
\begin{table}[ht]
    \caption{\textbf{Intervention Choice: Random vs Uniform Counterfactual Attention Distribution.} Comparison of \ours using random and uniform counterfactual attentions across BRCA and NSCLC datasets with both ResNet50 and UNI feature extractors.}
    
    \label{tab:ablation_rebuttal}
    \centering

\resizebox{\textwidth}{!}{
\begin{tabular}{lcccccccc}
 \hline   


& \multicolumn{2}{c}{\textbf{BRCA - ResNet50}} & \multicolumn{2}{c}{\textbf{BRCA - UNI}} 
& \multicolumn{2}{c}{\textbf{NSCLC - ResNet50}} & \multicolumn{2}{c}{\textbf{NSCLC - UNI}}  \\[-0.3em]

& \textbf{AUC} ($\uparrow$) & \textbf{AUPC} ($\downarrow$) 
& \textbf{AUC} ($\uparrow$) & \textbf{AUPC} ($\downarrow$) 
& \textbf{AUC} ($\uparrow$) & \textbf{AUPC} ($\downarrow$) 
& \textbf{AUC} ($\uparrow$) & \textbf{AUPC} ($\downarrow$) 
 \\ \hline


ABMIL~\cite{ilse2018attentionbaseddeepmultipleinstance}  
& 89.2±2.6  & 83.6±22.8 
& \textbf{95.3±1.7}  & 75.3±25.3
& \textbf{93.4±1.7}  & 62.4±42.9 
& \textbf{97.6±1.0}  & 64.7±40.6 \\

\our \ours  (Random)
& \our \underline{90.1±2.8}  & \our 65.7±15.1  
& \our 94.5±1.2  & \our 63.6±23.5 
& \our \underline{91.6±2.4}  & \our 56.1±22.0 
& \our 96.5±1.6  & \our 52.0±23.4   \\

\our \ours  (Uniform)
& \our \textbf{90.2±3.1}  & \our 63.8±16.6  
& \our \underline{94.6±2.0}  & \our 71.2±21.6
& \our 91.5±2.4  & \our 57.1±21.4
& \our \underline{97.2±1.9 } & \our 76.1±23.6  \\

\hline
\end{tabular}
}
\end{table}