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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is final model training?
π‘ Hint: Think about the training data utilization.
Question 2
Easy
Why is using all available training data important?
π‘ Hint: Consider the impact on generalization.
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 final model training?
π‘ Hint: Focus on what happens before evaluation.
Question 2
True or False: The held-out test set is used during model training.
π‘ Hint: Consider how test data is traditionally used.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
You trained a model using only a portion of your dataset, then you trained another with the entire set. Document the differences in performance metrics you would expect on the test set and explain why this occurs.
π‘ Hint: Consider the capacity of the model vs. what data it had access to during training.
Question 2
If the final model evaluation indicates an AUC of 0.6, what might this suggest about your model? Propose steps that could improve this performance.
π‘ Hint: Think about data richness and modeling approaches.
Challenge and get performance evaluation