BMC Medical Genomics

Table 4 Average scores of the top 10% of the best performing KEGG pathways for each classifier.

From: A categorical network approach for discovering differentially expressed regulations in cancer

		ACC				AUC
datasets	BNKL	SVM	LAS	PC	BNKL	SVM	LAS	PC
BRS1,BRS2	0.61	0.57	0.56	0.61	0.64	0.63	0.61	0.64
BER1,BER2	0.77	0.75	0.74	0.74	0.84	0.87	0.87	0.82
BER2,BER3	0.75	0.72	0.77	0.69	0.82	0.80	0.86	0.78
BER3,BER4	0.71	0.65	0.75	0.68	0.80	0.73	0.85	0.77
BER1,BER3	0.69	0.65	0.68	0.65	0.75	0.74	0.79	0.74
BER1,BER4	0.74	0.69	0.72	0.73	0.82	0.79	0.85	0.80
BER2,BER4	0.83	0.81	0.81	0.76	0.88	0.89	0.89	0.83
LNG1,LNG2	0.77	0.76	0.78	0.82	0.92	0.92	0.92	0.91
LNG1,LNG3	0.90	0.90	0.86	0.83	0.94	0.95	0.91	0.89
LNG2,LNG3	0.81	0.80	0.81	0.78	0.91	0.95	0.93	0.87
GST1,GST2	0.82	0.78	0.85	0.75	0.87	0.88	0.88	0.83
GST3,GST2	0.78	0.79	0.80	0.71	0.85	0.89	0.89	0.79
GST1,GST3	0.82	0.77	0.82	0.71	0.90	0.88	0.92	0.80
KDN1,KDN2	0.89	0.85	0.82	0.80	0.98	0.97	0.95	0.96
KDN1,KDN3	0.89	0.82	0.86	0.76	0.98	0.97	0.99	0.97
KDN3,KDN2	1.00	1.00	0.99	0.82	1.00	1.00	0.99	0.99
Average	0.80	0.77	0.79	0.74	0.87	0.87	0.88	0.84
Ranks	53	35	47	25	46	42	50	22

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ISSN: 1755-8794

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