Duluth at SemEval-2020 Task 12:Offensive Tweet Identification in English with Logistic Regression
Table 5: Task C Duluth : Logistic Regression, accuracy = .779, majority classifier = .682
['IND', 'IND 537', 'GRP 69', 'OTH 47', '653', 'P .822', 'R .926', 'F1 .871']
For Task C, the input is a targeted insult and the task is to decide if the target is an individual (IND), group (GRP) or other (OTHER). the Duluth classifier’s precision was relatively high for the IND category, and overall the classifier exceeded the majority baseline.