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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is model evaluation?
💡 Hint: Think about why we test models before using them.
Question 2
Easy
Name one metric used in evaluating AI models.
💡 Hint: It's about how often the model gets the right answer.
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 a key metric for evaluating model performance?
- R-squared
- Accuracy
- F1-score
💡 Hint: It's often the first metric mentioned.
Question 2
True or False: Evaluation is only necessary if the model performs poorly during training.
- True
- False
💡 Hint: Think about deployment risks.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Describe a scenario where a lack of evaluation could lead to a detrimental outcome in AI use.
💡 Hint: Consider sectors where trust is crucial.
Question 2
Create an evaluation plan addressing potential biases in AI model predictions.
💡 Hint: Reflect on fairness and representation.
Challenge and get performance evaluation