Skip to main content

Table 5 Performance comparison between multi-task [10] and meta-learning neural networks

From: Comprehensive ensemble in QSAR prediction for drug discovery

Assay ID

Multi-task

Proposed (Meta-learning)

1851_1a2

0.938

0.943

1851_2c19

0.903

0.908

1851_2c9

0.907

0.908

1851_2d6

0.861

0.892

1851_3a4

0.897

0.920

1915

0.750

0.764

2358

0.751

0.807

463213

0.676

0.694

463215

0.654

0.634

488912

0.816

0.700

488915

0.873

0.739

488917

0.894

0.841

488918

0.842

0.801

492992

0.829

0.862

504607

0.670

0.726

624504

0.889

0.904

651739

0.825

0.809

651744

0.900

0.909

652065

0.792

0.832

  1. The mean AUC values for both neural networks are shown (bold: top AUC on each dataset)