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Table 2 Performances of deep learning models in terms of class-specific recall, precision and F1-scores, and overall accuracy

From: Text classification models for the automatic detection of nonmedical prescription medication use from social media

Classification algorithm Precision Recall F1-score Accuracy (%)
A C M U A C M U A C M U
CNN (Twitter-GloVe-embedding) 0.47 0.65 0.75 0.76 0.39 0.61 0.82 0.69 0.43 0.63 0.79 0.72 69.03
Char-CNN 0.36 0.63 0.72 0.57 0.32 0.50 0.81 0.58 0.34 0.56 0.76 0.58 64.04
BiLSTM Twitter-GloVe-embedding 0.44 0.70 0.77 0.76 0.45 0.60 0.82 0.76 0.45 0.65 0.80 0.76 70.01
  1. Best F1-score on the A class is shown in bold
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