\begin{tabular}{|l|l|l|l| }
\hline
Prev=0.6397 &  \multicolumn{3}{c|}{Accuracy - Article 34} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & {\bf 0.7586} (0.09) & 0.6927 (0.10) & 0.6712 (0.12)\\
BaggingClassifier       & 0.6832 (0.11) & 0.6849 (0.07) & 0.6277 (0.09)\\
Bernoulli Naive Bayes   & 0.6629 (0.06) & 0.6980 (0.07) & 0.6837 (0.05)\\
Decision Tree           & 0.6896 (0.09) & 0.7074 (0.11) & 0.6629 (0.12)\\
Ensemble Extra Tree     & 0.6629 (0.05) & {\bf 0.7515} (0.07) & 0.7152 (0.08)\\
Extra Tree              & 0.6321 (0.09) & 0.6182 (0.17) & 0.6889 (0.14)\\
Gradient Boosting       & 0.6129 (0.10) & 0.6419 (0.10) & 0.6568 (0.10)\\
K-Neighbors             & 0.6540 (0.03) & 0.6397 (0.01) & 0.6397 (0.01)\\
Linear SVC              & 0.7135 (0.09) & 0.7454 (0.10) & 0.7383 (0.10)\\
Multinomial Naive Bayes & 0.6931 (0.09) & 0.7134 (0.06) & 0.7063 (0.08)\\
Neural Net              & 0.6563 (0.09) & 0.7228 (0.08) & {\bf 0.7574} (0.06)\\
RBF SVC                 & 0.6397 (0.01) & 0.6397 (0.01) & 0.6397 (0.01)\\
Random Forest           & 0.6760 (0.05) & 0.7074 (0.09) & 0.7069 (0.05)\\
\hline
\end{tabular}