Artificial intelligence · University
Mean squared error on three cases
Average across the three observations, not only the nonzero errors.
Method and conditions
Average across the three observations, not only the nonzero errors.
MSE = Σ(ŷ−y)²/n
Worked examples
Three prediction errors (prediction minus target) are 8, 7, -3. Find mean squared error. Round the final result to 4 decimal places if needed.
Square each error, sum to 122, then divide by 3.
40.6667
Three prediction errors (prediction minus target) are 2, 9, 4. Find mean squared error. Round the final result to 4 decimal places if needed.
Square each error, sum to 101, then divide by 3.
33.6667
Try it
Three prediction errors (prediction minus target) are -8, 7, -9. Find mean squared error. Round the final result to 4 decimal places if needed.
Three prediction errors (prediction minus target) are -3, -10, 10. Find mean squared error. Round the final result to 4 decimal places if needed.
Check your work
Answers and marking notes
- 64.6667
Square each error, sum to 194, then divide by 3.
- 69.6667
Square each error, sum to 209, then divide by 3.
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