BMC Bioinformatics

Table 2 Evaluation of learning results by 10 × 10 stratified cross-validation of DT and ILP programs

From: Integrative relational machine-learning for understanding drug side-effect profiles

SEP	DT			ILP
	Acc	Spec	Sens	Acc	Spec	Sens
SEP_1	0.65	0.86	0.39	0.61	0.63	0.6
SEP_2	0.69	0.88	0.4	0.63	0.69	0.54
SEP_3	0.71	0.88	0.47	0.71	0.77	0.63
SEP_4	0.66	0.89	0.32	0.62	0.7	0.51
SEP_5	0.68	0.88	0.38	0.64	0.7	0.54
SEP_6	0.68	0.87	0.39	0.61	0.69	0.49
SEP_7	0.65	0.86	0.32	0.6	0.67	0.49
SEP_8	0.7	0.87	0.44	0.67	0.73	0.57
SEP_9	0.69	0.84	0.46	0.69	0.75	0.59
SEP_10	0.7	0.89	0.4	0.65	0.76	0.47
SEP_11	0.7	0.88	0.44	0.7	0.82	0.45
SEP_12	0.71	0.88	0.45	0.7	0.76	0.61
SEP_13	0.67	0.88	0.35	0.66	0.74	0.54
SEP_14	0.69	0.89	0.39	0.63	0.71	0.51
SEP_15	0.71	0.9	0.43	0.69	0.76	0.6
SEP_16	0.69	0.89	0.39	0.66	0.72	0.57
SEP_17	0.74	0.89	0.52	0.65	0.74	0.51
SEP_18	0.65	0.87	0.34	0.61	0.69	0.5
SEP_19	0.74	0.91	0.47	0.72	0.77	0.64 0
SEP_20	0.71	0.89	0.44	0.64	0.73	0.51
SEP_21	0.72	0.9	0.46	0.64	0.72	0.54
SEP_22	0.65	0.88	0.32	0.61	0.69	0.48
SEP_23	0.71	0.89	0.43	0.63	0.7	0.51
SEP_24	0.68	0.87	0.4	0.62	0.71	0.5
SEP_25	0.71	0.9	0.43	0.65	0.72	0.56
SEP_26	0.69	0.88	0.4	0.62	0.69	0.52
Average	0.67	0.83	0.43	0.65	0.72	0.54

Acc: accuracy, Spec: specificity, Sens: sensitivity.

Back to article page

ISSN: 1471-2105

Contact us

General enquiries: journalsubmissions@springernature.com