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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does MAE stand for and how is it calculated?
π‘ Hint: Look for average and absolute differences in your resources.
Question 2
Easy
What is MSE and why is it important?
π‘ Hint: Think about how squaring errors affects their significance.
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 RMSE provide that's different from MAE?
π‘ Hint: Think about which metric helps in understanding actual data more clearly.
Question 2
True or False: MAPE can be misleading when actual values are close to zero.
π‘ Hint: Consider the impact of division by small numbers.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
A forecasting model predicts sales for five consecutive months. The predictions were [200, 220, 240, 250, 230], while the actual sales were [180, 210, 240, 270, 210]. Calculate MAE, MSE, and RMSE.
π‘ Hint: Work step by step: calculate the differences first!
Question 2
Explain why MAPE might be a misleading metric in certain situations and suggest an alternative.
π‘ Hint: Reflect on the cases where actuals fluctuate significantly.
Challenge and get performance evaluation