\begin{tabular}{|l|l|l|l| }
\hline
Prev=0.9274 &  \multicolumn{3}{c|}{Accuracy - Article 1} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.9180 (0.02) & 0.9790 (0.01) & 0.9727 (0.01)\\
BaggingClassifier       & 0.9338 (0.01) & 0.9790 (0.01) & 0.9811 (0.01)\\
Bernoulli Naive Bayes   & 0.9054 (0.03) & 0.9211 (0.03) & 0.9158 (0.03)\\
Decision Tree           & 0.9348 (0.02) & 0.9716 (0.01) & 0.9663 (0.02)\\
Ensemble Extra Tree     & 0.9264 (0.01) & 0.9811 (0.01) & 0.9821 (0.01)\\
Extra Tree              & 0.9053 (0.01) & 0.9653 (0.02) & 0.9517 (0.02)\\
Gradient Boosting       & {\bf 0.9495} (0.01) & 0.9800 (0.01) & 0.9769 (0.01)\\
K-Neighbors             & 0.9317 (0.01) & 0.9306 (0.00) & 0.9306 (0.00)\\
Linear SVC              & 0.9337 (0.01) & {\bf 0.9821} (0.01) & {\bf 0.9832} (0.01)\\
Multinomial Naive Bayes & 0.8959 (0.04) & 0.9305 (0.03) & 0.9284 (0.03)\\
Neural Net              & 0.9253 (0.02) & 0.9558 (0.01) & 0.9559 (0.01)\\
RBF SVC                 & 0.9275 (0.00) & 0.9275 (0.00) & 0.9275 (0.00)\\
Random Forest           & 0.9285 (0.00) & 0.9811 (0.01) & 0.9821 (0.01)\\
\hline
\end{tabular}