October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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Mean absolute error
The mean_absolute_error function computes mean absolute error, a risk metric corresponding to the expected value of the absolute error loss, or l1-norm loss. If ŷi is the predicted value of the ith sample, and yi is the corresponding true value, then the mean absolute error (MAE) estimated over n samples is defined as follows:
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