Table 1.

Comparison of performance between our model and other machine learning algorithms.

Classifier	Accuracy	Precision	Recall	F-measure	AUC
SVM	0.7654	0.4931	0.3037	0.3759	0.6045
RF	0.7252	0.4295	0.5527	0.4833	0.6651
DT	0.7134	0.3809	0.3713	0.3760	0.5942
Adaboost	0.7409	0.4347	0.3797	0.4054	0.6150
Zeng et al. (2019)	0.7055	0.3802	0.4219	0.3999	0.6067
BiLSTM	0.7369	0.4803	0.5742	0.5231	0.6829