Question

Define absolute error ,mean absolute error, relative error and mean percentage error.

Answer 1

Answer:

Absolute Error

Measuring the maximum far off point of a measurement from the true value is called absolute measurement.  

(Δx) = xi – x,

 Relative Error

Relative measurement measures the difference between the absolute error and the size of the object being measured.  

RA  = AR/ known value

Mean Absolute Error

The average of all absolute errors is called mean absolute error .

Mean Absolute Percentage Error

The statistical measurement of the forecast system is called the mean percentage error.  

Answer 2

Error (statistical error) defines the variance between a value acquired from a data gathering process and the actual value for the populace

EXPLANATION:

• Absolute Error: The variance between the inferred or measured value of a quantity and its real value, is known as the absolute error. The absolute error of the difference or sum of a number of quantities is equal to or less than the sum of their absolute errors.
• Mean Absolute Error: It is a measure of variance between two continuous variables. The mean absolute error is an avg. of the absolute errors. The mean absolute error is a common measure of forecast error in time series analysis. It is one of the many ways of comparing forecasts with their final outcomes.
• Relative Error: It is a measure of the uncertainty of measurement compared to the size of the measurement. The relative error of the product or quotient of a number of quantities is equal to or less than the sum of their relative errors.
• Mean Percentage Error: It is the computed avg. of percentage errors wherein forecasts of a model vary from real values of the quantity being predicted .

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Define absolute error,mean absolute error , relative error and mean percentage error​

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