\begin{tabular}{|l|l|l|l| }
\hline
 &  \multicolumn{3}{c|}{ Balanced accuracy - Multiclass} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.5359 (0.06) & 0.3097 (0.07) & 0.1664 (0.00)\\
BaggingClassifier       & 0.7155 (0.04) & 0.7423 (0.04) & {\bf 0.8921} (0.03)\\
Bernoulli Naive Bayes   & 0.1041 (0.01) & 0.4319 (0.01) & 0.3586 (0.01)\\
Decision Tree           & 0.7115 (0.04) & 0.6679 (0.02) & 0.8614 (0.04)\\
Ensemble Extra Tree     & 0.5926 (0.03) & 0.7251 (0.04) & 0.7938 (0.04)\\
Extra Tree              & 0.5134 (0.03) & 0.5027 (0.04) & 0.5310 (0.02)\\
Gradient Boosting       & 0.6606 (0.05) & 0.6584 (0.03) & 0.8227 (0.04)\\
Linear SVC              & {\bf 0.7339} (0.04) & {\bf 0.7770} (0.05) & 0.8246 (0.04)\\
Multinomial Naive Bayes & 0.4022 (0.01) & 0.4460 (0.02) & 0.3919 (0.02)\\
Neural Net              & 0.6132 (0.03) & 0.7106 (0.02) & 0.7446 (0.03)\\
RBF SVC                 & 0.0556 (0.00) & missing  & missing \\
Random Forest           & 0.5513 (0.03) & 0.7068 (0.03) & 0.7631 (0.03)\\
\hline
\end{tabular}