\begin{tabular}{|l|l|l|l| }
\hline
 &  \multicolumn{3}{c|}{ F1 score - Multiclass} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.7645 (0.04) & 0.4842 (0.15) & 0.4799 (0.04)\\
BaggingClassifier       & 0.8953 (0.01) & 0.8771 (0.01) & {\bf 0.9500} (0.01)\\
Bernoulli Naive Bayes   & 0.3936 (0.01) & 0.7324 (0.01) & 0.7058 (0.01)\\
Decision Tree           & 0.8872 (0.02) & 0.8444 (0.01) & 0.9431 (0.01)\\
Ensemble Extra Tree     & 0.8556 (0.01) & 0.8858 (0.01) & 0.9173 (0.01)\\
Extra Tree              & 0.7710 (0.03) & 0.7148 (0.03) & 0.7423 (0.02)\\
Gradient Boosting       & 0.8798 (0.02) & 0.8825 (0.01) & 0.9458 (0.01)\\
Linear SVC              & {\bf 0.9089} (0.01) & {\bf 0.9115} (0.01) & 0.9404 (0.01)\\
Multinomial Naive Bayes & 0.7402 (0.01) & 0.7561 (0.01) & 0.7440 (0.02)\\
Neural Net              & 0.8661 (0.01) & 0.9018 (0.01) & 0.9181 (0.01)\\
RBF SVC                 & 0.2696 (0.00) & missing  & missing \\
Random Forest           & 0.8351 (0.01) & 0.8773 (0.01) & 0.9093 (0.01)\\
\hline
\end{tabular}