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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define Accuracy.
💡 Hint: Think about all the predictions made by the model.
Question 2
Easy
What does Precision measure?
💡 Hint: It focuses on the accuracy of positive predictions.
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 Accuracy measure?
- Total correct predictions
- Total false predictions
- True positives only
💡 Hint: Think about how many choices were entirely correct.
Question 2
Precision focuses on which aspect?
- Overall predictions
- Correctness of predicted positives
- Total negatives
💡 Hint: Remember, it defines the quality of positive identifications.
Solve 3 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Suppose you have a dataset with a class imbalance where 90% are negatives and only 10% are positives. If your model predicts all of them as negative, what would be the accuracy, precision, recall, and F1 Score?
💡 Hint: Calculate each metric based on the confusion matrix components.
Question 2
Analyze a classification model that generates the following confusion matrix: TP=25, TN=15, FP=5, FN=5. What are the accuracy, precision, recall, and F1 score?
💡 Hint: Follow the definitions of each metric to guide your computations.
Challenge and get performance evaluation