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Mean
Absolute Error is the average difference between actual and predicted
y values, ignoring negative signs. It provides a measure of how close
a modeling line is to your actual data.
To find the mean
absolute error
of a graph, you
must first find
the vertical
distances of each
point from the
line of the graph.
You then
simply find the
arithmetic average
of all of these
differences. An
example is given
below for practice.
The first two
rows have been
comleted. Finish
the problem! (Did
you get 1.4??) |
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