Barely Significant

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As can be seen from the figure, all the equivalent models have lower F1 index values than DG-SpanTCM in most of the cases.As the training process continues, the values of DG-SpanTCM stabilize and show an overall increasing trend without overfitting, while this is not the case for some of the comparison models, which show a decreasing trend, i.e., there is an overfitting problem, after the model stabilizes for a period of time.
The results for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p = 4$$\end{document} and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p = 8$$\end{document} reveal a clear trend: as the number of explanatory variables increases, the MSE generally rises.