge and get performance evaluation