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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does a True Positive (TP) signify in a confusion matrix?
💡 Hint: Think of it as right answers for positive cases.
Question 2
Easy
Explain what a False Positive (FP) is.
💡 Hint: Consider it as a wrong answer for a positive case.
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 purpose of a confusion matrix?
- To visualize data
- To evaluate model performance
- To train models
💡 Hint: Consider what tools are used after training a machine learning model.
Question 2
True or False: True Negatives represent the number of negative classes that were incorrectly predicted as positive.
- True
- False
💡 Hint: Remember what 'true' means in this context.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a model's confusion matrix: TP = 25, TN = 50, FP = 5, FN = 20. What is the accuracy, precision, and recall?
💡 Hint: Calculate each metric using their respective formulas.
Question 2
Discuss how you would improve a classification model if the confusion matrix shows a high number of False Negatives.
💡 Hint: Think about adjustments that could help the model learn better.
Challenge and get performance evaluation