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The mean absolute percentage error (MAPE) is a metric that tells us how far apart our predicted values are from our observed values in a regression analysis, on average. It is calculated as:

MAPE = (1/n) * Σ(|Oi – Pi|/Oi * 100


  • Σ is a fancy symbol that means “sum”
  • Pi is the predicted value for the ith observation
  • Oi is the observed value for the ith observation
  • n is the sample size

To find the MAPE for a regression, simply enter a list of observed values and predicted values in the two boxes below, then click the “Calculate” button:

Observed values:

Predicted values:

MAPE = 2.43242%

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