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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define what model evaluation is.
💡 Hint: Think about why we test models.
Question 2
Easy
What is the main purpose of the training set?
💡 Hint: What do we do with data before we test it?
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 model evaluation?
💡 Hint: Recall what we do after training a model.
Question 2
Which of the following is used to assess the performance of models?
- Training set
- Validation set
- Test set
💡 Hint: Consider which dataset isn't used during training.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a dataset with 90% class A and 10% class B. Your model predicts all as class A. Discuss how it would score on accuracy, precision, and recall.
💡 Hint: Remember the definitions of each metric.
Question 2
Design a plan for evaluating a new machine learning model intended for medical diagnosis showing both potential overfitting and underfitting.
💡 Hint: Think about what methods help in avoiding each problem.
Challenge and get performance evaluation