Skip to main content

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