\begin{tabular}{|l|l|l|l| }
\hline
Prev=0.8928 &  \multicolumn{3}{c|}{Accuracy - Article 6} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.9301 (0.01) & 0.9566 (0.01) & 0.9598 (0.01)\\
BaggingClassifier       & 0.9341 (0.01) & 0.9653 (0.01) & 0.9663 (0.01)\\
Bernoulli Naive Bayes   & 0.8769 (0.01) & 0.8669 (0.02) & 0.8788 (0.02)\\
Decision Tree           & 0.9274 (0.01) & 0.9421 (0.01) & 0.9514 (0.01)\\
Ensemble Extra Tree     & 0.9231 (0.01) & {\bf 0.9714} (0.01) & {\bf 0.9721} (0.01)\\
Extra Tree              & 0.8896 (0.02) & 0.9367 (0.01) & 0.9356 (0.01)\\
Gradient Boosting       & 0.9360 (0.01) & 0.9656 (0.01) & 0.9695 (0.01)\\
K-Neighbors             & 0.9054 (0.01) & 0.8936 (0.00) & 0.8938 (0.00)\\
Linear SVC              & {\bf 0.9438} (0.01) & 0.9710 (0.01) & {\bf 0.9721} (0.01)\\
Multinomial Naive Bayes & 0.8896 (0.01) & 0.8662 (0.02) & 0.8781 (0.02)\\
Neural Net              & 0.9366 (0.01) & 0.9701 (0.01) & 0.9705 (0.01)\\
RBF SVC                 & 0.8928 (0.00) & 0.8928 (0.00) & 0.8928 (0.00)\\
Random Forest           & 0.9186 (0.01) & 0.9710 (0.01) & 0.9710 (0.01)\\
\hline
\end{tabular}