9.8 - Evaluation Metrics for NLP
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Practice Questions
Test your understanding with targeted questions
What is the formula for calculating accuracy?
💡 Hint: Think about how many predictions your model made correctly.
Define precision in the context of model evaluation.
💡 Hint: Focus on how many positive predictions were actually correct.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does the accuracy of a model indicate?
💡 Hint: Consider the total predictions made.
True or False: A high precision score always indicates a good model.
💡 Hint: Think about the balance between precision and recall.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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