Practice Mean Absolute Error (mae) (3.3.3) - Supervised Learning - Regression & Regularization (Weeks 3)
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Mean Absolute Error (MAE)

Practice - Mean Absolute Error (MAE)

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Calculate the MAE for actual values [10, 20, 30] and predicted values [12, 18, 29].

💡 Hint: Use the absolute differences and divide by how many values there are.

Question 2 Easy

What does a lower MAE indicate?

💡 Hint: Think about accuracy in predictions.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the formula for MAE?

💡 Hint: Recall what each component of the formula represents.

Question 2

True or False: MAE is more sensitive to outliers compared to MSE.

💡 Hint: Consider how squaring affects error contribution.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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?

💡 Hint: Calculate individual absolute differences before averaging.

Challenge 2 Hard

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?

💡 Hint: Sum the absolute differences and divide by the number of predictions.

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Reference links

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