Figure 2
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Receiver operating characteristic curves for competing machine learning algorithms for training (A) and test sets (B). The corresponding area under the curve values are given for each algorithm. ROC: receiver operating characteristic; LR: logistics regression; AUC: area under the curve; NB: Naïve Bayes; MNB: Multinomial Naïve Bayes; kNN: k-nearest neighbor; SVM: support vector machine; DT: decision tree; RF: random forest; BERT: Bidirectional Encoder Representations from Transformers; ALBERT: A Lite BERT.