\begin{figure}[th]
    \centering
    \subfloat[$\rho_\text{max} = 0.2$]{
        \includegraphics[width=0.3\linewidth]{imgs/scaling_kendall_acc_20.pdf}
    }
    \subfloat[$\rho_\text{max} = 0.5$]{
        \includegraphics[width=0.3\linewidth]{imgs/scaling_kendall_acc_50.pdf}
    }
    \subfloat[$\rho_\text{max} = 0.9$]{
        \includegraphics[width=0.3\linewidth]{imgs/scaling_kendall_acc_90.pdf}
    }
    \caption{Kendall's tau correlation between ranking metrics and ARI with ground truth as the number of models in the ensemble increase. Each model has an accuracy bounded between 10\% and $\rho_\text{max}$.}
    \label{fig:scaling_kendall}
\end{figure}