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In the auto-scaling domain, a regression model that generates a greater number of small errors (function f in Fig. 12) is more desirable than a regression model that generates a fewer number of the large errors (function g in Fig. 12).
Based on the regression coefficients (R 2) of the linearized form of both equations and their errors function (F error), the Langmuir model yields a better fit for the experimental equilibrium adsorption data than the Freundlich model.
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Different statistical errors functions are used to evaluate models and determine the most accurate one.
Complementary error function of x.
Function erf represents the error function.
CPT search space; Fitness function (error function).
where is the conventional Gaussian error function.
where Φ is the error function.
where erfc is the complementary error function.
where, and is the complementary error function.
where is the complementary error function.
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