Forecast Accuracy Formula:
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Definition: Forecast accuracy measures how close your predictions are to actual observed values.
Purpose: It helps businesses evaluate the effectiveness of their forecasting methods and improve future predictions.
The calculator uses the formula:
Where:
Explanation: The formula calculates the percentage difference between forecast and actual values, then subtracts from 1 to get accuracy.
Details: Accurate forecasting helps with inventory management, resource allocation, budgeting, and strategic planning.
Tips: Enter your forecasted value and the actual observed value. The actual value must be greater than 0.
Q1: What does 100% accuracy mean?
A: 100% accuracy means your forecast perfectly matched the actual value.
Q2: Can accuracy be negative?
A: Yes, if your forecast is more than double the actual value, accuracy can be negative.
Q3: What's considered good accuracy?
A: This varies by industry, but generally 80-95% is considered good for most business forecasts.
Q4: How can I improve forecast accuracy?
A: Use better data, more sophisticated models, consider seasonality, and regularly update forecasts.
Q5: Are there other accuracy metrics?
A: Yes, alternatives include MAPE, RMSE, and WAPE, but this simple percentage method is widely used.