Practice Nested Cross-Validation - 12.3.E | 12. Model Evaluation and Validation | Data Science Advance
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12.3.E - Nested Cross-Validation

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What are the two main components of nested cross-validation?

💡 Hint: Think about the concept of separating testing from training.

Question 2

Easy

What is data leakage?

💡 Hint: Consider scenarios where training may get wrongly influenced.

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 main function of the outer loop in nested cross-validation?

  • To tune hyperparameters
  • To estimate model performance
  • To train the model

💡 Hint: Think about what happens when you measure a model's predictive ability.

Question 2

True or False: Nested cross-validation prevents data leakage.

  • True
  • False

💡 Hint: Recall the importance of separating testing from the training phase.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create a nested cross-validation framework for a given dataset, including how to handle hyperparameter tuning, discussing the advantages and shortcomings.

💡 Hint: Identify key belongings of hyperparameters that could impact predictions.

Question 2

Analyze a model evaluation scenario where nested cross-validation wasn't used, and explain the possible implications and advantages had it been applied.

💡 Hint: Reflect on what happens if tuning data leaks into performance metrics.

Challenge and get performance evaluation