Notice that, e r ( t ) denotes relative error at time t and based on the relative error values, we define level of accuracy of the model A c ( t ) as, 24 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$ Ac(t) =\left\{\begin{array}{ll} \text{highly significant} & \quad \text{if}\ e_{r}(t) <5, \\ \text{significant} & \quad \text{if}\ 5 \leq e_{r}(t) <10, \\ \text{average} & \quad \text{if}\ 10 \leq e_{r}(t) <15, \\ \text{poor} & \quad \text{if}\ 15 \leq e_{r}(t). \end{array}\right. $$ \end{document} Ac ( t ) = highly significant if e r ( t ) < 5 , significant if 5 ≤ e r ( t ) < 10 , average if 10 ≤ e r ( t ) < 15 , poor if 15 ≤ e r ( t ) .
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