BMC Bioinformatics

Table 4 Area under the ROC curve (AUC) for the Fischer data set at class level.

From: Tableau-based protein substructure search using quadratic programming

				95% confidence interval
Method	Normalization	AUC	standard error	lower	upper
MSVNS3	None	0.666	0.009	0.647	0.684
MSVNS3	norm1	0.604	0.010	0.586	0.623
MSVNS3	norm2	0.696	0.009	0.678	0.714
MSVNS3	norm3	0.628	0.010	0.610	0.647
QP tableau search	None	0.789	0.008	0.773	0.805
QP tableau search	norm1	0.833	0.008	0.819	0.848
QP tableau search	norm2	0.851	0.007	0.837	0.865
QP tableau search	norm3	0.824	0.008	0.809	0.839

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