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Table 3 Performance of classification model under different evaluation strategies.

From: Prediction of neddylation sites from protein sequences and sequence-derived properties

Evaluation Strategy Acc Sp Sn MCC AUC
Self-consistency 0.92 0.92 0.94 0.56 0.98
5-fold stratified cross-validation 0.91 0.91 0.75 0.44 0.95
10-fold stratified cross-validation 0.91 0.91 0.76 0.45 0.95
Validation set 0.90 0.91 0.67 0.39 0.83
Holdout set 0.90 0.91 0.64 0.35 0.80
  1. Cross-validation (CV) results were reported as means of 100 repeats. As two standard errors were not exceeding 0.01, they were not reported.