Statistics & probability

Prediction error calculator

Compare matched actual and predicted values with common error measures.

Prediction error calculator
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Your inputs

Up to 50,000 values. No thousands separators. Absolute values up to 1 trillion; non-zero values must be at least 1e-100 in magnitude.

Up to 50,000 values. No thousands separators. Absolute values up to 1 trillion; non-zero values must be at least 1e-100 in magnitude.

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A clear answer. Here’s how.

Error is predicted−actual. Reports mean error (bias), MAE and RMSE over paired values. MAPE averages |error/actual| only over non-zero actual values and states that subset size; it is undefined if all actual values are zero. Metrics use your supplied predictions and are not out-of-sample validation.

See a worked example

Worked example

A fixed demonstration, separate from the values you enter above.

Actual values
10, 20, 30, 40
Predicted values
12, 18, 33, 39

Example result

Mean error (predicted − actual)
0.5
Mean absolute error
2
Root mean square error
2.12132034356
MAPE
10.625%
MAPE non-zero actual pairs
4
All pairs
4

Keep going.

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