Table 8 Open in new tab The performance...

Features (Parameters)	Training dataset	Validation dataset
AAC (ETree Ntree = 400)	90.23	89.97	90.10	0.80	0.97	92.27	91.75	92.01	0.84	0.97
DPC (ETree Ntree = 400)	90.75	88.82	89.78	0.80	0.96	90.72	90.21	90.46	0.81	0.96
AAC + Bin_N15C15 (g = 0.01, c = 4)	93.38	90.58	91.88	0.84	0.98	92.36	93.42	92.91	0.86	0.97
DPC + Bin_N15C15 (g = 0.001, c = 10)	92.06	91.40	91.70	0.83	0.97	91.67	87.50	89.53	0.79	0.95
AAC + Motif (g = 0.005, c = 1)	92.40	91.11	91.75	0.84	0.98	91.24	89.69	90.46	0.81	0.97
DPC + Motif (g = 0.001, c = 1)	90.85	89.82	90.34	0.81	0.97	89.69	90.21	89.95	0.80	0.95

Features (Parameters)	Training dataset	Validation dataset
AAC (ETree Ntree = 400)	90.23	89.97	90.10	0.80	0.97	92.27	91.75	92.01	0.84	0.97
DPC (ETree Ntree = 400)	90.75	88.82	89.78	0.80	0.96	90.72	90.21	90.46	0.81	0.96
AAC + Bin_N15C15 (g = 0.01, c = 4)	93.38	90.58	91.88	0.84	0.98	92.36	93.42	92.91	0.86	0.97
DPC + Bin_N15C15 (g = 0.001, c = 10)	92.06	91.40	91.70	0.83	0.97	91.67	87.50	89.53	0.79	0.95
AAC + Motif (g = 0.005, c = 1)	92.40	91.11	91.75	0.84	0.98	91.24	89.69	90.46	0.81	0.97
DPC + Motif (g = 0.001, c = 1)	90.85	89.82	90.34	0.81	0.97	89.69	90.21	89.95	0.80	0.95

Table 8

The performance of models developed on alternate dataset using hybrid features that combines composition with binary profile and motif

Features (Parameters)	Training dataset					Validation dataset
Features (Parameters)	Sen	Spc	Acc	MCC	AUROC	Sen	Spc	Acc	MCC	AUROC
AAC (ETree Ntree = 400)	90.23	89.97	90.10	0.80	0.97	92.27	91.75	92.01	0.84	0.97
DPC (ETree Ntree = 400)	90.75	88.82	89.78	0.80	0.96	90.72	90.21	90.46	0.81	0.96
AAC + Bin_N15C15 (g = 0.01, c = 4)	93.38	90.58	91.88	0.84	0.98	92.36	93.42	92.91	0.86	0.97
DPC + Bin_N15C15 (g = 0.001, c = 10)	92.06	91.40	91.70	0.83	0.97	91.67	87.50	89.53	0.79	0.95
AAC + Motif (g = 0.005, c = 1)	92.40	91.11	91.75	0.84	0.98	91.24	89.69	90.46	0.81	0.97
DPC + Motif (g = 0.001, c = 1)	90.85	89.82	90.34	0.81	0.97	89.69	90.21	89.95	0.80	0.95

Features (Parameters)	Training dataset					Validation dataset
Features (Parameters)	Sen	Spc	Acc	MCC	AUROC	Sen	Spc	Acc	MCC	AUROC
AAC (ETree Ntree = 400)	90.23	89.97	90.10	0.80	0.97	92.27	91.75	92.01	0.84	0.97
DPC (ETree Ntree = 400)	90.75	88.82	89.78	0.80	0.96	90.72	90.21	90.46	0.81	0.96
AAC + Bin_N15C15 (g = 0.01, c = 4)	93.38	90.58	91.88	0.84	0.98	92.36	93.42	92.91	0.86	0.97
DPC + Bin_N15C15 (g = 0.001, c = 10)	92.06	91.40	91.70	0.83	0.97	91.67	87.50	89.53	0.79	0.95
AAC + Motif (g = 0.005, c = 1)	92.40	91.11	91.75	0.84	0.98	91.24	89.69	90.46	0.81	0.97
DPC + Motif (g = 0.001, c = 1)	90.85	89.82	90.34	0.81	0.97	89.69	90.21	89.95	0.80	0.95

Sen: sensitivity, Spc: specificity, Acc: accuracy, MCC: Matthews correlation coefficient, AUROC: area under the receiver operating characteristic curve.

This Feature Is Available To Subscribers Only