NL-FIIT at SemEval-2019 Task 9: Neural Model Ensemble for Suggestion Mining
Table 3: Results of unsubmitted models in different measures for subtask B
['[BOLD] model', '[BOLD] micro F1', '[BOLD] macro F1', '[BOLD] binary F1']
B. We can see that the best model obtained binary F1 score 0.6770 and both types of model obtained better results than each model separately. For both types of model ensemble all 3 models were used. Results for voting ensemble were not part of the official submissions.