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. 2010 Jan 8;11:15. doi: 10.1186/1471-2105-11-15

Table 3.

Best-performing numeric features, ordered by AUC

Feature AUC max. ACC SN (max. ACC) SP (max. ACC) max. FM PR (max. FM) RC (max. FM)
fraction-reactions-with-Enzymes 0.902 0.878 0.662 0.935 0.715 0.641 0.807
fraction-reactions-present 0.899 0.879 0.618 0.948 0.699 0.612 0.815
fraction-reactions-present-or-Orphaned 0.899 0.879 0.619 0.948 0.7 0.69 0.709
best-fraction-reactions-present-in-linear-path 0.898 0.879 0.662 0.936 0.703 0.682 0.726
evidence-info-content-norm-all 0.894 0.866 0.638 0.927 0.689 0.617 0.781
enzyme-info-content-norm 0.89 0.855 0.69 0.899 0.69 0.584 0.844
enzyme-info-content-unnorm 0.88 0.847 0.665 0.895 0.683 0.556 0.887
evidence-info-content-unnorm 0.875 0.841 0.526 0.925 0.657 0.511 0.918
num-reactions-with-enzymes 0.873 0.838 0.635 0.892 0.681 0.543 0.914
enzymes-per-reaction 0.871 0.842 0.686 0.883 0.688 0.567 0.875

See section "Feature Extraction and Processing" and Section 1 of Additional file 2 for description of features.

Columns 2 through 8 correspond to various performance measures: AUC = area under the ROC curve; max. ACC = maximum thresholded accuracy; SN (max. ACC) = sensitivity at maximum-accuracy threshold; SP = specificity at maximum-accuracy threshold; max. FM = maximum thresholded F-measure; PR (max. FM) = precision at maximum-F-measure threshold; RC (max. FM) = recall at maximum-F-measure threshold.