\begin{tabular}{|l|l|l|l| }
\hline
Prev=0.9079 &  \multicolumn{3}{c|}{Accuracy - Article 5} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.9232 (0.02) & 0.9402 (0.01) & 0.9463 (0.01)\\
BaggingClassifier       & 0.9175 (0.01) & 0.9437 (0.03) & 0.9642 (0.01)\\
Bernoulli Naive Bayes   & 0.8796 (0.03) & 0.9210 (0.03) & 0.9136 (0.03)\\
Decision Tree           & 0.9088 (0.02) & 0.9254 (0.01) & 0.9407 (0.01)\\
Ensemble Extra Tree     & 0.9219 (0.01) & 0.9603 (0.01) & 0.9621 (0.01)\\
Extra Tree              & 0.8975 (0.03) & 0.9210 (0.02) & 0.9372 (0.01)\\
Gradient Boosting       & 0.9206 (0.02) & 0.9525 (0.01) & {\bf 0.9651} (0.01)\\
K-Neighbors             & 0.9210 (0.02) & 0.9127 (0.01) & 0.9127 (0.01)\\
Linear SVC              & {\bf 0.9350} (0.01) & {\bf 0.9616} (0.01) & 0.9629 (0.01)\\
Multinomial Naive Bayes & 0.8743 (0.03) & 0.9149 (0.02) & 0.9132 (0.02)\\
Neural Net              & 0.9280 (0.01) & 0.9481 (0.01) & 0.9494 (0.01)\\
RBF SVC                 & 0.9079 (0.00) & 0.9079 (0.00) & 0.9079 (0.00)\\
Random Forest           & 0.9193 (0.01) & 0.9612 (0.01) & 0.9629 (0.01)\\
\hline
\end{tabular}