Duluth at SemEval-2020 Task 12:Offensive Tweet Identification in English with Logistic Regression
Table 3: Task B Duluth : Logistic Regression, accuracy = .556, majority classifier = .598
['UNT', 'UNT 533', 'TIN  [BOLD] 593', '1,126', 'P .473', 'R .932', 'F1 .628']
Task B takes the tweets labeled as OFFensive in Task A and determines if they are targeted insults (TIN) or not (UNT). In this task our precision has fallen fairly dramatically, and our accuracy lags behind even a majority classifier.