alabnii/sciclaimeval-shared-task huggingface dataset:
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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} 0.93 & \cellcolor{two} 0.78 & \cellcolor{two} 0.76 \\ \hline
Cosine Similarity & 0.65 & 0.80 & 0.71 & 0.69\\
\hline
Combined &
\cellcolor{three} 0.72 & 0.84 & \cellcolor{two} 0.78 & \cellcolor{three} 0.77\\
\hline
\multicolumn{5}{|c|}{\cellcolor{one}\textcolor{black}{Benchmark Models}} \\ \hline
RoBERTa + KM & 0.63 & \cellcolor{three} 0.95 & 0.76 & 0.72 \\
\hline
BERT + KM 0.65 &\cellcolor{two} 0.93 & 0.77 & 0.74 \\

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\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.}
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