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Table 2 AUC Results of cross validation experiments

From: Drug-target interaction prediction via class imbalance-aware ensemble learning

Decision Tree

0.760 (0.004)

SVM

0.804 (0.004)

Nearest Neighbor

0.814 (0.003)

Random Forest

0.855 (0.006)

Proposed Method

0.900 (0.006)

  1. Standard deviations are included between parentheses. Best AUC is indicated in bold