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Table 3 Performance of the DRD2 activity model

From: Molecular de-novo design through deep reinforcement learning

Set Training Validation Test
Accuracy 1.00 0.98 0.98
ROC-AUC 1.00 0.99 1.00
Precision 1.00 0.96 0.97
Recall 1.00 0.73 0.82