Table 6. Experiment results of Word2Vec embedding model with deep learning algorithms for ACPs250 dataset.

The best accuracy percentages are represented in bold letters.

MODELS	ACC	SEN	SPE	MCC	AUC
WS+CNN	57.99	59.95	57.04	16.03	62.37
WC+CNN	74.00	72.34	79.56	41.89	81.23
WS+LSTM	75.99	72.68	81.23	50.96	85.79
WC+LSTM	73.00	71.42	74.23	47.78	81.06
WS+BiLSTM	87.50	86.12	89.67	76.13	93.45
WC+BiLSTM	90.00	92.50	87.50	79.08	94.25