\begin{tabular}{|l|l|l|l| }
\hline
 &  \multicolumn{3}{c|}{ Precision - Multiclass} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.7858 (0.03) & 0.4923 (0.10) & 0.4372 (0.04)\\
BaggingClassifier       & 0.8960 (0.01) & 0.8788 (0.01) & {\bf 0.9535} (0.01)\\
Bernoulli Naive Bayes   & 0.4727 (0.04) & 0.7412 (0.01) & 0.7011 (0.01)\\
Decision Tree           & 0.8885 (0.02) & 0.8473 (0.01) & 0.9461 (0.01)\\
Ensemble Extra Tree     & 0.8740 (0.01) & 0.8923 (0.01) & 0.9213 (0.01)\\
Extra Tree              & 0.7717 (0.03) & 0.7188 (0.03) & 0.7436 (0.02)\\
Gradient Boosting       & 0.8832 (0.02) & 0.8819 (0.01) & 0.9463 (0.01)\\
Linear SVC              & {\bf 0.9099} (0.01) & {\bf 0.9152} (0.01) & 0.9428 (0.01)\\
Multinomial Naive Bayes & 0.7378 (0.02) & 0.7613 (0.01) & 0.7373 (0.03)\\
Neural Net              & 0.8672 (0.01) & 0.9039 (0.01) & 0.9194 (0.01)\\
RBF SVC                 & 0.1942 (0.00) & missing  & missing \\
Random Forest           & 0.8528 (0.01) & 0.8835 (0.01) & 0.9143 (0.01)\\
\hline
\end{tabular}