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Table 5 Performance of the Tuned-MLP-Out network on three data sets with 1%, 2%, and 5% active/inactive proportion respectively

From: Convolutional architectures for virtual screening

Active/inactive proportion

Bal.Accuracy

Sensitivity

Loss

AUC

F1-score

MCC

1%

0.7475

0.5000

0.5116

0.9700

0.5333

0.5289

2%

0.9671

0.9375

0.5114

0.9415

0.9009

0.8226

5%

0.9382

0.8780

0.0565

0.9991

0.9230

0.9196