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