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\begin{table*}[tbp]
  \begin{center}
    \begin{tabular}{|llc|r@{\slug}r@{\slug}r|r@{\slug}r@{\slug}r|}
      \hhline{|---------|}
      Crawl & Documents & Max.~cat. & \multicolumn{3}{|c}{traditional \%} & \multicolumn{3}{|c|}{BDM \%} \\
      & & per service & $P$ & $R$ & $F_1$   & $AP$ & $AR$ & $AF_1$\\
      \hhline{|---------|}
      3 & A\&H & 1 & 49.3 & 45.9 & 47.6 & 69.6 & 48.3 & 57.0 \\
      & & 2 & 32.3 & 55.6 & 40.9 & 47.0 & 58.9 & 52.3 \\
      \hhline{|---------|}
      4 & A\&H & 2 & 32.0 & 55.4 & 40.6 & 47.4 & 59.1 & 52.6 \\
      \hhline{|---------|}
    \end{tabular}
  \end{center}
  % really 3C and 4D
  \caption{Evaluation of combined service categorization by voting from the document classifications
    (ML always overrules keywords; ML threshold $=0.1$)}
  \label{tab:ml-combined}
\end{table*}
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