Overall these results suggest that the SVM using IG for feature selection is the most effective method for correctly classifying both "onevent" and "off-event" sentences.
it achieves 90.23% and 96.70% F1 score for these Table 4: % Precision, Recall and F1 for both classes as well as the classification accuracy achieved by all algorithms using a 50:50 train/test split where the target event type is "Die".