The Prediction Error Calculator helps you quickly determine the discrepancy between predicted and actual values. Essential for evaluating machine learning models, forecasts, and statistical analyses, this tool computes absolute, squared, and percentage errors, providing crucial insights into your model's performance and accuracy. Simply input your actual and predicted values to get instant results.
Formula:
The Prediction Error Calculator uses the following formulas:
- Error (Difference):
E = P - A - Absolute Error:
|E| = |P - A| - Squared Error:
E2 = (P - A)2 - Percentage Error:
%E = ((P - A) / A) * 100%(Note: This is undefined if Actual Value (A) is zero.)
Where:
- P = Predicted Value
- A = Actual Value