\begin{tabular}{|l|l|l|l| }
\hline
Prev=0.8609 &  \multicolumn{3}{c|}{Precision - Article p1} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.9103 & 0.9479 & 0.9515\\
BaggingClassifier       & 0.9121 & {\bf 0.9655} & 0.9665\\
Bernoulli Naive Bayes   & 0.8471 & 0.9073 & 0.9103\\
Decision Tree           & 0.9141 & 0.9439 & 0.9545\\
Ensemble Extra Tree     & 0.8857 & 0.9653 & 0.9647\\
Extra Tree              & 0.8491 & 0.9390 & 0.9210\\
Gradient Boosting       & {\bf 0.9317} & 0.9643 & {\bf 0.9696}\\
K-Neighbors             & 0.8106 & 0.9011 & 0.9180\\
Linear SVC              & 0.9284 & 0.9632 & 0.9632\\
Multinomial Naive Bayes & 0.8940 & 0.9088 & 0.9123\\
Neural Net              & 0.8927 & 0.9433 & 0.9452\\
RBF SVC                 & 0.7411 & 0.7411 & 0.7411\\
Random Forest           & 0.8882 & 0.9653 & 0.9647\\
\hline
\end{tabular}