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paper/tables/tab_data_efficiency.tex
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paper/tables/tab_data_efficiency.tex
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\begin{table}[htbp]
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\centering
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\caption{Data-efficiency sweep on CICIDS2017. Both architectures evaluated on the full 1.2M benign + 500K attack set; only training data size varies.}
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\label{tab:data_efficiency}
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\begin{tabular}{lrrrrr}
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\toprule
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arch & n\_train & tnorm\_auroc & tnorm\_auprc & nll\_auroc & nll\_auprc \\
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\midrule
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A1 & 1000 & 0.9671 & 0.8985 & 0.9575 & 0.8871 \\
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A1 & 3000 & 0.9791 & 0.9199 & 0.9584 & 0.8862 \\
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A1 & 10000 & 0.9920 & 0.9653 & 0.9856 & 0.9533 \\
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A1 & 30000 & 0.9942 & 0.9772 & 0.9890 & 0.9674 \\
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A1 & 100000 & 0.9948 & 0.9791 & 0.9902 & 0.9686 \\
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A9 & 1000 & 0.9573 & 0.8785 & 0.9458 & 0.8647 \\
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A9 & 3000 & 0.9857 & 0.9380 & 0.9766 & 0.9229 \\
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A9 & 10000 & 0.9931 & 0.9672 & 0.9901 & 0.9612 \\
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A9 & 30000 & 0.9938 & 0.9746 & 0.9906 & 0.9686 \\
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A9 & 100000 & 0.9950 & 0.9809 & 0.9929 & 0.9756 \\
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\bottomrule
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\end{tabular}
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\end{table}
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