\begin{table}%T7
\caption{The confusion matrix for the Bayesian model averaging of artificial
neural networks.  The last but one line lists the total number of light curves
(TOT) to define every class. The last line lists the correct classification rate
(CC) for every class separately as measured by 10-fold cross validation.
Separation between: A: Cepheids; B: long period variables; C: RR Lyrae stars.}
\label{spec1}
%%\centering
\par
\begin{tabular}{lcccc|lcc|lccc}
\hline\hline
\multicolumn{5}{c|}{A} & \multicolumn{3}{c|}{B} &
\multicolumn{4}{c}{C}  \\
\hline
 &  CLCEP &  PTCEP &  RVTAU &  DMCEP &  &  MIRA &  SR &  &  RRAB &  RRC &  RRD\\
\hline
CLCEP &  190 &  17 &  2 &  0 & MIRA &  139 &  6 & RRAB &  126 &  5 &  1\\
PTCEP &  4 &  3 &  3 &  0 & SR &  6 &  36 &RRC &  3 &  23 &  0\\
RVTAU &  1 &  2 &  6 &  0 &  TOT  &  145 &  42 &RRD &  0 &  1 &  56\\
DMCEP &  0 &  2 &  2 &  95 &   CC(\%)  &  95.86 &  85.71 & TOT  &  129 &  29 &
57 \\
TOT  &  195 &  24 &  13 &  95 & & & & CC(\%)  &  97.67 &  79.31 &  98.24\\
CC(\%)  &  97.43 &  12.50 &  46.15 &  100.00 & & & & &  & &   \\
\hline
\end{tabular}
\end{table}