% Table generated by Excel2LaTeX from sheet 'Sheet1'
\begin{table}[htbp]
  \centering
  \caption[Comparison of combined model with binary classifier logit and RankNet for age prediction]{Comparison of age prediction MAE between binary classifier logit, RankNet, and combined loss models using 1,000, 10,000, and 100,000 ranked data points for ranking loss. The combined model outperforms RankNet in all instances, and outperforms the baseline classifier with 10k and 100k ranked images ($p<0.001$). $95\%$ confidence intervals are quoted based on 1,000 bootstrapping samples. Best performing model for each ranked data size marked in \textbf{bold}.}
  \resizebox{12cm}{!}{
    \begin{tabular}{lccc}
          & \multicolumn{3}{c}{\textbf{Ranked Data Points}} \\
    \multicolumn{1}{c}{\textbf{Model}} & \textbf{1,000} & \textbf{10,000} & \textbf{100,000} \\
    \hline
    Classifier & \textbf{7.126} (7.090-7.160) & 7.126 (7.090-7.160) & 7.126 (7.090-7.160) \\
    RankNet & 24.574 (24.441-24.699) & 8.228 (8.191-8.264) & 6.322 (6.291-6.353) \\
    Combined & 7.257 (7.223-7.290) & \textbf{6.607} (6.577-6.637) & \textbf{6.145} (6.115-6.174) \\
    \end{tabular}%
    }
  \label{tab:ranking:comparison}%
\end{table}%