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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
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BMC Bioinformatics

ISSN: 1471-2105

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