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:

**Observed values:**

**Predicted values:**

Mean Absolute Error = 2.42857