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  2. Chartreux - Wikipedia

    en.wikipedia.org/wiki/Chartreux

    Chartreux cats are also known for their "smile"; due to the structure of their heads and their tapered muzzles, they often appear to be smiling. Chartreux are exceptional hunters and are highly prized by farmers. As for every French cat with a pedigree, the first letter of the official name of a Chartreux cat encodes the year of its birth. [1]

  3. Symmetric mean absolute percentage error - Wikipedia

    en.wikipedia.org/wiki/Symmetric_mean_absolute...

    where A t is the actual value and F t is the forecast value. The absolute difference between A t and F t is divided by half the sum of absolute values of the actual value A t and the forecast value F t. The value of this calculation is summed for every fitted point t and divided again by the number of fitted points n.

  4. Mean absolute percentage error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_percentage_error

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  5. Mean percentage error - Wikipedia

    en.wikipedia.org/wiki/Mean_percentage_error

    where is the actual value of the quantity being forecast, is the forecast, and is the number of different times for which the variable is forecast. Because actual rather than absolute values of the forecast errors are used in the formula, positive and negative forecast errors can offset each other; as a result, the formula can be used as a ...

  6. Circular error probable - Wikipedia

    en.wikipedia.org/wiki/Circular_error_probable

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  7. Mean absolute error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_error

    Quantity disagreement is the absolute value of the mean error: [4] | = |. Allocation disagreement is MAE minus quantity disagreement. It is also possible to identify the types of difference by looking at an ( x , y ) {\displaystyle (x,y)} plot.

  8. Error bar - Wikipedia

    en.wikipedia.org/wiki/Error_bar

    This statistics -related article is a stub. You can help Wikipedia by expanding it.

  9. Normalization (statistics) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(statistics)

    In statistics and applications of statistics, normalization can have a range of meanings. [1] In the simplest cases, normalization of ratings means adjusting values measured on different scales to a notionally common scale, often prior to averaging.