RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
\centering
\begin{adjustbox}{max width=\textwidth}
\begin{tabular}{lrrrr}
\toprule
      Models &  Prec &  Rec &  F1 &  ACC \\ \hline
\multicolumn{5}{|c|}{\cellcolor{one}\textcolor{black}{RACLETTE}} \\ \hline
    KL Divergence &  \cellcolor{two}  0.71 &  0.90 &  \cellcolor{three}   0.79 & \cellcolor{three}  0.77 \\ \hline
            JS Divergence  &     0.67 & \cellcolor{two} 0.91 &    0.77 &  \cellcolor{two}  0.76 \\ \hline
             Cosine Similarity &     0.65 &\cellcolor{two} 0.91 &    0.75 &    0.74 \\ \hline
            Combined &     0.63 & \cellcolor{three}  0.95 &    0.76 &    0.72 \\ \hline
\multicolumn{5}{|c|}{\cellcolor{one}\textcolor{black}{Benchmark Models}} \\ \hline
RoBERTa + KM & \cellcolor{three}  0.72 & 0.84 & \cellcolor{two} 0.78 & \cellcolor{three} 0.77\\ \hline
BERT + KM &  0.65 &   0.80   &   0.71 &  0.69\\ 
\hline
\end{tabular}
\end{adjustbox}
\caption{Table 4: Classification results for different methods of comparing embeddings to detect risk of suicide. The higher the score (a.k.a. the greener), the better.}
\end{table}