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.
The limited hunter-gatherer population size, especially for Neanderthals, makes such neglected noise possibly significant (i.e., significant genetic drift effects) for the single reference tribe and for the expected population dynamics when dealing with a finite size ensemble (i.e., a finite number of reference tribes).