Table 4. Experiment results of GloVe and OHE embedding models with deep learning algorithms for ACP250 dataset.

The best accuracy percentages are represented in bold letters.

MODELS	ACC	SEN	SPE	MCC	AUC
GL+CNN	81.00	89.00	81.73	71.95	80.31
GL+LSTM	74.00	76.29	74.82	71.48	73.06
GL+BiLSTM	81.99	81.48	82.60	82.93	82.04
OHE+CNN	75.00	76.29	74.67	72.28	73.14
OHE+LSTM	83.99	85.62	88.13	81.59	84.38
OHE+BiLSTM	87.99	88.88	87.95	85.84	87.92