\begin{tabular}{|l|l|l|l| }
\hline
Prev=0.7464 &  \multicolumn{3}{c|}{Accuracy - Article 10} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.8160 (0.04) & 0.8982 (0.03) & 0.9231 (0.04)\\
BaggingClassifier       & {\bf 0.8620} (0.06) & 0.9355 (0.04) & 0.9374 (0.04)\\
Bernoulli Naive Bayes   & 0.7214 (0.05) & 0.8804 (0.05) & 0.8768 (0.04)\\
Decision Tree           & 0.8388 (0.07) & 0.9122 (0.04) & 0.9087 (0.03)\\
Ensemble Extra Tree     & 0.8355 (0.05) & {\bf 0.9392} (0.04) & {\bf 0.9392} (0.04)\\
Extra Tree              & 0.7999 (0.05) & 0.8537 (0.07) & 0.8479 (0.07)\\
Gradient Boosting       & 0.8514 (0.06) & 0.9390 (0.04) & 0.9338 (0.03)\\
K-Neighbors             & 0.8015 (0.07) & 0.7555 (0.02) & 0.7555 (0.02)\\
Linear SVC              & 0.8553 (0.06) & 0.9320 (0.04) & 0.9356 (0.04)\\
Multinomial Naive Bayes & 0.7301 (0.06) & 0.8427 (0.05) & 0.8214 (0.04)\\
Neural Net              & 0.7874 (0.06) & 0.8911 (0.04) & 0.8982 (0.05)\\
RBF SVC                 & 0.7465 (0.01) & 0.7465 (0.01) & 0.7465 (0.01)\\
Random Forest           & 0.8107 (0.02) & 0.9374 (0.04) & {\bf 0.9392} (0.04)\\
\hline
\end{tabular}