\begin{tabular}{|l|l|l|l| }
\hline
Prev=0.8609 &  \multicolumn{3}{c|}{Accuracy - Article p1} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.9101 (0.03) & 0.9462 (0.02) & 0.9516 (0.02)\\
BaggingClassifier       & 0.9124 (0.04) & {\bf 0.9647} (0.02) & 0.9654 (0.02)\\
Bernoulli Naive Bayes   & 0.8678 (0.03) & 0.8624 (0.04) & 0.8747 (0.03)\\
Decision Tree           & 0.9170 (0.02) & 0.9416 (0.02) & 0.9531 (0.02)\\
Ensemble Extra Tree     & 0.8932 (0.02) & {\bf 0.9647} (0.02) & 0.9639 (0.02)\\
Extra Tree              & 0.8655 (0.03) & 0.9370 (0.02) & 0.9216 (0.03)\\
Gradient Boosting       & {\bf 0.9339} (0.03) & 0.9631 (0.02) & {\bf 0.9685} (0.02)\\
K-Neighbors             & 0.8617 (0.02) & 0.9093 (0.03) & 0.9139 (0.03)\\
Linear SVC              & 0.9301 (0.02) & 0.9623 (0.02) & 0.9623 (0.02)\\
Multinomial Naive Bayes & 0.8732 (0.03) & 0.8678 (0.03) & 0.8770 (0.04)\\
Neural Net              & 0.9016 (0.02) & 0.9439 (0.03) & 0.9462 (0.03)\\
RBF SVC                 & 0.8609 (0.00) & 0.8609 (0.00) & 0.8609 (0.00)\\
Random Forest           & 0.8924 (0.02) & {\bf 0.9647} (0.02) & 0.9639 (0.02)\\
\hline
\end{tabular}