Fig. 3
From: Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods
Number of misclassifications for different model combinations. The y-axis shows the number of errors in all possible intersections of the error sets made by the different models. That is, “All” is the number of entities that are misclassified by all three models; “Rule-based” is the number of entities that are misclassified by only the rule-based model; “RobBERT & BiLSTM” is the number of entities misclassified by both the RobBERT and biLSTM models, but not the rule-based model; etc