Computer scienceData scienceMachine learningRegressionRegression metrics

MAE

The error weight

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Consider the following dataset:

$x$	$y$	$\hat{y}$
0	3.2	4
1	4.7	4.3
2	4	4.6
3	5.6	4.9
4	5.6	5.2
5	6.2	5.5
6	5.1	5.8
7	6.4	6.1

Find the samples that contributed the biggest and the smallest errors towards the final MAE score, in percentages. Select the two correct options from the list below.

Select one or more options from the list

Biggest error is approximately 15%, and corresponds to x = 3

Smallest error is approximately 9%, and corresponds to x = 1

Biggest error is approximately 17%, and corresponds to x = 0

Smallest error is approximately 7%, and corresponds to x = 7

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