Mathematics, 20.11.2019 20:31 errinbaker4683
The mean absolute error, mean squared error, and mean absolute percentage error are all methods to measure the accuracy of a forecast. these methods measure forecast accuracy by select one:
a. adjusting the scale of the data.
b. using the current value to estimate how well the model generates previous values correctly.
c. determining how well a particular forecasting method is able to reproduce the time series data that are already available.
d. predicting the future values and wait for a pre-defined time period to examine how accurate the predictions were.
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The mean absolute error, mean squared error, and mean absolute percentage error are all methods to m...
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