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|y_i – x_i|

where:

• y_i: The observed value for the i^th observation
• x_i: The predicted value for the i^th 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:

Mean Absolute Error = 2.42857