Practice Final Model Evaluation And Interpretation (lab.6) - Introduction to Deep Learning (Weeks 11)
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Final Model Evaluation and Interpretation

Practice - Final Model Evaluation and Interpretation

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a confusion matrix?

💡 Hint: Think about how we assess correctness in classification tasks.

Question 2 Easy

What is the purpose of the F1 score?

💡 Hint: Consider both correct and incorrect classifications in your response.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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

💡 Hint: Think about how model accuracy is represented.

Question 2

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

True
False

💡 Hint: Reflect on how correct classifications impact evaluations.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

💡 Hint: Consider both data-related and technical adjustments.

Challenge 2 Hard

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

💡 Hint: Think about model adaptability in line with observed data trends.

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Reference links

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