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Table 2 Evaluation Measures for Implemented Models

From: Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for Roman Urdu data

Evaluation Measures Approach/Model
RNN-LSTM RNN-biLSTM CNN
0 1 0 1 0 1
Precision 0.90 0.72 0.88 0.70 0.84 0.60
Recall 0.91 0.68 0.91 0.64 0.90 0.46
F1-Score 0.90 0.70 0.90 0.67 0.87 0.52
Accuracy 0.85 0.84 0.79
Macro average 0.80 0.78 0.69
Weighted Average 0.85 0.84 0.78
Approximate Loss 0.6 1.2 1.7