Practice Final Model Evaluation and Interpretation - lab.6 | Module 6: Introduction to Deep Learning (Weeks 11) | Machine Learning
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lab.6 - Final Model Evaluation and Interpretation

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a confusion matrix?

πŸ’‘ Hint: Think about how we assess correctness in classification tasks.

Question 2

Easy

What is the purpose of the F1 score?

πŸ’‘ Hint: Consider both correct and incorrect classifications in your response.

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 purpose of a confusion matrix?

  • To summarize model architecture
  • To visualize actual vs. predicted results
  • To evaluate model training time

πŸ’‘ Hint: Think about how model accuracy is represented.

Question 2

True or False: F1 score is useful when dealing with imbalanced datasets.

  • True
  • False

πŸ’‘ Hint: Reflect on how correct classifications impact evaluations.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Your model's confusion matrix shows that it struggles to classify a specific class correctly while performing well on others. Discuss the steps you would take to improve its performance.

πŸ’‘ Hint: Consider both data-related and technical adjustments.

Question 2

You have noticed the residual plot shows a significant pattern indicating systematic errors. How would you address this in your regression analysis?

πŸ’‘ Hint: Think about model adaptability in line with observed data trends.

Challenge and get performance evaluation