Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβperfect for learners of all ages.
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Calculate the MAE for actual values [10, 20, 30] and predicted values [12, 18, 29].
π‘ Hint: Use the absolute differences and divide by how many values there are.
Question 2
Easy
What does a lower MAE indicate?
π‘ Hint: Think about accuracy in predictions.
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 is the formula for MAE?
π‘ Hint: Recall what each component of the formula represents.
Question 2
True or False: MAE is more sensitive to outliers compared to MSE.
π‘ Hint: Consider how squaring affects error contribution.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset of actual sales: [120, 150, 200, 160] and predictions: [130, 145, 190, 155], calculate the MAE. What does this value indicate about the model's predictions?
π‘ Hint: Calculate individual absolute differences before averaging.
Question 2
In a real estate model, actual prices are [300k, 400k, 500k] and predicted prices are [310k, 420k, 490k]. What is the MAE, and how does it reflect the model's performance?
π‘ Hint: Sum the absolute differences and divide by the number of predictions.
Challenge and get performance evaluation