Performance of Different Models

This table presents the performance of different models, including Binary classifier, Hybrid One-Class classifier, Deep One-Class Fine-tuned model, Encoder-Based One-Class Fine-tuned model, and the proposed LexiFusedNet model, is evaluated. The performance metrics include macro F1 score, AUC scores of the hate class, accuracy, FPR, and FNR. The evaluations were performed on the test dataset, with the best results indicated in bold.