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Table 1 Predictive performance of single category of feature

From: 6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site

Feature category

ACC (95%CI)

AUC (95%CI)

NAC

0.5760 (0.5687–0.5834)

0.6134 (0.6043–0.6225)

Kmer(K = 3)

0.6776 (0.6730–0.6822)

0.7447 (0.7386–0.7509)

ANF

0.8005 (0.7959–0.8051)

0.8795 (0.8768–0.8823)

ENAC

0.9348 (0.9316–0.9379)

0.9799 (0.9781–0.9818)

One-hot

0.9461 (0.9428–0.9495)

0.9847 (0.9834–0.9860)

NCP

0.9447 (0.9420–0.9474)

0.9840 (0.9831–0.9849)

EIIP

0.9427 (0.9395–0.9458)

0.9833 (0.9822–0.9844)