\begin{tabular}{|l|l|l|l| }
\hline
Prev=0.7292 &  \multicolumn{3}{c|}{Accuracy - Article 8} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.8720 (0.04) & 0.9208 (0.03) & 0.9310 (0.03)\\
BaggingClassifier       & 0.8774 (0.04) & 0.9317 (0.03) & 0.9534 (0.02)\\
Bernoulli Naive Bayes   & 0.7331 (0.02) & 0.9045 (0.04) & 0.9084 (0.04)\\
Decision Tree           & 0.8565 (0.04) & 0.8999 (0.03) & 0.9340 (0.02)\\
Ensemble Extra Tree     & 0.8464 (0.04) & {\bf 0.9488} (0.02) & 0.9488 (0.02)\\
Extra Tree              & 0.7720 (0.04) & 0.8844 (0.05) & 0.8782 (0.04)\\
Gradient Boosting       & 0.8766 (0.04) & 0.9387 (0.02) & {\bf 0.9542} (0.03)\\
K-Neighbors             & 0.7774 (0.05) & 0.7812 (0.04) & 0.7851 (0.04)\\
Linear SVC              & {\bf 0.8968} (0.03) & 0.9410 (0.02) & 0.9457 (0.02)\\
Multinomial Naive Bayes & 0.7665 (0.04) & 0.9007 (0.03) & 0.9022 (0.03)\\
Neural Net              & 0.8293 (0.06) & 0.9294 (0.03) & 0.9364 (0.02)\\
RBF SVC                 & 0.7293 (0.00) & 0.7293 (0.00) & 0.7293 (0.00)\\
Random Forest           & 0.8309 (0.03) & {\bf 0.9488} (0.02) & 0.9488 (0.02)\\
\hline
\end{tabular}