\begin{tabular}{|l|l|l|l| }
\hline
Prev=0.8609 &  \multicolumn{3}{c|}{F1 score - Article p1} \\
\cline{2-4} & desc & BoW & both \\ \hline
AdaBoost                & 0.9079 & 0.9441 & 0.9495\\
BaggingClassifier       & 0.9100 & {\bf 0.9635} & 0.9641\\
Bernoulli Naive Bayes   & 0.8501 & 0.8753 & 0.8852\\
Decision Tree           & 0.9140 & 0.9413 & 0.9526\\
Ensemble Extra Tree     & 0.8641 & 0.9634 & 0.9627\\
Extra Tree              & 0.8489 & 0.9346 & 0.9181\\
Gradient Boosting       & {\bf 0.9288} & 0.9619 & {\bf 0.9671}\\
K-Neighbors             & 0.8229 & 0.8863 & 0.8956\\
Linear SVC              & 0.9258 & 0.9614 & 0.9614\\
Multinomial Naive Bayes & 0.8805 & 0.8797 & 0.8874\\
Neural Net              & 0.8923 & 0.9401 & 0.9418\\
RBF SVC                 & 0.7965 & 0.7965 & 0.7965\\
Random Forest           & 0.8604 & 0.9634 & 0.9627\\
\hline
\end{tabular}