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  2. Relative change - Wikipedia

    en.wikipedia.org/wiki/Relative_change

    Relative change. In any quantitative science, the terms relative change and relative difference are used to compare two quantities while taking into account the "sizes" of the things being compared, i.e. dividing by a standard or reference or starting value. [1] The comparison is expressed as a ratio and is a unitless number.

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    en.wikipedia.org/wiki/how-to-calculate-relative...

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  4. Fold change - Wikipedia

    en.wikipedia.org/wiki/Fold_change

    Fold change. Fold change is a measure describing how much a quantity changes between an original and a subsequent measurement. It is defined as the ratio between the two quantities; for quantities A and B the fold change of B with respect to A is B / A. In other words, a change from 30 to 60 is defined as a fold-change of 2.

  5. Coefficient of variation - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_variation

    In probability theory and statistics, the coefficient of variation ( CV ), also known as normalized root-mean-square deviation (NRMSD), percent RMS, and relative standard deviation ( RSD ), is a standardized measure of dispersion of a probability distribution or frequency distribution. It is defined as the ratio of the standard deviation to the ...

  6. Mean absolute percentage error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_percentage_error

    Their difference is divided by the actual value A t. The absolute value of this ratio is summed for every forecasted point in time and divided by the number of fitted points n . MAPE in regression problems [ edit ]

  7. Measures of relative difference are unitless numbers expressed as a fraction. Corresponding values of percent difference would be obtained by multiplying these values by 100 (and appending the % sign to indicate that the value is a percentage). Domain. The domain restriction of relative change to positive numbers often poses a constraint.

  8. Mean absolute error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_error

    The MAE is conceptually simpler and also easier to interpret than RMSE: it is simply the average absolute vertical or horizontal distance between each point in a scatter plot and the Y=X line. In other words, MAE is the average absolute difference between X and Y.

  9. Mean absolute difference - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_difference

    The mean absolute difference (univariate) is a measure of statistical dispersion equal to the average absolute difference of two independent values drawn from a probability distribution. A related statistic is the relative mean absolute difference, which is the mean absolute difference divided by the arithmetic mean, and equal to twice the Gini ...

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