\begin{table}
\small
\caption{Cumulative number of negative examples (outliers)
used from the training set to train the outlier-SVM classifier.}
\label{TABLE-cumulative}
\footnotesize
\begin{tabular}{|l|l|l|l|l|l|l|l|l|}  
\multicolumn{9}{l}{Vector Dimension 10} \\
\hline 
{\bf Category Name }  &Original &1  &2   &3   &4   &5   &6    &7   \\ \hline \hline
Earn                  &966     &35 &144 &231 &318 &451 &630  &765 \\
Acquisitions          &590     &33 &78  &157 &254 &371 &467  &532 \\ 
Money-fx              &187     &7  &26  &43  &67  &101 &123  &157 \\
Grain                 &151     &2  &21  &37  &61  &100 &122  &139 \\
Crude                 &155     &1  &16  &30  &55  &72  &92   &110 \\
Trade                 &133     &2  &9   &17  &27  &50  &73   &91 \\
Interest              &123     &3  &8   &19  &38  &51  &84   &107   \\
Ship                  &65      &8  &20  &33  &46  &53  &58   &63    \\
Wheat                 &62      &1  &5   &8   &23  &39  &46   &49       \\
Corn                  &62      &2  &7   &8   &20  &30  &35   &44        \\
\hline

\end{tabular}


\footnotesize
\begin{tabular}{|l|l|l|l|l|l|l|l|}  
\multicolumn{8}{l}{Vector Dimension 20} \\
\hline 
{\bf Category Name }    &Original &3 &4 &5 &6 &7 &8\\ \hline \hline
Earn                    &966 &41 &120 &235 &410 &538 &650 \\ 
Acquisitions            &590 &98 &148 &235 &311 &368 &422 \\ 
Money-fx                &187 &18 &30  &48  &74  &97  &118 \\
Grain                   &151 &13 &29  &45  &68  &96  &110 \\
Crude                   &155 &14 &23  &37  &49  &65  &82 \\
Trade                   &133 &8  &14  &18  &27  &39  &51\\
Interest                &123 &11 &14  &35  &45  &62  &78 \\
Ship                    &65  &20 &31  &35  &40  &47  &52 \\
Wheat                   &62  &1  &7   &15  &23  &32  &45 \\
Corn                    &62  &2  &7   &9   &11  &26  &32\\
\hline

\end{tabular}


%\end{document}


\end{table}

