Practice - Evaluation Metrics in NLP
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Practice Questions
Test your understanding with targeted questions
Define accuracy in the context of classification tasks.
💡 Hint: Think about the correct predictions versus the total predictions.
What does precision measure?
💡 Hint: Consider what true positives are.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main purpose of evaluation metrics in NLP?
💡 Hint: Think about how we determine whether a model is good or not.
Which metric is NOT commonly used for evaluating classification tasks?
💡 Hint: Remember the specific application of each metric.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
A model for identifying spam in emails achieved a high accuracy but failed to catch many actual spam emails. Discuss how precision and recall provide a clearer picture of the model's effectiveness.
💡 Hint: Consider how the model's predictions relate to the actual spam emails.
Propose how you would evaluate a summarization model's output. What metrics would you choose, and why?
💡 Hint: Think about what you want to measure in the output quality.
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