Table 4. Performance of All Models under Consideration Are Summarized^a.

	auROC			auPR	validation accuracy
	I	II	III
seq based	0.86 (0.003)	0.90 (0.006)	0.85 (0.006)	0.83 (0.007)	0.74 (0.008)
CTD	0.87 (0.005)	0.90 (0.004)	0.86 (0.003)	0.83 (0.003)	0.75 (0.005)
dNNDRa	0.87 (0.007)	0.91 (0.005)	0.86 (0.004)	0.84 (0.005)	0.76 (0.005)
dNNDRb	0.88 (0.005)	0.93 (0.005)	0.87 (0.007)	0.86 (0.007)	0.77 (0.008)
dNNDRc	0.90 (0.002)	0.94 (0.001)	0.89 (0.002)	0.88 (0.003)	0.79 (0.004)

^aAll the models were fivefold cross-validated with the standard deviation mentioned alongside every result. The best-performing models among the cross-validated ones are marked in bold. Note: dNNDRa: att-biLSTM, dNNDRb: att-biLSTM + descriptors, dNNDRc: biLSTM + gCNN.