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Table 6 Performance comparison with Multi-task neural networks [10] on HIV datasets [29]

From: Comprehensive ensemble in QSAR prediction for drug discovery

  AUC Accuracy MCC F1-score
Multi-task [10] 0.714 ±0.007 0.947 ±0.009 0.260 ±0.020 0.972 ±0.005
Meta-learning 0.714 ±0.007 0.964 ±0.001 0.269 ±0.026 0.982 ±0.001
  1. The table shows the average test set of various measures for Multi-task neural networks and Meta-learning neural networks