\begin{tabular}{|l|l|l|l| }
\hline
Prev=0.892 &  \multicolumn{3}{c|}{Accuracy - Article 3} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.9125 (0.02) & 0.9339 (0.01) & 0.9366 (0.02)\\
BaggingClassifier       & 0.9157 (0.01) & 0.9464 (0.01) & {\bf 0.9588} (0.01)\\
Bernoulli Naive Bayes   & 0.8469 (0.03) & 0.8915 (0.03) & 0.8896 (0.03)\\
Decision Tree           & 0.9005 (0.03) & 0.9168 (0.02) & 0.9289 (0.02)\\
Ensemble Extra Tree     & 0.9137 (0.01) & {\bf 0.9545} (0.01) & 0.9549 (0.01)\\
Extra Tree              & 0.8760 (0.02) & 0.9102 (0.02) & 0.9246 (0.02)\\
Gradient Boosting       & 0.9110 (0.01) & 0.9522 (0.02) & 0.9534 (0.02)\\
K-Neighbors             & 0.8997 (0.02) & 0.9230 (0.02) & 0.9029 (0.02)\\
Linear SVC              & {\bf 0.9176} (0.01) & 0.9491 (0.01) & 0.9522 (0.01)\\
Multinomial Naive Bayes & 0.8659 (0.02) & 0.8768 (0.03) & 0.8787 (0.02)\\
Neural Net              & 0.9161 (0.01) & 0.9468 (0.01) & 0.9483 (0.01)\\
RBF SVC                 & 0.8920 (0.00) & 0.8920 (0.00) & 0.8920 (0.00)\\
Random Forest           & 0.9071 (0.01) & {\bf 0.9545} (0.01) & 0.9545 (0.01)\\
\hline
\end{tabular}