As you know extractive text summarization is a binary classification problem!(a sentence should be included in summary or not). we have developed our text summarization system with three different algorithms and evaluated them with ROUGE. here is our result
My question is which parametes is more important in text summarization systems. As you can see model 1 has higher recall but lower precision and model 2 has lower recall but higher precision so which one should be selected as the best model?