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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does accuracy measure in the context of model evaluation?
💡 Hint: Think about how we assess predictions in AI models.
Question 2
Easy
If a model predicts 70 correctly out of 100, what is the accuracy?
💡 Hint: Use this formula: (Correct Predictions / Total Predictions) * 100.
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 the formula for calculating accuracy?
💡 Hint: Think about the components mentioned in the accuracy discussion.
Question 2
True or False: Accuracy is always the best metric to evaluate model performance.
- True
- False
💡 Hint: Why would other metrics be necessary?
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are given a model with the following confusion matrix: TP=55, TN=45, FP=5, FN=10. What is the accuracy? How does this affect your decision on the model's effectiveness?
💡 Hint: Use the accuracy formula.
Question 2
In a binary classification task, a model has an accuracy of 90% but only 30% precision. Discuss what this means for real-world application.
💡 Hint: Think about what it means to have high accuracy and low precision.
Challenge and get performance evaluation