Racial Bias in Hate Speech and Abusive Language Detection Datasets
Table 1: Classifier performance
['Dataset', 'Class', 'Precision', 'Recall', 'F1']
The performance of these models on the 20% held-out validation data is reported in Table 1. [CONTINUE] Overall we see varying performance across the classifiers, with some performing much [CONTINUE] better out-of-sample than others. In particular, we see that hate speech and harassment are particularly difficult to detect. Since we are primarily interested in within classifier, between corpora performance, any variation between classifiers should not impact our results.