ClarityHow to use this tool
- Enter actual values, predicted values.
- Select Calculate to view the result.
- Check the method and assumptions below before using the result.
The method, explained
Errors are forecast minus actual. MAE averages absolute errors; RMSE is the square root of mean squared error. MAPE averages absolute relative errors; WAPE divides total absolute error by total absolute actual.
Using actual values = 100, 200, 300, predicted values = 110, 180, 330, the result is 20. Change these example inputs to match your task; use the method above to check each step.
What to keep in mind
Main result is MAE in the original units. Zero actual values make MAPE undefined; negatives are handled by absolute denominators. A descriptive or probability calculation under the stated assumptions. Check the sample design and model before interpreting results.
Common questions
Which inputs does this calculation need?
Compare aligned actual and predicted values using MAE, RMSE, bias, MAPE and WAPE. Enter actual values, predicted values. The filled example is editable and is not a saved personal record.
How should I interpret the result?
Main result is MAE in the original units. Zero actual values make MAPE undefined; negatives are handled by absolute denominators. A descriptive or probability calculation under the stated assumptions. Check the sample design and model before interpreting results.
Methodology maintained by ClarityKit. How these tools are built and checked.