Mean Absolute Error Calculator

In statistics, the mean absolute error (MAE) is a way to measure the accuracy of a given model. It is calculated as:

MAE = (1/n) * Σ|yi – xi|

where:

  • yi: The observed value for the ith observation
  • xi: The predicted value for the ith observation
  • n: The total number of observations

This calculator finds the mean absolute error for a given model.

Simply enter a list of observed values and a list of predicted values in the boxes below, then click the “Calculate” button:

Observed values:

Predicted values:

Mean Absolute Error = 2.42857

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