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Table 3 Area under the ROC curve (AUC) for the Fischer data set at fold level.

From: Tableau-based protein substructure search using quadratic programming

     95% confidence interval
Method Normalization AUC standard error lower upper
MSVNS3 None 0.788 0.017 0.754 0.821
MSVNS3 norm1 0.791 0.017 0.758 0.824
MSVNS3 norm2 0.809 0.016 0.777 0.842
MSVNS3 norm3 0.781 0.017 0.747 0.815
QP tableau search None 0.837 0.016 0.807 0.868
QP tableau search norm1 0.882 0.014 0.855 0.909
QP tableau search norm2 0.887 0.014 0.861 0.914
QP tableau search norm3 0.860 0.015 0.831 0.889