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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the formula for accuracy?
π‘ Hint: Consider the components of true positives and negatives.
Question 2
Easy
Define precision in your own words.
π‘ Hint: Think about false positives.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does accuracy measure in classification tasks?
π‘ Hint: Think about all correct and incorrect predictions.
Question 2
Is Precision always more informative than Accuracy in imbalanced datasets?
π‘ Hint: Consider the impact of negative cases.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
You have a class imbalance where you predicted 100 positives and 70 of them are true positives, while 30 are false positives. Calculate precision. Discuss the significance.
π‘ Hint: Think about what happens when false positives are high.
Question 2
Given MSE = 16 and N=4 for your predictions, how would you interpret this in terms of model performance? Compare this with RMSE.
π‘ Hint: Consider how errors impact decisions.
Challenge and get performance evaluation