Question

please define
a) absolute error
b) mean absolute error
c) relative error
d) mean percentage error

Answer 1

Explanation:

Absolute error- It is referred to as the difference between the observed value( measured value) and the expected( true value).

2. Mean absolute error- It is the average of all the absolute errors or alternatively the difference between two given continuous variables.

3. Relative error- It refers to the absolute error with respect to the known value. It is generally expressed in percentage.

4. Mean percentage error- It refers to an average of all the percentage errors which represents the percentage deviation of the observed values from the expected values.

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Answer 2

Answer:

• Absolute Error. The difference between the measured or inferred value of a quantity and its actual value , given by. (sometimes with the absolute value taken) is called the absolute error. The absolute error of the sum or difference of a number of quantities is less than or equal to the sum of their absolute errors
• mean absolute error (MAE) is a measure of errors between paired observations expressing the same phenomenon. Examples of Y versus X include comparisons of predicted versus observed, subsequent time versus initial time, and one technique of measurement versus an alternative technique of measurement.
• The approximation error in some data is the discrepancy between an exact value and some approximation to it. An approximation error can occur because: the measurement of the data is not precise due to the instruments. or approximations are used instead of the real data
• , the mean percentage error (MPE) is the computed average of percentage errors by which forecasts of a model differ from actual values of the quantity being forecast

Explanation:

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