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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the formula for calculating accuracy?
💡 Hint: Think about how many predictions your model made correctly.
Question 2
Easy
Define precision in the context of model evaluation.
💡 Hint: Focus on how many positive predictions were actually correct.
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 does the accuracy of a model indicate?
- The proportion of correct predictions
- The number of true positives
- The overlap of n-grams
💡 Hint: Consider the total predictions made.
Question 2
True or False: A high precision score always indicates a good model.
- True
- False
💡 Hint: Think about the balance between precision and recall.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A classification model returns 100 total predictions: 80 true positives, 10 false positives, and 10 false negatives. Calculate the precision, recall, and F1-score.
💡 Hint: Use the formulas for precision, recall, and F1-score provided in class.
Question 2
Consider a machine translation output with a BLEU score of 0.65. If the reference translation had an n-gram overlap of 60%, discuss whether this is an acceptable score and why.
💡 Hint: Evaluate the BLEU score compared to industry standards.
Challenge and get performance evaluation