\begin{tabular}{|l|l|l|l| }
\hline
Prev=0.9048 &  \multicolumn{3}{c|}{Accuracy - Article 2} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.9269 (0.03) & 0.9618 (0.03) & 0.9529 (0.03)\\
BaggingClassifier       & 0.9350 (0.03) & 0.9653 (0.03) & 0.9697 (0.03)\\
Bernoulli Naive Bayes   & 0.8818 (0.04) & 0.7662 (0.05) & 0.8062 (0.04)\\
Decision Tree           & 0.9181 (0.02) & 0.9581 (0.03) & 0.9466 (0.03)\\
Ensemble Extra Tree     & 0.9403 (0.02) & {\bf 0.9751} (0.02) & 0.9734 (0.03)\\
Extra Tree              & 0.9199 (0.03) & 0.9412 (0.03) & 0.9431 (0.03)\\
Gradient Boosting       & 0.9269 (0.03) & 0.9733 (0.02) & 0.9689 (0.02)\\
K-Neighbors             & 0.9270 (0.02) & 0.9084 (0.01) & 0.9084 (0.01)\\
Linear SVC              & {\bf 0.9448} (0.03) & 0.9716 (0.02) & {\bf 0.9760} (0.02)\\
Multinomial Naive Bayes & 0.8381 (0.07) & 0.8915 (0.03) & 0.8889 (0.04)\\
Neural Net              & 0.9447 (0.03) & 0.9618 (0.02) & 0.9618 (0.02)\\
RBF SVC                 & 0.9048 (0.00) & 0.9048 (0.00) & 0.9048 (0.00)\\
Random Forest           & 0.9305 (0.02) & 0.9742 (0.02) & 0.9680 (0.03)\\
\hline
\end{tabular}