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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define cross-validation in your own words.
π‘ Hint: Think about evaluating performance on unfamiliar datasets.
Question 2
Easy
What is the purpose of k-fold cross-validation?
π‘ Hint: Consider why we might want to see how the model performs across different samples.
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 cross-validation primarily used for?
π‘ Hint: Think about why we evaluate model performance.
Question 2
True or False: k-fold cross-validation can help with overfitting issues.
π‘ Hint: Consider what happens when a model struggles with unseen data.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset of 1000 samples, describe how you would perform 10-fold cross-validation. What insights might you gain?
π‘ Hint: Think about how each fold contributes to a clearer picture of model performance.
Question 2
Discuss how the choice of k in k-fold cross-validation influences the evaluation process, considering computational time and bias.
π‘ Hint: Reflect on the trade-offs involved in choosing k.
Challenge and get performance evaluation