\begin{tabular}{|l|l|l|l| }
\hline
Prev=0.8451 &  \multicolumn{3}{c|}{Accuracy - Article 11} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.8591 (0.06) & 0.9340 (0.04) & 0.9342 (0.04)\\
BaggingClassifier       & 0.8736 (0.05) & 0.9242 (0.04) & 0.9338 (0.04)\\
Bernoulli Naive Bayes   & 0.8126 (0.08) & 0.8593 (0.09) & 0.8641 (0.08)\\
Decision Tree           & 0.8314 (0.06) & 0.9108 (0.05) & 0.9247 (0.06)\\
Ensemble Extra Tree     & 0.8643 (0.03) & {\bf 0.9483} (0.03) & {\bf 0.9671} (0.03)\\
Extra Tree              & 0.8128 (0.08) & 0.9065 (0.06) & 0.8775 (0.09)\\
Gradient Boosting       & 0.8597 (0.05) & 0.9201 (0.05) & 0.9437 (0.06)\\
K-Neighbors             & 0.8597 (0.04) & 0.8455 (0.02) & 0.8455 (0.02)\\
Linear SVC              & {\bf 0.9065} (0.05) & {\bf 0.9483} (0.02) & 0.9483 (0.02)\\
Multinomial Naive Bayes & 0.7790 (0.07) & 0.8870 (0.06) & 0.8734 (0.07)\\
Neural Net              & 0.8502 (0.07) & 0.9342 (0.05) & 0.9160 (0.07)\\
RBF SVC                 & 0.8455 (0.02) & 0.8455 (0.02) & 0.8455 (0.02)\\
Random Forest           & 0.8550 (0.04) & 0.9437 (0.04) & {\bf 0.9671} (0.04)\\
\hline
\end{tabular}